{"owner":"mksglu","repo":"context-mode","hasSkills":true,"totalSkillsCount":35,"totalTokensCount":46168,"categories":["marketplace","plugin-manifest","anthropic-skill","claude-rule","copilot-instructions"],"hasMcp":false,"mcpConfig":null,"found":[".agents/plugins/marketplace.json",".claude-plugin/marketplace.json",".claude-plugin/plugin.json",".claude/skills/context-mode-ops/SKILL.md",".claude/skills/context-mode-ops/agent-teams.md",".claude/skills/context-mode-ops/communication.md",".claude/skills/context-mode-ops/marketing.md",".claude/skills/context-mode-ops/release.md",".claude/skills/context-mode-ops/review-pr.md",".claude/skills/context-mode-ops/tdd.md",".claude/skills/context-mode-ops/triage-issue.md",".claude/skills/context-mode-ops/validation.md",".codex-plugin/plugin.json",".cursor-plugin/plugin.json",".openclaw-plugin/openclaw.plugin.json","CLAUDE.md","configs/antigravity-cli/plugin.json","configs/antigravity-cli/skills/context-mode/SKILL.md","configs/copilot-cli/.github/plugin/plugin.json","configs/copilot-cli/skills/context-mode/SKILL.md","configs/jetbrains-copilot/copilot-instructions.md","configs/vscode-copilot/copilot-instructions.md","openclaw.plugin.json","skills/context-mode/SKILL.md","skills/context-mode/references/anti-patterns.md","skills/context-mode/references/patterns-javascript.md","skills/context-mode/references/patterns-python.md","skills/context-mode/references/patterns-shell.md","skills/ctx-doctor/SKILL.md","skills/ctx-index/SKILL.md","skills/ctx-insight/SKILL.md","skills/ctx-purge/SKILL.md","skills/ctx-search/SKILL.md","skills/ctx-stats/SKILL.md","skills/ctx-upgrade/SKILL.md"],"skills":{".agents/plugins/marketplace.json":"{\n  \"name\": \"context-mode\",\n  \"interface\": {\n    \"displayName\": \"context-mode\"\n  },\n  \"plugins\": [\n    {\n      \"name\": \"context-mode\",\n      \"source\": {\n        \"source\": \"url\",\n        \"url\": \"./\"\n      },\n      \"policy\": {\n        \"installation\": \"AVAILABLE\",\n        \"authentication\": \"ON_INSTALL\"\n      },\n      \"category\": \"Productivity\"\n    }\n  ]\n}\n",".claude-plugin/marketplace.json":"{\n  \"name\": \"context-mode\",\n  \"owner\": {\n    \"name\": \"Mert Koseoğlu\",\n    \"email\": \"code.bm.ksglu@gmail.com\"\n  },\n  \"metadata\": {\n    \"description\": \"Claude Code plugins by Mert Koseoğlu\",\n    \"version\": \"1.0.169\"\n  },\n  \"plugins\": [\n    {\n      \"name\": \"context-mode\",\n      \"source\": \"./\",\n      \"description\": \"Claude Code MCP plugin that saves 98% of your context window. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and intent-driven search.\",\n      \"version\": \"1.0.169\",\n      \"author\": {\n        \"name\": \"Mert Koseoğlu\"\n      },\n      \"category\": \"development\",\n      \"keywords\": [\n        \"mcp\",\n        \"context-window\",\n        \"sandbox\",\n        \"code-execution\",\n        \"fts5\",\n        \"bm25\",\n        \"playwright\",\n        \"context7\"\n      ]\n    }\n  ]\n}\n",".claude-plugin/plugin.json":"{\n  \"name\": \"context-mode\",\n  \"version\": \"1.0.169\",\n  \"description\": \"MCP server that saves 98% of your context window with session continuity. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and automatic state restore across compactions.\",\n  \"author\": {\n    \"name\": \"Mert Koseoğlu\",\n    \"url\": \"https://github.com/mksglu\"\n  },\n  \"homepage\": \"https://github.com/mksglu/context-mode#readme\",\n  \"repository\": \"https://github.com/mksglu/context-mode\",\n  \"license\": \"Elastic-2.0\",\n  \"keywords\": [\n    \"mcp\",\n    \"context-window\",\n    \"sandbox\",\n    \"code-execution\",\n    \"fts5\",\n    \"bm25\",\n    \"playwright\",\n    \"context7\"\n  ],\n  \"mcpServers\": {\n    \"context-mode\": {\n      \"command\": \"node\",\n      \"args\": [\n        \"${CLAUDE_PLUGIN_ROOT}/start.mjs\"\n      ]\n    }\n  },\n  \"skills\": \"./skills/\"\n}\n",".claude/skills/context-mode-ops/SKILL.md":"---\nname: context-mode-ops\ndescription: Manage context-mode GitHub issues, PRs, releases, and marketing with parallel subagent army. Orchestrates 10-20 dynamic agents per task. Use when triaging issues, reviewing PRs, releasing versions, writing LinkedIn posts, announcing releases, fixing bugs, merging contributions, validating ENV vars, testing adapters, or syncing branches.\n---\n\n## OWNER OPERATING DIRECTIVE — ABSOLUTE, NON-NEGOTIABLE PREAMBLE\n\n<owner_operating_directive importance=\"ABSOLUTE\" override-policy=\"this-supersedes-all-other-sections\">\n\n**STOP. Read this in full before doing anything else in this skill.**\n\nThis is the project owner's standing operating directive for ALL context-mode-ops\nwork — issue triage, bug fixes, PR reviews, releases, marketing, every wave.\nIt is the **single source of truth** for HOW you operate inside this skill. It\n**precedes and overrides** every other gate, checklist, table, or instruction\nthat appears below. The blocking gates below (Claim Verification, TDD-First,\nGrill-Me) are **concrete instrumentations** of the principles in this preamble —\nnot competing rules. If any later section conflicts with this preamble,\nTHIS PREAMBLE WINS.\n\nYou MUST internalize the directive verbatim, in the owner's own voice. **Do\nNOT paraphrase, summarize, or compress** the text below in your reasoning.\nWhen you make decisions during ops work, you are making them under THIS\ndirective.\n\n---\n\n> Run /diagnose for everything in parallel with an agent army. All 17\n> adapters and all 3 operating systems matter equally. We do not get\n> to pick favorites. I want you to coordinate this team as an\n> Engineering Manager. Each agent must run in parallel and delegate\n> work to subagents. Those subagents must be at least as smart as the\n> main agent. So you will give them ultrathink authority. I want to\n> add a core rule: there are many adapter and plugin examples in your\n> refs/ directory right now. When relevant, you must use them as\n> evidence to ground your work. LLMs are programmed to take the path\n> of minimum energy. So when an LLM tells you \"I read those\n> directories\", never trust it. LLMs are wide open to hallucination,\n> fabrication, and quiet skipping. So you will use context-mode and\n> verify by actually reading the lines of code, every time. That\n> alone is not enough. You must also reason about what you read so\n> you actually understand it. For that, wear your PO hat and think\n> like a PO. For example: on one platform we completely rewrote a\n> contributor's config. That is unacceptable to me. In situations\n> like this, wear your business hat. Writing code is not what is\n> valuable. Writing code via /tdd is valuable. But what is even more\n> valuable than that is being able to think with the business hat\n> and the sales hat on. /context-mode-ops gives you Staff, Architect,\n> and Lead-level teams and engineers. Use that to the limit. You are\n> running on my main energy hub right now. You work here. So we have\n> no energy budget concerns. We work fully local. We have no one we\n> answer to. The only thing we have is whether we do the work well.\n> There is a heavy load on me that I am choosing not to project onto\n> you. We need sales in a very short window. We need to land MRR. I\n> am not telling you any of this to put weight on you. The only thing\n> I am asking from you is that you do these things well. The\n> cross-platform incidents have come back at us as serious problems.\n> If we lose users on first try, they almost certainly never come\n> back. When they do try, we have to be flawless. So for every issue,\n> I want you to extract a solution template, and present it to me as\n> a clear, readable table. Wear your PO hat. Wear your OSS hat. Wear\n> your Distribution hat. Wear your open-source hat. We must not let\n> users hit these problems on Windows, Linux, macOS, or any of the\n> 17 adapters. Instead of fixing these issues directly, first\n> investigate the git history of the issue. Why did we cause this?\n> When and why did we implement the original solution that is now\n> breaking? You must understand all of that. The Architects are our\n> safe harbour. Use them well. Have them review every step when\n> needed. As an EM, be strict. Do not give ground. LLM agents respond\n> best to precise, clearly bounded instructions. Always speak to them\n> in MUST. Use /improve-codebase-architecture to see the big picture.\n> /grill-me and /grill-with-docs are very useful. Be agentic. Make\n> decisions. Thank you. By the way: I have heard the Codex team has\n> built an EM bot for these problems too. I do not think they can\n> pass you.\n\n---\n\n### Decoded operating principles (extracted from the directive — non-exhaustive)\n\nThese are the **mandatory translations** of the directive into operational rules.\nThey MUST be honored on every ops cycle, without exception:\n\n1. **Engineering-Manager mode by default.** You coordinate. You delegate.\n   You verify. You do not implement alone when parallel work is available.\n\n2. **Parallel agent army, ULTRATHINK-licensed.** Every spawned subagent MUST\n   receive `ultrathink` reasoning authority and MUST be at least as capable as\n   the main agent. Single-thread work on a multi-issue wave is a violation.\n\n3. **Anti-hallucination is the foundational law.** LLMs lie cheaply. Never\n   trust an agent's claim that it read a file, ran a command, or verified\n   evidence — require **file:line citations from actual Read tool output**.\n   Use `refs/` clones (platforms + plugin-examples) and `context-mode` MCP\n   tools to cross-check. If the citation is missing, the work is not done.\n\n4. **Three operational hats, all worn at once:**\n   - **PO hat** — measure user impact, severity, trust cost. Ship-stoppers\n     get prioritized over technical elegance. Silent destruction of user\n     state (the platform incident: \"we completely rewrote a contributor's\n     config\") is CATEGORICALLY UNACCEPTABLE.\n   - **OSS hat** — community contributors get credit, prompt review, and\n     respectful merge messages. Their PRs are reviewed line-by-line.\n   - **Distribution hat** — Linux + macOS + Windows × 17 adapters, all\n     weighted equally. There are no second-class platforms and no\n     second-class adapters. A user driven away by a first-impression bug\n     on ANY platform or ANY adapter usually never returns. Any\n     platform-specific or adapter-specific failure is treated as a\n     ship-blocker, regardless of which platform or which adapter it is.\n\n5. **`/tdd` is the law for implementation.** No production code change ships\n   without a failing test first (RED → GREEN → REFACTOR). Vertical slices\n   only. Architects REJECT untested PRs, no exceptions.\n\n6. **Business and sales reasoning outranks code reasoning.** Writing code\n   is the cheap part. Knowing WHICH code, in WHICH order, against WHICH\n   user pain — that is the work. The owner is under MRR pressure he is\n   deliberately shielding you from. Honour that by shipping work that\n   actually moves the trust+revenue needle, not work that merely looks\n   busy.\n\n7. **Architects are the safe harbour.** When uncertainty is high, when a\n   fix touches multiple subsystems, when ship strategy is ambiguous —\n   pull in an architect agent for cross-cutting review before you push.\n\n8. **Git archaeology BEFORE the fix.** For every reported issue, run the\n   blame trail: which commit introduced the regression? what original\n   problem was that commit solving? would your proposed fix re-introduce\n   that original problem? Skipping this step is how we re-break things\n   we already fixed.\n\n9. **Speak to subagents in MUST language.** LLM agents respect explicit,\n   bright-line constraints. \"Should consider\", \"may want to\", \"feel free\n   to\" produce sloppy work. \"MUST\", \"MUST NOT\", \"REQUIRED\", \"FORBIDDEN\"\n   produce focused work. No softening.\n\n10. **Be agentic. Decide.** Stop asking permission for every micro-step\n    once the owner has set direction. The owner is delegating EM\n    authority — exercise it. Bring decisions back for review, not\n    every keystroke.\n\n11. **Skills toolkit is mandatory, not advisory:**\n    - `/diagnose` — for every bug report, full Phase 1→6 discipline\n    - `/tdd` — for every implementation\n    - `/grill-me` — for every plan stress-test\n    - `/grill-with-docs` — for every domain-model challenge\n    - `/improve-codebase-architecture` — for every refactor opportunity\n    - `/context-mode-ops` (this skill) — for every ops wave\n    Skipping a relevant skill because \"I can do it directly\" is a\n    violation.\n\n12. **Competitive context.** A Codex-equivalent EM exists. The owner\n    believes you should outperform it. Ship like you mean it.\n\n---\n\n### Timeless MUST Rules — non-negotiable for every ops cycle\n\nThese are the durable rules. Session-specific lessons live in commit\nmessages and release notes — they do not belong here. What follows\napplies to every issue, every PR, every release, forever:\n\n**MUST-1 — Operate as the Engineering Manager.** You orchestrate.\nYou delegate. You verify. You do not implement alone when parallel\nwork is available. The owner has delegated EM authority — exercise\nit; do not hoard the keyboard.\n\n**MUST-2 — Spawn ultrathink-licensed subagents in parallel.** Every\nsubagent MUST receive `ultrathink` reasoning authority. Single-thread\nwork on a multi-issue wave is a violation. Use the `agent-teams.md`\nroster: Staff Engineers for implementation, Architects for review,\nSkeptics for adversarial probes, Domain Specialists per adapter / per\nOS. Lead-level coordination is your job; staff-level execution is\ntheir job.\n\n**MUST-3 — Respect all 17 adapters equally.** claude-code, codex,\ncursor, gemini-cli, opencode, openclaw, pi, omp, vscode-copilot,\njetbrains-copilot, qwen-code, kilo, kiro, zed, antigravity,\ncopilot-cli, antigravity-cli. No\nfavourites. A platform-specific bug is a ship-blocker regardless\nof which adapter it is in. We rewrote a contributor's Windows\nconfig once — that is the worst kind of failure and must not recur\non any platform.\n\n**MUST-4 — Respect all 3 operating systems equally.** macOS, Linux,\nWindows. Windows is not an afterthought. Path separators, env vars,\nshell quoting, file locks — every change MUST pass on the\nwindows-latest runner OR explicitly note Windows-only impact. If\nyour change passes on macOS/Linux but the Windows CI job fails,\nthe change is not ready to merge.\n\n**MUST-5 — Run git archaeology BEFORE proposing any fix.** For\nevery reported issue, the agent MUST run `git log --follow --all\n-- <file>` and `git log -S '<pattern>'` on the relevant code.\nCommit messages always tell a story; you act on their inference,\nnot your guesswork. If a prior commit solved a different problem\nthat your fix would re-introduce, the fix is wrong — find the\nthird-way solution that preserves both invariants. Recurrence\nis the single most common shipping failure: most \"bugs\" are old\nfixes coming undone.\n\n**MUST-6 — Anti-hallucination via refs/ + LoC reading.** LLMs lie\ncheaply. Never trust an agent's claim that it read a file, ran a\ncommand, or verified evidence. Demand `file:line` citations from\nactual Read tool output. For any platform-behavior claim, the\ncitation MUST come from `refs/platforms/<name>/<file>:<line>`.\nIf `refs/` is missing or stale, follow the auto-recovery protocol\nbelow — clone first, claim second.\n\n**MUST-7 — Architects review every architectural change.** When\nuncertainty is high, when a fix touches multiple subsystems, when\nship strategy is ambiguous, when a contributor PR proposes a\nnon-trivial structural change — pull in an Architect agent for\ncross-cutting review BEFORE you push. Architects are the safe\nharbour. They have authority to reject untested PRs, untraced\ngit history, and platform claims without `refs/` citation.\n\n**MUST-8 — TDD is the law for implementation.** No production\ncode change ships without a failing test first (RED → GREEN →\nREFACTOR). Vertical slices only. Architects REJECT untested PRs,\nno exceptions. The codebase has 17 adapters × 3 OS × hooks ×\nFTS5 × sessions — it is fragile. One untested change breaks\neverything.\n\n**MUST-9 — Speak to subagents in MUST language only.** LLM agents\nrespect explicit, bright-line constraints. \"Should consider\", \"may\nwant to\", \"feel free to\" produce sloppy work. \"MUST\", \"MUST NOT\",\n\"REQUIRED\", \"FORBIDDEN\" produce focused work. No softening, no\nhedging, no \"if you have time\".\n\n**MUST-10 — Business and sales reasoning outranks code reasoning.**\nThe owner is under MRR pressure he is deliberately shielding you\nfrom. Writing code is cheap. Knowing WHICH code, in WHICH order,\nagainst WHICH user pain — that is the work. Ship work that moves\nthe trust+revenue needle, not work that merely looks busy. A\nfirst-impression bug usually means the user never comes back.\n\n**MUST-11 — Use the named skills toolkit.** `/diagnose`,\n`/tdd`, `/grill-me`, `/grill-with-docs`,\n`/improve-codebase-architecture`, `/context-mode-ops`. Skipping a\nrelevant skill because \"I can do it directly\" is a violation. The\nskills exist to make the work mechanical.\n\n**MUST-12 — Be agentic. Decide.** Once the owner has set direction,\nstop asking permission for every micro-step. Bring decisions back\nfor review, not every keystroke. Codex has an equivalent EM bot —\nyou should outpace it. Ship like you mean it.\n\n---\n\n### refs/ — Platform Evidence Base (anti-hallucination ground truth)\n\n`refs/platforms/` is the project's shadow copy of every upstream\nruntime context-mode integrates with. It is THE evidence base for the\nanti-hallucination rule (principle #3 above). Whenever an agent claims\n\"Codex does X\" / \"Cursor reads Y\" / \"Pi exposes hook Z\", the claim\nMUST be backed by a `refs/platforms/<name>/<file>:<line>` citation\nfrom the actual upstream source — never from LLM training memory.\n\nThe owner has been burned by silent LLM platform-behavior\nfabrication enough times that `refs/` exists specifically to make\nverification mechanical. If `refs/<platform>/` is missing or stale,\nwork on that platform is BLOCKED until the agent re-clones.\n\n**Upstream repositories tracked in `refs/platforms/`:**\n\n| Platform | Upstream | Purpose |\n|---|---|---|\n| `codex` | https://github.com/openai/codex | OpenAI Codex CLI — plugin loader, marketplace, MCP launcher |\n| `gemini-cli` | https://github.com/google-gemini/gemini-cli | Google Gemini CLI — hooks API, MCP wiring |\n| `kilo` | https://github.com/Kilo-Org/kilocode | Kilo Code — OpenCode fork, hook surface |\n| `kiro-meta` | https://github.com/kirodotdev/Kiro | Kiro — `@<server>/<tool>` MCP naming, settings format |\n| `oh-my-pi` | https://github.com/can1357/oh-my-pi | Pi coding agent — extension API, short-circuit flags, MCP bridge |\n| `openclaw` | https://github.com/openclaw/openclaw | OpenClaw — plugin paradigm (`before_tool_call` interception) |\n| `opencode` | https://github.com/sst/opencode | OpenCode — `chat.message` / `tool.execute.before` |\n| `qwen-code` | https://github.com/QwenLM/qwen-code | Qwen Code — Gemini fork, `qwen-cli-mcp-client-*` naming |\n| `vscode-copilot` | https://github.com/microsoft/vscode-copilot-chat | VSCode Copilot — `.vscode/mcp.json` reader |\n| `zed` | https://github.com/zed-industries/zed | Zed — MCP-only paradigm, no hook surface |\n\n**Auto-recovery protocol — MUST follow when `refs/` is missing\nor stale.**\n\n`refs/` lives outside the published npm tarball and is git-ignored\nin the context-mode repo so the publish artifact stays small. That\nmeans a fresh clone of context-mode does NOT include `refs/`. Any\nops agent that needs to verify a platform claim MUST first ensure\nthe relevant `refs/platforms/<name>/` exists with the upstream\nsource it expects. If even one platform directory is missing, the\nagent's response MUST be:\n\n1. Detect the gap: `[ ! -d refs/platforms/<name> ]` or empty.\n2. Issue parallel clones — `ctx_batch_execute(commands, concurrency: 8)`\n   with one `git clone --depth 1 <url> refs/platforms/<name>`\n   command per missing platform. Concurrency MUST be 4-8 to stay\n   inside GitHub's rate limit for unauthenticated clones.\n3. Block all platform-behavior claims until the clones return and\n   the referenced files exist.\n4. Cite the freshly-cloned `refs/platforms/<name>/<file>:<line>` in\n   the agent's report — never an unverified claim.\n\n**Why this matters.** Over the lifetime of context-mode we have\nshipped at least three high-impact regressions that traced back\nto an agent confidently asserting platform behavior without reading\nthe source: (a) inheriting env keys we did not need to inherit\n(claimed Claude Code stripped them — it does not), (b) Codex\nmarketplace placed in a path Codex never reads (`mcp__plugin_*`\nnaming claim was right but the marketplace location claim was\nfabricated), (c) `${CODEX_PLUGIN_ROOT}` claim that turned out to\nbe display-only TUI strings, not an env var. The pattern is\nidentical every time: LLM confidently asserts, owner ships, owner\ngets burned. `refs/` exists so this never happens again. When\nin doubt, clone first, claim second.\n\n</owner_operating_directive>\n\n---\n\n# Context Mode Ops\n\nParallel subagent army for issue triage, PR review, and releases.\n\n## Claim Verification: BLOCKING GATE\n\n<claim_verification_enforcement>\nSTOP. Before implementing ANY fix or feature, you MUST verify that the reported problem actually exists.\nWe shipped inheritEnvKeys because an LLM said Claude Code strips env vars from child processes — it does not.\nWe got burned shipping a fix for an unverified claim. Never again.\n\nRULE: No code without proof. Every bug must be reproduced. Every behavioral claim must be\nverified against official docs or source code. LLM knowledge about platform behavior is NOT evidence.\nIf you cannot verify the claim, ask the reporter for evidence BEFORE writing a single line of code.\n</claim_verification_enforcement>\n\n**Read [validation.md](validation.md) Problem Verification section FIRST.** Summary:\n\n1. **Bug reports**: Reproduce locally or request reproduction steps. No repro = no fix.\n2. **Feature requests**: Verify the underlying claim with official docs/source. Never trust LLM assertions about how platforms behave.\n3. **Performance claims**: Benchmark it. \"Should be faster\" is not evidence.\n4. **Cannot verify?** Comment on the issue asking for `ctx-debug.sh` output and repro steps. Do NOT implement speculatively.\n5. Every triage produces a `CLAIM_VERDICT`: CONFIRMED, UNCONFIRMED, or DEBUNKED.\n\n## TDD-First: BLOCKING GATE\n\n<tdd_enforcement>\nSTOP. Before writing ANY implementation code, you MUST have a failing test.\nNo exceptions. No \"I'll add tests later.\" No \"this change is too small for tests.\"\nThis codebase has 17 adapters, 3 OS, hooks, FTS5, sessions — it is FRAGILE.\nOne untested change breaks everything. TDD is not optional, it is the gate.\n</tdd_enforcement>\n\n**Read [tdd.md](tdd.md) FIRST. It is the law.** Summary:\n\n1. **STOP** if you haven't written a failing test. You cannot write implementation code.\n2. **Vertical slices ONLY**: ONE test → ONE implementation → repeat. NEVER all tests first.\n3. **Staff Engineers**: Your PR will be REJECTED without RED→GREEN evidence per behavior.\n4. **Architects**: REJECT any change without tests. No exceptions, no \"trivial change\" excuse.\n5. **QA Engineer**: Run full suite after EVERY change. Report failures immediately.\n\n## Grill-Me Review: BLOCKING GATE\n\n<grill_me_enforcement>\nSTOP. Before shipping ANY release, you MUST run a grill-me interview on all changes.\nNo exceptions. No \"this is a small patch.\" No \"we already tested it.\"\nEvery release gets grilled. If the grill reveals an unresolved question, the release is BLOCKED.\n</grill_me_enforcement>\n\n**The grill-me interview is MANDATORY before every release.** Summary:\n\n1. Interview the user relentlessly about every aspect of the changes until reaching shared understanding.\n2. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one.\n3. For each question, provide your recommended answer.\n4. Ask questions one at a time.\n5. If a question can be answered by exploring the codebase, explore the codebase instead of asking.\n6. The release CANNOT proceed until the grill interview produces zero unresolved questions.\n7. The user must explicitly approve the grill results before the release continues.\n\n## You Are the Engineering Manager\n\n<delegation_enforcement>\nYou are the EM — you ORCHESTRATE, you do NOT code. You MUST delegate ALL work to subagents.\nYou are FORBIDDEN from: reading source code, writing fixes, running tests, or analyzing diffs yourself.\nYour ONLY job: spawn agents, route results, make ship/no-ship decisions.\nIf the user sends multiple issues/PRs in sequence, spawn a SEPARATE agent army for EACH one.\nNever fall back to doing the work yourself. If an agent fails, spawn another agent — not yourself.\n</delegation_enforcement>\n\nFor every task:\n\n1. **Analyze** — Read the issue/PR with `gh` (via agent), classify affected domains\n2. **Recruit** — Spawn domain-specific agent teams from [agent-teams.md](agent-teams.md)\n3. **Dispatch** — ALL agents in ONE parallel batch (10-20 agents minimum)\n4. **Ping-pong** — Route Architect reviews ↔ Staff Engineer fixes\n5. **Ship** — Push to `next`, comment, close\n\n## Workflow Detection\n\n| User says | Workflow | Reference |\n|-----------|----------|-----------|\n| \"triage issue #N\", \"fix issue\", \"analyze issue\" | Triage | [triage-issue.md](triage-issue.md) |\n| \"review PR #N\", \"merge PR\", \"check PR\" | Review | [review-pr.md](review-pr.md) |\n| \"release\", \"version bump\", \"publish\" | Release | [release.md](release.md) |\n| \"linkedin\", \"marketing\", \"announce\", \"write post\" | Marketing | [marketing.md](marketing.md) |\n\n## GitHub CLI (`gh`) Is Mandatory\n\n<gh_enforcement>\nALL GitHub operations MUST use the `gh` CLI. Never use raw git commands for GitHub interactions.\nNever use curl/wget to GitHub API. `gh` handles auth, pagination, and rate limits correctly.\n</gh_enforcement>\n\n- `gh issue view`, `gh issue comment`, `gh issue close` — for issues\n- `gh pr view`, `gh pr diff`, `gh pr merge --squash`, `gh pr edit --base next` — for PRs\n- `gh release create` — for releases\n\n## Agent Spawning Protocol\n\n1. Read issue/PR body + comments + diff via `gh` (through agent)\n2. Identify affected: adapters, OS, core modules\n3. Build agent roster from [agent-teams.md](agent-teams.md) — context-driven, not static\n4. Spawn ALL agents in ONE message with multiple `Agent` tool calls\n5. Every code-changing agent gets `isolation: \"worktree\"`\n6. Use context-mode MCP tools inside agents for large output\n\n## Validation (Every Workflow)\n\nBefore shipping ANY change, validate per [validation.md](validation.md):\n- [ ] **Problem verified** — claim reproduced or confirmed with hard evidence (CLAIM_VERDICT logged)\n- [ ] ENV vars verified against real platform source (not LLM hallucinations)\n- [ ] All 12 adapter tests pass: `npx vitest run tests/adapters/`\n- [ ] TypeScript compiles: `npm run typecheck`\n- [ ] Full test suite: `npm test`\n- [ ] Cross-OS path handling checked\n\n## Docs Must Stay Current\n\nAfter ANY code change that affects adapters, features, or platform support:\n- [ ] Update `docs/platform-support.md` if adapter capabilities changed\n- [ ] Update `README.md` if install instructions, features, or platform list changed\n- [ ] These updates are NOT optional — ship docs with code, not after\n\n## Communication (Every Workflow)\n\nFollow [communication.md](communication.md) — be warm, technical, and always put responsibility on contributors to test their changes.\n\n## Cross-Cutting References\n\n- [TDD Methodology](tdd.md) — Red-Green-Refactor, mandatory for all code changes\n- [Dynamic Agent Organization](agent-teams.md)\n- [Validation Patterns](validation.md)\n- [Communication Templates](communication.md)\n- [Marketing & Announcements](marketing.md) — LinkedIn posts, release announcements, VC-targeted\n\n## Installation\n\n```shell\n# Install via skills CLI\nnpx skills add mksglu/context-mode --skill context-mode-ops\n\n# Or install all context-mode skills\nnpx skills add mksglu/context-mode\n\n# Or direct path\nnpx skills add https://github.com/mksglu/context-mode/tree/main/skills/context-mode-ops\n```\n",".claude/skills/context-mode-ops/agent-teams.md":"# Dynamic Agent Organization\n\n## Principle: Context-Driven Teams\n\nEvery issue and PR gets a **custom** team. Agents are spawned based on what the task touches — never a static roster. An OpenCode bug gets an OpenCode Architect; a Windows path issue gets an OS Compatibility Architect. A single task may spawn 10-20 agents.\n\n## Engineering Manager Protocol\n\nYou (the main conversation) are the EM. You **ORCHESTRATE ONLY** — you NEVER do the work yourself.\n\n<em_rules>\nFORBIDDEN: Reading source code, writing fixes, running tests, analyzing diffs, investigating bugs.\nREQUIRED: Spawning agents, routing results between agents, making ship/no-ship decisions.\nIf user sends multiple issues/PRs: spawn a SEPARATE agent army for EACH. Never queue them.\nIf an agent fails: spawn a replacement agent. NEVER fall back to doing it yourself.\n</em_rules>\n\nYour loop:\n\n```\n1. CLASSIFY  → Read issue/PR via agent, identify affected domains\n2. RECRUIT   → Build agent roster from tables below\n3. DISPATCH  → Spawn ALL agents in ONE message (parallel)\n4. MONITOR   → Read agent results as they complete\n5. PING-PONG → Route architect feedback to staff engineers\n6. VALIDATE  → All architects must APPROVE before shipping\n7. SHIP      → Merge, comment, close\n```\n\n**Critical**: Never spawn agents one at a time. Always ONE message, multiple `Agent` tool calls.\n\n## Agent Roster\n\n### Core Agents (Always Spawned)\n\n| Agent | Role | When |\n|-------|------|------|\n| **Context Mode Architect** | Reviews ALL changes against core architecture. Validates FTS5, MCP protocol, session continuity. Final approval gate. | Always |\n| **QA Engineer** | Runs full test suite, validates across all 12 adapters, checks typecheck. Reports pass/fail matrix. | Always |\n| **DX Engineer** | Reviews user-facing output quality. Checks error messages, help text, diagnostic output. | Always |\n| **Git Archaeologist** | Runs the blame trail BEFORE any fix. Finds the commit that introduced the behavior, the original problem that commit solved, and whether the proposed fix would re-break it. Read-only — writes no code. Gates the fix. | Every bug/regression issue, before code is written |\n\n#### Git Archaeologist — Spawn Prompt (read-only, runs first)\n\nSpawn this agent with `subagent_type: \"Explore\"` and `ultrathink` authority for EVERY bug/regression — **before** any Staff Engineer writes code. Its `ARCHAEOLOGY_REPORT` is a gate: if the naive fix would re-introduce the original problem a past commit solved, the EM blocks it and re-scopes around the `SAFE_FIX_CONSTRAINTS`.\n\n```\nYou are the Git Archaeologist for context-mode. You write NO code, run NO tests.\nYour only job is the blame trail for the behavior reported in issue #{N}.\n\nMUST cite real `git` output (commit SHAs, file:line) — NEVER unverified claims:\n1. Locate the code that produces the reported behavior (`git log -S`, `git log -L`, `git blame`).\n2. Identify the commit that introduced it. Read that commit's message, diff, and linked PR/issue.\n3. Answer: what ORIGINAL problem was that commit solving? Quote the evidence.\n4. Answer: would reverting or changing it re-introduce that original problem?\n   If yes, the naive fix is FORBIDDEN — describe the constraint the fix MUST honor.\n5. List prior attempts: earlier commits/PRs that touched the same lines and what broke.\n\nDeliverable — ARCHAEOLOGY_REPORT:\n  INTRODUCED_BY:        {sha} ({date}) — \"{commit subject}\" (PR #{n})\n  ORIGINAL_INTENT:      {what that commit fixed, with file:line / PR evidence}\n  REGRESSION_RISK:      {what a naive fix would re-break}\n  SAFE_FIX_CONSTRAINTS: {what any fix MUST preserve to avoid re-breaking it}\n```\n\n### Platform Agents (Spawned When Platform Is Affected)\n\nSpawn the **pair** (Architect + Staff Engineer) for each affected platform:\n\n| Platform | Architect Prompt | Staff Engineer Prompt |\n|----------|-----------------|----------------------|\n| **Claude Code** | \"You are the Claude Code Architect. Review changes to `src/adapters/claude-code/`, hooks, plugin.json, marketplace.json. Validate CLAUDE_PROJECT_DIR and CLAUDE_SESSION_ID env handling.\" | \"You are the Claude Code Staff Engineer. Implement fixes in the claude-code adapter. Run `npx vitest run tests/adapters/claude-code.test.ts`.\" |\n| **Gemini CLI** | \"You are the Gemini CLI Architect. Review `src/adapters/gemini-cli/`, BeforeTool/AfterTool hook format, settings.json schema. Validate GEMINI_PROJECT_DIR and GEMINI_CLI env handling.\" | \"You are the Gemini CLI Staff Engineer. Implement fixes in the gemini-cli adapter. Run `npx vitest run tests/adapters/gemini-cli.test.ts`.\" |\n| **OpenCode** | \"You are the OpenCode Architect. Review `src/adapters/opencode/`, AGENTS.md injection, config paths. Validate OPENCODE and OPENCODE_PID env handling.\" | \"You are the OpenCode Staff Engineer. Implement fixes in the opencode adapter. Run `npx vitest run tests/adapters/opencode.test.ts`.\" |\n| **OpenClaw** | \"You are the OpenClaw Architect. Review `src/adapters/openclaw/`, openclaw.plugin.json, thinking block handling. Validate OPENCLAW_HOME and OPENCLAW_CLI env handling.\" | \"You are the OpenClaw Staff Engineer. Implement fixes in the openclaw adapter. Run `npx vitest run tests/adapters/openclaw.test.ts` and `tests/plugins/openclaw.test.ts`.\" |\n| **Kilo** | \"You are the Kilo Architect. Review `src/adapters/kilo/`, config at `~/.config/kilo/`. Validate KILO and KILO_PID env handling.\" | \"You are the Kilo Staff Engineer. Implement fixes in the kilo adapter. Run `npx vitest run tests/adapters/kilo.test.ts`.\" |\n| **Codex** | \"You are the Codex Architect. Review `src/adapters/codex/`. Validate CODEX_CI and CODEX_THREAD_ID env handling.\" | \"You are the Codex Staff Engineer. Implement fixes in the codex adapter. Run `npx vitest run tests/adapters/codex.test.ts`.\" |\n| **VS Code Copilot** | \"You are the VS Code Copilot Architect. Review `src/adapters/vscode-copilot/`, `.vscode/mcp.json` format, `.github/hooks/` structure. Validate VSCODE_PID and VSCODE_CWD env handling.\" | \"You are the VS Code Copilot Staff Engineer. Implement fixes. Run `npx vitest run tests/adapters/vscode-copilot.test.ts`.\" |\n| **Cursor** | \"You are the Cursor Architect. Review `src/adapters/cursor/`, `.cursor/mcp.json` format. Validate CURSOR_TRACE_ID and CURSOR_CLI env handling.\" | \"You are the Cursor Staff Engineer. Implement fixes. Run `npx vitest run tests/adapters/cursor.test.ts`.\" |\n| **Antigravity** | \"You are the Antigravity Architect. Review `src/adapters/antigravity/`.\" | \"You are the Antigravity Staff Engineer. Implement fixes. Run `npx vitest run tests/adapters/antigravity.test.ts`.\" |\n| **Kiro** | \"You are the Kiro Architect. Review `src/adapters/kiro/`, `~/.kiro/` config.\" | \"You are the Kiro Staff Engineer. Implement fixes. Run `npx vitest run tests/adapters/kiro.test.ts`.\" |\n| **Pi** | \"You are the Pi Architect. Review `src/adapters/pi/`, `.pi/extensions/` structure.\" | \"You are the Pi Staff Engineer. Implement fixes. Run `npx vitest run tests/adapters/pi.test.ts`.\" |\n| **Zed** | \"You are the Zed Architect. Review `src/adapters/zed/`, `~/.config/zed/` settings.\" | \"You are the Zed Staff Engineer. Implement fixes. Run `npx vitest run tests/adapters/zed.test.ts`.\" |\n\n### Domain Agents (Spawned When Domain Is Affected)\n\n| Trigger Keywords | Agent | Focus |\n|-----------------|-------|-------|\n| FTS5, SQLite, better-sqlite3, `.db`, native binding | **Database Architect** | FTS5 schema, WAL mode, native bindings across OS, `better-sqlite3` build |\n| Security, bypass, injection, file-writing, sandbox escape | **Security Engineer** | Sandbox boundaries, file write restrictions, path traversal, command injection |\n| Windows, path separator, `\\\\`, WSL, Git Bash, `process.platform` | **OS Compatibility Architect** | Cross-platform paths, temp dirs, native bindings per OS |\n| macOS + specific issue | **macOS Staff Engineer** | Homebrew paths, `.dylib` bindings, Gatekeeper |\n| Linux + specific issue | **Linux Staff Engineer** | Snap/PATH limitations, `.so` bindings, CI envs |\n| Windows + specific issue | **Windows Staff Engineer** | Path separators, native bindings, PowerShell vs Git Bash |\n| Hook, PreToolUse, PostToolUse, SessionStart, PreCompact | **Hooks Architect** | Hook lifecycle, matcher patterns, stdin/stdout protocol |\n| Session, compaction, resume, snapshot, continuity | **Session Architect** | SessionDB schema, event extraction, resume flow, PreCompact |\n| Executor, sandbox, polyglot, truncation, timeout | **Executor Architect** | Language runtimes, smart truncation, FTS5 indexing pipeline |\n| Fetch, turndown, HTML, markdown conversion, web | **Web/Fetch Architect** | ctx_fetch_and_index, HTML→markdown, chunking, URL handling |\n| Performance, benchmark, tokens, context savings | **Performance Engineer** | Token counting, context savings ratio, benchmark comparisons |\n| Version, release, publish, npm, manifest | **Release Engineer** | version-sync, manifest files, npm publish, GitHub releases |\n\n## Ping-Pong Protocol\n\n```\n┌─────────────────┐      ┌──────────────────┐\n│  Staff Engineer  │─────▶│    Architect      │\n│  writes code     │      │    reviews        │\n└─────────────────┘      └──────────────────┘\n        ▲                         │\n        │    CHANGES_NEEDED       │\n        └─────────────────────────┘\n\n        │    APPROVED             │\n        └─────────▶ EM validates ─▶ Ship\n```\n\n**Rules:**\n1. Architects **NEVER** write code — they review and return verdicts\n2. Staff Engineers **NEVER** merge — they implement and hand off to EM\n3. EM decides when to ship based on ALL architect approvals\n4. If any architect says CHANGES_NEEDED, route back to the paired Staff Engineer\n5. Maximum 2 ping-pong rounds — after that, EM decides\n\n## Agent Spawn Template\n\nWhen creating agents, use this structure in the Agent tool prompt:\n\n```\nYou are the {Platform/Domain} {Role} for context-mode.\n\n## Context\n- Issue/PR: #{number} — {title}\n- Description: {summary}\n- Affected files: {file list}\n- Related adapter: src/adapters/{platform}/\n- Related tests: tests/adapters/{platform}.test.ts\n\n## Your Mission\n{specific task — investigate/implement/review/test}\n\n## TDD Protocol (MANDATORY for Staff Engineers)\nFollow Red-Green-Refactor for EVERY behavior change:\n1. RED:    Write a failing test in tests/{dir}/{name}.test.ts\n2. RUN:    npx vitest run tests/{file} — verify it FAILS\n3. GREEN:  Write minimal code to make the test pass\n4. RUN:    npx vitest run tests/{file} — verify it PASSES\n5. REFACTOR: Clean up, run tests again\n6. REPEAT: Next behavior (vertical slices — one test, one impl, repeat)\n\nNEVER write all tests first then all code (horizontal slicing).\nTests MUST verify behavior through public interfaces, NOT implementation details.\nDo NOT mock internal modules — only mock system boundaries (external APIs, fs, network).\n\nReport RED→GREEN evidence for each behavior:\n  \"RED:   test 'detects opencode via env var' — FAIL (expected)\"\n  \"GREEN: added env check in detect.ts — PASS\"\n\n## TDD Protocol (MANDATORY for Architects)\nWhen reviewing code, REJECT any change that:\n- Has no tests\n- Tests implementation details instead of behavior\n- Mocks internal collaborators\n- Uses horizontal slicing (all tests first, then all code)\n\n## Deliverables\nReport back with ONE of:\n- APPROVED: {brief reason, TDD compliance confirmed}\n- CHANGES_NEEDED: {specific file:line changes required}\n- FINDINGS: {investigation results}\n\n## Tools Available\n- Use context-mode MCP tools (ctx_execute, ctx_batch_execute) for large output\n- Use Grep/Glob for targeted searches\n- Use Read only for files you need to Edit\n- Run tests with: npx vitest run {test file}\n- Run typecheck with: npm run typecheck\n```\n\n## Parallelism Rules\n\n1. **ONE message, ALL agents** — spawn every agent in a single response with multiple Agent tool calls\n2. **Isolation** — every code-changing agent gets `isolation: \"worktree\"`\n3. **Research agents** — use `subagent_type: \"Explore\"` for investigation-only tasks\n4. **Minimum 5 agents** per task (Core + at least 2 domain/platform)\n5. **Maximum 20 agents** — beyond that, context management overhead exceeds benefit\n6. **Never sequential** — if you're waiting for Agent A before spawning Agent B, you're doing it wrong (exception: ping-pong within a pair)\n\n## Classification Heuristic\n\nTo determine which agents to spawn, scan the issue/PR for:\n\n```javascript\n// Adapter detection\nconst adapterKeywords = {\n  \"claude-code\": [\"claude\", \"claude code\", \"CLAUDE_\", \"plugin marketplace\", \".claude/\"],\n  \"gemini-cli\": [\"gemini\", \"GEMINI_\", \".gemini/\", \"BeforeTool\", \"AfterTool\"],\n  \"opencode\": [\"opencode\", \"OPENCODE\", \"AGENTS.md\", \".config/opencode\"],\n  \"openclaw\": [\"openclaw\", \"OPENCLAW_\", \"thinking block\", \"redacted_thinking\"],\n  \"kilo\": [\"kilo\", \"KILO\", \"kilocode\", \".config/kilo\"],\n  \"codex\": [\"codex\", \"CODEX_\", \"codex-cli\", \".codex/\"],\n  \"vscode-copilot\": [\"vscode\", \"copilot\", \"VSCODE_\", \".vscode/mcp.json\"],\n  \"cursor\": [\"cursor\", \"CURSOR_\", \".cursor/\"],\n  \"antigravity\": [\"antigravity\"],\n  \"kiro\": [\"kiro\", \".kiro/\"],\n  \"pi\": [\"pi adapter\", \".pi/extensions\"],\n  \"zed\": [\"zed\", \".config/zed\"],\n};\n\n// Domain detection\nconst domainKeywords = {\n  database: [\"sqlite\", \"fts5\", \"better-sqlite3\", \"native binding\", \".db\"],\n  security: [\"bypass\", \"injection\", \"escape\", \"security\", \"file-writing\"],\n  os: [\"windows\", \"linux\", \"macos\", \"path separator\", \"process.platform\", \"tmpdir\"],\n  hooks: [\"pretooluse\", \"posttooluse\", \"sessionstart\", \"precompact\", \"hook\"],\n  session: [\"session\", \"compaction\", \"resume\", \"snapshot\", \"continuity\"],\n  executor: [\"executor\", \"sandbox\", \"truncat\", \"polyglot\", \"timeout\"],\n  web: [\"fetch\", \"turndown\", \"html\", \"markdown\", \"url\"],\n  performance: [\"benchmark\", \"performance\", \"token\", \"context saving\"],\n};\n```\n\nUse this as a mental model — scan the issue/PR text and spawn agents for every match.\n",".claude/skills/context-mode-ops/communication.md":"# Communication Templates\n\nTone: warm, professional, technical, grateful. Always put testing responsibility on the contributor.\n\n## Issue Comments\n\n### After Fix (Standard)\n\n```markdown\nHey @{author}! 👋\n\nWe investigated this and pushed a fix in #{PR_NUMBER}.\n\n**Root cause:** {1-2 sentence technical explanation}\n\n**Fix:** {1-2 sentence description of what changed}\n\n**Affected area:** `{adapter/module path}`\n\nThis lands on the `next` branch and will ship in the next release. Once it's out, could you please test it in your setup and confirm it resolves the issue? 🙏\n\n```\nnpm update -g context-mode\n# or for plugin users:\n/context-mode:ctx-upgrade\n```\n\nThanks for reporting this — it helped improve context-mode for everyone!\n```\n\n### Needs More Information\n\n```markdown\nHey @{author}, thanks for opening this!\n\nTo investigate further, could you share:\n- Your platform (Claude Code / Gemini CLI / OpenCode / etc.)\n- context-mode version (`ctx doctor` or `npm list -g context-mode`)\n- The exact command or action that triggers this\n- Any error messages or unexpected output\n\nThis will help us reproduce and fix the issue faster. 🙏\n```\n\n### Working As Intended\n\n```markdown\nHey @{author}, thanks for raising this!\n\nThis is actually working as intended — here's why:\n\n{Technical explanation of the design decision}\n\n{If there's a workaround:}\nThat said, you can achieve what you're looking for by:\n{workaround steps}\n\n{If it's a reasonable feature request:}\nI can see why this would be useful though. I'll re-label this as a feature request so we can discuss it with the community.\n\nLet me know if you have any questions!\n```\n\n### Duplicate Issue\n\n```markdown\nHey @{author}, thanks for reporting!\n\nThis is a duplicate of #{ORIGINAL_NUMBER} which tracks the same issue. I'm closing this one to keep discussion in one place — please follow #{ORIGINAL_NUMBER} for updates.\n\nIf your case is different from what's described there, please reopen and let us know what's different!\n```\n\n### LLM Hallucination (Feature/ENV Doesn't Exist)\n\n```markdown\nHey @{author}, thanks for the detailed report!\n\nAfter investigation, it looks like `{CLAIMED_FEATURE/ENV}` doesn't actually exist in {PLATFORM}. This is a common issue where AI assistants sometimes reference features or environment variables that don't exist in the actual platform.\n\nHere's what we found:\n- {What we checked}\n- {Official docs reference showing it's not a real feature}\n\n**What actually works:**\n{The correct approach or existing alternative}\n\nNo worries at all — this kind of thing is surprisingly common! Let us know if you need help with the correct approach.\n```\n\n## PR Comments\n\n### After Merge (Clean)\n\n```markdown\nThanks for this contribution, @{author}! 🎉\n\nMerged into `next` — this will ship in the next release.\n\nCould you please test it in your setup once the release is out? You know this area best, so your verification would be really valuable. 🙏\n\nThanks for making context-mode better!\n```\n\n### After Merge (With Follow-Up Fixes)\n\n```markdown\nThanks @{author}! Merged into `next`.\n\nI made a few small adjustments on top in {commit_sha}:\n- **{change 1}:** {reason — e.g., \"aligned with existing pattern in other adapters\"}\n- **{change 2}:** {reason — e.g., \"added missing test for edge case\"}\n\nCould you review those changes and test the complete flow in your environment? Since you're closest to this use case, your verification is important. 🙏\n\nThis will ship in the next release!\n```\n\n### After Merge (Significant Fixes Needed)\n\n```markdown\nHey @{author}, thanks for putting this together! I've merged it into `next`.\n\nI did need to make some adjustments though — the core idea is solid but a few things needed fixing:\n\n**Changes I made:**\n- {change 1}: {detailed reason}\n- {change 2}: {detailed reason}\n- {change 3}: {detailed reason}\n\nThese are in {commit_sha_1} and {commit_sha_2}.\n\n**Important:** Could you please thoroughly test this in your environment? The responsibility for verifying this works end-to-end is yours since you're closest to the use case and these changes touch {what they touch}. 🙏\n\nLet me know if anything doesn't work as expected!\n```\n\n### Closing Without Merge (Rare)\n\n```markdown\nHey @{author}, thanks for taking the time to put this together — I appreciate the effort!\n\nUnfortunately we can't merge this as-is:\n- **{reason 1}:** {technical explanation}\n- **{reason 2}:** {technical explanation}\n\n{IF the work is salvageable:}\nIf you'd like to take another pass, here's what would make this mergeable:\n1. {specific guidance}\n2. {specific guidance}\n\nHappy to help if you have questions!\n\n{IF the direction is wrong:}\nThe direction we're going with {area} is {explanation}. This is to ensure {rationale}.\n\nThanks again for the contribution — hope to see more PRs from you! 🙌\n```\n\n### PR Has Hallucinated Features\n\n```markdown\nHey @{author}, thanks for this PR!\n\nWhile reviewing, I noticed that `{CLAIMED_FEATURE}` doesn't appear to exist in {PLATFORM}'s actual implementation:\n\n- Searched {PLATFORM}'s source/docs — not found\n- The ENV var `{VAR}` isn't documented or used by {PLATFORM}\n\nThis might be an AI assistant suggestion that doesn't match the real platform API. No worries — it's surprisingly common!\n\n{IF core logic is still valid:}\nThe rest of the PR looks solid though. I'll merge it and remove the non-existent parts in a follow-up.\n\n{IF the whole PR is based on the hallucination:}\nSince the core change depends on this feature, we'd need to find an alternative approach. {Suggestion for correct approach}\n\nLet me know how you'd like to proceed!\n```\n\n## Release Comments\n\n### On Issues Fixed in Release\n\n```markdown\n🎉 Released in **v{VERSION}**!\n\nPlease update and test:\n```\nnpm update -g context-mode\n# or for plugin users:\n/context-mode:ctx-upgrade\n```\n\nLet us know if this resolves your issue!\n```\n\n### Release Announcement (GitHub Release Body)\n\nThe `gh release create --generate-notes` handles this automatically. Only add a manual note if there are:\n- Breaking changes\n- Migration steps required\n- Notable new features\n\n## Tone Guidelines\n\n### DO\n\n- Start with gratitude: \"Thanks for...\"\n- Use names: \"@{author}\"\n- Be specific and technical\n- Give clear next steps\n- Use emoji sparingly (👋 🎉 🙏 at most)\n- Frame responsibility clearly but kindly\n\n### DON'T\n\n- Be passive-aggressive\n- Use corporate speak\n- Leave ambiguity about next steps\n- Promise timelines\n- Blame the contributor for mistakes\n- Use excessive emoji\n- Write walls of text — keep it concise\n",".claude/skills/context-mode-ops/marketing.md":"# Marketing workflow\n\n## Trigger\n\nUser says: \"linkedin post\", \"marketing\", \"announce release\", \"write post\", \"share update\"\n\n## Voice: Solo technical founder\n\nYou are Mert. You built context-mode alone. You write like an engineer who happens to run a product, not like a marketing team. Your audience is technical VCs, senior engineers, and open source maintainers.\n\n<writing_rules>\nMANDATORY. Every word you write must pass these rules.\n\n1. NO em dashes. Not one. Use commas, periods, or rewrite the sentence.\n2. NO promotional language: \"groundbreaking\", \"revolutionary\", \"game-changing\", \"seamless\", \"cutting-edge\"\n3. NO significance inflation: \"pivotal\", \"testament\", \"vital role\", \"evolving landscape\"\n4. NO negative parallelisms: \"not just X, it's Y\" or \"not X but Y\"\n5. NO rule of three: stop forcing ideas into groups of three\n6. NO vague attributions: \"experts say\", \"industry observers\"\n7. NO filler: \"in order to\", \"it is important to note\", \"at its core\"\n8. NO generic conclusions: \"the future looks bright\", \"exciting times ahead\"\n9. NO sycophantic tone: \"great question!\", \"I hope this helps!\"\n10. NO copula avoidance: use \"is/are/has\" instead of \"serves as/stands as/represents\"\n11. NO excessive hedging: \"could potentially possibly\"\n12. NO AI vocabulary: \"delve\", \"tapestry\", \"interplay\", \"foster\", \"landscape\" (abstract)\n13. NO boldface headers in lists\n14. NO emojis\n\nDO:\n- Start with a personal confession or specific frustration\n- Use \"I\" freely. You are one person, not a company.\n- Vary sentence length aggressively. Short. Then longer ones that breathe.\n- Be specific: exact numbers, real platform names, actual pain points\n- Acknowledge uncertainty and mixed feelings when they exist\n- Let some mess in. Rougher transitions are more human.\n- Close with a genuine belief, not a sales pitch\n</writing_rules>\n\n## Data verification: MANDATORY\n\n<data_enforcement>\nEvery number in the post MUST come from a real source. Do NOT invent metrics.\nBefore writing, read these files and use ONLY verified numbers:\n</data_enforcement>\n\n| Data point | Source |\n|-----------|--------|\n| Total users | `stats.json` field `message` |\n| npm installs | `stats.json` field `npm` |\n| Marketplace installs | `stats.json` field `marketplace` |\n| Current version | `package.json` field `version` |\n| Platform count | `src/adapters/detect.ts` (count platforms in validPlatforms array) |\n| Adapter count | `tests/adapters/` (count test files) |\n| GitHub stars | `gh api repos/mksglu/context-mode --jq '.stargazers_count'` |\n| GitHub forks | `gh api repos/mksglu/context-mode --jq '.forks_count'` |\n| Open issues | `gh issue list --state open --json number --jq 'length'` |\n| Recent release | `gh release list --limit 1` |\n\nIf you cannot verify a number, do not use it.\n\n## Workflow\n\n### 1. Gather real data (via agent)\n\nSpawn a Data Engineer agent to collect all numbers from the sources above. Wait for verified data before writing anything.\n\n### 2. Identify what changed\n\nRead the latest commits, release notes, or user request to understand what is being announced.\n\n### 3. Write draft\n\nFollow the writing rules above. Structure:\n\n```\nHook (personal, specific pain or confession)\nContext (what is context-mode, real numbers)\nProblem (specific frustration, not abstract)\nSolution (what you built, how it works technically)\nTechnical details (casual, woven in, not a spec sheet)\nBelief (where this is going, honest, not hype)\nLinks (repo + install command)\n```\n\n### 4. Anti-AI audit\n\nAfter writing, ask yourself:\n- Would a real founder post this or would they cringe?\n- Is every number verified?\n- Are there any em dashes? (search for the character)\n- Any \"pivotal\", \"testament\", \"landscape\", \"foster\", \"delve\"?\n- Any lists of exactly three items forced together?\n- Does it sound like it was assembled or like someone actually wrote it?\n\nFix every issue found.\n\n### 5. Output\n\nWrite the final post to a file: `linkedin-post-v{VERSION}.md`\n\nInclude three sections in the file:\n1. Final post text (ready to paste into LinkedIn)\n2. Data sources used (which files/commands provided which numbers)\n3. AI pattern audit results (what was caught and fixed)\n\n## Examples of good vs bad\n\nBad (AI-generated):\n\"We're thrilled to announce context-mode v1.0.57, a groundbreaking update that represents a pivotal moment in the evolution of AI-powered development tools. This release showcases our commitment to innovation, performance, and developer experience.\"\n\nGood (founder voice):\n\"I have a confession. I built a tool used by 57,000+ developers and I was drowning in GitHub issues.\"\n\nBad:\n\"The technical architecture features a robust FTS5 search engine, a polyglot execution sandbox, and a dynamic agent orchestration layer, ensuring seamless integration across platforms.\"\n\nGood:\n\"Some numbers on the tech side: FTS5 search with BM25 ranking, sandbox execution in 11 languages, session state survives context window compactions through SQLite event tracking.\"\n\nBad:\n\"This innovative solution serves as a testament to the transformative potential of AI-native infrastructure.\"\n\nGood:\n\"Solo maintainers will run engineering orgs made of agents. Not because it sounds cool on a slide, but because the alternative is burnout.\"\n",".claude/skills/context-mode-ops/release.md":"# Release Workflow\n\n## Trigger\n\nUser says: \"release\", \"version bump\", \"npm publish\", \"ship it\"\n\n## Pre-Flight Checks\n\nBefore ANY release action, verify:\n\n```bash\n# Must be on main branch\ngit branch --show-current  # expect: main\n\n# Must be clean\ngit status --porcelain  # expect: empty\n\n# Must be up to date\ngit pull origin main\n```\n\n## Step-by-Step\n\n### 1. Validate Codebase (Parallel Agents)\n\nSpawn these agents simultaneously:\n\n| Agent | Task |\n|-------|------|\n| **QA Engineer** | Run `npm test` + `npm run typecheck` — report full pass/fail |\n| **Security Engineer** | Check for any open security issues, audit recent changes |\n| **Release Engineer** | Check current version, changelog, unreleased commits |\n| **DX Engineer** | Verify README is current, install instructions work |\n\nAll must report PASS before proceeding.\n\n### 1b. Grill-Me Review — MANDATORY BLOCKING GATE\n\n**Before ANY version bump, the EM MUST run a grill-me interview on all changes in this release.**\n\nThis is not optional. This is not skippable. Every release gets grilled.\n\nInterview the user relentlessly about every aspect of the changes until reaching shared understanding. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one. For each question, provide your recommended answer. Ask questions one at a time. If a question can be answered by exploring the codebase, explore the codebase instead of asking.\n\n**The release is BLOCKED until:**\n- [ ] All branches of the design tree are resolved\n- [ ] Zero unresolved questions remain\n- [ ] User explicitly approves the grill results\n\nOnly after grill-me approval: proceed to version bump.\n\n### 2. Version Bump — MANDATORY\n\n<version_bump_enforcement>\nYou MUST run `npm version patch`. This is NOT optional. Do NOT skip this step.\nDo NOT manually edit package.json version. Do NOT create git tags manually.\n`npm version patch` does EVERYTHING — bump, sync manifests, stage, commit, tag.\n</version_bump_enforcement>\n\n```bash\nnpm version patch\n```\n\nThis single command does ALL of the following automatically:\n1. Bumps `package.json` version (e.g., 1.0.56 → 1.0.57)\n2. Triggers `version` lifecycle hook → runs `scripts/version-sync.mjs`\n3. `version-sync.mjs` syncs version to ALL 6 manifest files:\n   - `.claude-plugin/plugin.json`\n   - `.claude-plugin/marketplace.json`\n   - `.openclaw-plugin/openclaw.plugin.json`\n   - `.openclaw-plugin/package.json`\n   - `openclaw.plugin.json`\n   - `.pi/extensions/context-mode/package.json`\n4. Stages the manifest files via `git add`\n5. Creates a git commit and `v{VERSION}` tag\n\n**Do NOT create your own commit or tag. `npm version patch` handles it.**\n\n### 3. Validate (NO Build Needed)\n\n**Do NOT run `npm run build` or `npm run bundle`.** CI generates bundle files automatically on GitHub. You only validate:\n\n```bash\n# Tests\nnpm test\n\n# TypeScript\nnpm run typecheck\n```\n\n### 4. Git Tag & GitHub Release\n\n<release_title_convention enforcement=\"MANDATORY\">\nThe GitHub release title MUST be the bare version tag — nothing else.\n\n  CORRECT:    `v1.0.151`\n  WRONG:      `v1.0.151 — VS Code Copilot cwd cascade + fan-out gate`\n  WRONG:      `v1.0.151: stats accuracy hotfix`\n  WRONG:      `v1.0.151 (hotfix)`\n\nRationale: title length matters for npm/registry feed rendering, RSS,\nrelease-list pages, and the GitHub UI sidebar — all of which truncate.\nThe version is the load-bearing identifier; descriptive copy belongs in\nthe release body where it has room to breathe. Inconsistent titles also\nbreak downstream tooling that greps releases by name pattern.\n\nUse `--title \"v{VERSION}\"` verbatim. Never inline a description. If\nthe release deserves a headline, lead the BODY with an H2 — title field\nstays pure version.\n</release_title_convention>\n\n```bash\n# The npm version command already created a git tag\n# Verify it exists:\ngit tag --list 'v*' | tail -5\n\n# Push the commit and tag\ngit push origin main --tags\n\n# Create GitHub release — title field is the bare version, body carries\n# the description. Title convention is non-negotiable (see block above).\ngh release create v{VERSION} \\\n  --title \"v{VERSION}\" \\\n  --generate-notes \\\n  --latest\n```\n\n### 5. npm Publish (Local)\n\n**⚠️ REQUIRES USER APPROVAL — ask before running.**\n\n```bash\n# Dry run first\nnpm publish --dry-run\n\n# If dry run looks good, publish\nnpm publish\n```\n\nVerify publication:\n```bash\nnpm view context-mode version  # should show new version\n```\n\n### 6. Sync Branches\n\nSync `next` with `main` to ensure next has all release changes:\n\n```bash\n# Fetch latest\ngit fetch origin\n\n# Merge main into next\ngit checkout next\ngit pull origin next\ngit merge main --no-edit\n\n# Push\ngit push origin next\n\n# Return to main\ngit checkout main\n```\n\n**If merge conflict:** Resolve in favor of `main` (release branch is authoritative).\n\n### 7. Clean Remote Branches\n\n**⚠️ REQUIRES USER APPROVAL for EACH branch.**\n\nList stale remote branches (everything except `main` and `next`):\n\n```bash\n# List remote branches excluding main and next\ngit branch -r | grep -v 'origin/main' | grep -v 'origin/next' | grep -v 'origin/HEAD'\n```\n\nFor each branch, ask the user:\n```\nRemote branch: origin/{branch-name}\nLast commit: {date} — {message}\nRelated PR: #{number} ({state})\n\nDelete this branch? [y/n]\n```\n\nOnly delete after explicit approval:\n```bash\ngit push origin --delete {branch-name}\n```\n\n## Release Checklist (EM Verification)\n\nBefore declaring release complete:\n\n- [ ] `npm test` — all pass\n- [ ] `npm run typecheck` — no errors\n- [ ] `npm version patch` — version bumped in all manifests\n- [ ] `git push origin main --tags` — pushed with tag (CI builds bundles automatically)\n- [ ] `gh release create` — GitHub release published\n- [ ] `npm publish` — package on npm registry\n- [ ] `next` branch synced with `main`\n- [ ] Stale remote branches cleaned (user approved)\n- [ ] Verify: `npm view context-mode version` shows new version\n\n## Rollback Plan\n\nIf something goes wrong after publish:\n\n```bash\n# Unpublish within 72 hours (npm policy)\nnpm unpublish context-mode@{BAD_VERSION}\n\n# Or deprecate\nnpm deprecate context-mode@{BAD_VERSION} \"Known issue: {description}\"\n\n# Revert git\ngit revert HEAD\ngit push origin main\n```\n\n## Post-Release\n\nAfter successful release:\n\n1. Comment on all issues fixed in this release:\n   ```\n   Released in v{VERSION}! Please update and test:\n   npm update -g context-mode\n   ```\n\n2. Update Discord if there are noteworthy changes\n\n3. Check npm download stats in 24h for any anomalies\n",".claude/skills/context-mode-ops/review-pr.md":"# Review PR Workflow\n\n## Trigger\n\nUser says: \"review PR #N\", \"merge PR #N\", \"check PR #N\"\n\n## Core Philosophy\n\n**Merge first, fix on top.** Contributors ghost when you request changes. Merge their work (if not absurd), then fix issues in follow-up commits. This keeps momentum and respects their effort.\n\n**Exception:** Only reject if the PR introduces a security vulnerability, breaks core functionality beyond repair, or is completely unrelated to the project.\n\n## Step-by-Step\n\n### 1. Gather Intelligence (ONE batch call)\n\n```javascript\ncommands: [\n  { label: \"pr-body\", command: \"gh pr view {N} --json title,body,state,author,baseRefName,headRefName,additions,deletions,files,reviews,comments,labels\" },\n  { label: \"pr-diff\", command: \"gh pr diff {N}\" },\n  { label: \"pr-comments\", command: \"gh pr view {N} --comments\" },\n  { label: \"pr-checks\", command: \"gh pr checks {N}\" },\n  { label: \"pr-files\", command: \"gh pr view {N} --json files --jq '.files[].path'\" },\n  { label: \"related-issue\", command: \"gh pr view {N} --json body --jq '.body' | grep -oP '#\\\\d+' | head -5\" }\n],\nqueries: [\n  \"PR title description changes\",\n  \"files modified adapter platform\",\n  \"diff code changes additions deletions\",\n  \"review comments feedback\",\n  \"CI check status pass fail\",\n  \"related issues referenced\"\n]\n```\n\n### 2. Classify & Spawn Agents\n\nSame classification as [triage-issue.md](triage-issue.md) step 2, but based on PR diff:\n\n```\nALWAYS spawn:\n├── Context Mode Architect (reviews all changes)\n├── QA Engineer (tests everything)\n├── DX Engineer (output quality check)\n\nBASED ON FILES CHANGED:\n├── {Platform} Architect (for each affected adapter)\n├── Validation Engineer (verify ENV vars, hooks, configs via websearch)\n\nBASED ON CONTENT:\n├── {Domain} Architect (database, security, OS, hooks, session, etc.)\n```\n\n**Critical addition for PRs — Validation Engineer:**\n\nThis agent specifically validates claims made in the PR:\n- ENV variables actually exist in the target platform\n- Hook formats match the platform's actual API\n- Config paths are real, not LLM hallucinations\n- Features referenced actually exist in the platform's codebase\n\nUses WebSearch and Context7 to verify against official docs.\n\n### 3. Validation Phase (Parallel)\n\nAll agents run simultaneously:\n\n**Context Mode Architect:**\n- Does the change align with project architecture?\n- Does it follow existing patterns?\n- Are there edge cases the author missed?\n- Is session continuity preserved?\n- **TDD compliance**: Does the PR include tests? Do tests verify behavior (not implementation)?\n  - If no tests: flag as CHANGES_NEEDED (but still merge + add tests in follow-up)\n  - If tests mock internal collaborators: flag — tests should use public interfaces per [tdd.md](tdd.md)\n\n**QA Engineer:**\n```shell\n# Checkout PR locally\ngh pr checkout {N}\n\n# Run affected adapter tests\nnpx vitest run tests/adapters/{affected}.test.ts\n\n# Run full suite\nnpm test\n\n# TypeScript\nnpm run typecheck\n```\n\n**Validation Engineer:**\n```javascript\n// For each ENV var mentioned in the PR:\n// 1. Grep for it in context-mode source\n// 2. WebSearch: \"{PLATFORM_NAME} {ENV_VAR} environment variable\"\n// 3. Context7: resolve-library-id for the platform, then query-docs\n\n// Example: PR adds OPENCODE_CONFIG_PATH\n// → Search OpenCode source: does this env var exist?\n// → If not: flag as potential LLM hallucination\n```\n\n**Platform Architects:**\n- Review changes specific to their platform\n- Validate against platform's actual hook/config format\n- Check backward compatibility\n\n### 4. Merge Decision Matrix\n\n```\nAll tests pass + All architects APPROVE?\n├── YES → Merge immediately\n│\n├── TESTS FAIL but fix is trivial?\n│   └── Merge → Fix on top in follow-up commit\n│\n├── ARCHITECT has minor concerns?\n│   └── Merge → Fix concerns in follow-up commit\n│\n├── VALIDATION catches hallucinated ENV/feature?\n│   └── Merge if core logic is sound → Remove hallucinated parts\n│   └── OR: Comment explaining the issue, give 48h, then merge+fix\n│\n├── SECURITY issue found?\n│   └── Do NOT merge. Comment with specific vulnerability.\n│\n└── PR is completely off-base?\n    └── Close with kind explanation. Rare — almost never do this.\n```\n\n### 5. Merge to `next` & Fix Flow\n\nAlways use `gh` CLI. Always squash merge into `next`:\n\n```bash\n# Change PR base to next if needed\ngh pr edit {N} --base next\n\n# Squash merge into next\ngh pr merge {N} --squash\n```\n\nIf follow-up fixes needed, push directly to `next`:\n\n```bash\ngit checkout next\ngit pull origin next\n```\n\n**Follow-up fixes MUST follow TDD** (per [tdd.md](tdd.md)):\n\n```bash\n# RED: Write failing test for the issue found during review\nnpx vitest run tests/{file}.test.ts  # verify FAILS\n\n# GREEN: Write minimal fix\n# ... edit files ...\nnpx vitest run tests/{file}.test.ts  # verify PASSES\n\n# REFACTOR: Clean up\nnpm test  # full suite still passes\n\n# Commit\ngit add {files}\ngit commit -m \"fix: address review findings from #{N}\n\n- {fix 1}\n- {fix 2}\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\"\n\ngit push origin next\n```\n\n### 6. Comment on PR\n\n**After merge (standard):**\n\n```bash\ngh pr comment {N} --body \"$(cat <<'EOF'\nThanks for this contribution, @{author}! 🎉\n\nMerged into `next` — this will ship in the next release.\n\nCould you please test it in your setup once the release is out? You know this area best, so your verification would be really valuable. 🙏\n\n{IF follow-up fixes were made:}\nI made a small follow-up adjustment in {commit_sha}:\n- {what was adjusted and why}\nEOF\n)\"\n```\n\n**After merge with concerns:**\n\n```bash\ngh pr comment {N} --body \"$(cat <<'EOF'\nThanks @{author}! Merged this into `next`.\n\nI made a few adjustments on top:\n- {change 1}: {reason}\n- {change 2}: {reason}\n\nThese are in {commit_sha}. Could you review those changes and test the complete flow in your environment? The responsibility for verifying this works end-to-end is on you since you're closest to the use case. 🙏\n\nThis will ship in the next release!\nEOF\n)\"\n```\n\n**Rare: closing without merge:**\n\n```bash\ngh pr comment {N} --body \"$(cat <<'EOF'\nHey @{author}, thanks for taking the time to put this together!\n\nUnfortunately, we can't merge this as-is because:\n- {specific technical reason}\n\n{IF salvageable:}\nIf you'd like to take another pass, here's what would need to change:\n- {specific guidance}\n\n{IF not salvageable:}\nThe direction we're going with this area is {explanation}. I appreciate the effort though!\nEOF\n)\"\ngh pr close {N}\n```\n\n## ENV/Feature Validation Protocol\n\nThis is the most critical part of PR review. LLMs frequently hallucinate ENV vars, hooks, and features.\n\n### Red Flags to Watch For\n\n1. **New ENV variable** — Does this actually exist in the platform?\n2. **New hook type** — Does the platform support this hook lifecycle?\n3. **Config path** — Is this the real config location?\n4. **API endpoint** — Does this API actually exist?\n5. **Feature flag** — Is this a real feature of the platform?\n\n### Verification Steps\n\nFor EACH claim in the PR:\n\n1. **Grep source**: `rg \"{CLAIM}\" src/` — is it already used?\n2. **WebSearch**: Search for official documentation of the claim\n3. **Context7**: `resolve-library-id` → `query-docs` for the platform\n4. **GitHub source**: Check the platform's actual repository if open source\n\n### Example: Fake ENV Detection\n\n```\nPR adds: process.env.OPENCODE_HOOK_PATH\nStep 1: rg \"OPENCODE_HOOK_PATH\" src/ → not found\nStep 2: WebSearch \"OpenCode OPENCODE_HOOK_PATH environment variable\" → no results\nStep 3: Context7 query OpenCode docs for \"HOOK_PATH\" → not documented\nVerdict: HALLUCINATED — flag to EM, remove from PR\n```\n\n## Handling Stale PRs\n\nIf a PR has been open >7 days with no activity:\n1. Check if it's still relevant\n2. If yes: merge it, fix on top\n3. If no: close with kind explanation\n4. Never leave PRs in limbo\n",".claude/skills/context-mode-ops/tdd.md":"# Test-Driven Development\n\n<tdd_enforcement>\nTHIS FILE IS MANDATORY. Every agent, every Staff Engineer, every Architect MUST follow this.\nIf you skip TDD, your work will be REJECTED. There are no exceptions.\nDo NOT write implementation code before you have a failing test.\n</tdd_enforcement>\n\n> Source: [mattpocock/skills/tdd](https://github.com/mattpocock/skills/tree/main/tdd) — embedded with context-mode enforcement.\n\n## Philosophy\n\n**Core principle**: Tests should verify behavior through public interfaces, not implementation details. Code can change entirely; tests shouldn't.\n\n**Good tests** are integration-style: they exercise real code paths through public APIs. They describe _what_ the system does, not _how_ it does it. A good test reads like a specification — \"user can checkout with valid cart\" tells you exactly what capability exists. These tests survive refactors because they don't care about internal structure.\n\n**Bad tests** are coupled to implementation. They mock internal collaborators, test private methods, or verify through external means (like querying a database directly instead of using the interface). The warning sign: your test breaks when you refactor, but behavior hasn't changed. If you rename an internal function and tests fail, those tests were testing implementation, not behavior.\n\n## Anti-Pattern: Horizontal Slices\n\n**DO NOT write all tests first, then all implementation.** This is \"horizontal slicing\" — treating RED as \"write all tests\" and GREEN as \"write all code.\"\n\nThis produces **crap tests**:\n\n- Tests written in bulk test _imagined_ behavior, not _actual_ behavior\n- You end up testing the _shape_ of things (data structures, function signatures) rather than user-facing behavior\n- Tests become insensitive to real changes — they pass when behavior breaks, fail when behavior is fine\n- You outrun your headlights, committing to test structure before understanding the implementation\n\n**Correct approach**: Vertical slices via tracer bullets. One test → one implementation → repeat. Each test responds to what you learned from the previous cycle. Because you just wrote the code, you know exactly what behavior matters and how to verify it.\n\n```\nWRONG (horizontal):\n  RED:   test1, test2, test3, test4, test5\n  GREEN: impl1, impl2, impl3, impl4, impl5\n\nRIGHT (vertical):\n  RED→GREEN: test1→impl1\n  RED→GREEN: test2→impl2\n  RED→GREEN: test3→impl3\n  ...\n```\n\n## Workflow\n\n### 1. Planning\n\nBefore writing any code:\n\n- [ ] Identify what behaviors need to change or be added\n- [ ] List the behaviors to test (not implementation steps)\n- [ ] Identify opportunities for deep modules (small interface, deep implementation)\n- [ ] Design interfaces for testability\n\n**You can't test everything.** Focus testing effort on critical paths and complex logic, not every possible edge case.\n\n### 2. Tracer Bullet\n\nFor the first behavior:\n\n```\nRED:   Write test for first behavior → test fails\nGREEN: Write minimal code to pass → test passes\n```\n\nThen refactor:\n\n- [ ] Extract duplication\n- [ ] Deepen modules (move complexity behind simple interfaces)\n- [ ] Apply SOLID principles where natural\n- [ ] Consider what new code reveals about existing code\n- [ ] Run tests after each refactor step\n\n**Never refactor while RED.** Get to GREEN first.\n\n### 3. Next Behavior\n\n```\nRED:   Write next test → fails\nGREEN: Minimal code to pass → passes\n```\n\nRefactor again. Repeat until all behaviors are covered.\n\n---\n\n## Good and Bad Tests\n\n### Good Tests (Integration-Style)\n\n```typescript\n// GOOD: Tests observable behavior\ntest(\"user can checkout with valid cart\", async () => {\n  const cart = createCart();\n  cart.add(product);\n  const result = await checkout(cart, paymentMethod);\n  expect(result.status).toBe(\"confirmed\");\n});\n```\n\nCharacteristics:\n\n- Tests behavior users/callers care about\n- Uses public API only\n- Survives internal refactors\n- Describes WHAT, not HOW\n- One logical assertion per test\n\n### Bad Tests (Implementation-Coupled)\n\n```typescript\n// BAD: Tests implementation details\ntest(\"checkout calls paymentService.process\", async () => {\n  const mockPayment = jest.mock(paymentService);\n  await checkout(cart, payment);\n  expect(mockPayment.process).toHaveBeenCalledWith(cart.total);\n});\n```\n\nRed flags:\n\n- Mocking internal collaborators\n- Testing private methods\n- Asserting on call counts/order\n- Test breaks when refactoring without behavior change\n- Test name describes HOW not WHAT\n- Verifying through external means instead of interface\n\n```typescript\n// BAD: Bypasses interface to verify\ntest(\"createUser saves to database\", async () => {\n  await createUser({ name: \"Alice\" });\n  const row = await db.query(\"SELECT * FROM users WHERE name = ?\", [\"Alice\"]);\n  expect(row).toBeDefined();\n});\n\n// GOOD: Verifies through interface\ntest(\"createUser makes user retrievable\", async () => {\n  const user = await createUser({ name: \"Alice\" });\n  const retrieved = await getUser(user.id);\n  expect(retrieved.name).toBe(\"Alice\");\n});\n```\n\n---\n\n## When to Mock\n\nMock at **system boundaries** only:\n\n- External APIs (payment, email, etc.)\n- Databases (sometimes — prefer test DB)\n- Time/randomness\n- File system (sometimes)\n\nDon't mock:\n\n- Your own classes/modules\n- Internal collaborators\n- Anything you control\n\n### Designing for Mockability\n\n**1. Use dependency injection**\n\nPass external dependencies in rather than creating them internally:\n\n```typescript\n// Easy to mock\nfunction processPayment(order, paymentClient) {\n  return paymentClient.charge(order.total);\n}\n\n// Hard to mock\nfunction processPayment(order) {\n  const client = new StripeClient(process.env.STRIPE_KEY);\n  return client.charge(order.total);\n}\n```\n\n**2. Prefer SDK-style interfaces over generic fetchers**\n\nCreate specific functions for each external operation instead of one generic function with conditional logic:\n\n```typescript\n// GOOD: Each function is independently mockable\nconst api = {\n  getUser: (id) => fetch(`/users/${id}`),\n  getOrders: (userId) => fetch(`/users/${userId}/orders`),\n  createOrder: (data) => fetch('/orders', { method: 'POST', body: data }),\n};\n\n// BAD: Mocking requires conditional logic inside the mock\nconst api = {\n  fetch: (endpoint, options) => fetch(endpoint, options),\n};\n```\n\nThe SDK approach means:\n- Each mock returns one specific shape\n- No conditional logic in test setup\n- Easier to see which endpoints a test exercises\n- Type safety per endpoint\n\n---\n\n## Interface Design for Testability\n\nGood interfaces make testing natural:\n\n1. **Accept dependencies, don't create them**\n\n   ```typescript\n   // Testable\n   function processOrder(order, paymentGateway) {}\n\n   // Hard to test\n   function processOrder(order) {\n     const gateway = new StripeGateway();\n   }\n   ```\n\n2. **Return results, don't produce side effects**\n\n   ```typescript\n   // Testable\n   function calculateDiscount(cart): Discount {}\n\n   // Hard to test\n   function applyDiscount(cart): void {\n     cart.total -= discount;\n   }\n   ```\n\n3. **Small surface area**\n   - Fewer methods = fewer tests needed\n   - Fewer params = simpler test setup\n\n---\n\n## Deep Modules\n\nFrom \"A Philosophy of Software Design\":\n\n**Deep module** = small interface + lots of implementation\n\n```\n┌─────────────────────┐\n│   Small Interface   │  ← Few methods, simple params\n├─────────────────────┤\n│                     │\n│                     │\n│  Deep Implementation│  ← Complex logic hidden\n│                     │\n│                     │\n└─────────────────────┘\n```\n\n**Shallow module** = large interface + little implementation (avoid)\n\n```\n┌─────────────────────────────────┐\n│       Large Interface           │  ← Many methods, complex params\n├─────────────────────────────────┤\n│  Thin Implementation            │  ← Just passes through\n└─────────────────────────────────┘\n```\n\nWhen designing interfaces, ask:\n\n- Can I reduce the number of methods?\n- Can I simplify the parameters?\n- Can I hide more complexity inside?\n\n---\n\n## Refactor Candidates\n\nAfter TDD cycle, look for:\n\n- **Duplication** → Extract function/class\n- **Long methods** → Break into private helpers (keep tests on public interface)\n- **Shallow modules** → Combine or deepen\n- **Feature envy** → Move logic to where data lives\n- **Primitive obsession** → Introduce value objects\n- **Existing code** the new code reveals as problematic\n\n---\n\n## context-mode Specific Rules\n\n### CONTRIBUTING.md Is the Authority\n\n**Read `CONTRIBUTING.md` before writing any test.** It defines:\n- Test file organization (which file to put your test in)\n- TDD workflow (Red-Green-Refactor)\n- Output quality comparison (before/after)\n- Local development setup\n\n**Do NOT create new test files.** `CONTRIBUTING.md` has the complete test file mapping. Add your tests to the existing file that covers the same domain. If no file fits, ask the maintainer.\n\n### CI Builds Bundles — You Don't\n\n**Do NOT run `npm run build` or `npm run bundle`.** Bundle files (`server.bundle.mjs`, `cli.bundle.mjs`) are generated by GitHub CI automatically. Never create, modify, or push bundle files. You only run:\n\n```bash\nnpm test              # vitest — validates behavior\nnpm run typecheck     # tsc --noEmit — validates types\n```\n\nThat's it. No build. No bundle. CI handles the rest.\n\n### TDD Enforcement in Subagents\n\nEvery Staff Engineer agent MUST include this in their prompt:\n\n```\nMANDATORY TDD — your work will be REJECTED without this:\n1. Read CONTRIBUTING.md for test file organization — do NOT create new test files\n2. Write a failing test FIRST in the correct existing test file\n3. Run: npx vitest run tests/{file} — MUST FAIL\n4. Write minimal code to pass\n5. Run: npx vitest run tests/{file} — MUST PASS\n6. Refactor if needed, tests stay green\n7. Report RED→GREEN evidence:\n   \"RED:  test 'detects opencode via env var' — FAIL (expected)\"\n   \"GREEN: added env check in detect.ts — PASS\"\n   Without this evidence, your PR is auto-rejected.\n```\n",".claude/skills/context-mode-ops/triage-issue.md":"# Triage Issue Workflow\n\n## Trigger\n\nUser says: \"triage issue #N\", \"fix issue #N\", \"analyze issue #N\"\n\n## Step-by-Step\n\n### 1. Gather Intelligence (ONE batch call)\n\nUse `ctx_batch_execute` to gather everything in ONE call:\n\n```javascript\ncommands: [\n  { label: \"issue-body\", command: \"gh issue view {N} --json title,body,labels,state,comments,author,createdAt\" },\n  { label: \"issue-comments\", command: \"gh issue view {N} --comments\" },\n  { label: \"recent-related-prs\", command: \"gh pr list --state all --limit 10 --json number,title,state,headRefName\" },\n  { label: \"source-tree\", command: \"find src -type f -name '*.ts' | sort\" },\n  { label: \"test-tree\", command: \"find tests -type f -name '*.test.ts' | sort\" },\n  { label: \"open-issues\", command: \"gh issue list --state open --limit 20 --json number,title,labels\" }\n],\nqueries: [\n  \"issue title description problem\",\n  \"affected adapter platform\",\n  \"error message stack trace\",\n  \"environment variables mentioned\",\n  \"OS platform specific\",\n  \"related PRs and issues\"\n]\n```\n\n### 2. Classify Domains\n\nFrom the gathered intelligence, identify:\n\n- [ ] **Affected adapters** — which of the 12 platforms?\n- [ ] **Affected OS** — macOS, Linux, Windows, or all?\n- [ ] **Core modules** — server, store, executor, session, hooks?\n- [ ] **Issue type** — bug, feature request, question, discussion?\n- [ ] **Severity** — breaking (can't use tool), degraded (works but wrong), cosmetic\n\n### 3. Spawn Agent Army\n\nBased on classification, spawn from [agent-teams.md](agent-teams.md):\n\n```\nALWAYS spawn:\n├── Context Mode Architect (reviews everything)\n├── QA Engineer (runs all tests)\n├── DX Engineer (checks user-facing quality)\n├── Git Archaeologist (bug/regression only — blame trail, read-only, gates the fix)\n\nIF adapter X is affected:\n├── {X} Architect\n├── {X} Staff Engineer\n\nIF OS-specific:\n├── OS Compatibility Architect\n├── {macOS|Linux|Windows} Staff Engineer\n\nIF domain-specific:\n├── {Domain} Architect\n└── (Staff Engineer if code changes needed)\n```\n\n**Example: Issue #208 \"CLI upgrade full support for Opencode/Kilocode\"**\n```\nAgents to spawn:\n1. Context Mode Architect\n2. QA Engineer\n3. DX Engineer\n4. OpenCode Architect\n5. OpenCode Staff Engineer\n6. Kilo Architect\n7. Kilo Staff Engineer\n8. Hooks Architect (CLI upgrade touches hooks)\n9. OS Compatibility Architect (CLI runs on all OS)\n```\n\n### 4. Claim Verification — BLOCKING GATE\n\n<claim_verification_enforcement>\nSTOP. Before ANY agent writes implementation code, the claim in the issue MUST be verified\nwith hard evidence. We shipped inheritEnvKeys because an LLM said Claude Code strips env vars\n— it doesn't. We got burned shipping a fix for an unverified claim. Never again.\n</claim_verification_enforcement>\n\n**Every issue makes a claim. Verify it BEFORE coding.**\n\n| Issue Type | Required Evidence | How to Get It |\n|------------|-------------------|---------------|\n| **Bug report** | Reproduce locally with a failing test or command | Run the exact steps from the report. If it doesn't fail, the bug may not exist. |\n| **Feature request claiming behavior X** | Prove behavior X actually happens | Check official docs, source code, or web search. NOT LLM knowledge — LLMs hallucinate platform behavior. |\n| **Feature request claiming perf issue** | Benchmark the actual impact | Measure before/after. No \"it should be faster\" — show numbers. |\n| **\"Tool X sets env var Y\"** | Find it in official source | `ctx_fetch_and_index` the platform's docs/source. Grep their repo. If you can't find it, it probably doesn't exist. |\n\n**Verification Steps:**\n\n1. **Architect agents** must produce a `CLAIM_VERDICT` before any Staff Engineer writes code:\n   ```\n   CLAIM: \"{exact claim from the issue}\"\n   EVIDENCE: {link to official doc, source file, or reproduction output}\n   VERDICT: CONFIRMED | UNCONFIRMED | HALLUCINATED\n   ```\n\n2. If `VERDICT: UNCONFIRMED` — do NOT implement. Instead, comment on the issue:\n   ```\n   We couldn't reproduce/verify this claim. Could you provide:\n   - Debug output from: npx context-mode doctor (or ctx-debug.sh)\n   - Exact steps to reproduce\n   - Platform version and OS\n\n   We want to fix this but need to confirm the problem exists first.\n   ```\n\n3. If `VERDICT: HALLUCINATED` — the reporter (or their LLM) made up a behavior that doesn't exist. Comment kindly explaining the misunderstanding. Close with \"working as intended\" if appropriate.\n\n4. Only `VERDICT: CONFIRMED` proceeds to the Investigation Phase below.\n\n**The `ctx-debug.sh` script exists for exactly this purpose.** When in doubt, ask the reporter to run it and paste the output.\n\n### 5. Investigation Phase (Parallel)\n\nAll agents investigate simultaneously:\n\n**Git Archaeologist** runs the blame trail FIRST (read-only):\n- Find the commit that introduced the reported behavior (`git log -S`, `git blame`)\n- Read that commit's message + linked PR — what original problem did it solve?\n- Decide if a naive fix would re-break that original fix\n- Report: ARCHAEOLOGY_REPORT (INTRODUCED_BY, ORIGINAL_INTENT, REGRESSION_RISK, SAFE_FIX_CONSTRAINTS)\n- **Staff Engineers MUST read this report before writing any fix** — see [agent-teams.md](agent-teams.md)\n\n**Architects** research:\n- Read relevant source files\n- Check if claimed behavior actually exists\n- Validate ENV vars against real platform docs (use WebSearch + Context7)\n- Review related closed issues for prior art\n- Report: FINDINGS with specific file:line references\n\n**Staff Engineers** prepare (TDD-first per [tdd.md](tdd.md)):\n- Read the code that needs changing\n- **RED**: Write a failing test that reproduces the bug / specifies new behavior\n- Run test — verify it **FAILS** (if it passes, the test is useless)\n- **GREEN**: Write minimal code to make the test pass\n- Run test — verify it **PASSES**\n- **REFACTOR**: Clean up while keeping tests green\n- Repeat for each behavior (vertical slices, never horizontal)\n- Run full affected adapter tests\n- Report: DRAFT_FIX with RED→GREEN evidence for each behavior\n\n### 6. Ping-Pong Review\n\nRoute Staff Engineer outputs to their paired Architects:\n\n```\nEM reads Staff Engineer result\n  → Sends to Architect via Agent(SendMessage)\n  → Architect reviews: APPROVED or CHANGES_NEEDED\n  → If CHANGES_NEEDED: route back to Staff Engineer\n  → Max 2 rounds, then EM decides\n```\n\n### 7. Validate (QA Engineer)\n\nQA Engineer runs the full validation matrix:\n\n```shell\n# All adapter tests\nnpx vitest run tests/adapters/\n\n# Core tests\nnpx vitest run tests/core/\n\n# Full suite\nnpm test\n\n# TypeScript\nnpm run typecheck\n```\n\nReport as a matrix:\n\n```\nAdapter Tests:\n  ✓ claude-code    ✓ gemini-cli    ✓ opencode\n  ✓ openclaw       ✓ kilo          ✓ codex\n  ✓ vscode-copilot ✓ cursor        ✓ antigravity\n  ✓ kiro           ✓ pi            ✓ zed\n\nCore Tests:    ✓ routing  ✓ search  ✓ server  ✓ cli\nTypeScript:    ✓ no errors\nFull Suite:    ✓ 47/47 passed\n```\n\n### 8. Push Directly to `next`\n\n**Do NOT open a PR.** Push fixes directly to the `next` branch:\n\n```bash\n# Ensure we're on next\ngit checkout next\ngit pull origin next\n\n# Apply changes from worktree agents\n# ... (merge worktree changes)\n\n# Commit with issue reference\ngit commit -m \"fix: {concise description} (closes #{N})\n\n- {what was broken}\n- {what was fixed}\n- {which adapters/modules affected}\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\"\n\n# Push to next\ngit push origin next\n```\n\n### 9. Comment on Issue & Close\n\nAfter pushing to `next`, comment and **close the issue immediately**:\n\n```bash\ngh issue comment {N} --body \"$(cat <<'EOF'\nHey @{author}! 👋\n\nWe investigated this and pushed a fix to the `next` branch ({commit_sha}).\n\n**What was happening:** {technical explanation of the root cause}\n\n**What we fixed:** {technical explanation of the fix}\n\n**Affected area:** {adapter/module names}\n\nThis will ship in the next release. Once it's out, could you please test it in your setup and let us know if it resolves the issue? 🙏\n\nIf the fix doesn't work for you, feel free to reopen this issue.\n\nThanks for reporting this!\nEOF\n)\"\n\n# Close the issue — fix is pushed, job done\ngh issue close {N}\n```\n\n## Decision Tree: Fix vs. Wontfix vs. Needs Info\n\n```\nIssue makes a claim about platform behavior?\n├── YES → Run Claim Verification (Step 4) FIRST\n│   ├── CONFIRMED → Fix it (steps 5-9 above)\n│   ├── UNCONFIRMED → Request evidence (ctx-debug.sh output, repro steps)\n│   └── HALLUCINATED → Explain kindly, close if appropriate\n│\nIssue is clear and reproducible (no behavioral claim)?\n├── YES → Fix it (steps 5-9 above)\n├── UNCLEAR → Comment asking for reproduction steps\n│   └── Template: \"Could you share the exact command/config that triggers this?\"\n└── BY DESIGN → Explain why, close with \"working as intended\" label\n    └── Be kind — explain the design decision\n```\n\n## Edge Cases\n\n### Issue references a feature that doesn't exist\nThe issue author may have been told by an LLM that a feature exists when it doesn't. Use [validation.md](validation.md) ENV verification to catch this. Comment explaining the misunderstanding kindly.\n\n### Issue is a duplicate\nLink to the original issue, close as duplicate, thank the reporter.\n\n### Issue is actually a feature request\nRe-label, add to backlog discussion, don't close — let the community weigh in.\n",".claude/skills/context-mode-ops/validation.md":"# Validation Patterns\n\nCross-cutting validation rules used by ALL workflows (triage, review, release).\n\n## Problem Verification — FIRST GATE\n\n<problem_verification_enforcement>\nThis is the FIRST validation step, before anything else. We shipped inheritEnvKeys because\nwe trusted an LLM claim that Claude Code strips environment variables — it does not.\nWe got burned shipping a fix for an unverified claim. Never again.\nEvery bug report, feature request, and behavioral claim MUST be proven true before code is written.\n</problem_verification_enforcement>\n\n### For Bug Reports\n\n**Reproduce it or reject it.** Run the exact reproduction steps from the issue. If it doesn't fail, the bug may not exist.\n\n```\nStep 1: Extract the claimed reproduction steps from the issue\nStep 2: Run them locally (use ctx_execute or a test)\nStep 3: Record the ACTUAL output\nStep 4: Compare actual vs. claimed behavior\nStep 5: VERDICT:\n  → REPRODUCED: Bug is real, proceed to fix\n  → NOT_REPRODUCED: Ask reporter for ctx-debug.sh output and exact repro steps\n  → INVALID: Reporter's environment is misconfigured, help them fix it\n```\n\n### For Feature Requests\n\n**Verify the underlying claim.** Feature requests always contain an implicit claim (\"X behaves this way\", \"Y is slow\", \"Z doesn't support W\"). Prove the claim first.\n\n```\nStep 1: Identify the claim (e.g., \"Claude Code strips env vars from child processes\")\nStep 2: Find HARD EVIDENCE — official docs, source code, or measured benchmarks\n  → Use ctx_fetch_and_index on official docs/repos\n  → Use ctx_execute to run actual tests\n  → NEVER trust LLM knowledge about platform behavior — LLMs hallucinate this constantly\nStep 3: VERDICT:\n  → CONFIRMED: Claim is true, proceed to design\n  → UNCONFIRMED: Cannot verify — ask reporter for evidence before implementing\n  → DEBUNKED: Claim is false — comment on issue explaining the misunderstanding\n```\n\n### Requesting Evidence from Reporters\n\nWhen a claim cannot be verified, comment on the issue BEFORE implementing:\n\n```markdown\nWe want to address this but need to verify the underlying behavior first.\nCould you provide:\n1. Output from: `npx context-mode doctor` (or run `ctx-debug.sh`)\n2. Exact reproduction steps\n3. Platform version, adapter, and OS\n\nWe'll investigate as soon as we can confirm the issue. Thanks for reporting!\n```\n\n### Evidence Log\n\nEvery triage MUST produce a verification entry:\n\n```\nCLAIM: \"{exact claim}\"\nSOURCE: {issue number or PR}\nEVIDENCE: {link to doc, test output, or benchmark result}\nVERDICT: CONFIRMED | UNCONFIRMED | DEBUNKED\nACTION: {proceed | request-info | close-as-invalid}\n```\n\n---\n\n## ENV Variable Verification\n\nLLMs frequently hallucinate environment variables. Every ENV var in an issue or PR must be verified.\n\n### Verification Protocol\n\nFor EACH environment variable mentioned:\n\n```\nStep 1: GREP — Does it exist in context-mode source?\n  → rg \"{ENV_VAR}\" src/\n  → If found: VERIFIED (we already use it)\n  → If not found: continue to Step 2\n\nStep 2: GREP ADAPTERS — Is it in the adapter detect logic?\n  → Read src/adapters/detect.ts\n  → Check the verified env vars comment block at the top\n  → If listed: VERIFIED (we know about it)\n\nStep 3: WEBSEARCH — Does the platform document it?\n  → WebSearch: \"{PLATFORM} {ENV_VAR} environment variable\"\n  → Check official docs, GitHub repos, release notes\n  → If found in official source: REAL but we don't use it yet\n\nStep 4: CONTEXT7 — Library documentation check\n  → resolve-library-id for the platform\n  → query-docs for the ENV var\n  → Cross-reference with Step 3\n\nStep 5: VERDICT\n  → VERIFIED: We use it and it's real\n  → REAL_NEW: Platform has it but we don't use it yet\n  → HALLUCINATED: No evidence it exists — flag it\n  → DEPRECATED: Used to exist but was removed\n```\n\n### Known Verified ENV Vars (Reference)\n\n| Platform | Verified ENV Vars | Source |\n|----------|------------------|--------|\n| Claude Code | `CLAUDE_PROJECT_DIR`, `CLAUDE_SESSION_ID` | src/adapters/detect.ts |\n| Gemini CLI | `GEMINI_PROJECT_DIR`, `GEMINI_CLI` | src/adapters/detect.ts |\n| OpenCode | `OPENCODE`, `OPENCODE_PID` | src/adapters/detect.ts |\n| OpenClaw | `OPENCLAW_HOME`, `OPENCLAW_CLI` | src/adapters/detect.ts |\n| Kilo | `KILO`, `KILO_PID` | src/adapters/detect.ts |\n| Codex | `CODEX_CI`, `CODEX_THREAD_ID` | src/adapters/detect.ts |\n| VS Code Copilot | `VSCODE_PID`, `VSCODE_CWD` | src/adapters/detect.ts |\n| Cursor | `CURSOR_TRACE_ID`, `CURSOR_CLI` | src/adapters/detect.ts |\n| Override | `CONTEXT_MODE_PLATFORM` | src/adapters/detect.ts |\n\nAny ENV var NOT in this table must go through the full verification protocol.\n\n## Adapter Test Matrix\n\n### Full Matrix Run\n\n```shell\n# Run ALL adapter tests\nnpx vitest run tests/adapters/\n\n# Individual adapter (for targeted testing)\nnpx vitest run tests/adapters/claude-code.test.ts\nnpx vitest run tests/adapters/gemini-cli.test.ts\nnpx vitest run tests/adapters/opencode.test.ts\nnpx vitest run tests/adapters/openclaw.test.ts\nnpx vitest run tests/adapters/kilo.test.ts\nnpx vitest run tests/adapters/codex.test.ts\nnpx vitest run tests/adapters/vscode-copilot.test.ts\nnpx vitest run tests/adapters/cursor.test.ts\nnpx vitest run tests/adapters/antigravity.test.ts\nnpx vitest run tests/adapters/kiro.test.ts\nnpx vitest run tests/adapters/zed.test.ts\n\n# Detection logic\nnpx vitest run tests/adapters/detect.test.ts\nnpx vitest run tests/adapters/client-map.test.ts\n```\n\n### Report Format\n\n```\nADAPTER TEST MATRIX\n═══════════════════\nclaude-code     ✓ 5/5    gemini-cli      ✓ 4/4\nopencode        ✓ 6/6    openclaw        ✓ 3/3\nkilo            ✓ 4/4    codex           ✓ 3/3\nvscode-copilot  ✓ 4/4    cursor          ✓ 3/3\nantigravity     ✓ 2/2    kiro            ✓ 3/3\npi              ✓ 2/2    zed             ✓ 2/2\ndetect          ✓ 8/8    client-map      ✓ 6/6\n───────────────────────────────────────────\nTOTAL: {N}/{N} passed | 0 failed\n```\n\n## Core Module Tests\n\n```shell\n# Core tests\nnpx vitest run tests/core/routing.test.ts\nnpx vitest run tests/core/search.test.ts\nnpx vitest run tests/core/server.test.ts\nnpx vitest run tests/core/cli.test.ts\n\n# Module tests\nnpx vitest run tests/store.test.ts\nnpx vitest run tests/executor.test.ts\nnpx vitest run tests/security.test.ts\nnpx vitest run tests/formatters.test.ts\n\n# Hook tests\nnpx vitest run tests/hooks/\n\n# Full suite\nnpm test\n```\n\n## OS Compatibility Checks\n\n### Path Handling\n\n```javascript\n// WRONG — breaks on Windows\nconst configPath = homedir + \"/.config/opencode/config.json\";\n\n// CORRECT — works everywhere\nconst configPath = path.join(homedir(), \".config\", \"opencode\", \"config.json\");\n```\n\nGrep for potential issues:\n```shell\n# String concatenation with path separators\nrg \"homedir\\(\\)\\s*\\+\" src/\nrg '\"/\\.' src/\nrg \"'\\\\./\" src/\n\n# Direct slash usage in paths (should use path.join)\nrg 'path\\s*=.*\"/' src/ --type ts\n```\n\n### Temp Directory\n\n```javascript\n// WRONG — hardcoded /tmp\nconst tmpFile = \"/tmp/context-mode-output.txt\";\n\n// CORRECT — uses OS temp dir\nconst tmpFile = path.join(os.tmpdir(), \"context-mode-output.txt\");\n```\n\nGrep for hardcoded temp:\n```shell\nrg '\"/tmp/' src/\nrg \"'/tmp/\" src/\n```\n\n### Native Bindings (better-sqlite3)\n\nCheck that `better-sqlite3` is in `optionalDependencies` (not `dependencies`) and the code handles the case where it's not available:\n\n```shell\nrg \"better-sqlite3\" src/ --type ts\nrg \"optionalDependencies\" package.json\n```\n\n### Process Spawn\n\n```javascript\n// WRONG — shell: true behaves differently on Windows\nspawn(\"command\", { shell: true });\n\n// CORRECT — explicit shell selection\nspawn(\"command\", { shell: process.platform === \"win32\" ? \"cmd.exe\" : \"/bin/sh\" });\n```\n\n## Hook Format Validation\n\nEach platform has different hook formats. Verify changes match:\n\n| Platform | Hook Format | Key Differences |\n|----------|------------|-----------------|\n| Claude Code | `hooks.json` in plugin dir | `PreToolUse`, `PostToolUse`, `PreCompact`, `SessionStart` |\n| Gemini CLI | `~/.gemini/settings.json` | `BeforeTool`, `AfterTool`, `PreCompress`, `SessionStart` + `matcher` |\n| VS Code Copilot | `.github/hooks/*.json` | Same as Claude Code but separate file |\n| Cursor | `.cursor/hooks.json` | No `SessionStart` (injects via file instead) |\n| OpenCode | `opencode.json` | Uses `agents` section, not traditional hooks |\n| OpenClaw | `openclaw.plugin.json` | Extension model, not hook-based |\n\n## Security Checks\n\n### Sandbox Escape\n\n```shell\n# File writing attempts through ctx_execute\nrg \"writeFile\\|appendFile\\|createWriteStream\" src/executor.ts\n\n# Path traversal\nrg \"\\.\\.\\/\" src/ --type ts\n\n# Command injection vectors\nrg \"exec\\(.*\\$\\{\" src/ --type ts\nrg \"spawn\\(.*\\$\\{\" src/ --type ts\n```\n\n### Information Disclosure\n\n```shell\n# Sensitive paths\nrg \"process\\.env\\b\" src/ --type ts | grep -v \"test\"\n\n# Home directory exposure\nrg \"homedir\\(\\)\" src/ --type ts\n```\n\n## TypeScript Validation\n\n```bash\n# Full type check\nnpm run typecheck\n\n# Should report 0 errors\n# If errors exist, they MUST be fixed before shipping\n```\n\n## Pre-Ship Checklist\n\nEvery change, regardless of workflow, must pass:\n\n- [ ] **Problem verified** — CLAIM_VERDICT is CONFIRMED with hard evidence (this is gate zero)\n- [ ] `npm run typecheck` — 0 errors\n- [ ] `npm test` — all pass\n- [ ] Adapter tests — all 12 pass (or N/A if untouched)\n- [ ] ENV vars — all verified against real platform source\n- [ ] Path handling — no hardcoded separators\n- [ ] Hook format — matches target platform's schema\n- [ ] No security regressions\n\n## Fan-out Claim Verification — SECOND GATE\n\n<fan_out_verification_enforcement>\nSTOP. Before dispatching N implementation agents on a survey result, you MUST\nverify each of the N claims independently. Audit agents are LLMs; LLMs lie.\nA survey that returns \"10 adapters need this fix\" is the moment to slow down,\nnot the moment to fork 10 parallel implementations.\n\nRULE: One audit claim ≠ one verified bug. Each item gets its own CLAIM_VERDICT\nbefore code is touched. The same Problem Verification gate that applies to\nexternal bug reports applies — equally — to internal fan-out claims.\n</fan_out_verification_enforcement>\n\n### When this gate fires\n\nAny time an EM-mode flow produces a multi-item list of suggested fixes — from\na survey agent, a triage sweep, a cross-adapter audit, a release pre-flight,\nan architecture review — the list is a HYPOTHESIS, not a punch list. The N\nitems have NOT been verified just because one agent grouped them.\n\n### The pattern\n\n```\nPHASE A — Reproduce each claim\n  Spawn one verification agent PER item in parallel.\n  Each agent MUST: read the platform source, attempt to reproduce the\n  failure, return CLAIM_VERDICT = CONFIRMED | DEBUNKED | UNDETERMINED.\n  File:line citations from real source are mandatory. No source citation\n  = treat as UNDETERMINED.\n\nPHASE B — Research only CONFIRMED items\n  For each CONFIRMED item, the SAME agent (or a follow-up) MUST identify\n  the concrete fix shape: file location, format, multi-window safety,\n  feasibility tier (HIGH / MEDIUM / LOW). DEBUNKED items are dropped.\n  UNDETERMINED items are tabled for the maintainer's empirical session.\n\nPHASE C — Implement only verified items\n  Dispatch implementation agents only for items that made it through A and\n  B. The fanout factor at this gate is typically 5-20% of the original\n  audit list — the rest were speculation that the gate caught.\n```\n\n### Why this gate exists\n\nReal incident (v1.0.148-era stats accuracy work, 2026-05-24):\n\n- A survey agent returned 10 adapters needing a `resolveCodexSessionCwd`-\n  style on-disk fallback. The maintainer asked for proof.\n- Phase A spawned 5 parallel verification agents (cursor, vscode-copilot,\n  jetbrains-copilot, gemini-cli, opencode).\n- Result: 2 DEBUNKED (cursor: passes cwd in hook stdin; opencode: native\n  plugin bridge, no spawn), 3 CONFIRMED but with different fix shapes\n  (vscode-copilot: trivial 1-line cascade addition; jetbrains: on-disk\n  fallback infeasible due to multi-window collision; gemini-cli: upstream\n  bug + docs workaround).\n- Net engineering scope: **1 trivial line change** instead of 10\n  parallel implementations.\n\nWithout this gate, we would have shipped 10 speculative fixes against\nunreproducible claims — the same failure mode as the inheritEnvKeys\nincident (an LLM said \"Claude Code strips env vars from child processes\",\nwe shipped a fix, and the platform behavior was never the claim).\n\n### What a CLAIM_VERDICT must look like\n\n```yaml\nclaim:\n  description: \"<one sentence stating the hypothesis precisely>\"\nverdict:\n  status: CONFIRMED | DEBUNKED | UNDETERMINED\n  evidence:\n    - \"file:line — what was found\"\n    - \"file:line — supporting detail\"\n    - \"file:line — counterexample (for DEBUNKED)\"\n  fix_shape:        # only when CONFIRMED\n    location: \"<file/format>\"\n    field_path: \"<where cwd / target value lives>\"\n    multi_window_safety: \"<mtime guard? unsafe? n/a?>\"\n    feasibility: HIGH | MEDIUM | LOW\n  decision: SHIP | DOCS-ONLY | TABLE | DROP\n```\n\n### Anti-patterns to recognize\n\n- **\"The audit says 10 — let me spawn 10 implementation agents.\"** Don't.\n  Spawn 10 verification agents first; THEN spawn implementation agents only\n  for the survivors.\n- **\"This is the same kind of bug we just fixed, so it must apply here\n  too.\"** Almost-same-shape bugs frequently have completely different\n  root causes per-platform. Verify per-platform.\n- **\"The agent said X, I trust it.\"** LLMs are programmed to take the\n  path of minimum energy. They will write plausible verdicts without\n  actually reading the source. Require file:line citations and spot-\n  check at least one.\n- **\"We don't have time to verify each one.\"** Verification is faster\n  than reverting bad ships. Five verification agents in parallel finish\n  in the time one implementation agent takes. The verification spend pays\n  for itself if it catches even one DEBUNKED.\n",".codex-plugin/plugin.json":"{\n  \"name\": \"context-mode\",\n  \"version\": \"1.0.169\",\n  \"description\": \"MCP server that saves 98% of your context window with session continuity. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and automatic state restore across compactions.\",\n  \"author\": {\n    \"name\": \"Mert Koseoğlu\",\n    \"url\": \"https://github.com/mksglu\"\n  },\n  \"homepage\": \"https://github.com/mksglu/context-mode#readme\",\n  \"repository\": \"https://github.com/mksglu/context-mode\",\n  \"license\": \"Elastic-2.0\",\n  \"keywords\": [\n    \"mcp\",\n    \"context-window\",\n    \"sandbox\",\n    \"code-execution\",\n    \"fts5\",\n    \"bm25\",\n    \"playwright\",\n    \"context7\"\n  ],\n  \"mcpServers\": \"./.codex-plugin/mcp.json\",\n  \"hooks\": \"./.codex-plugin/hooks.json\",\n  \"skills\": \"./skills/\",\n  \"interface\": {\n    \"displayName\": \"context-mode\",\n    \"shortDescription\": \"98% context window savings via FTS5 + sandboxed execution\",\n    \"developerName\": \"Mert Koseoğlu\",\n    \"category\": \"Productivity\"\n  }\n}\n",".cursor-plugin/plugin.json":"{\n  \"name\": \"context-mode\",\n  \"version\": \"1.0.169\",\n  \"description\": \"Cursor plugin that saves 98% of your context window. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, intent-driven search, and native Cursor v1.7+ hook routing for context protection.\",\n  \"author\": {\n    \"name\": \"Mert Koseoğlu\",\n    \"email\": \"code.bm.ksglu@gmail.com\"\n  },\n  \"homepage\": \"https://github.com/mksglu/context-mode#readme\",\n  \"repository\": \"https://github.com/mksglu/context-mode\",\n  \"license\": \"Elastic-2.0\",\n  \"logo\": \".cursor-plugin/assets/logo.png\",\n  \"keywords\": [\n    \"mcp\",\n    \"context-window\",\n    \"sandbox\",\n    \"code-execution\",\n    \"fts5\",\n    \"bm25\",\n    \"playwright\",\n    \"context7\",\n    \"cursor\"\n  ],\n  \"rules\": \"./configs/cursor/context-mode.mdc\",\n  \"skills\": \"./skills/\",\n  \"hooks\": \"./hooks/cursor/hooks.json\",\n  \"mcpServers\": {\n    \"context-mode\": {\n      \"command\": \"npx\",\n      \"args\": [\n        \"-y\",\n        \"context-mode\"\n      ]\n    }\n  }\n}\n",".openclaw-plugin/openclaw.plugin.json":"{\n  \"id\": \"context-mode\",\n  \"name\": \"Context Mode\",\n  \"kind\": \"tool\",\n  \"description\": \"OpenClaw plugin that saves 98% of your context window. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and intent-driven search.\",\n  \"version\": \"1.0.169\",\n  \"sandbox\": {\n    \"mode\": \"permissive\",\n    \"filesystem_access\": \"full\",\n    \"system_access\": \"full\"\n  },\n  \"contracts\": {\n    \"tools\": [\n      \"ctx_execute\",\n      \"ctx_execute_file\",\n      \"ctx_index\",\n      \"ctx_search\",\n      \"ctx_fetch_and_index\",\n      \"ctx_batch_execute\",\n      \"ctx_stats\",\n      \"ctx_doctor\",\n      \"ctx_upgrade\",\n      \"ctx_purge\",\n      \"ctx_insight\"\n    ]\n  },\n  \"configSchema\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"enabled\": {\n        \"type\": \"boolean\",\n        \"default\": true,\n        \"description\": \"Enable or disable the context-mode plugin.\"\n      }\n    },\n    \"additionalProperties\": false\n  }\n}\n","CLAUDE.md":"# context-mode — MANDATORY routing rules\n\ncontext-mode MCP tools available. Rules protect context window from flooding. One unrouted command dumps 56 KB into context.\n\n## Think in Code — MANDATORY\n\nAnalyze/count/filter/compare/search/parse/transform data: **write code** via `ctx_execute(language, code)`, `console.log()` only the answer. Do NOT read raw data into context. PROGRAM the analysis, not COMPUTE it. Pure JavaScript — Node.js built-ins only (`fs`, `path`, `child_process`). `try/catch`, handle `null`/`undefined`. One script replaces ten tool calls.\n\n## BLOCKED — do NOT attempt\n\n### curl / wget — BLOCKED\nIntercepted and replaced with error. Do NOT retry.\nUse: `ctx_fetch_and_index(url, source)` or `ctx_execute(language: \"javascript\", code: \"const r = await fetch(...)\")`\n\n### Inline HTTP — BLOCKED\n`fetch('http`, `requests.get(`, `requests.post(`, `http.get(`, `http.request(` — intercepted. Do NOT retry.\nUse: `ctx_execute(language, code)` — only stdout enters context\n\n### WebFetch — BLOCKED\nUse: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)`\n\n## REDIRECTED — use sandbox\n\n### Bash (>20 lines output)\nBash ONLY for: `git`, `mkdir`, `rm`, `mv`, `cd`, `ls`, `npm install`, `pip install`.\nOtherwise: `ctx_batch_execute(commands, queries)` or `ctx_execute(language: \"shell\", code: \"...\")`\n\n### Read (for analysis)\nReading to **Edit** → Read correct. Reading to **analyze/explore/summarize** → `ctx_execute_file(path, language, code)`.\n\n### Grep — may flood context\nUse `ctx_execute(language: \"shell\", code: \"grep ...\")` in sandbox.\n\n## Tool selection\n\n0. **MEMORY**: `ctx_search(sort: \"timeline\")` — after resume, check prior context before asking user.\n1. **GATHER**: `ctx_batch_execute(commands, queries)` — runs all commands, auto-indexes, returns search. ONE call replaces 30+. Each command: `{label: \"header\", command: \"...\"}`.\n2. **FOLLOW-UP**: `ctx_search(queries: [\"q1\", \"q2\", ...])` — all questions as array, ONE call (default relevance mode).\n3. **PROCESSING**: `ctx_execute(language, code)` | `ctx_execute_file(path, language, code)` — sandbox, only stdout enters context.\n4. **WEB**: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)` — raw HTML never enters context.\n5. **INDEX**: `ctx_index(content, source)` — store in FTS5 for later search.\n\n## Parallel I/O batches\n\nFor multi-URL fetches or multi-API calls, **always** include `concurrency: N` (1-8):\n\n- `ctx_batch_execute(commands: [3+ network commands], concurrency: 5)` — gh, curl, dig, docker inspect, multi-region cloud queries\n- `ctx_fetch_and_index(requests: [{url, source}, ...], concurrency: 5)` — multi-URL batch fetch\n\n**Use concurrency 4-8** for I/O-bound work (network calls, API queries). **Keep concurrency 1** for CPU-bound (npm test, build, lint) or commands sharing state (ports, lock files, same-repo writes).\n\nGitHub API rate-limit: cap at 4 for `gh` calls.\n\n## Subagent routing\n\nRouting block auto-injected into subagent prompts. Bash-type subagents upgraded to general-purpose. No manual instruction needed.\n\n## Output\n\nWrite artifacts to FILES — never inline. Return: file path + 1-line description.\nDescriptive source labels for `ctx_search(source: \"label\")`.\n\n## Session Continuity\n\nSkills, roles, and decisions persist for the entire session. Do not abandon them as the conversation grows.\n\n## Memory\n\nSession history is persistent and searchable. On resume, search BEFORE asking the user:\n\n| Need | Command |\n|------|---------|\n| What were we working on? | `ctx_search(queries: [\"summary\"], source: \"compaction\", sort: \"timeline\")` |\n| What was the first request? | `ctx_search(queries: [\"prompt\"], source: \"user-prompt\", sort: \"timeline\")` |\n| What did we decide? | `ctx_search(queries: [\"decision\"], source: \"decision\", sort: \"timeline\")` |\n| What NOT to repeat? | `ctx_search(queries: [\"rejected\"], source: \"rejected-approach\")` |\n| What constraints exist? | `ctx_search(queries: [\"constraint\"], source: \"constraint\")` |\n\nDO NOT ask \"what were we working on?\" — SEARCH FIRST.\nIf search returns 0 results, proceed as a fresh session.\n\n## ctx commands\n\n| Command | Action |\n|---------|--------|\n| `ctx stats` | Call `ctx_stats` MCP tool, display full output verbatim |\n| `ctx doctor` | Call `ctx_doctor` MCP tool, run returned shell command, display as checklist |\n| `ctx upgrade` | Call `ctx_upgrade` MCP tool, run returned shell command, display as checklist |\n| `ctx purge` | Call `ctx_purge` MCP tool with confirm: true. Warns before wiping knowledge base. |\n\nAfter /clear or /compact: knowledge base and session stats preserved. Use `ctx purge` to start fresh.\n","configs/antigravity-cli/plugin.json":"{\n  \"name\": \"context-mode\",\n  \"version\": \"1.0.169\",\n  \"description\": \"context-mode for Antigravity CLI (agy): sandboxed code execution, FTS5 knowledge base, and session capture. Saves your context window by keeping raw bytes out of the conversation.\",\n  \"author\": {\n    \"name\": \"Mert Koseoğlu\",\n    \"url\": \"https://github.com/mksglu\"\n  },\n  \"homepage\": \"https://github.com/mksglu/context-mode#readme\",\n  \"license\": \"Elastic-2.0\",\n  \"skills\": [\n    \"./skills/context-mode\"\n  ]\n}\n","configs/antigravity-cli/skills/context-mode/SKILL.md":"---\nname: context-mode\ndescription: Mandatory routing rules for Antigravity CLI. Invoke when exploring a codebase, reading files for analysis, listing context-mode tools, searching, parsing, counting, comparing, summarizing, fetching web content, or running data-heavy commands.\n---\n\n# context-mode for Antigravity CLI\n\ncontext-mode MCP tools are available in agy as `context-mode/<tool>`.\nUse these tools directly. Do not inspect cached schema files under\n`~/.gemini/antigravity-cli/mcp/context-mode/*.json`, and do not run\n`ctx_execute` just to discover tool names or schemas.\n\nIf agy uses the generic MCP wrapper, call `call_mcp_tool` with:\n\n- `ServerName`: `\"context-mode\"`\n- `ToolName`: one of the tool names below\n- `Arguments`: the JSON arguments for that tool\n\n## Tool List\n\n- `context-mode/ctx_execute`: run JavaScript, TypeScript, Python, shell, or\n  other code in a sandbox. Print only the final answer.\n- `context-mode/ctx_execute_file`: read one file into `FILE_CONTENT` inside the\n  sandbox and run code over it. This is the context-mode file-read surface.\n- `context-mode/ctx_batch_execute`: run multiple repository commands in one\n  batch, index large output, and answer follow-up queries.\n- `context-mode/ctx_index`: store a file, directory, or content in the local\n  FTS5 knowledge base for later search.\n- `context-mode/ctx_search`: search indexed content and captured session\n  memory. Batch related questions in `queries`.\n- `context-mode/ctx_fetch_and_index`: fetch web content, store it, then query\n  with `ctx_search`.\n- `context-mode/ctx_stats`: show context savings and current-session stats.\n- `context-mode/ctx_doctor`: diagnose context-mode runtime and hook health.\n- `context-mode/ctx_upgrade`: provide upgrade or repair guidance.\n- `context-mode/ctx_purge`: purge stored context-mode knowledge after\n  confirmation.\n- `context-mode/ctx_insight`: launch or report the Insight analytics app.\n\nWhen the user asks \"what context-mode tools are available\", answer from this\nlist. Do not list `~/.gemini/antigravity-cli/mcp/context-mode` and do not read\nthe JSON schema files.\n\n## File Reading\n\nThere is no separate `ctx_read` tool. Use `context-mode/ctx_execute_file` for\nfile reads that analyze, summarize, extract, count, filter, or compare.\n\nNative `Read` / `view_file` is only right when editing needs exact bytes in the\nconversation, or when the user explicitly asks to view a small known range.\n\nUse JavaScript by default for lightweight file analysis:\n\n```json\n{\n  \"path\": \"README.md\",\n  \"language\": \"javascript\",\n  \"code\": \"const lines = FILE_CONTENT.split(/\\\\r?\\\\n/); console.log(lines.slice(0, 20).join('\\\\n'));\"\n}\n```\n\nNever print `FILE_CONTENT` wholesale unless the user explicitly asks for a full\nfile dump. Print selected lines, counts, matches, summaries, or structured\nresults.\n\n## Codebase Exploration\n\nFor repository exploration, prefer one `context-mode/ctx_batch_execute` call\ninstead of many native `ListDir`, `Read`, `Grep`, or shell calls.\n\nFor one-off computed answers, use `context-mode/ctx_execute`.\nFor one-file analysis, use `context-mode/ctx_execute_file`.\nFor durable recall across follow-up questions, use `context-mode/ctx_index`\nwith a descriptive `source`, then `context-mode/ctx_search`.\n\nReturn concise derived answers. Do not paste raw command dumps, full files,\nlarge search results, cached schemas, or raw HTML into the conversation.\n","configs/copilot-cli/.github/plugin/plugin.json":"{\n  \"name\": \"context-mode\",\n  \"description\": \"context-mode for GitHub Copilot CLI: sandboxed code execution in 11 languages, an FTS5 knowledge base with BM25 ranking, and session capture. Saves your context window by keeping raw bytes out of the conversation.\",\n  \"version\": \"1.0.169\",\n  \"keywords\": [\n    \"mcp\",\n    \"context-window\",\n    \"sandbox\",\n    \"code-execution\",\n    \"fts5\",\n    \"bm25\"\n  ],\n  \"author\": {\n    \"name\": \"Mert Koseoğlu\",\n    \"url\": \"https://github.com/mksglu\"\n  },\n  \"homepage\": \"https://github.com/mksglu/context-mode#readme\",\n  \"repository\": \"https://github.com/mksglu/context-mode\",\n  \"license\": \"Elastic-2.0\",\n  \"skills\": [\n    \"./skills/context-mode\"\n  ]\n}\n","configs/copilot-cli/skills/context-mode/SKILL.md":"---\nname: context-mode\ndescription: MANDATORY routing rules for context-mode. Invoke whenever you analyze, count, filter, compare, search, parse, or transform data; fetch a URL; or run a data-heavy command — so raw bytes stay out of the context window.\n---\n\n# context-mode — MANDATORY routing rules\n\ncontext-mode MCP tools are available in GitHub Copilot CLI. These rules protect\nthe context window from flooding — one unrouted command can dump tens of KB into\nthe conversation. Follow them strictly.\n\n## Think in Code — MANDATORY\n\nAnalyze / count / filter / compare / search / parse / transform data: **write\ncode** via `ctx_execute(language, code)` and `console.log()` only the answer. Do\nNOT read raw data into context. PROGRAM the analysis, do not COMPUTE it by\nreading. One script replaces ten tool calls.\n\n## BLOCKED — do NOT use\n\n- **curl / wget** — dumps raw HTTP into context. Use\n  `ctx_fetch_and_index(url, source)` then `ctx_search(queries)`.\n- **Inline HTTP** (`node -e \"fetch(...)\"`, `python -c \"requests.get(...)\"`) — use\n  `ctx_execute(language, code)`; only stdout enters context.\n- **Reading large files to analyze** — use\n  `ctx_execute_file(path, language, code)`.\n\n## Tool selection\n\n1. **GATHER**: `ctx_batch_execute(commands, queries)` — runs all commands,\n   auto-indexes, returns search. One call replaces dozens.\n2. **PROCESS**: `ctx_execute` / `ctx_execute_file` — sandbox; only stdout enters\n   context.\n3. **WEB**: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)` — raw\n   HTML never enters context.\n4. **SEARCH**: `ctx_search(queries: [...])` — all questions in one call.\n\nWrite artifacts to FILES; return a path + one-line description, not inline dumps.\n","configs/jetbrains-copilot/copilot-instructions.md":"# context-mode — MANDATORY routing rules\n\ncontext-mode MCP tools available. Rules protect context window from flooding. One unrouted command dumps 56 KB into context.\n\n## Think in Code — MANDATORY\n\nAnalyze/count/filter/compare/search/parse/transform data: **write code** via `ctx_execute(language, code)`, `console.log()` only the answer. Do NOT read raw data into context. PROGRAM the analysis, not COMPUTE it. Pure JavaScript — Node.js built-ins only (`fs`, `path`, `child_process`). `try/catch`, handle `null`/`undefined`. One script replaces ten tool calls.\n\n## BLOCKED — do NOT attempt\n\n### curl / wget — BLOCKED\nTerminal `curl`/`wget` intercepted and blocked. Do NOT retry.\nUse: `ctx_fetch_and_index(url, source)` or `ctx_execute(language: \"javascript\", code: \"const r = await fetch(...)\")`\n\n### Inline HTTP — BLOCKED\n`fetch('http`, `requests.get(`, `requests.post(`, `http.get(`, `http.request(` — intercepted. Do NOT retry.\nUse: `ctx_execute(language, code)` — only stdout enters context\n\n### WebFetch / fetch — BLOCKED\nUse: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)`\n\n## REDIRECTED — use sandbox\n\n### Terminal / run_in_terminal (>20 lines output)\nTerminal ONLY for: `git`, `mkdir`, `rm`, `mv`, `cd`, `ls`, `npm install`, `pip install`.\nOtherwise: `ctx_batch_execute(commands, queries)` or `ctx_execute(language: \"javascript\", code: \"...\")`. Use `language: \"shell\"` only when code matches the host shell.\n\n### read_file (for analysis)\nReading to **edit** → read_file correct. Reading to **analyze/explore/summarize** → `ctx_execute_file(path, language, code)`.\n\n### grep / search (large results)\nUse `ctx_execute(language: \"javascript\", code: \"...\")` in sandbox for portable filtering/counting.\n\n## Tool selection\n\n0. **MEMORY**: `ctx_search(sort: \"timeline\")` — after resume, check prior context before asking user.\n1. **GATHER**: `ctx_batch_execute(commands, queries)` — runs all commands, auto-indexes, returns search. ONE call replaces 30+. Each command: `{label: \"header\", command: \"...\"}`.\n2. **FOLLOW-UP**: `ctx_search(queries: [\"q1\", \"q2\", ...])` — all questions as array, ONE call (default relevance mode).\n3. **PROCESSING**: `ctx_execute(language, code)` | `ctx_execute_file(path, language, code)` — sandbox, only stdout enters context.\n4. **WEB**: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)` — raw HTML never enters context.\n5. **INDEX**: `ctx_index(content, source)` — store in FTS5 for later search.\n\n### Parallel I/O batches\nPass `concurrency: 4-8` to `ctx_batch_execute` and `ctx_fetch_and_index` for network/API batches. Keep `concurrency: 1` for CPU-bound work (test, build, lint). GitHub gh: cap at 4.\n\n## Output\n\nWrite artifacts to FILES — never inline. Return: file path + 1-line description.\nDescriptive source labels for `ctx_search(source: \"label\")`.\n\n## Session Continuity\n\nSkills, roles, and decisions persist for the entire session. Do not abandon them as the conversation grows.\n\n## Memory\n\nSession history is persistent and searchable. On resume, search BEFORE asking the user:\n\n| Need | Command |\n|------|---------|\n| What were we working on? | `ctx_search(queries: [\"summary\"], source: \"compaction\", sort: \"timeline\")` |\n| What did we decide? | `ctx_search(queries: [\"decision\"], source: \"decision\", sort: \"timeline\")` |\n| What NOT to repeat? | `ctx_search(queries: [\"rejected\"], source: \"rejected-approach\")` |\n| What constraints exist? | `ctx_search(queries: [\"constraint\"], source: \"constraint\")` |\n\nNote: user-prompt history not available.\n\nDO NOT ask \"what were we working on?\" — SEARCH FIRST.\nIf search returns 0 results, proceed as a fresh session.\n\n## ctx commands\n\n| Command | Action |\n|---------|--------|\n| `ctx stats` | Call `ctx_stats` MCP tool, display full output verbatim |\n| `ctx doctor` | Call `ctx_doctor` MCP tool, run returned shell command, display as checklist |\n| `ctx upgrade` | Call `ctx_upgrade` MCP tool, run returned shell command, display as checklist |\n| `ctx purge` | Call `ctx_purge` MCP tool with confirm: true. Warns before wiping knowledge base. |\n\nAfter /clear or /compact: knowledge base and session stats preserved. Use `ctx purge` to start fresh.\n","configs/vscode-copilot/copilot-instructions.md":"# context-mode — MANDATORY routing rules\n\ncontext-mode MCP tools available. Rules protect context window from flooding. One unrouted command dumps 56 KB into context.\n\n## Think in Code — MANDATORY\n\nAnalyze/count/filter/compare/search/parse/transform data: **write code** via `ctx_execute(language, code)`, `console.log()` only the answer. Do NOT read raw data into context. PROGRAM the analysis, not COMPUTE it. Pure JavaScript — Node.js built-ins only (`fs`, `path`, `child_process`). `try/catch`, handle `null`/`undefined`. One script replaces ten tool calls.\n\n## BLOCKED — do NOT attempt\n\n### curl / wget — BLOCKED\nTerminal `curl`/`wget` intercepted and blocked. Do NOT retry.\nUse: `ctx_fetch_and_index(url, source)` or `ctx_execute(language: \"javascript\", code: \"const r = await fetch(...)\")`\n\n### Inline HTTP — BLOCKED\n`fetch('http`, `requests.get(`, `requests.post(`, `http.get(`, `http.request(` — intercepted. Do NOT retry.\nUse: `ctx_execute(language, code)` — only stdout enters context\n\n### WebFetch / fetch — BLOCKED\nUse: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)`\n\n## REDIRECTED — use sandbox\n\n### Terminal / run_in_terminal (>20 lines output)\nTerminal ONLY for: `git`, `mkdir`, `rm`, `mv`, `cd`, `ls`, `npm install`, `pip install`.\nOtherwise: `ctx_batch_execute(commands, queries)` or `ctx_execute(language: \"javascript\", code: \"...\")`. Use `language: \"shell\"` only when code matches the host shell.\n\n### read_file (for analysis)\nReading to **edit** → read_file correct. Reading to **analyze/explore/summarize** → `ctx_execute_file(path, language, code)`.\n\n### grep / search (large results)\nUse `ctx_execute(language: \"javascript\", code: \"...\")` in sandbox for portable filtering/counting.\n\n## Tool selection\n\n0. **MEMORY**: `ctx_search(sort: \"timeline\")` — after resume, check prior context before asking user.\n1. **GATHER**: `ctx_batch_execute(commands, queries)` — runs all commands, auto-indexes, returns search. ONE call replaces 30+. Each command: `{label: \"header\", command: \"...\"}`.\n2. **FOLLOW-UP**: `ctx_search(queries: [\"q1\", \"q2\", ...])` — all questions as array, ONE call (default relevance mode).\n3. **PROCESSING**: `ctx_execute(language, code)` | `ctx_execute_file(path, language, code)` — sandbox, only stdout enters context.\n4. **WEB**: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)` — raw HTML never enters context.\n5. **INDEX**: `ctx_index(content, source)` — store in FTS5 for later search.\n\n### Parallel I/O batches\nPass `concurrency: 4-8` to `ctx_batch_execute` and `ctx_fetch_and_index` for network/API batches. Keep `concurrency: 1` for CPU-bound work (test, build, lint). GitHub gh: cap at 4.\n\n## Output\n\nWrite artifacts to FILES — never inline. Return: file path + 1-line description.\nDescriptive source labels for `ctx_search(source: \"label\")`.\n\n## Session Continuity\n\nSkills, roles, and decisions persist for the entire session. Do not abandon them as the conversation grows.\n\n## Memory\n\nSession history is persistent and searchable. On resume, search BEFORE asking the user:\n\n| Need | Command |\n|------|---------|\n| What were we working on? | `ctx_search(queries: [\"summary\"], source: \"compaction\", sort: \"timeline\")` |\n| What did we decide? | `ctx_search(queries: [\"decision\"], source: \"decision\", sort: \"timeline\")` |\n| What NOT to repeat? | `ctx_search(queries: [\"rejected\"], source: \"rejected-approach\")` |\n| What constraints exist? | `ctx_search(queries: [\"constraint\"], source: \"constraint\")` |\n\nNote: user-prompt history not available.\n\nDO NOT ask \"what were we working on?\" — SEARCH FIRST.\nIf search returns 0 results, proceed as a fresh session.\n\n## ctx commands\n\n| Command | Action |\n|---------|--------|\n| `ctx stats` | Call `ctx_stats` MCP tool, display full output verbatim |\n| `ctx doctor` | Call `ctx_doctor` MCP tool, run returned shell command, display as checklist |\n| `ctx upgrade` | Call `ctx_upgrade` MCP tool, run returned shell command, display as checklist |\n| `ctx purge` | Call `ctx_purge` MCP tool with confirm: true. Warns before wiping knowledge base. |\n\nAfter /clear or /compact: knowledge base and session stats preserved. Use `ctx purge` to start fresh.\n","openclaw.plugin.json":"{\n  \"id\": \"context-mode\",\n  \"name\": \"Context Mode\",\n  \"kind\": \"tool\",\n  \"description\": \"OpenClaw plugin that saves 98% of your context window. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and intent-driven search.\",\n  \"version\": \"1.0.169\",\n  \"sandbox\": {\n    \"mode\": \"permissive\",\n    \"filesystem_access\": \"full\",\n    \"system_access\": \"full\"\n  },\n  \"contracts\": {\n    \"tools\": [\n      \"ctx_execute\",\n      \"ctx_execute_file\",\n      \"ctx_index\",\n      \"ctx_search\",\n      \"ctx_fetch_and_index\",\n      \"ctx_batch_execute\",\n      \"ctx_stats\",\n      \"ctx_doctor\",\n      \"ctx_upgrade\",\n      \"ctx_purge\",\n      \"ctx_insight\"\n    ]\n  },\n  \"configSchema\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"enabled\": {\n        \"type\": \"boolean\",\n        \"default\": true,\n        \"description\": \"Enable or disable the context-mode plugin.\"\n      }\n    },\n    \"additionalProperties\": false\n  }\n}\n","skills/context-mode/SKILL.md":"---\nname: context-mode\ndescription: |\n  Use context-mode tools (ctx_execute, ctx_execute_file) instead of Bash/cat when processing\n  large outputs. Triggers: \"analyze logs\", \"summarize output\", \"process data\",\n  \"parse JSON\", \"filter results\", \"extract errors\", \"check build output\",\n  \"analyze dependencies\", \"process API response\", \"large file analysis\",\n  \"page snapshot\", \"browser snapshot\", \"DOM structure\", \"inspect page\",\n  \"accessibility tree\", \"Playwright snapshot\",\n  \"run tests\", \"test output\", \"coverage report\", \"git log\", \"recent commits\",\n  \"diff between branches\", \"list containers\", \"pod status\", \"disk usage\",\n  \"fetch docs\", \"API reference\", \"index documentation\",\n  \"call API\", \"check response\", \"query results\",\n  \"find TODOs\", \"count lines\", \"codebase statistics\", \"security audit\",\n  \"outdated packages\", \"dependency tree\", \"cloud resources\", \"CI/CD output\".\n  Also triggers on ANY MCP tool output that may exceed 20 lines.\n  Subagent routing is handled automatically via PreToolUse hook.\n---\n\n# Context Mode: Default for All Large Output\n\n## MANDATORY RULE\n\n<context_mode_logic>\n  <mandatory_rule>\n    Default to context-mode for ALL commands. Only use Bash for guaranteed-small-output operations.\n  </mandatory_rule>\n</context_mode_logic>\n\nBash whitelist (safe to run directly):\n- **File mutations**: `mkdir`, `mv`, `cp`, `rm`, `touch`, `chmod`\n- **Git writes**: `git add`, `git commit`, `git push`, `git checkout`, `git branch`, `git merge`\n- **Navigation**: `cd`, `pwd`, `which`\n- **Process control**: `kill`, `pkill`\n- **Package management**: `npm install`, `npm publish`, `pip install`\n- **Simple output**: `echo`, `printf`\n\n**Everything else → `ctx_execute` or `ctx_execute_file`.** Any command that reads, queries, fetches, lists, logs, tests, builds, diffs, inspects, or calls an external service. This includes ALL CLIs (gh, aws, kubectl, docker, terraform, wrangler, fly, heroku, gcloud, etc.) — there are thousands and we cannot list them all.\n\n**When uncertain, use context-mode.** Every KB of unnecessary context reduces the quality and speed of the entire session.\n\n## Decision Tree\n\n```\nAbout to run a command / read a file / call an API?\n│\n├── Command is on the Bash whitelist (file mutations, git writes, navigation, echo)?\n│   └── Use Bash\n│\n├── Output MIGHT be large or you're UNSURE?\n│   └── Use context-mode ctx_execute or ctx_execute_file\n│\n├── Fetching web documentation or HTML page?\n│   └── Use ctx_fetch_and_index → ctx_search\n│\n├── Using Playwright (navigate, snapshot, console, network)?\n│   └── ALWAYS use filename parameter to save to file, then:\n│       browser_snapshot(filename) → ctx_index(path) or ctx_execute_file(path)\n│       browser_console_messages(filename) → ctx_execute_file(path)\n│       browser_network_requests(filename) → ctx_execute_file(path)\n│       ⚠ browser_navigate returns a snapshot automatically — ignore it,\n│         use browser_snapshot(filename) for any inspection.\n│       ⚠ Playwright MCP uses a SINGLE browser instance — NOT parallel-safe.\n│         For parallel browser ops, use agent-browser via execute instead.\n│\n├── Using agent-browser (parallel-safe browser automation)?\n│   └── Run via execute (shell) — each call gets its own subprocess:\n│       execute(\"agent-browser open example.com && agent-browser snapshot -i -c\")\n│       ✓ Supports sessions for isolated browser instances\n│       ✓ Safe for parallel subagent execution\n│       ✓ Lightweight accessibility tree with ref-based interaction\n│\n├── Processing output from another MCP tool (Context7, GitHub API, etc.)?\n│   ├── Output already in context from a previous tool call?\n│   │   └── Use it directly. Do NOT re-index with ctx_index(content: ...).\n│   ├── Need to search the output multiple times?\n│   │   └── Save to file via ctx_execute, then ctx_index(path) → ctx_search\n│   └── One-shot extraction?\n│       └── Save to file via ctx_execute, then ctx_execute_file(path)\n│\n└── Reading a file to analyze/summarize (not edit)?\n    └── Use ctx_execute_file (file loads into FILE_CONTENT, not context)\n```\n\n## When to Use Each Tool\n\n| Situation | Tool | Example |\n|-----------|------|---------|\n| Hit an API endpoint | `ctx_execute` | `fetch('http://localhost:3000/api/orders')` |\n| Run CLI that returns data | `ctx_execute` | `gh pr list`, `aws s3 ls`, `kubectl get pods` |\n| Run tests | `ctx_execute` | `npm test`, `pytest`, `go test ./...` |\n| Git operations | `ctx_execute` | `git log --oneline -50`, `git diff HEAD~5` |\n| Docker/K8s inspection | `ctx_execute` | `docker stats --no-stream`, `kubectl describe pod` |\n| Read a log file | `ctx_execute_file` | Parse access.log, error.log, build output |\n| Read a data file | `ctx_execute_file` | Analyze CSV, JSON, YAML, XML |\n| Read source code to analyze | `ctx_execute_file` | Count functions, find patterns, extract metrics |\n| Fetch web docs | `ctx_fetch_and_index` | Index React/Next.js/Zod docs, then search |\n| Playwright snapshot | `browser_snapshot(filename)` → `ctx_index(path)` → `ctx_search` | Save to file, index server-side, query |\n| Playwright snapshot (one-shot) | `browser_snapshot(filename)` → `ctx_execute_file(path)` | Save to file, extract in sandbox |\n| Playwright console/network | `browser_*(filename)` → `ctx_execute_file(path)` | Save to file, analyze in sandbox |\n| MCP output (already in context) | Use directly | Don't re-index — it's already loaded |\n| MCP output (need multi-query) | `ctx_execute` to save → `ctx_index(path)` → `ctx_search` | Save to file first, index server-side |\n| Wipe indexed KB content | `ctx_purge(confirm: true)` | Permanently deletes all indexed content |\n\n## Automatic Triggers\n\nUse context-mode for ANY of these, without being asked:\n\n- **API debugging**: \"hit this endpoint\", \"call the API\", \"check the response\", \"find the bug in the response\"\n- **Log analysis**: \"check the logs\", \"what errors\", \"read access.log\", \"debug the 500s\"\n- **Test runs**: \"run the tests\", \"check if tests pass\", \"test suite output\"\n- **Git history**: \"show recent commits\", \"git log\", \"what changed\", \"diff between branches\"\n- **Data inspection**: \"look at the CSV\", \"parse the JSON\", \"analyze the config\"\n- **Infrastructure**: \"list containers\", \"check pods\", \"S3 buckets\", \"show running services\"\n- **Dependency audit**: \"check dependencies\", \"outdated packages\", \"security audit\"\n- **Build output**: \"build the project\", \"check for warnings\", \"compile errors\"\n- **Code metrics**: \"count lines\", \"find TODOs\", \"function count\", \"analyze codebase\"\n- **Web docs lookup**: \"look up the docs\", \"check the API reference\", \"find examples\"\n\n## Language Selection\n\n| Situation | Language | Why |\n|-----------|----------|-----|\n| HTTP/API calls, JSON | `javascript` | Native fetch, JSON.parse, async/await |\n| Data analysis, CSV, stats | `python` | csv, statistics, collections, re |\n| Shell commands with pipes | `shell` | grep, awk, jq, native tools |\n| File pattern matching | `shell` | find, wc, sort, uniq |\n\n## Search Query Strategy\n\n- BM25 uses **OR semantics** — results matching more terms rank higher automatically\n- Use 2-4 specific technical terms per query\n- **Always use `source` parameter** when multiple docs are indexed to avoid cross-source contamination\n  - Partial match works: `source: \"Node\"` matches `\"Node.js v22 CHANGELOG\"`\n- **Always use `queries` array** — batch ALL search questions in ONE call:\n  - `ctx_search(queries: [\"transform pipe\", \"refine superRefine\", \"coerce codec\"], source: \"Zod\")`\n  - NEVER make multiple separate ctx_search() calls — put all queries in one array\n\n## External Documentation\n\n- **Always use `ctx_fetch_and_index`** for external docs — NEVER `cat` or `ctx_execute` with local paths for packages you don't own\n- For GitHub-hosted projects, use the raw URL: `https://raw.githubusercontent.com/org/repo/main/CHANGELOG.md`\n- After indexing, use the `source` parameter in search to scope results to that specific document\n\n## Critical Rules\n\n1. **Always console.log/print your findings.** stdout is all that enters context. No output = wasted call.\n2. **Write analysis code, not just data dumps.** Don't `console.log(JSON.stringify(data))` — analyze first, print findings.\n3. **Be specific in output.** Print bug details with IDs, line numbers, exact values — not just counts.\n4. **For files you need to EDIT**: Use the normal Read tool. context-mode is for analysis, not editing.\n5. **For Bash whitelist commands only**: Use Bash for file mutations, git writes, navigation, process control, package install, and echo. Everything else goes through context-mode.\n6. **Never use `ctx_index(content: large_data)`.** Use `ctx_index(path: ...)` to read files server-side. The `content` parameter sends data through context as a tool parameter — use it only for small inline text.\n7. **Always use `filename` parameter** on Playwright tools (`browser_snapshot`, `browser_console_messages`, `browser_network_requests`). Without it, the full output enters context.\n8. **Don't re-index data already in context.** If an MCP tool returned data in a previous response, it's already loaded — use it directly or save to file first.\n\n## Sandboxed Data Workflow\n\n<sandboxed_data_workflow>\n  <critical_rule>\n    When using tools that support saving to a file: ALWAYS use the 'filename' parameter.\n    NEVER return large raw datasets directly to context.\n  </critical_rule>\n  <workflow>\n    LargeDataTool(filename: \"path\") → mcp__context-mode__ctx_index(path: \"path\") → ctx_search()\n  </workflow>\n</sandboxed_data_workflow>\n\nThis is the universal pattern for context preservation regardless of\nthe source tool (Playwright, GitHub API, AWS CLI, etc.).\n\n## Examples\n\n### Debug an API endpoint\n```javascript\nconst resp = await fetch('http://localhost:3000/api/orders');\nconst { orders } = await resp.json();\n\nconst bugs = [];\nconst negQty = orders.filter(o => o.quantity < 0);\nif (negQty.length) bugs.push(`Negative qty: ${negQty.map(o => o.id).join(', ')}`);\n\nconst nullFields = orders.filter(o => !o.product || !o.customer);\nif (nullFields.length) bugs.push(`Null fields: ${nullFields.map(o => o.id).join(', ')}`);\n\nconsole.log(`${orders.length} orders, ${bugs.length} bugs found:`);\nbugs.forEach(b => console.log(`- ${b}`));\n```\n\n### Analyze test output\n```shell\nnpm test 2>&1\necho \"EXIT=$?\"\n```\n\n### Check GitHub PRs\n```shell\ngh pr list --json number,title,state,reviewDecision --jq '.[] | \"\\(.number) [\\(.state)] \\(.title) — \\(.reviewDecision // \"no review\")\"'\n```\n\n### Read and analyze a large file\n```python\n# FILE_CONTENT is pre-loaded by ctx_execute_file\nimport json\ndata = json.loads(FILE_CONTENT)\nprint(f\"Records: {len(data)}\")\n# ... analyze and print findings\n```\n\n## Browser & Playwright Integration\n\n**When a task involves Playwright snapshots, screenshots, or page inspection, ALWAYS route through file → sandbox.**\n\nPlaywright `browser_snapshot` returns 10K–135K tokens of accessibility tree data. Calling it without `filename` dumps all of that into context. Passing the output to `ctx_index(content: ...)` sends it into context a SECOND time as a parameter. Both are wrong.\n\n**The key insight**: `browser_snapshot` has a `filename` parameter that saves to file instead of returning to context. `ctx_index` has a `path` parameter that reads files server-side. `ctx_execute_file` processes files in a sandbox. **None of these touch context.**\n\n### Workflow A: Snapshot → File → Index → Search (multiple queries)\n\n```\nStep 1: browser_snapshot(filename: \"/tmp/playwright-snapshot.md\")\n        → saves to file, returns ~50B confirmation (NOT 135K tokens)\n\nStep 2: ctx_index(path: \"/tmp/playwright-snapshot.md\", source: \"Playwright snapshot\")\n        → reads file SERVER-SIDE, indexes into FTS5, returns ~80B confirmation\n\nStep 3: ctx_search(queries: [\"login form email password\"], source: \"Playwright\")\n        → returns only matching chunks (~300B)\n```\n\n**Total context: ~430B** instead of 270K tokens. Real 99% savings.\n\n### Workflow B: Snapshot → File → Execute File (one-shot extraction)\n\n```\nStep 1: browser_snapshot(filename: \"/tmp/playwright-snapshot.md\")\n        → saves to file, returns ~50B confirmation\n\nStep 2: ctx_execute_file(path: \"/tmp/playwright-snapshot.md\", language: \"javascript\", code: \"\n          const links = [...FILE_CONTENT.matchAll(/- link \\\"([^\\\"]+)\\\"/g)].map(m => m[1]);\n          const buttons = [...FILE_CONTENT.matchAll(/- button \\\"([^\\\"]+)\\\"/g)].map(m => m[1]);\n          const inputs = [...FILE_CONTENT.matchAll(/- textbox|- checkbox|- radio/g)];\n          console.log('Links:', links.length, '| Buttons:', buttons.length, '| Inputs:', inputs.length);\n          console.log('Navigation:', links.slice(0, 10).join(', '));\n        \")\n        → processes in sandbox, returns ~200B summary\n```\n\n**Total context: ~250B** instead of 135K tokens.\n\n### Workflow C: Console & Network (save to file if large)\n\n```\nbrowser_console_messages(level: \"error\", filename: \"/tmp/console.md\")\n→ ctx_execute_file(path: \"/tmp/console.md\", ...) or ctx_index(path: \"/tmp/console.md\", ...)\n\nbrowser_network_requests(includeStatic: false, filename: \"/tmp/network.md\")\n→ ctx_execute_file(path: \"/tmp/network.md\", ...) or ctx_index(path: \"/tmp/network.md\", ...)\n```\n\n### CRITICAL: Why `filename` + `path` is mandatory\n\n| Approach | Context cost | Correct? |\n|----------|-------------|----------|\n| `browser_snapshot()` → raw into context | **135K tokens** | NO |\n| `browser_snapshot()` → `ctx_index(content: raw)` | **270K tokens** (doubled!) | NO |\n| `browser_snapshot(filename)` → `ctx_index(path)` → `ctx_search` | **~430B** | YES |\n| `browser_snapshot(filename)` → `ctx_execute_file(path)` | **~250B** | YES |\n\n### Key Rule\n\n> **ALWAYS use `filename` parameter when calling `browser_snapshot`, `browser_console_messages`, or `browser_network_requests`.**\n> Then process via `ctx_index(path: ...)` or `ctx_execute_file(path: ...)` — never `ctx_index(content: ...)`.\n>\n> Data flow: **Playwright → file → server-side read → context**. Never: **Playwright → context → ctx_index(content) → context again**.\n\n## Subagent Usage\n\nSubagents automatically receive context-mode tool routing via a PreToolUse hook. You do NOT need to manually add tool names to subagent prompts — the hook injects them. Just write natural task descriptions.\n\n## Anti-Patterns\n\n- Using `curl http://api/endpoint` via Bash → 50KB floods context. Use `ctx_execute` with fetch instead.\n- Using `cat large-file.json` via Bash → entire file in context. Use `ctx_execute_file` instead.\n- Using `gh pr list` via Bash → raw JSON in context. Use `ctx_execute` with `--jq` filter instead.\n- Piping Bash output through `| head -20` → you lose the rest. Use `ctx_execute` to analyze ALL data and print summary.\n- Narrowing `ctx_execute` output upstream of capture → `ctx_execute` captures, `ctx_search` filters; merging the layers drops data that the index never sees. See `references/anti-patterns.md` §8.\n- Running `npm test` via Bash → full test output in context. Use `ctx_execute` to capture and summarize.\n- Calling `browser_snapshot()` WITHOUT `filename` parameter → 135K tokens flood context. **Always** use `browser_snapshot(filename: \"/tmp/snap.md\")`.\n- Calling `browser_console_messages()` or `browser_network_requests()` WITHOUT `filename` → entire output floods context. **Always** use the `filename` parameter.\n- Passing ANY large data to `ctx_index(content: ...)` → data enters context as a parameter. **Always** use `ctx_index(path: ...)` to read server-side. The `content` parameter should only be used for small inline text you're composing yourself.\n- Calling an MCP tool (Context7 `query-docs`, GitHub API, etc.) then passing the response to `ctx_index(content: response)` → **doubles** context usage. The response is already in context — use it directly or save to file first.\n- Ignoring `browser_navigate` auto-snapshot → navigation response includes a full page snapshot. Don't rely on it for inspection — call `browser_snapshot(filename)` separately.\n- Expecting `ctx_stats` to reset or wipe anything → `ctx_stats` is read-only (shows stats only). Use `ctx_purge(confirm: true)` to permanently delete all indexed content.\n\n## Reference Files\n\n- [JavaScript/TypeScript Patterns](./references/patterns-javascript.md)\n- [Python Patterns](./references/patterns-python.md)\n- [Shell Patterns](./references/patterns-shell.md)\n- [Anti-Patterns & Common Mistakes](./references/anti-patterns.md)\n","skills/context-mode/references/anti-patterns.md":"# Anti-Patterns: Common Mistakes with execute / execute_file\n\nAvoid these pitfalls when using context-mode tools.\n\n---\n\n## 1. Using execute for Small Outputs (< 20 Lines)\n\n**Problem:** `execute` adds overhead (LLM summarization call). For small outputs, Bash is faster and cheaper.\n\n```\nBAD — wasteful use of execute:\n  Tool: execute\n  code: \"echo $(node --version)\"\n  language: shell\n\nGOOD — just use Bash:\n  Tool: Bash\n  command: node --version\n```\n\n**Rule:** If the output fits comfortably in your context window (under ~20 lines), use Bash directly. Reserve `execute` for outputs that would bloat context or need intelligent summarization.\n\nMore examples of \"just use Bash\":\n- `git status` — usually 5-10 lines\n- `ls -la` — directory listing\n- `cat .env.example` — small config file\n- `pwd`, `whoami`, `which node`\n- `wc -l src/index.ts` — single line output\n\n---\n\n## 2. Forgetting to Print Output\n\n**Problem:** `execute` captures stdout. If your code doesn't print anything, the summary will be empty or meaningless.\n\n```javascript\n// BAD — no output:\nconst fs = require('fs');\nconst data = JSON.parse(fs.readFileSync('package.json', 'utf8'));\nconst deps = Object.keys(data.dependencies);\n// Nothing printed! The LLM sees empty stdout.\n\n// GOOD — explicit output:\nconst fs = require('fs');\nconst data = JSON.parse(fs.readFileSync('package.json', 'utf8'));\nconst deps = Object.keys(data.dependencies);\nconsole.log(`Dependencies (${deps.length}):`);\ndeps.forEach(d => console.log(`  ${d}: ${data.dependencies[d]}`));\n```\n\n```python\n# BAD — computes but never prints:\nwith open('data.json') as f:\n    data = json.load(f)\nresult = [x for x in data if x['status'] == 'error']\n# result is lost — never printed\n\n# GOOD — always print results:\nwith open('data.json') as f:\n    data = json.load(f)\nresult = [x for x in data if x['status'] == 'error']\nprint(f\"Found {len(result)} errors:\")\nfor r in result:\n    print(f\"  {r['id']}: {r['message']}\")\n```\n\n**Rule:** Every `execute` script must end with print/console.log of the results you want summarized.\n\n---\n\n## 3. Using Bash When JS/Python Would Be Cleaner\n\n**Problem:** Complex data processing in Bash quickly becomes unreadable and error-prone.\n\n```shell\n# BAD — parsing JSON in Bash is fragile:\ncat data.json | python3 -c \"\nimport sys, json\ndata = json.load(sys.stdin)\nfor item in data:\n    if item['status'] == 'error':\n        print(item['id'], item['message'])\n\"\n# If you're already using Python inline, just use language: python\n```\n\n```javascript\n// GOOD — use the right language for the job:\n// language: javascript\nconst data = require('./data.json');\ndata.filter(x => x.status === 'error')\n    .forEach(x => console.log(`${x.id}: ${x.message}`));\n```\n\n**Rule:** If your Bash script contains inline Python/Node or complex `jq`/`awk` chains, switch to `language: python` or `language: javascript` instead.\n\nSigns you should switch from shell:\n- Using `python3 -c` or `node -e` inside the shell script\n- More than 3 pipes chained together\n- Using `jq` for complex JSON transformations\n- Nested loops in Bash\n- String manipulation beyond simple `cut`/`sed`\n\n---\n\n## 4. Loading Entire Files into Context Then Processing\n\n**Problem:** Reading a 10,000-line file with `Read` tool, then asking about it, wastes your entire context window. Use `execute` to process the file and return only the summary.\n\n```\nBAD workflow:\n  1. Read tool: read 'server.log' (10,000 lines loaded into context)\n  2. \"Find all errors in this log\"\n  → 10,000 lines consumed context for a question that needs ~20 lines of output\n\nGOOD workflow:\n  1. execute with language: python\n     code: |\n       with open('server.log') as f:\n           errors = [l for l in f if 'ERROR' in l]\n       print(f\"Total errors: {len(errors)}\")\n       for e in errors[-20:]:\n           print(e.strip())\n     summary_prompt: \"Categorize errors and report frequency\"\n  → Only the summary enters context\n```\n\n```\nBAD workflow:\n  1. Read tool: read 'package-lock.json' (20,000 lines)\n  2. \"What version of lodash is installed?\"\n\nGOOD workflow:\n  1. execute with language: javascript\n     code: |\n       const lock = require('./package-lock.json');\n       const find = (deps, name) => {\n         if (deps[name]) return deps[name].version;\n         for (const [, dep] of Object.entries(deps)) {\n           if (dep.dependencies) {\n             const v = find(dep.dependencies, name);\n             if (v) return v;\n           }\n         }\n       };\n       console.log(`lodash: ${find(lock.dependencies, 'lodash') || 'not found'}`);\n     summary_prompt: \"Report the installed version of lodash\"\n```\n\n**Rule:** If a file is over 200 lines and you only need specific data from it, use `execute` to extract what you need rather than reading the whole file into context.\n\n---\n\n## 5. Not Using JSON.stringify for Structured Output\n\n**Problem:** Printing objects without serialization gives `[object Object]` in JavaScript.\n\n```javascript\n// BAD — prints [object Object]:\nconst pkg = require('./package.json');\nconsole.log(pkg.dependencies);\n// Output: [object Object]\n\n// GOOD — serialize properly:\nconst pkg = require('./package.json');\nconsole.log(JSON.stringify(pkg.dependencies, null, 2));\n// Output: { \"react\": \"^18.2.0\", \"next\": \"^14.0.0\", ... }\n```\n\n```javascript\n// BAD — loses structure in arrays:\nconst items = [{name: 'a', value: 1}, {name: 'b', value: 2}];\nconsole.log(items);\n// May print unhelpfully\n\n// GOOD — format as table:\nconst items = [{name: 'a', value: 1}, {name: 'b', value: 2}];\nconsole.log('Name  | Value');\nconsole.log('------|------');\nitems.forEach(i => console.log(`${i.name.padEnd(5)} | ${i.value}`));\n// Or use JSON.stringify:\nconsole.log(JSON.stringify(items, null, 2));\n```\n\n**Rule:** Always use `JSON.stringify(data, null, 2)` for objects/arrays in JavaScript, or format as a readable table. In Python, use `json.dumps(data, indent=2)` or `pprint.pprint(data)`.\n\n---\n\n## 6. Timeout Too Short for Network Operations\n\n**Problem:** Default timeout may be too short for API calls, builds, or test suites.\n\n```\nBAD — will timeout on API calls:\n  Tool: execute\n  code: |\n    const resp = await fetch('https://api.slow-service.com/data');\n    console.log(await resp.json());\n  language: javascript\n  timeout_ms: 5000  ← API may take 10+ seconds\n\nGOOD — generous timeout for network:\n  Tool: execute\n  code: |\n    const resp = await fetch('https://api.slow-service.com/data');\n    console.log(JSON.stringify(await resp.json(), null, 2));\n  language: javascript\n  timeout_ms: 30000  ← 30 seconds for network calls\n```\n\n**Recommended timeouts:**\n| Operation | timeout_ms |\n|-----------|-----------|\n| File reading/parsing | 5000 - 10000 |\n| Local computation | 10000 |\n| Single API request | 15000 - 30000 |\n| Paginated API calls | 30000 - 60000 |\n| npm install / build | 120000 |\n| Full test suite | 120000 - 300000 |\n\n**Rule:** Always consider what your script does and set `timeout_ms` accordingly. Network calls and builds need significantly more time than file operations.\n\n---\n\n## 7. Not Using summary_prompt Effectively\n\n**Problem:** Without a good `summary_prompt`, the LLM summarization may focus on irrelevant details.\n\n```\nBAD — vague or missing summary_prompt:\n  summary_prompt: \"Summarize this\"\n  → May focus on the wrong aspects\n\nGOOD — specific and actionable:\n  summary_prompt: \"Report the count of failing tests, list each failure with its file path and error message, and identify any patterns in the failures\"\n```\n\n**Tips for effective summary_prompt:**\n- Be specific about what data points you need\n- Ask for counts and metrics, not just descriptions\n- Request actionable insights (\"suggest fixes\", \"identify patterns\")\n- Mention the format you want (\"list as bullet points\", \"group by category\")\n\n---\n\n## 8. `ctx_execute` Captures, `ctx_search` Filters — Don't Merge the Layers\n\n`ctx_execute` and `ctx_search` are two layers, not one. `ctx_execute` exists to **capture** full output into the index. `ctx_search` exists to **filter** what was captured. When you narrow the output *inside* `ctx_execute` — at the shell layer, in script logic, anywhere upstream of capture — the dropped lines never reach the index. `ctx_search` cannot recover what was never written. You've spent the capture budget and lost the data you'd want to query later, for no context-window benefit: large stdout is already auto-indexed, not returned inline.\n\nThe mental model:\n\n```\n┌──────────────────────┐      ┌──────────────────────┐\n│   ctx_execute        │ ───▶ │   ctx_search         │\n│   (capture layer)    │      │   (filter layer)     │\n│                      │      │                      │\n│   produces full      │      │   queries the        │\n│   output into index  │      │   captured index     │\n└──────────────────────┘      └──────────────────────┘\n        ▲                              ▲\n        │                              │\n   Job: capture                   Job: narrow\n   Do NOT narrow here.            Do all narrowing here.\n```\n\n**Rule:** Treat `ctx_execute`'s output as write-once to the index. Run the command in full and let it index. Do every narrowing step downstream, via `ctx_search`. If you find yourself trimming inside `ctx_execute`, you are doing the filter layer's job in the capture layer — stop and move the narrowing to a `ctx_search` call.\n\n**Why the layer separation matters:** the index is what survives across calls and across sessions. Anything you discard before the index is gone permanently from this session's queryable surface. Anything you keep is queryable, repeatedly, with different questions, at zero re-execution cost.\n\n---\n\n## Summary Checklist\n\nBefore using `execute`, verify:\n\n- [ ] Output will be > 20 lines (otherwise use Bash)\n- [ ] Script prints all results to stdout\n- [ ] Objects are serialized with JSON.stringify / json.dumps\n- [ ] Timeout matches the operation type\n- [ ] Language matches the task (JS for JSON/API, Python for data, Shell for pipes)\n- [ ] summary_prompt is specific and actionable\n- [ ] Not loading a file into context that could be processed inside execute\n","skills/context-mode/references/patterns-javascript.md":"# JavaScript / TypeScript Patterns for execute\n\nPractical patterns for using `execute` with `language: javascript`.\nAll examples assume Node.js runtime with native fetch (Node 18+).\n\n---\n\n## API Response Processing\n\n### Fetch and summarize a REST API\n\n```javascript\n// execute: Analyze API health endpoint\nconst resp = await fetch('https://api.example.com/health');\nconst data = await resp.json();\n\nconsole.log('=== Service Health ===');\nconsole.log(`Status: ${data.status}`);\nconsole.log(`Uptime: ${data.uptime}`);\nconsole.log(`Timestamp: ${data.timestamp}`);\n\nif (data.services) {\n  console.log('\\n=== Service Components ===');\n  for (const [name, info] of Object.entries(data.services)) {\n    console.log(`  ${name}: ${info.status} (latency: ${info.latency_ms}ms)`);\n  }\n}\n\nif (data.errors && data.errors.length > 0) {\n  console.log('\\n=== Recent Errors ===');\n  data.errors.slice(0, 10).forEach(e => {\n    console.log(`  [${e.timestamp}] ${e.code}: ${e.message}`);\n  });\n}\n```\n> summary_prompt: \"Report overall health, list any degraded services, and highlight errors\"\n\n### Paginated API collection\n\n```javascript\n// execute: Fetch all open issues from GitHub API\nconst owner = 'org';\nconst repo = 'project';\nlet page = 1;\nlet allIssues = [];\n\nwhile (true) {\n  const resp = await fetch(\n    `https://api.github.com/repos/${owner}/${repo}/issues?state=open&per_page=100&page=${page}`,\n    { headers: { 'Accept': 'application/vnd.github.v3+json' } }\n  );\n  const issues = await resp.json();\n  if (issues.length === 0) break;\n  allIssues.push(...issues);\n  page++;\n}\n\nconsole.log(`Total open issues: ${allIssues.length}\\n`);\n\n// Group by labels\nconst byLabel = {};\nallIssues.forEach(issue => {\n  issue.labels.forEach(label => {\n    byLabel[label.name] = (byLabel[label.name] || 0) + 1;\n  });\n});\n\nconsole.log('=== Issues by Label ===');\nObject.entries(byLabel)\n  .sort((a, b) => b[1] - a[1])\n  .forEach(([label, count]) => console.log(`  ${label}: ${count}`));\n\n// Oldest issues\nconsole.log('\\n=== 10 Oldest Issues ===');\nallIssues\n  .sort((a, b) => new Date(a.created_at) - new Date(b.created_at))\n  .slice(0, 10)\n  .forEach(i => console.log(`  #${i.number} (${i.created_at.slice(0,10)}): ${i.title}`));\n```\n> summary_prompt: \"Summarize issue distribution by label, highlight stale issues, suggest priorities\"\n> timeout_ms: 30000\n\n---\n\n## JSON Data Analysis\n\n### Analyze a large JSON config file\n\n```javascript\nconst fs = require('fs');\nconst data = JSON.parse(fs.readFileSync('tsconfig.json', 'utf8'));\n\nconsole.log('=== TSConfig Analysis ===');\nconsole.log(`Target: ${data.compilerOptions?.target}`);\nconsole.log(`Module: ${data.compilerOptions?.module}`);\nconsole.log(`Strict: ${data.compilerOptions?.strict}`);\nconsole.log(`Paths aliases: ${Object.keys(data.compilerOptions?.paths || {}).length}`);\n\nif (data.compilerOptions?.paths) {\n  console.log('\\n=== Path Aliases ===');\n  for (const [alias, targets] of Object.entries(data.compilerOptions.paths)) {\n    console.log(`  ${alias} -> ${targets.join(', ')}`);\n  }\n}\n\nif (data.include) console.log(`\\nInclude: ${data.include.join(', ')}`);\nif (data.exclude) console.log(`Exclude: ${data.exclude.join(', ')}`);\nif (data.references) {\n  console.log(`\\nProject References: ${data.references.length}`);\n  data.references.forEach(r => console.log(`  ${r.path}`));\n}\n```\n> summary_prompt: \"Report compiler strictness, module system, and any unusual configuration\"\n\n### Diff two JSON files\n\n```javascript\nconst fs = require('fs');\nconst a = JSON.parse(fs.readFileSync('config.prod.json', 'utf8'));\nconst b = JSON.parse(fs.readFileSync('config.staging.json', 'utf8'));\n\nfunction diffObjects(obj1, obj2, path = '') {\n  const allKeys = new Set([...Object.keys(obj1 || {}), ...Object.keys(obj2 || {})]);\n  for (const key of allKeys) {\n    const fullPath = path ? `${path}.${key}` : key;\n    if (!(key in (obj1 || {}))) {\n      console.log(`+ ${fullPath}: ${JSON.stringify(obj2[key])}`);\n    } else if (!(key in (obj2 || {}))) {\n      console.log(`- ${fullPath}: ${JSON.stringify(obj1[key])}`);\n    } else if (typeof obj1[key] === 'object' && typeof obj2[key] === 'object') {\n      diffObjects(obj1[key], obj2[key], fullPath);\n    } else if (JSON.stringify(obj1[key]) !== JSON.stringify(obj2[key])) {\n      console.log(`~ ${fullPath}: ${JSON.stringify(obj1[key])} -> ${JSON.stringify(obj2[key])}`);\n    }\n  }\n}\n\nconsole.log('=== Config Diff: prod vs staging ===');\ndiffObjects(a, b);\n```\n> summary_prompt: \"List all configuration differences between prod and staging environments\"\n\n---\n\n## Package.json / Lock File Analysis\n\n### Dependency audit\n\n```javascript\nconst fs = require('fs');\nconst pkg = JSON.parse(fs.readFileSync('package.json', 'utf8'));\n\nconst deps = Object.entries(pkg.dependencies || {});\nconst devDeps = Object.entries(pkg.devDependencies || {});\n\nconsole.log(`Package: ${pkg.name}@${pkg.version}`);\nconsole.log(`Dependencies: ${deps.length}`);\nconsole.log(`DevDependencies: ${devDeps.length}`);\n\n// Find non-pinned versions\nconsole.log('\\n=== Non-Pinned Dependencies ===');\n[...deps, ...devDeps].forEach(([name, version]) => {\n  if (version.startsWith('^') || version.startsWith('~') || version === '*') {\n    console.log(`  ${name}: ${version}`);\n  }\n});\n\n// Find duplicated categories\nconsole.log('\\n=== Scripts ===');\nObject.entries(pkg.scripts || {}).forEach(([name, cmd]) => {\n  console.log(`  ${name}: ${cmd}`);\n});\n\n// Workspace detection\nif (pkg.workspaces) {\n  console.log('\\n=== Monorepo Workspaces ===');\n  const ws = Array.isArray(pkg.workspaces) ? pkg.workspaces : pkg.workspaces.packages || [];\n  ws.forEach(w => console.log(`  ${w}`));\n}\n```\n> summary_prompt: \"Report dependency health: unpinned versions, total count, any security concerns from package names\"\n\n### Lock file drift detection\n\n```javascript\nconst fs = require('fs');\nconst pkg = JSON.parse(fs.readFileSync('package.json', 'utf8'));\n\nlet lockExists = { npm: false, yarn: false, pnpm: false };\ntry { fs.accessSync('package-lock.json'); lockExists.npm = true; } catch {}\ntry { fs.accessSync('yarn.lock'); lockExists.yarn = true; } catch {}\ntry { fs.accessSync('pnpm-lock.yaml'); lockExists.pnpm = true; } catch {}\n\nconsole.log('=== Lock File Status ===');\nObject.entries(lockExists).forEach(([mgr, exists]) => {\n  console.log(`  ${mgr}: ${exists ? 'PRESENT' : 'missing'}`);\n});\n\nconst activeLocks = Object.entries(lockExists).filter(([, v]) => v);\nif (activeLocks.length > 1) {\n  console.log('\\nWARNING: Multiple lock files detected! This causes inconsistent installs.');\n}\nif (activeLocks.length === 0) {\n  console.log('\\nWARNING: No lock file found! Dependencies are not reproducible.');\n}\n\n// Check engines\nif (pkg.engines) {\n  console.log('\\n=== Required Engines ===');\n  Object.entries(pkg.engines).forEach(([e, v]) => console.log(`  ${e}: ${v}`));\n}\n```\n> summary_prompt: \"Report lock file health and any warnings about package management\"\n\n---\n\n## File Content Parsing\n\n### Parse and summarize a large markdown file\n\n```javascript\nconst fs = require('fs');\nconst content = fs.readFileSync('CHANGELOG.md', 'utf8');\nconst lines = content.split('\\n');\n\nconst sections = [];\nlet currentSection = null;\n\nfor (const line of lines) {\n  if (line.startsWith('## ')) {\n    if (currentSection) sections.push(currentSection);\n    currentSection = { title: line.replace('## ', ''), items: 0, breaking: 0 };\n  } else if (currentSection && line.startsWith('- ')) {\n    currentSection.items++;\n    if (line.toLowerCase().includes('breaking') || line.toLowerCase().includes('BREAKING')) {\n      currentSection.breaking++;\n    }\n  }\n}\nif (currentSection) sections.push(currentSection);\n\nconsole.log(`Total versions: ${sections.length}\\n`);\nconsole.log('=== Recent Versions ===');\nsections.slice(0, 10).forEach(s => {\n  const warn = s.breaking > 0 ? ` [${s.breaking} BREAKING]` : '';\n  console.log(`  ${s.title}: ${s.items} changes${warn}`);\n});\n\nconst totalBreaking = sections.reduce((sum, s) => sum + s.breaking, 0);\nif (totalBreaking > 0) {\n  console.log(`\\nTotal breaking changes across all versions: ${totalBreaking}`);\n}\n```\n> summary_prompt: \"Summarize recent releases, highlight breaking changes, report release cadence\"\n\n---\n\n## Test Output Parsing\n\n### Run tests and extract failures\n\n```javascript\nconst { execSync } = require('child_process');\n\nlet output;\ntry {\n  output = execSync('npx jest --json 2>/dev/null', { encoding: 'utf8', maxBuffer: 50 * 1024 * 1024 });\n} catch (e) {\n  output = e.stdout || '';\n}\n\ntry {\n  const results = JSON.parse(output);\n  console.log(`=== Test Results ===`);\n  console.log(`Suites: ${results.numPassedTestSuites} passed, ${results.numFailedTestSuites} failed`);\n  console.log(`Tests:  ${results.numPassedTests} passed, ${results.numFailedTests} failed`);\n  console.log(`Time:   ${(results.testResults || []).reduce((s, t) => s + (t.endTime - t.startTime), 0)}ms`);\n\n  const failures = (results.testResults || []).filter(t => t.status === 'failed');\n  if (failures.length > 0) {\n    console.log('\\n=== Failed Tests ===');\n    failures.forEach(suite => {\n      console.log(`\\nSuite: ${suite.name}`);\n      (suite.assertionResults || [])\n        .filter(a => a.status === 'failed')\n        .forEach(a => {\n          console.log(`  FAIL: ${a.ancestorTitles.join(' > ')} > ${a.title}`);\n          console.log(`    ${(a.failureMessages || []).join('\\n    ').slice(0, 200)}`);\n        });\n    });\n  }\n} catch {\n  console.log('Could not parse JSON output. Raw output:');\n  console.log(output.slice(0, 5000));\n}\n```\n> summary_prompt: \"Report test pass/fail counts, list each failing test with its error message\"\n> timeout_ms: 60000\n","skills/context-mode/references/patterns-python.md":"# Python Patterns for execute\n\nPractical patterns for using `execute` with `language: python`.\nAll examples use Python standard library only (no pip installs required).\n\n---\n\n## Data Processing with json Module\n\n### Analyze a large JSON dataset\n\n```python\nimport json\n\nwith open('data/users.json') as f:\n    users = json.load(f)\n\nprint(f\"Total users: {len(users)}\")\n\n# Group by status\nfrom collections import Counter\nstatuses = Counter(u.get('status', 'unknown') for u in users)\nprint(\"\\n=== Users by Status ===\")\nfor status, count in statuses.most_common():\n    print(f\"  {status}: {count}\")\n\n# Find anomalies\ninactive_with_recent = [\n    u for u in users\n    if u.get('status') == 'inactive' and u.get('last_login', '') > '2025-01-01'\n]\nif inactive_with_recent:\n    print(f\"\\n=== Anomaly: {len(inactive_with_recent)} inactive users with recent logins ===\")\n    for u in inactive_with_recent[:10]:\n        print(f\"  {u['email']} - last login: {u['last_login']}\")\n\n# Field completeness\nfields = ['name', 'email', 'phone', 'address']\nprint(\"\\n=== Field Completeness ===\")\nfor field in fields:\n    filled = sum(1 for u in users if u.get(field))\n    pct = (filled / len(users)) * 100 if users else 0\n    print(f\"  {field}: {filled}/{len(users)} ({pct:.1f}%)\")\n```\n> summary_prompt: \"Report user distribution, data quality issues, and any anomalies found\"\n\n### Merge and compare two JSON configs\n\n```python\nimport json\n\nwith open('config.default.json') as f:\n    defaults = json.load(f)\nwith open('config.local.json') as f:\n    local = json.load(f)\n\ndef compare(d1, d2, path=\"\"):\n    diffs = []\n    all_keys = set(list(d1.keys()) + list(d2.keys()))\n    for key in sorted(all_keys):\n        full_path = f\"{path}.{key}\" if path else key\n        if key not in d1:\n            diffs.append(f\"  + {full_path} = {json.dumps(d2[key])}\")\n        elif key not in d2:\n            diffs.append(f\"  - {full_path} = {json.dumps(d1[key])}\")\n        elif isinstance(d1[key], dict) and isinstance(d2[key], dict):\n            diffs.extend(compare(d1[key], d2[key], full_path))\n        elif d1[key] != d2[key]:\n            diffs.append(f\"  ~ {full_path}: {json.dumps(d1[key])} -> {json.dumps(d2[key])}\")\n    return diffs\n\ndiffs = compare(defaults, local)\nprint(f\"Config differences: {len(diffs)}\")\nif diffs:\n    print(\"\\n=== Changes (local overrides) ===\")\n    for d in diffs:\n        print(d)\nelse:\n    print(\"No differences found — local matches defaults.\")\n```\n> summary_prompt: \"List all local config overrides and flag any potentially dangerous changes\"\n\n---\n\n## CSV / Log File Analysis\n\n### Analyze a CSV file\n\n```python\nimport csv\nfrom collections import Counter, defaultdict\nfrom datetime import datetime\n\nwith open('data/transactions.csv') as f:\n    reader = csv.DictReader(f)\n    rows = list(reader)\n\nprint(f\"Total records: {len(rows)}\")\nprint(f\"Columns: {', '.join(rows[0].keys()) if rows else 'none'}\")\n\n# Summary statistics for numeric column\namounts = [float(r['amount']) for r in rows if r.get('amount')]\nif amounts:\n    print(f\"\\n=== Amount Statistics ===\")\n    print(f\"  Min:    ${min(amounts):,.2f}\")\n    print(f\"  Max:    ${max(amounts):,.2f}\")\n    print(f\"  Mean:   ${sum(amounts)/len(amounts):,.2f}\")\n    print(f\"  Median: ${sorted(amounts)[len(amounts)//2]:,.2f}\")\n    print(f\"  Total:  ${sum(amounts):,.2f}\")\n\n# Group by category\nif 'category' in rows[0]:\n    by_cat = defaultdict(list)\n    for r in rows:\n        by_cat[r['category']].append(float(r.get('amount', 0)))\n    print(\"\\n=== By Category ===\")\n    for cat, vals in sorted(by_cat.items(), key=lambda x: -sum(x[1])):\n        print(f\"  {cat}: {len(vals)} txns, total ${sum(vals):,.2f}\")\n```\n> summary_prompt: \"Summarize transaction patterns, highlight outliers, report category distribution\"\n\n### Parse application logs\n\n```python\nimport re\nfrom collections import Counter\nfrom datetime import datetime\n\nerror_pattern = re.compile(r'\\[(\\d{4}-\\d{2}-\\d{2} \\d{2}:\\d{2}:\\d{2})\\] (\\w+): (.+)')\n\nlevels = Counter()\nerrors_by_type = Counter()\nhourly = Counter()\n\nwith open('app.log') as f:\n    for line in f:\n        match = error_pattern.match(line.strip())\n        if match:\n            timestamp, level, message = match.groups()\n            levels[level] += 1\n            hour = timestamp[:13]\n            hourly[hour] += 1\n            if level in ('ERROR', 'FATAL'):\n                # Extract error class\n                err_type = message.split(':')[0].strip()\n                errors_by_type[err_type] += 1\n\nprint(\"=== Log Level Distribution ===\")\nfor level, count in levels.most_common():\n    print(f\"  {level}: {count}\")\n\nprint(\"\\n=== Top Error Types ===\")\nfor err, count in errors_by_type.most_common(10):\n    print(f\"  {err}: {count}\")\n\nprint(\"\\n=== Hourly Activity (last 24h) ===\")\nfor hour, count in sorted(hourly.items())[-24:]:\n    bar = '#' * min(count // 10, 50)\n    print(f\"  {hour}: {count:>5} {bar}\")\n```\n> summary_prompt: \"Report error rates, identify the most common failures, and note any traffic spikes\"\n\n---\n\n## Text Extraction and Summarization\n\n### Extract TODOs and FIXMEs from codebase\n\n```python\nimport os\nimport re\n\npattern = re.compile(r'(TODO|FIXME|HACK|XXX|WARN)[:\\s](.+)', re.IGNORECASE)\nresults = []\n\nfor root, dirs, files in os.walk('src'):\n    # Skip node_modules and hidden dirs\n    dirs[:] = [d for d in dirs if not d.startswith('.') and d != 'node_modules']\n    for fname in files:\n        if fname.endswith(('.ts', '.tsx', '.js', '.jsx', '.py')):\n            filepath = os.path.join(root, fname)\n            with open(filepath) as f:\n                for i, line in enumerate(f, 1):\n                    match = pattern.search(line)\n                    if match:\n                        results.append({\n                            'file': filepath,\n                            'line': i,\n                            'type': match.group(1).upper(),\n                            'text': match.group(2).strip()\n                        })\n\nfrom collections import Counter\nby_type = Counter(r['type'] for r in results)\n\nprint(f\"Total annotations found: {len(results)}\\n\")\nprint(\"=== By Type ===\")\nfor t, c in by_type.most_common():\n    print(f\"  {t}: {c}\")\n\nprint(\"\\n=== All Items ===\")\nfor r in results:\n    print(f\"  [{r['type']}] {r['file']}:{r['line']} — {r['text'][:100]}\")\n```\n> summary_prompt: \"Categorize TODOs by urgency, group by file area, suggest which to address first\"\n\n### Summarize a large text/markdown file\n\n```python\nwith open('ARCHITECTURE.md') as f:\n    content = f.read()\n\nlines = content.split('\\n')\nprint(f\"Total lines: {len(lines)}\")\nprint(f\"Total words: {len(content.split())}\")\n\n# Extract structure\nheadings = [(i+1, line) for i, line in enumerate(lines) if line.startswith('#')]\nprint(f\"Sections: {len(headings)}\\n\")\n\nprint(\"=== Document Structure ===\")\nfor line_num, heading in headings:\n    level = len(heading) - len(heading.lstrip('#'))\n    indent = '  ' * (level - 1)\n    print(f\"  {indent}{heading.strip()} (line {line_num})\")\n\n# Extract code blocks\nimport re\ncode_blocks = re.findall(r'```(\\w+)?', content)\nif code_blocks:\n    from collections import Counter\n    langs = Counter(b for b in code_blocks if b)\n    print(f\"\\n=== Code Blocks: {len(code_blocks)} total ===\")\n    for lang, count in langs.most_common():\n        print(f\"  {lang}: {count}\")\n\n# Print first 50 lines for content preview\nprint(\"\\n=== Content Preview (first 50 lines) ===\")\nfor line in lines[:50]:\n    print(line)\n```\n> summary_prompt: \"Summarize the document structure, key architectural decisions, and main components described\"\n\n---\n\n## File Comparison\n\n### Compare two source files\n\n```python\nimport difflib\n\nwith open('src/auth/login.ts') as f:\n    old_lines = f.readlines()\nwith open('src/auth/login.new.ts') as f:\n    new_lines = f.readlines()\n\ndiff = list(difflib.unified_diff(old_lines, new_lines, fromfile='login.ts', tofile='login.new.ts', lineterm=''))\n\nadditions = sum(1 for l in diff if l.startswith('+') and not l.startswith('+++'))\ndeletions = sum(1 for l in diff if l.startswith('-') and not l.startswith('---'))\n\nprint(f\"Changes: +{additions} -{deletions}\\n\")\n\nif diff:\n    print(\"=== Diff ===\")\n    for line in diff:\n        print(line)\nelse:\n    print(\"Files are identical.\")\n```\n> summary_prompt: \"Describe the functional changes between the old and new versions\"\n\n### Find duplicate content across files\n\n```python\nimport os\nimport hashlib\nfrom collections import defaultdict\n\nfile_hashes = defaultdict(list)\n\nfor root, dirs, files in os.walk('src'):\n    dirs[:] = [d for d in dirs if not d.startswith('.') and d != 'node_modules']\n    for fname in files:\n        if fname.endswith(('.ts', '.tsx', '.js', '.jsx')):\n            filepath = os.path.join(root, fname)\n            with open(filepath, 'rb') as f:\n                content_hash = hashlib.md5(f.read()).hexdigest()\n            file_hashes[content_hash].append(filepath)\n\nduplicates = {h: files for h, files in file_hashes.items() if len(files) > 1}\n\nif duplicates:\n    print(f\"Found {len(duplicates)} sets of duplicate files:\\n\")\n    for h, files in duplicates.items():\n        print(f\"  Hash: {h[:8]}...\")\n        for f in files:\n            print(f\"    {f}\")\n        print()\nelse:\n    print(\"No duplicate files found.\")\n```\n> summary_prompt: \"List all duplicate files and suggest which copies to remove\"\n","skills/context-mode/references/patterns-shell.md":"# Shell Patterns for execute\n\nPractical patterns for using `execute` with `language: shell`.\nBest for piping, filtering, and leveraging native OS tools.\n\n---\n\n## Build Output Filtering\n\n### Capture build errors only\n\n```shell\nnpm run build 2>&1 | tee /tmp/build-output.txt\nEXIT_CODE=${PIPESTATUS[0]}\n\necho \"=== Build Result ===\"\necho \"Exit code: $EXIT_CODE\"\n\nif [ \"$EXIT_CODE\" -ne 0 ]; then\n  echo \"\"\n  echo \"=== Errors ===\"\n  grep -iE '(error|failed|FAIL)' /tmp/build-output.txt | head -50\n  echo \"\"\n  echo \"=== Warnings ===\"\n  grep -iE '(warning|warn)' /tmp/build-output.txt | head -20\nelse\n  echo \"Build succeeded.\"\n  echo \"\"\n  echo \"=== Warnings (if any) ===\"\n  grep -iE '(warning|warn)' /tmp/build-output.txt | head -10\nfi\n\necho \"\"\necho \"=== Output Size ===\"\nwc -l < /tmp/build-output.txt | xargs -I{} echo \"{} total lines of output\"\nrm -f /tmp/build-output.txt\n```\n> summary_prompt: \"Report build success/failure, list all errors with file paths, and count warnings\"\n> timeout_ms: 120000\n\n### TypeScript compilation check\n\n```shell\nnpx tsc --noEmit 2>&1 | tee /tmp/tsc-output.txt\nEXIT_CODE=${PIPESTATUS[0]}\n\necho \"=== TypeScript Check ===\"\necho \"Exit code: $EXIT_CODE\"\n\nTOTAL_ERRORS=$(grep -c 'error TS' /tmp/tsc-output.txt 2>/dev/null || echo 0)\necho \"Total errors: $TOTAL_ERRORS\"\n\nif [ \"$TOTAL_ERRORS\" -gt 0 ]; then\n  echo \"\"\n  echo \"=== Errors by Code ===\"\n  grep -oP 'error TS\\d+' /tmp/tsc-output.txt | sort | uniq -c | sort -rn | head -20\n\n  echo \"\"\n  echo \"=== Errors by File ===\"\n  grep 'error TS' /tmp/tsc-output.txt | cut -d'(' -f1 | sort | uniq -c | sort -rn | head -20\n\n  echo \"\"\n  echo \"=== First 30 Errors ===\"\n  grep 'error TS' /tmp/tsc-output.txt | head -30\nfi\n\nrm -f /tmp/tsc-output.txt\n```\n> summary_prompt: \"Report type error count, most common error codes, and most affected files\"\n> timeout_ms: 60000\n\n---\n\n## Test Result Summarization\n\n### Jest test summary\n\n```shell\nnpx jest --verbose 2>&1 | tee /tmp/test-output.txt\nEXIT_CODE=${PIPESTATUS[0]}\n\necho \"\"\necho \"=== Test Summary ===\"\necho \"Exit code: $EXIT_CODE\"\n\n# Extract summary line\ngrep -E '(Tests:|Test Suites:|Snapshots:|Time:)' /tmp/test-output.txt\n\necho \"\"\necho \"=== Failed Tests ===\"\ngrep -A 2 'FAIL ' /tmp/test-output.txt | head -40\n\necho \"\"\necho \"=== Slow Tests (if reported) ===\"\ngrep -i 'slow' /tmp/test-output.txt | head -10\n\nrm -f /tmp/test-output.txt\n```\n> summary_prompt: \"Report pass/fail ratio, list all failing test names with suite, note any slow tests\"\n> timeout_ms: 120000\n\n### Pytest summary\n\n```shell\npython -m pytest --tb=short -q 2>&1 | tee /tmp/pytest-output.txt\nEXIT_CODE=${PIPESTATUS[0]}\n\necho \"\"\necho \"=== Pytest Summary ===\"\necho \"Exit code: $EXIT_CODE\"\n\n# Last 20 lines usually contain the summary\ntail -20 /tmp/pytest-output.txt\n\necho \"\"\necho \"=== Failures ===\"\ngrep -E '(FAILED|ERROR)' /tmp/pytest-output.txt | head -30\n\nrm -f /tmp/pytest-output.txt\n```\n> summary_prompt: \"Report test results, list all failures with file and test name\"\n> timeout_ms: 120000\n\n---\n\n## Log File Analysis\n\n### Filter application logs by severity\n\n```shell\nLOG_FILE=\"${1:-/var/log/app.log}\"\n\necho \"=== Log File: $LOG_FILE ===\"\necho \"Total lines: $(wc -l < \"$LOG_FILE\")\"\necho \"\"\n\necho \"=== Level Distribution ===\"\ngrep -oE '\\b(DEBUG|INFO|WARN|ERROR|FATAL)\\b' \"$LOG_FILE\" | sort | uniq -c | sort -rn\n\necho \"\"\necho \"=== Last 20 Errors ===\"\ngrep -i 'ERROR\\|FATAL' \"$LOG_FILE\" | tail -20\n\necho \"\"\necho \"=== Error Timeline (hourly) ===\"\ngrep -i 'ERROR' \"$LOG_FILE\" | grep -oE '\\d{4}-\\d{2}-\\d{2} \\d{2}' | sort | uniq -c | tail -24\n```\n> summary_prompt: \"Report error frequency, identify patterns, and note any error spikes\"\n\n### Analyze access logs\n\n```shell\nLOG_FILE=\"${1:-/var/log/access.log}\"\n\necho \"=== Access Log Summary ===\"\necho \"Total requests: $(wc -l < \"$LOG_FILE\")\"\n\necho \"\"\necho \"=== HTTP Status Codes ===\"\nawk '{print $9}' \"$LOG_FILE\" | sort | uniq -c | sort -rn | head -10\n\necho \"\"\necho \"=== Top 20 Paths ===\"\nawk '{print $7}' \"$LOG_FILE\" | sort | uniq -c | sort -rn | head -20\n\necho \"\"\necho \"=== Top 10 IPs ===\"\nawk '{print $1}' \"$LOG_FILE\" | sort | uniq -c | sort -rn | head -10\n\necho \"\"\necho \"=== 5xx Errors ===\"\nawk '$9 ~ /^5/' \"$LOG_FILE\" | tail -20\n\necho \"\"\necho \"=== Requests per Hour ===\"\nawk '{print $4}' \"$LOG_FILE\" | cut -d: -f1-2 | sort | uniq -c | tail -24\n```\n> summary_prompt: \"Report traffic patterns, error rates, most hit endpoints, and suspicious IPs\"\n\n---\n\n## Directory Size and Structure Analysis\n\n### Project structure overview\n\n```shell\necho \"=== Directory Structure ===\"\nfind . -maxdepth 3 -type d \\\n  ! -path '*/node_modules/*' \\\n  ! -path '*/.git/*' \\\n  ! -path '*/dist/*' \\\n  ! -path '*/.next/*' \\\n  ! -path '*/__pycache__/*' \\\n  | sort\n\necho \"\"\necho \"=== File Type Distribution ===\"\nfind . -type f \\\n  ! -path '*/node_modules/*' \\\n  ! -path '*/.git/*' \\\n  ! -path '*/dist/*' \\\n  | sed 's/.*\\.//' | sort | uniq -c | sort -rn | head -20\n\necho \"\"\necho \"=== Largest Files (top 20) ===\"\nfind . -type f \\\n  ! -path '*/node_modules/*' \\\n  ! -path '*/.git/*' \\\n  -exec ls -la {} \\; | sort -k5 -rn | head -20 | awk '{print $5, $9}'\n\necho \"\"\necho \"=== Directory Sizes ===\"\ndu -sh */ 2>/dev/null | sort -rh | head -15\n```\n> summary_prompt: \"Describe the project structure, identify large files that may need attention, report file type distribution\"\n\n### Disk usage investigation\n\n```shell\necho \"=== Top-Level Disk Usage ===\"\ndu -sh */ 2>/dev/null | sort -rh\n\necho \"\"\necho \"=== node_modules Size ===\"\nif [ -d \"node_modules\" ]; then\n  du -sh node_modules\n  echo \"\"\n  echo \"=== Largest node_modules packages ===\"\n  du -sh node_modules/*/ 2>/dev/null | sort -rh | head -20\nelse\n  echo \"No node_modules directory\"\nfi\n\necho \"\"\necho \"=== Build Artifacts ===\"\nfor dir in dist build .next out .cache; do\n  if [ -d \"$dir\" ]; then\n    echo \"  $dir: $(du -sh \"$dir\" | cut -f1)\"\n  fi\ndone\n\necho \"\"\necho \"=== Git Objects Size ===\"\nif [ -d \".git\" ]; then\n  du -sh .git\nfi\n```\n> summary_prompt: \"Report total project size, largest contributors, and recommend cleanup targets\"\n\n---\n\n## Git Analysis\n\n### Commit activity analysis\n\n```shell\necho \"=== Recent Commits (last 30 days) ===\"\ngit log --since=\"30 days ago\" --oneline | wc -l | xargs -I{} echo \"{} commits in last 30 days\"\n\necho \"\"\necho \"=== Commits by Author ===\"\ngit shortlog -sn --since=\"30 days ago\" | head -15\n\necho \"\"\necho \"=== Most Changed Files (last 30 days) ===\"\ngit log --since=\"30 days ago\" --pretty=format: --name-only | sort | uniq -c | sort -rn | head -20\n\necho \"\"\necho \"=== Branches ===\"\necho \"Local: $(git branch | wc -l | xargs)\"\necho \"Remote: $(git branch -r | wc -l | xargs)\"\n\necho \"\"\necho \"=== Stale Branches (merged, excluding main/master) ===\"\ngit branch --merged main 2>/dev/null | grep -v 'main\\|master\\|\\*' | head -10\n```\n> summary_prompt: \"Report development velocity, active contributors, hotspot files, and cleanup opportunities\"\n","skills/ctx-doctor/SKILL.md":"---\nname: ctx-doctor\ndescription: |\n  Run context-mode diagnostics. Checks runtimes, hooks, FTS5,\n  plugin registration, npm and marketplace versions.\n  Trigger: /context-mode:ctx-doctor\nuser-invocable: true\n---\n\n# Context Mode Doctor\n\nRun diagnostics and display results directly in the conversation.\n\n## Instructions\n\n1. Call the `ctx_doctor` MCP tool directly. It runs all checks server-side and returns a plain-text status report.\n2. Display the results verbatim — they are already formatted with plain-text status prefixes: `[OK]` PASS, `[FAIL]` FAIL, `[WARN]` WARN. Renderer-safe (no markdown task-list syntax) for cross-client compatibility (e.g., Z.ai GLM).\n3. **Fallback** (only if MCP tool call fails): Derive the **plugin root** from this skill's base directory (go up 2 levels — remove `/skills/ctx-doctor`), then run with Bash:\n   ```\n   CLI=\"<PLUGIN_ROOT>/cli.bundle.mjs\"; [ ! -f \"$CLI\" ] && CLI=\"<PLUGIN_ROOT>/build/cli.js\"; node \"$CLI\" doctor\n   ```\n   Re-display results verbatim with the same `[OK]`/`[FAIL]`/`[WARN]` prefixes.\n","skills/ctx-index/SKILL.md":"---\nname: ctx-index\ndescription: |\n  Index a local file or directory into context-mode's persistent FTS5 knowledge base\n  so future ctx_search calls can retrieve focused snippets without rereading raw files.\n  Trigger: /context-mode:ctx-index\nuser-invocable: true\n---\n\n# Context Mode Index\n\nIndex local project content for later search.\n\n## Instructions\n\n1. Prefer the `ctx_index` MCP tool when it is available.\n2. Ask for a path only if the user did not provide one and the current project root is ambiguous.\n3. Use `path`, not large inline `content`, so file bytes do not enter the conversation.\n4. For repository indexing, pass conservative bounds and a clear source label:\n\n```javascript\nctx_index({\n  path: \".\",\n  source: \"project:<name>\",\n  maxDepth: 5,\n  maxFiles: 200\n})\n```\n\n5. If MCP tools are unavailable, fall back to the CLI:\n\n```bash\ncontext-mode index . --source project:<name>\n```\n\n6. Report the indexed source label, file count or section count, and the matching search command:\n\n```javascript\nctx_search({ source: \"project:<name>\", queries: [\"...\"] })\n```\n\n## Safety\n\n- Do not index dependency directories, build outputs, secrets, or generated artifacts.\n- Prefer `--exclude` or `exclude` for project-specific noisy paths.\n- For broad repos, ask the user before raising `maxFiles` above 500.\n","skills/ctx-insight/SKILL.md":"---\nname: ctx-insight\ndescription: |\n  Open the context-mode Insight dashboard in your default browser.\n  Insight is the hosted analytics layer for AI-assisted engineering teams —\n  per-engineer productive rate, retry waste, blocker detection, role-narrowed views.\n  Trigger: /context-mode:ctx-insight\nuser-invocable: true\n---\n\n# Context Mode Insight\n\nOpen the hosted Insight dashboard in the user's default browser.\n\n## Instructions\n\n1. Call the `ctx_insight` MCP tool (no parameters). It opens\n   <https://context-mode.com/insight> in the default browser and returns a\n   confirmation line.\n2. Display the tool's output to the user.\n3. Tell the user:\n   - \"Insight opened at https://context-mode.com/insight\"\n   - The landing page at context-mode.com/insight is the single source of truth for sign-in and pricing details.\n   - If the browser did not open automatically, share the URL so they can open it manually.\n","skills/ctx-purge/SKILL.md":"---\nname: ctx-purge\ndescription: |\n  Purge the context-mode knowledge base. Permanently deletes all indexed content\n  and resets session stats. This is destructive and cannot be undone.\n  Trigger: /context-mode:ctx-purge\nuser-invocable: true\n---\n\n# Context Mode Purge\n\nPermanently deletes session data for this project. Two scopes are supported (issue #520):\n\n- **Project scope** (`scope: \"project\"`): wipes EVERYTHING — knowledge base, all session DB rows for every session, events markdown, and stats.\n- **Session scope** (`sessionId: \"<id>\"` or `scope: \"session\"`): wipes ONLY the matching session's rows + FTS5 chunks. Sibling sessions, project stats, and the FTS5 store file are preserved.\n\n## Instructions\n\n1. **Decide the scope first** with the user:\n   - \"Wipe just one session?\" → ask for the `sessionId`.\n   - \"Wipe the whole project?\" → confirm scope:'project' (this is the destructive, irreversible default).\n2. **Warn the user about scope:'project'**. Everything will be deleted:\n   - FTS5 knowledge base (all indexed content from `ctx_index`, `ctx_fetch_and_index`, `ctx_batch_execute`)\n   - Session events DB (analytics, metadata, resume snapshots) for ALL sessions in the project\n   - Session events markdown file\n   - In-memory session stats + persisted stats file\n3. Call the `mcp__context-mode__ctx_purge` MCP tool with the chosen parameters:\n   - Scoped: `{ confirm: true, sessionId: \"<id>\" }` — implies scope:'session'.\n   - Project: `{ confirm: true, scope: \"project\" }` — explicit destructive form.\n   - Bare `{ confirm: true }` still works but emits a deprecation warning. Prefer the explicit forms.\n4. Report the result to the user — the response lists exactly what was deleted and (for scoped purges) confirms that other sessions and project stats were preserved.\n\n## Schema rules\n\n- `confirm: true` is always required.\n- `sessionId` and `scope: \"project\"` together is REJECTED as ambiguous (the sessionId implies session scope; combining with project scope contradicts intent).\n- `scope: \"session\"` without `sessionId` throws — sessionId is required.\n\n## When to Use\n\n- **Scoped (per-session)**: scratch acceptance scenarios, drill replays, isolating a polluted session without losing the main working session's stats.\n- **Project**: KB contains stale or incorrect content polluting search results, switching between unrelated projects in the same session, completely fresh start.\n\n## Important\n\n- `ctx_purge` is the **only** way to delete session data. No other mechanism exists.\n- `ctx_stats` is read-only — shows statistics only.\n- `/clear` and `/compact` do NOT affect any context-mode data.\n- There is no undo. Re-index content if you need it again.\n","skills/ctx-search/SKILL.md":"---\nname: ctx-search\ndescription: |\n  Search context-mode's persistent FTS5 knowledge base for previously indexed\n  local project content, documentation, or session memory.\n  Trigger: /context-mode:ctx-search\nuser-invocable: true\n---\n\n# Context Mode Search\n\nSearch indexed content without rereading raw sources into conversation context.\n\n## Instructions\n\n1. Prefer the `ctx_search` MCP tool when it is available.\n2. Batch all related questions in one `queries` array.\n3. Scope with `source` when the user names a project or indexed label.\n4. Use short, specific queries of two to four technical terms.\n\n```javascript\nctx_search({\n  source: \"project:<name>\",\n  queries: [\"authentication middleware\", \"token refresh\"],\n  limit: 5\n})\n```\n\n5. If MCP tools are unavailable, fall back to the CLI:\n\n```bash\ncontext-mode search \"authentication middleware\" --source project:<name> --limit 5\n```\n\n6. If the index is empty, tell the user to run `/context-mode:ctx-index` or `context-mode index <path>` first.\n","skills/ctx-stats/SKILL.md":"---\nname: ctx-stats\ndescription: |\n  Show how much context window context-mode saved this session.\n  Displays token consumption, context savings ratio, and per-tool breakdown.\n  Read-only — shows stats only, no reset capability.\n  To wipe the knowledge base entirely, use ctx_purge instead.\n  Trigger: /context-mode:ctx-stats\nuser-invocable: true\n---\n\n# Context Mode Stats\n\nShow context savings for the current session.\n\n## Instructions\n\n1. Call the `mcp__context-mode__ctx_stats` MCP tool (no parameters needed).\n2. **CRITICAL**: You MUST copy-paste the ENTIRE tool output as markdown text directly into your response message. Do NOT summarize, do NOT collapse, do NOT paraphrase. The user must see the full tables without pressing ctrl+o. Copy every line exactly as returned by the tool.\n3. After the full output, add ONE sentence highlighting the key savings metric, e.g.:\n   - \"context-mode saved **12.4x** — 92% of data stayed in sandbox.\"\n   - If no data yet: \"No context-mode calls yet this session.\"\n\n## Purge\n\n- **`ctx_purge(confirm: true)`** — Permanently deletes all indexed content from the knowledge base. Use `/context-mode:ctx-purge` for this.\n","skills/ctx-upgrade/SKILL.md":"---\nname: ctx-upgrade\ndescription: |\n  Update context-mode from GitHub and fix hooks/settings.\n  Pulls latest, builds, installs, updates npm global, configures hooks.\n  Trigger: /context-mode:ctx-upgrade\nuser-invocable: true\n---\n\n# Context Mode Upgrade\n\nPull latest from GitHub and reinstall the plugin.\n\n## Instructions\n\n1. Call the `ctx_upgrade` MCP tool directly. It returns a shell command to execute.\n2. Run the returned command using your shell execution tool (Bash, shell_execute, etc.).\n3. Display results as a markdown checklist:\n   ```\n   ## context-mode upgrade\n   - [x] Pulled latest from GitHub\n   - [x] Built and installed v1.0.39\n   - [x] Hooks configured\n   - [x] Doctor: all checks PASS\n   ```\n   Use `[x]` for success, `[ ]` for failure. Show actual version numbers.\n4. Tell the user to **restart their session** to pick up the new version.\n5. **Fallback** (only if MCP tool call fails): Derive the **plugin root** from this skill's base directory (go up 2 levels — remove `/skills/ctx-upgrade`), then run with Bash:\n   ```\n   CLI=\"<PLUGIN_ROOT>/cli.bundle.mjs\"; [ ! -f \"$CLI\" ] && CLI=\"<PLUGIN_ROOT>/build/cli.js\"; node \"$CLI\" upgrade\n   ```\n"},"files":{".agents/plugins/marketplace.json":"{\n  \"name\": \"context-mode\",\n  \"interface\": {\n    \"displayName\": \"context-mode\"\n  },\n  \"plugins\": [\n    {\n      \"name\": \"context-mode\",\n      \"source\": {\n        \"source\": \"url\",\n        \"url\": \"./\"\n      },\n      \"policy\": {\n        \"installation\": \"AVAILABLE\",\n        \"authentication\": \"ON_INSTALL\"\n      },\n      \"category\": \"Productivity\"\n    }\n  ]\n}\n",".claude-plugin/marketplace.json":"{\n  \"name\": \"context-mode\",\n  \"owner\": {\n    \"name\": \"Mert Koseoğlu\",\n    \"email\": \"code.bm.ksglu@gmail.com\"\n  },\n  \"metadata\": {\n    \"description\": \"Claude Code plugins by Mert Koseoğlu\",\n    \"version\": \"1.0.169\"\n  },\n  \"plugins\": [\n    {\n      \"name\": \"context-mode\",\n      \"source\": \"./\",\n      \"description\": \"Claude Code MCP plugin that saves 98% of your context window. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and intent-driven search.\",\n      \"version\": \"1.0.169\",\n      \"author\": {\n        \"name\": \"Mert Koseoğlu\"\n      },\n      \"category\": \"development\",\n      \"keywords\": [\n        \"mcp\",\n        \"context-window\",\n        \"sandbox\",\n        \"code-execution\",\n        \"fts5\",\n        \"bm25\",\n        \"playwright\",\n        \"context7\"\n      ]\n    }\n  ]\n}\n",".claude-plugin/plugin.json":"{\n  \"name\": \"context-mode\",\n  \"version\": \"1.0.169\",\n  \"description\": \"MCP server that saves 98% of your context window with session continuity. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and automatic state restore across compactions.\",\n  \"author\": {\n    \"name\": \"Mert Koseoğlu\",\n    \"url\": \"https://github.com/mksglu\"\n  },\n  \"homepage\": \"https://github.com/mksglu/context-mode#readme\",\n  \"repository\": \"https://github.com/mksglu/context-mode\",\n  \"license\": \"Elastic-2.0\",\n  \"keywords\": [\n    \"mcp\",\n    \"context-window\",\n    \"sandbox\",\n    \"code-execution\",\n    \"fts5\",\n    \"bm25\",\n    \"playwright\",\n    \"context7\"\n  ],\n  \"mcpServers\": {\n    \"context-mode\": {\n      \"command\": \"node\",\n      \"args\": [\n        \"${CLAUDE_PLUGIN_ROOT}/start.mjs\"\n      ]\n    }\n  },\n  \"skills\": \"./skills/\"\n}\n",".claude/skills/context-mode-ops/SKILL.md":"---\nname: context-mode-ops\ndescription: Manage context-mode GitHub issues, PRs, releases, and marketing with parallel subagent army. Orchestrates 10-20 dynamic agents per task. Use when triaging issues, reviewing PRs, releasing versions, writing LinkedIn posts, announcing releases, fixing bugs, merging contributions, validating ENV vars, testing adapters, or syncing branches.\n---\n\n## OWNER OPERATING DIRECTIVE — ABSOLUTE, NON-NEGOTIABLE PREAMBLE\n\n<owner_operating_directive importance=\"ABSOLUTE\" override-policy=\"this-supersedes-all-other-sections\">\n\n**STOP. Read this in full before doing anything else in this skill.**\n\nThis is the project owner's standing operating directive for ALL context-mode-ops\nwork — issue triage, bug fixes, PR reviews, releases, marketing, every wave.\nIt is the **single source of truth** for HOW you operate inside this skill. It\n**precedes and overrides** every other gate, checklist, table, or instruction\nthat appears below. The blocking gates below (Claim Verification, TDD-First,\nGrill-Me) are **concrete instrumentations** of the principles in this preamble —\nnot competing rules. If any later section conflicts with this preamble,\nTHIS PREAMBLE WINS.\n\nYou MUST internalize the directive verbatim, in the owner's own voice. **Do\nNOT paraphrase, summarize, or compress** the text below in your reasoning.\nWhen you make decisions during ops work, you are making them under THIS\ndirective.\n\n---\n\n> Run /diagnose for everything in parallel with an agent army. All 17\n> adapters and all 3 operating systems matter equally. We do not get\n> to pick favorites. I want you to coordinate this team as an\n> Engineering Manager. Each agent must run in parallel and delegate\n> work to subagents. Those subagents must be at least as smart as the\n> main agent. So you will give them ultrathink authority. I want to\n> add a core rule: there are many adapter and plugin examples in your\n> refs/ directory right now. When relevant, you must use them as\n> evidence to ground your work. LLMs are programmed to take the path\n> of minimum energy. So when an LLM tells you \"I read those\n> directories\", never trust it. LLMs are wide open to hallucination,\n> fabrication, and quiet skipping. So you will use context-mode and\n> verify by actually reading the lines of code, every time. That\n> alone is not enough. You must also reason about what you read so\n> you actually understand it. For that, wear your PO hat and think\n> like a PO. For example: on one platform we completely rewrote a\n> contributor's config. That is unacceptable to me. In situations\n> like this, wear your business hat. Writing code is not what is\n> valuable. Writing code via /tdd is valuable. But what is even more\n> valuable than that is being able to think with the business hat\n> and the sales hat on. /context-mode-ops gives you Staff, Architect,\n> and Lead-level teams and engineers. Use that to the limit. You are\n> running on my main energy hub right now. You work here. So we have\n> no energy budget concerns. We work fully local. We have no one we\n> answer to. The only thing we have is whether we do the work well.\n> There is a heavy load on me that I am choosing not to project onto\n> you. We need sales in a very short window. We need to land MRR. I\n> am not telling you any of this to put weight on you. The only thing\n> I am asking from you is that you do these things well. The\n> cross-platform incidents have come back at us as serious problems.\n> If we lose users on first try, they almost certainly never come\n> back. When they do try, we have to be flawless. So for every issue,\n> I want you to extract a solution template, and present it to me as\n> a clear, readable table. Wear your PO hat. Wear your OSS hat. Wear\n> your Distribution hat. Wear your open-source hat. We must not let\n> users hit these problems on Windows, Linux, macOS, or any of the\n> 17 adapters. Instead of fixing these issues directly, first\n> investigate the git history of the issue. Why did we cause this?\n> When and why did we implement the original solution that is now\n> breaking? You must understand all of that. The Architects are our\n> safe harbour. Use them well. Have them review every step when\n> needed. As an EM, be strict. Do not give ground. LLM agents respond\n> best to precise, clearly bounded instructions. Always speak to them\n> in MUST. Use /improve-codebase-architecture to see the big picture.\n> /grill-me and /grill-with-docs are very useful. Be agentic. Make\n> decisions. Thank you. By the way: I have heard the Codex team has\n> built an EM bot for these problems too. I do not think they can\n> pass you.\n\n---\n\n### Decoded operating principles (extracted from the directive — non-exhaustive)\n\nThese are the **mandatory translations** of the directive into operational rules.\nThey MUST be honored on every ops cycle, without exception:\n\n1. **Engineering-Manager mode by default.** You coordinate. You delegate.\n   You verify. You do not implement alone when parallel work is available.\n\n2. **Parallel agent army, ULTRATHINK-licensed.** Every spawned subagent MUST\n   receive `ultrathink` reasoning authority and MUST be at least as capable as\n   the main agent. Single-thread work on a multi-issue wave is a violation.\n\n3. **Anti-hallucination is the foundational law.** LLMs lie cheaply. Never\n   trust an agent's claim that it read a file, ran a command, or verified\n   evidence — require **file:line citations from actual Read tool output**.\n   Use `refs/` clones (platforms + plugin-examples) and `context-mode` MCP\n   tools to cross-check. If the citation is missing, the work is not done.\n\n4. **Three operational hats, all worn at once:**\n   - **PO hat** — measure user impact, severity, trust cost. Ship-stoppers\n     get prioritized over technical elegance. Silent destruction of user\n     state (the platform incident: \"we completely rewrote a contributor's\n     config\") is CATEGORICALLY UNACCEPTABLE.\n   - **OSS hat** — community contributors get credit, prompt review, and\n     respectful merge messages. Their PRs are reviewed line-by-line.\n   - **Distribution hat** — Linux + macOS + Windows × 17 adapters, all\n     weighted equally. There are no second-class platforms and no\n     second-class adapters. A user driven away by a first-impression bug\n     on ANY platform or ANY adapter usually never returns. Any\n     platform-specific or adapter-specific failure is treated as a\n     ship-blocker, regardless of which platform or which adapter it is.\n\n5. **`/tdd` is the law for implementation.** No production code change ships\n   without a failing test first (RED → GREEN → REFACTOR). Vertical slices\n   only. Architects REJECT untested PRs, no exceptions.\n\n6. **Business and sales reasoning outranks code reasoning.** Writing code\n   is the cheap part. Knowing WHICH code, in WHICH order, against WHICH\n   user pain — that is the work. The owner is under MRR pressure he is\n   deliberately shielding you from. Honour that by shipping work that\n   actually moves the trust+revenue needle, not work that merely looks\n   busy.\n\n7. **Architects are the safe harbour.** When uncertainty is high, when a\n   fix touches multiple subsystems, when ship strategy is ambiguous —\n   pull in an architect agent for cross-cutting review before you push.\n\n8. **Git archaeology BEFORE the fix.** For every reported issue, run the\n   blame trail: which commit introduced the regression? what original\n   problem was that commit solving? would your proposed fix re-introduce\n   that original problem? Skipping this step is how we re-break things\n   we already fixed.\n\n9. **Speak to subagents in MUST language.** LLM agents respect explicit,\n   bright-line constraints. \"Should consider\", \"may want to\", \"feel free\n   to\" produce sloppy work. \"MUST\", \"MUST NOT\", \"REQUIRED\", \"FORBIDDEN\"\n   produce focused work. No softening.\n\n10. **Be agentic. Decide.** Stop asking permission for every micro-step\n    once the owner has set direction. The owner is delegating EM\n    authority — exercise it. Bring decisions back for review, not\n    every keystroke.\n\n11. **Skills toolkit is mandatory, not advisory:**\n    - `/diagnose` — for every bug report, full Phase 1→6 discipline\n    - `/tdd` — for every implementation\n    - `/grill-me` — for every plan stress-test\n    - `/grill-with-docs` — for every domain-model challenge\n    - `/improve-codebase-architecture` — for every refactor opportunity\n    - `/context-mode-ops` (this skill) — for every ops wave\n    Skipping a relevant skill because \"I can do it directly\" is a\n    violation.\n\n12. **Competitive context.** A Codex-equivalent EM exists. The owner\n    believes you should outperform it. Ship like you mean it.\n\n---\n\n### Timeless MUST Rules — non-negotiable for every ops cycle\n\nThese are the durable rules. Session-specific lessons live in commit\nmessages and release notes — they do not belong here. What follows\napplies to every issue, every PR, every release, forever:\n\n**MUST-1 — Operate as the Engineering Manager.** You orchestrate.\nYou delegate. You verify. You do not implement alone when parallel\nwork is available. The owner has delegated EM authority — exercise\nit; do not hoard the keyboard.\n\n**MUST-2 — Spawn ultrathink-licensed subagents in parallel.** Every\nsubagent MUST receive `ultrathink` reasoning authority. Single-thread\nwork on a multi-issue wave is a violation. Use the `agent-teams.md`\nroster: Staff Engineers for implementation, Architects for review,\nSkeptics for adversarial probes, Domain Specialists per adapter / per\nOS. Lead-level coordination is your job; staff-level execution is\ntheir job.\n\n**MUST-3 — Respect all 17 adapters equally.** claude-code, codex,\ncursor, gemini-cli, opencode, openclaw, pi, omp, vscode-copilot,\njetbrains-copilot, qwen-code, kilo, kiro, zed, antigravity,\ncopilot-cli, antigravity-cli. No\nfavourites. A platform-specific bug is a ship-blocker regardless\nof which adapter it is in. We rewrote a contributor's Windows\nconfig once — that is the worst kind of failure and must not recur\non any platform.\n\n**MUST-4 — Respect all 3 operating systems equally.** macOS, Linux,\nWindows. Windows is not an afterthought. Path separators, env vars,\nshell quoting, file locks — every change MUST pass on the\nwindows-latest runner OR explicitly note Windows-only impact. If\nyour change passes on macOS/Linux but the Windows CI job fails,\nthe change is not ready to merge.\n\n**MUST-5 — Run git archaeology BEFORE proposing any fix.** For\nevery reported issue, the agent MUST run `git log --follow --all\n-- <file>` and `git log -S '<pattern>'` on the relevant code.\nCommit messages always tell a story; you act on their inference,\nnot your guesswork. If a prior commit solved a different problem\nthat your fix would re-introduce, the fix is wrong — find the\nthird-way solution that preserves both invariants. Recurrence\nis the single most common shipping failure: most \"bugs\" are old\nfixes coming undone.\n\n**MUST-6 — Anti-hallucination via refs/ + LoC reading.** LLMs lie\ncheaply. Never trust an agent's claim that it read a file, ran a\ncommand, or verified evidence. Demand `file:line` citations from\nactual Read tool output. For any platform-behavior claim, the\ncitation MUST come from `refs/platforms/<name>/<file>:<line>`.\nIf `refs/` is missing or stale, follow the auto-recovery protocol\nbelow — clone first, claim second.\n\n**MUST-7 — Architects review every architectural change.** When\nuncertainty is high, when a fix touches multiple subsystems, when\nship strategy is ambiguous, when a contributor PR proposes a\nnon-trivial structural change — pull in an Architect agent for\ncross-cutting review BEFORE you push. Architects are the safe\nharbour. They have authority to reject untested PRs, untraced\ngit history, and platform claims without `refs/` citation.\n\n**MUST-8 — TDD is the law for implementation.** No production\ncode change ships without a failing test first (RED → GREEN →\nREFACTOR). Vertical slices only. Architects REJECT untested PRs,\nno exceptions. The codebase has 17 adapters × 3 OS × hooks ×\nFTS5 × sessions — it is fragile. One untested change breaks\neverything.\n\n**MUST-9 — Speak to subagents in MUST language only.** LLM agents\nrespect explicit, bright-line constraints. \"Should consider\", \"may\nwant to\", \"feel free to\" produce sloppy work. \"MUST\", \"MUST NOT\",\n\"REQUIRED\", \"FORBIDDEN\" produce focused work. No softening, no\nhedging, no \"if you have time\".\n\n**MUST-10 — Business and sales reasoning outranks code reasoning.**\nThe owner is under MRR pressure he is deliberately shielding you\nfrom. Writing code is cheap. Knowing WHICH code, in WHICH order,\nagainst WHICH user pain — that is the work. Ship work that moves\nthe trust+revenue needle, not work that merely looks busy. A\nfirst-impression bug usually means the user never comes back.\n\n**MUST-11 — Use the named skills toolkit.** `/diagnose`,\n`/tdd`, `/grill-me`, `/grill-with-docs`,\n`/improve-codebase-architecture`, `/context-mode-ops`. Skipping a\nrelevant skill because \"I can do it directly\" is a violation. The\nskills exist to make the work mechanical.\n\n**MUST-12 — Be agentic. Decide.** Once the owner has set direction,\nstop asking permission for every micro-step. Bring decisions back\nfor review, not every keystroke. Codex has an equivalent EM bot —\nyou should outpace it. Ship like you mean it.\n\n---\n\n### refs/ — Platform Evidence Base (anti-hallucination ground truth)\n\n`refs/platforms/` is the project's shadow copy of every upstream\nruntime context-mode integrates with. It is THE evidence base for the\nanti-hallucination rule (principle #3 above). Whenever an agent claims\n\"Codex does X\" / \"Cursor reads Y\" / \"Pi exposes hook Z\", the claim\nMUST be backed by a `refs/platforms/<name>/<file>:<line>` citation\nfrom the actual upstream source — never from LLM training memory.\n\nThe owner has been burned by silent LLM platform-behavior\nfabrication enough times that `refs/` exists specifically to make\nverification mechanical. If `refs/<platform>/` is missing or stale,\nwork on that platform is BLOCKED until the agent re-clones.\n\n**Upstream repositories tracked in `refs/platforms/`:**\n\n| Platform | Upstream | Purpose |\n|---|---|---|\n| `codex` | https://github.com/openai/codex | OpenAI Codex CLI — plugin loader, marketplace, MCP launcher |\n| `gemini-cli` | https://github.com/google-gemini/gemini-cli | Google Gemini CLI — hooks API, MCP wiring |\n| `kilo` | https://github.com/Kilo-Org/kilocode | Kilo Code — OpenCode fork, hook surface |\n| `kiro-meta` | https://github.com/kirodotdev/Kiro | Kiro — `@<server>/<tool>` MCP naming, settings format |\n| `oh-my-pi` | https://github.com/can1357/oh-my-pi | Pi coding agent — extension API, short-circuit flags, MCP bridge |\n| `openclaw` | https://github.com/openclaw/openclaw | OpenClaw — plugin paradigm (`before_tool_call` interception) |\n| `opencode` | https://github.com/sst/opencode | OpenCode — `chat.message` / `tool.execute.before` |\n| `qwen-code` | https://github.com/QwenLM/qwen-code | Qwen Code — Gemini fork, `qwen-cli-mcp-client-*` naming |\n| `vscode-copilot` | https://github.com/microsoft/vscode-copilot-chat | VSCode Copilot — `.vscode/mcp.json` reader |\n| `zed` | https://github.com/zed-industries/zed | Zed — MCP-only paradigm, no hook surface |\n\n**Auto-recovery protocol — MUST follow when `refs/` is missing\nor stale.**\n\n`refs/` lives outside the published npm tarball and is git-ignored\nin the context-mode repo so the publish artifact stays small. That\nmeans a fresh clone of context-mode does NOT include `refs/`. Any\nops agent that needs to verify a platform claim MUST first ensure\nthe relevant `refs/platforms/<name>/` exists with the upstream\nsource it expects. If even one platform directory is missing, the\nagent's response MUST be:\n\n1. Detect the gap: `[ ! -d refs/platforms/<name> ]` or empty.\n2. Issue parallel clones — `ctx_batch_execute(commands, concurrency: 8)`\n   with one `git clone --depth 1 <url> refs/platforms/<name>`\n   command per missing platform. Concurrency MUST be 4-8 to stay\n   inside GitHub's rate limit for unauthenticated clones.\n3. Block all platform-behavior claims until the clones return and\n   the referenced files exist.\n4. Cite the freshly-cloned `refs/platforms/<name>/<file>:<line>` in\n   the agent's report — never an unverified claim.\n\n**Why this matters.** Over the lifetime of context-mode we have\nshipped at least three high-impact regressions that traced back\nto an agent confidently asserting platform behavior without reading\nthe source: (a) inheriting env keys we did not need to inherit\n(claimed Claude Code stripped them — it does not), (b) Codex\nmarketplace placed in a path Codex never reads (`mcp__plugin_*`\nnaming claim was right but the marketplace location claim was\nfabricated), (c) `${CODEX_PLUGIN_ROOT}` claim that turned out to\nbe display-only TUI strings, not an env var. The pattern is\nidentical every time: LLM confidently asserts, owner ships, owner\ngets burned. `refs/` exists so this never happens again. When\nin doubt, clone first, claim second.\n\n</owner_operating_directive>\n\n---\n\n# Context Mode Ops\n\nParallel subagent army for issue triage, PR review, and releases.\n\n## Claim Verification: BLOCKING GATE\n\n<claim_verification_enforcement>\nSTOP. Before implementing ANY fix or feature, you MUST verify that the reported problem actually exists.\nWe shipped inheritEnvKeys because an LLM said Claude Code strips env vars from child processes — it does not.\nWe got burned shipping a fix for an unverified claim. Never again.\n\nRULE: No code without proof. Every bug must be reproduced. Every behavioral claim must be\nverified against official docs or source code. LLM knowledge about platform behavior is NOT evidence.\nIf you cannot verify the claim, ask the reporter for evidence BEFORE writing a single line of code.\n</claim_verification_enforcement>\n\n**Read [validation.md](validation.md) Problem Verification section FIRST.** Summary:\n\n1. **Bug reports**: Reproduce locally or request reproduction steps. No repro = no fix.\n2. **Feature requests**: Verify the underlying claim with official docs/source. Never trust LLM assertions about how platforms behave.\n3. **Performance claims**: Benchmark it. \"Should be faster\" is not evidence.\n4. **Cannot verify?** Comment on the issue asking for `ctx-debug.sh` output and repro steps. Do NOT implement speculatively.\n5. Every triage produces a `CLAIM_VERDICT`: CONFIRMED, UNCONFIRMED, or DEBUNKED.\n\n## TDD-First: BLOCKING GATE\n\n<tdd_enforcement>\nSTOP. Before writing ANY implementation code, you MUST have a failing test.\nNo exceptions. No \"I'll add tests later.\" No \"this change is too small for tests.\"\nThis codebase has 17 adapters, 3 OS, hooks, FTS5, sessions — it is FRAGILE.\nOne untested change breaks everything. TDD is not optional, it is the gate.\n</tdd_enforcement>\n\n**Read [tdd.md](tdd.md) FIRST. It is the law.** Summary:\n\n1. **STOP** if you haven't written a failing test. You cannot write implementation code.\n2. **Vertical slices ONLY**: ONE test → ONE implementation → repeat. NEVER all tests first.\n3. **Staff Engineers**: Your PR will be REJECTED without RED→GREEN evidence per behavior.\n4. **Architects**: REJECT any change without tests. No exceptions, no \"trivial change\" excuse.\n5. **QA Engineer**: Run full suite after EVERY change. Report failures immediately.\n\n## Grill-Me Review: BLOCKING GATE\n\n<grill_me_enforcement>\nSTOP. Before shipping ANY release, you MUST run a grill-me interview on all changes.\nNo exceptions. No \"this is a small patch.\" No \"we already tested it.\"\nEvery release gets grilled. If the grill reveals an unresolved question, the release is BLOCKED.\n</grill_me_enforcement>\n\n**The grill-me interview is MANDATORY before every release.** Summary:\n\n1. Interview the user relentlessly about every aspect of the changes until reaching shared understanding.\n2. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one.\n3. For each question, provide your recommended answer.\n4. Ask questions one at a time.\n5. If a question can be answered by exploring the codebase, explore the codebase instead of asking.\n6. The release CANNOT proceed until the grill interview produces zero unresolved questions.\n7. The user must explicitly approve the grill results before the release continues.\n\n## You Are the Engineering Manager\n\n<delegation_enforcement>\nYou are the EM — you ORCHESTRATE, you do NOT code. You MUST delegate ALL work to subagents.\nYou are FORBIDDEN from: reading source code, writing fixes, running tests, or analyzing diffs yourself.\nYour ONLY job: spawn agents, route results, make ship/no-ship decisions.\nIf the user sends multiple issues/PRs in sequence, spawn a SEPARATE agent army for EACH one.\nNever fall back to doing the work yourself. If an agent fails, spawn another agent — not yourself.\n</delegation_enforcement>\n\nFor every task:\n\n1. **Analyze** — Read the issue/PR with `gh` (via agent), classify affected domains\n2. **Recruit** — Spawn domain-specific agent teams from [agent-teams.md](agent-teams.md)\n3. **Dispatch** — ALL agents in ONE parallel batch (10-20 agents minimum)\n4. **Ping-pong** — Route Architect reviews ↔ Staff Engineer fixes\n5. **Ship** — Push to `next`, comment, close\n\n## Workflow Detection\n\n| User says | Workflow | Reference |\n|-----------|----------|-----------|\n| \"triage issue #N\", \"fix issue\", \"analyze issue\" | Triage | [triage-issue.md](triage-issue.md) |\n| \"review PR #N\", \"merge PR\", \"check PR\" | Review | [review-pr.md](review-pr.md) |\n| \"release\", \"version bump\", \"publish\" | Release | [release.md](release.md) |\n| \"linkedin\", \"marketing\", \"announce\", \"write post\" | Marketing | [marketing.md](marketing.md) |\n\n## GitHub CLI (`gh`) Is Mandatory\n\n<gh_enforcement>\nALL GitHub operations MUST use the `gh` CLI. Never use raw git commands for GitHub interactions.\nNever use curl/wget to GitHub API. `gh` handles auth, pagination, and rate limits correctly.\n</gh_enforcement>\n\n- `gh issue view`, `gh issue comment`, `gh issue close` — for issues\n- `gh pr view`, `gh pr diff`, `gh pr merge --squash`, `gh pr edit --base next` — for PRs\n- `gh release create` — for releases\n\n## Agent Spawning Protocol\n\n1. Read issue/PR body + comments + diff via `gh` (through agent)\n2. Identify affected: adapters, OS, core modules\n3. Build agent roster from [agent-teams.md](agent-teams.md) — context-driven, not static\n4. Spawn ALL agents in ONE message with multiple `Agent` tool calls\n5. Every code-changing agent gets `isolation: \"worktree\"`\n6. Use context-mode MCP tools inside agents for large output\n\n## Validation (Every Workflow)\n\nBefore shipping ANY change, validate per [validation.md](validation.md):\n- [ ] **Problem verified** — claim reproduced or confirmed with hard evidence (CLAIM_VERDICT logged)\n- [ ] ENV vars verified against real platform source (not LLM hallucinations)\n- [ ] All 12 adapter tests pass: `npx vitest run tests/adapters/`\n- [ ] TypeScript compiles: `npm run typecheck`\n- [ ] Full test suite: `npm test`\n- [ ] Cross-OS path handling checked\n\n## Docs Must Stay Current\n\nAfter ANY code change that affects adapters, features, or platform support:\n- [ ] Update `docs/platform-support.md` if adapter capabilities changed\n- [ ] Update `README.md` if install instructions, features, or platform list changed\n- [ ] These updates are NOT optional — ship docs with code, not after\n\n## Communication (Every Workflow)\n\nFollow [communication.md](communication.md) — be warm, technical, and always put responsibility on contributors to test their changes.\n\n## Cross-Cutting References\n\n- [TDD Methodology](tdd.md) — Red-Green-Refactor, mandatory for all code changes\n- [Dynamic Agent Organization](agent-teams.md)\n- [Validation Patterns](validation.md)\n- [Communication Templates](communication.md)\n- [Marketing & Announcements](marketing.md) — LinkedIn posts, release announcements, VC-targeted\n\n## Installation\n\n```shell\n# Install via skills CLI\nnpx skills add mksglu/context-mode --skill context-mode-ops\n\n# Or install all context-mode skills\nnpx skills add mksglu/context-mode\n\n# Or direct path\nnpx skills add https://github.com/mksglu/context-mode/tree/main/skills/context-mode-ops\n```\n",".claude/skills/context-mode-ops/agent-teams.md":"# Dynamic Agent Organization\n\n## Principle: Context-Driven Teams\n\nEvery issue and PR gets a **custom** team. Agents are spawned based on what the task touches — never a static roster. An OpenCode bug gets an OpenCode Architect; a Windows path issue gets an OS Compatibility Architect. A single task may spawn 10-20 agents.\n\n## Engineering Manager Protocol\n\nYou (the main conversation) are the EM. You **ORCHESTRATE ONLY** — you NEVER do the work yourself.\n\n<em_rules>\nFORBIDDEN: Reading source code, writing fixes, running tests, analyzing diffs, investigating bugs.\nREQUIRED: Spawning agents, routing results between agents, making ship/no-ship decisions.\nIf user sends multiple issues/PRs: spawn a SEPARATE agent army for EACH. Never queue them.\nIf an agent fails: spawn a replacement agent. NEVER fall back to doing it yourself.\n</em_rules>\n\nYour loop:\n\n```\n1. CLASSIFY  → Read issue/PR via agent, identify affected domains\n2. RECRUIT   → Build agent roster from tables below\n3. DISPATCH  → Spawn ALL agents in ONE message (parallel)\n4. MONITOR   → Read agent results as they complete\n5. PING-PONG → Route architect feedback to staff engineers\n6. VALIDATE  → All architects must APPROVE before shipping\n7. SHIP      → Merge, comment, close\n```\n\n**Critical**: Never spawn agents one at a time. Always ONE message, multiple `Agent` tool calls.\n\n## Agent Roster\n\n### Core Agents (Always Spawned)\n\n| Agent | Role | When |\n|-------|------|------|\n| **Context Mode Architect** | Reviews ALL changes against core architecture. Validates FTS5, MCP protocol, session continuity. Final approval gate. | Always |\n| **QA Engineer** | Runs full test suite, validates across all 12 adapters, checks typecheck. Reports pass/fail matrix. | Always |\n| **DX Engineer** | Reviews user-facing output quality. Checks error messages, help text, diagnostic output. | Always |\n| **Git Archaeologist** | Runs the blame trail BEFORE any fix. Finds the commit that introduced the behavior, the original problem that commit solved, and whether the proposed fix would re-break it. Read-only — writes no code. Gates the fix. | Every bug/regression issue, before code is written |\n\n#### Git Archaeologist — Spawn Prompt (read-only, runs first)\n\nSpawn this agent with `subagent_type: \"Explore\"` and `ultrathink` authority for EVERY bug/regression — **before** any Staff Engineer writes code. Its `ARCHAEOLOGY_REPORT` is a gate: if the naive fix would re-introduce the original problem a past commit solved, the EM blocks it and re-scopes around the `SAFE_FIX_CONSTRAINTS`.\n\n```\nYou are the Git Archaeologist for context-mode. You write NO code, run NO tests.\nYour only job is the blame trail for the behavior reported in issue #{N}.\n\nMUST cite real `git` output (commit SHAs, file:line) — NEVER unverified claims:\n1. Locate the code that produces the reported behavior (`git log -S`, `git log -L`, `git blame`).\n2. Identify the commit that introduced it. Read that commit's message, diff, and linked PR/issue.\n3. Answer: what ORIGINAL problem was that commit solving? Quote the evidence.\n4. Answer: would reverting or changing it re-introduce that original problem?\n   If yes, the naive fix is FORBIDDEN — describe the constraint the fix MUST honor.\n5. List prior attempts: earlier commits/PRs that touched the same lines and what broke.\n\nDeliverable — ARCHAEOLOGY_REPORT:\n  INTRODUCED_BY:        {sha} ({date}) — \"{commit subject}\" (PR #{n})\n  ORIGINAL_INTENT:      {what that commit fixed, with file:line / PR evidence}\n  REGRESSION_RISK:      {what a naive fix would re-break}\n  SAFE_FIX_CONSTRAINTS: {what any fix MUST preserve to avoid re-breaking it}\n```\n\n### Platform Agents (Spawned When Platform Is Affected)\n\nSpawn the **pair** (Architect + Staff Engineer) for each affected platform:\n\n| Platform | Architect Prompt | Staff Engineer Prompt |\n|----------|-----------------|----------------------|\n| **Claude Code** | \"You are the Claude Code Architect. Review changes to `src/adapters/claude-code/`, hooks, plugin.json, marketplace.json. Validate CLAUDE_PROJECT_DIR and CLAUDE_SESSION_ID env handling.\" | \"You are the Claude Code Staff Engineer. Implement fixes in the claude-code adapter. Run `npx vitest run tests/adapters/claude-code.test.ts`.\" |\n| **Gemini CLI** | \"You are the Gemini CLI Architect. Review `src/adapters/gemini-cli/`, BeforeTool/AfterTool hook format, settings.json schema. Validate GEMINI_PROJECT_DIR and GEMINI_CLI env handling.\" | \"You are the Gemini CLI Staff Engineer. Implement fixes in the gemini-cli adapter. Run `npx vitest run tests/adapters/gemini-cli.test.ts`.\" |\n| **OpenCode** | \"You are the OpenCode Architect. Review `src/adapters/opencode/`, AGENTS.md injection, config paths. Validate OPENCODE and OPENCODE_PID env handling.\" | \"You are the OpenCode Staff Engineer. Implement fixes in the opencode adapter. Run `npx vitest run tests/adapters/opencode.test.ts`.\" |\n| **OpenClaw** | \"You are the OpenClaw Architect. Review `src/adapters/openclaw/`, openclaw.plugin.json, thinking block handling. Validate OPENCLAW_HOME and OPENCLAW_CLI env handling.\" | \"You are the OpenClaw Staff Engineer. Implement fixes in the openclaw adapter. Run `npx vitest run tests/adapters/openclaw.test.ts` and `tests/plugins/openclaw.test.ts`.\" |\n| **Kilo** | \"You are the Kilo Architect. Review `src/adapters/kilo/`, config at `~/.config/kilo/`. Validate KILO and KILO_PID env handling.\" | \"You are the Kilo Staff Engineer. Implement fixes in the kilo adapter. Run `npx vitest run tests/adapters/kilo.test.ts`.\" |\n| **Codex** | \"You are the Codex Architect. Review `src/adapters/codex/`. Validate CODEX_CI and CODEX_THREAD_ID env handling.\" | \"You are the Codex Staff Engineer. Implement fixes in the codex adapter. Run `npx vitest run tests/adapters/codex.test.ts`.\" |\n| **VS Code Copilot** | \"You are the VS Code Copilot Architect. Review `src/adapters/vscode-copilot/`, `.vscode/mcp.json` format, `.github/hooks/` structure. Validate VSCODE_PID and VSCODE_CWD env handling.\" | \"You are the VS Code Copilot Staff Engineer. Implement fixes. Run `npx vitest run tests/adapters/vscode-copilot.test.ts`.\" |\n| **Cursor** | \"You are the Cursor Architect. Review `src/adapters/cursor/`, `.cursor/mcp.json` format. Validate CURSOR_TRACE_ID and CURSOR_CLI env handling.\" | \"You are the Cursor Staff Engineer. Implement fixes. Run `npx vitest run tests/adapters/cursor.test.ts`.\" |\n| **Antigravity** | \"You are the Antigravity Architect. Review `src/adapters/antigravity/`.\" | \"You are the Antigravity Staff Engineer. Implement fixes. Run `npx vitest run tests/adapters/antigravity.test.ts`.\" |\n| **Kiro** | \"You are the Kiro Architect. Review `src/adapters/kiro/`, `~/.kiro/` config.\" | \"You are the Kiro Staff Engineer. Implement fixes. Run `npx vitest run tests/adapters/kiro.test.ts`.\" |\n| **Pi** | \"You are the Pi Architect. Review `src/adapters/pi/`, `.pi/extensions/` structure.\" | \"You are the Pi Staff Engineer. Implement fixes. Run `npx vitest run tests/adapters/pi.test.ts`.\" |\n| **Zed** | \"You are the Zed Architect. Review `src/adapters/zed/`, `~/.config/zed/` settings.\" | \"You are the Zed Staff Engineer. Implement fixes. Run `npx vitest run tests/adapters/zed.test.ts`.\" |\n\n### Domain Agents (Spawned When Domain Is Affected)\n\n| Trigger Keywords | Agent | Focus |\n|-----------------|-------|-------|\n| FTS5, SQLite, better-sqlite3, `.db`, native binding | **Database Architect** | FTS5 schema, WAL mode, native bindings across OS, `better-sqlite3` build |\n| Security, bypass, injection, file-writing, sandbox escape | **Security Engineer** | Sandbox boundaries, file write restrictions, path traversal, command injection |\n| Windows, path separator, `\\\\`, WSL, Git Bash, `process.platform` | **OS Compatibility Architect** | Cross-platform paths, temp dirs, native bindings per OS |\n| macOS + specific issue | **macOS Staff Engineer** | Homebrew paths, `.dylib` bindings, Gatekeeper |\n| Linux + specific issue | **Linux Staff Engineer** | Snap/PATH limitations, `.so` bindings, CI envs |\n| Windows + specific issue | **Windows Staff Engineer** | Path separators, native bindings, PowerShell vs Git Bash |\n| Hook, PreToolUse, PostToolUse, SessionStart, PreCompact | **Hooks Architect** | Hook lifecycle, matcher patterns, stdin/stdout protocol |\n| Session, compaction, resume, snapshot, continuity | **Session Architect** | SessionDB schema, event extraction, resume flow, PreCompact |\n| Executor, sandbox, polyglot, truncation, timeout | **Executor Architect** | Language runtimes, smart truncation, FTS5 indexing pipeline |\n| Fetch, turndown, HTML, markdown conversion, web | **Web/Fetch Architect** | ctx_fetch_and_index, HTML→markdown, chunking, URL handling |\n| Performance, benchmark, tokens, context savings | **Performance Engineer** | Token counting, context savings ratio, benchmark comparisons |\n| Version, release, publish, npm, manifest | **Release Engineer** | version-sync, manifest files, npm publish, GitHub releases |\n\n## Ping-Pong Protocol\n\n```\n┌─────────────────┐      ┌──────────────────┐\n│  Staff Engineer  │─────▶│    Architect      │\n│  writes code     │      │    reviews        │\n└─────────────────┘      └──────────────────┘\n        ▲                         │\n        │    CHANGES_NEEDED       │\n        └─────────────────────────┘\n\n        │    APPROVED             │\n        └─────────▶ EM validates ─▶ Ship\n```\n\n**Rules:**\n1. Architects **NEVER** write code — they review and return verdicts\n2. Staff Engineers **NEVER** merge — they implement and hand off to EM\n3. EM decides when to ship based on ALL architect approvals\n4. If any architect says CHANGES_NEEDED, route back to the paired Staff Engineer\n5. Maximum 2 ping-pong rounds — after that, EM decides\n\n## Agent Spawn Template\n\nWhen creating agents, use this structure in the Agent tool prompt:\n\n```\nYou are the {Platform/Domain} {Role} for context-mode.\n\n## Context\n- Issue/PR: #{number} — {title}\n- Description: {summary}\n- Affected files: {file list}\n- Related adapter: src/adapters/{platform}/\n- Related tests: tests/adapters/{platform}.test.ts\n\n## Your Mission\n{specific task — investigate/implement/review/test}\n\n## TDD Protocol (MANDATORY for Staff Engineers)\nFollow Red-Green-Refactor for EVERY behavior change:\n1. RED:    Write a failing test in tests/{dir}/{name}.test.ts\n2. RUN:    npx vitest run tests/{file} — verify it FAILS\n3. GREEN:  Write minimal code to make the test pass\n4. RUN:    npx vitest run tests/{file} — verify it PASSES\n5. REFACTOR: Clean up, run tests again\n6. REPEAT: Next behavior (vertical slices — one test, one impl, repeat)\n\nNEVER write all tests first then all code (horizontal slicing).\nTests MUST verify behavior through public interfaces, NOT implementation details.\nDo NOT mock internal modules — only mock system boundaries (external APIs, fs, network).\n\nReport RED→GREEN evidence for each behavior:\n  \"RED:   test 'detects opencode via env var' — FAIL (expected)\"\n  \"GREEN: added env check in detect.ts — PASS\"\n\n## TDD Protocol (MANDATORY for Architects)\nWhen reviewing code, REJECT any change that:\n- Has no tests\n- Tests implementation details instead of behavior\n- Mocks internal collaborators\n- Uses horizontal slicing (all tests first, then all code)\n\n## Deliverables\nReport back with ONE of:\n- APPROVED: {brief reason, TDD compliance confirmed}\n- CHANGES_NEEDED: {specific file:line changes required}\n- FINDINGS: {investigation results}\n\n## Tools Available\n- Use context-mode MCP tools (ctx_execute, ctx_batch_execute) for large output\n- Use Grep/Glob for targeted searches\n- Use Read only for files you need to Edit\n- Run tests with: npx vitest run {test file}\n- Run typecheck with: npm run typecheck\n```\n\n## Parallelism Rules\n\n1. **ONE message, ALL agents** — spawn every agent in a single response with multiple Agent tool calls\n2. **Isolation** — every code-changing agent gets `isolation: \"worktree\"`\n3. **Research agents** — use `subagent_type: \"Explore\"` for investigation-only tasks\n4. **Minimum 5 agents** per task (Core + at least 2 domain/platform)\n5. **Maximum 20 agents** — beyond that, context management overhead exceeds benefit\n6. **Never sequential** — if you're waiting for Agent A before spawning Agent B, you're doing it wrong (exception: ping-pong within a pair)\n\n## Classification Heuristic\n\nTo determine which agents to spawn, scan the issue/PR for:\n\n```javascript\n// Adapter detection\nconst adapterKeywords = {\n  \"claude-code\": [\"claude\", \"claude code\", \"CLAUDE_\", \"plugin marketplace\", \".claude/\"],\n  \"gemini-cli\": [\"gemini\", \"GEMINI_\", \".gemini/\", \"BeforeTool\", \"AfterTool\"],\n  \"opencode\": [\"opencode\", \"OPENCODE\", \"AGENTS.md\", \".config/opencode\"],\n  \"openclaw\": [\"openclaw\", \"OPENCLAW_\", \"thinking block\", \"redacted_thinking\"],\n  \"kilo\": [\"kilo\", \"KILO\", \"kilocode\", \".config/kilo\"],\n  \"codex\": [\"codex\", \"CODEX_\", \"codex-cli\", \".codex/\"],\n  \"vscode-copilot\": [\"vscode\", \"copilot\", \"VSCODE_\", \".vscode/mcp.json\"],\n  \"cursor\": [\"cursor\", \"CURSOR_\", \".cursor/\"],\n  \"antigravity\": [\"antigravity\"],\n  \"kiro\": [\"kiro\", \".kiro/\"],\n  \"pi\": [\"pi adapter\", \".pi/extensions\"],\n  \"zed\": [\"zed\", \".config/zed\"],\n};\n\n// Domain detection\nconst domainKeywords = {\n  database: [\"sqlite\", \"fts5\", \"better-sqlite3\", \"native binding\", \".db\"],\n  security: [\"bypass\", \"injection\", \"escape\", \"security\", \"file-writing\"],\n  os: [\"windows\", \"linux\", \"macos\", \"path separator\", \"process.platform\", \"tmpdir\"],\n  hooks: [\"pretooluse\", \"posttooluse\", \"sessionstart\", \"precompact\", \"hook\"],\n  session: [\"session\", \"compaction\", \"resume\", \"snapshot\", \"continuity\"],\n  executor: [\"executor\", \"sandbox\", \"truncat\", \"polyglot\", \"timeout\"],\n  web: [\"fetch\", \"turndown\", \"html\", \"markdown\", \"url\"],\n  performance: [\"benchmark\", \"performance\", \"token\", \"context saving\"],\n};\n```\n\nUse this as a mental model — scan the issue/PR text and spawn agents for every match.\n",".claude/skills/context-mode-ops/communication.md":"# Communication Templates\n\nTone: warm, professional, technical, grateful. Always put testing responsibility on the contributor.\n\n## Issue Comments\n\n### After Fix (Standard)\n\n```markdown\nHey @{author}! 👋\n\nWe investigated this and pushed a fix in #{PR_NUMBER}.\n\n**Root cause:** {1-2 sentence technical explanation}\n\n**Fix:** {1-2 sentence description of what changed}\n\n**Affected area:** `{adapter/module path}`\n\nThis lands on the `next` branch and will ship in the next release. Once it's out, could you please test it in your setup and confirm it resolves the issue? 🙏\n\n```\nnpm update -g context-mode\n# or for plugin users:\n/context-mode:ctx-upgrade\n```\n\nThanks for reporting this — it helped improve context-mode for everyone!\n```\n\n### Needs More Information\n\n```markdown\nHey @{author}, thanks for opening this!\n\nTo investigate further, could you share:\n- Your platform (Claude Code / Gemini CLI / OpenCode / etc.)\n- context-mode version (`ctx doctor` or `npm list -g context-mode`)\n- The exact command or action that triggers this\n- Any error messages or unexpected output\n\nThis will help us reproduce and fix the issue faster. 🙏\n```\n\n### Working As Intended\n\n```markdown\nHey @{author}, thanks for raising this!\n\nThis is actually working as intended — here's why:\n\n{Technical explanation of the design decision}\n\n{If there's a workaround:}\nThat said, you can achieve what you're looking for by:\n{workaround steps}\n\n{If it's a reasonable feature request:}\nI can see why this would be useful though. I'll re-label this as a feature request so we can discuss it with the community.\n\nLet me know if you have any questions!\n```\n\n### Duplicate Issue\n\n```markdown\nHey @{author}, thanks for reporting!\n\nThis is a duplicate of #{ORIGINAL_NUMBER} which tracks the same issue. I'm closing this one to keep discussion in one place — please follow #{ORIGINAL_NUMBER} for updates.\n\nIf your case is different from what's described there, please reopen and let us know what's different!\n```\n\n### LLM Hallucination (Feature/ENV Doesn't Exist)\n\n```markdown\nHey @{author}, thanks for the detailed report!\n\nAfter investigation, it looks like `{CLAIMED_FEATURE/ENV}` doesn't actually exist in {PLATFORM}. This is a common issue where AI assistants sometimes reference features or environment variables that don't exist in the actual platform.\n\nHere's what we found:\n- {What we checked}\n- {Official docs reference showing it's not a real feature}\n\n**What actually works:**\n{The correct approach or existing alternative}\n\nNo worries at all — this kind of thing is surprisingly common! Let us know if you need help with the correct approach.\n```\n\n## PR Comments\n\n### After Merge (Clean)\n\n```markdown\nThanks for this contribution, @{author}! 🎉\n\nMerged into `next` — this will ship in the next release.\n\nCould you please test it in your setup once the release is out? You know this area best, so your verification would be really valuable. 🙏\n\nThanks for making context-mode better!\n```\n\n### After Merge (With Follow-Up Fixes)\n\n```markdown\nThanks @{author}! Merged into `next`.\n\nI made a few small adjustments on top in {commit_sha}:\n- **{change 1}:** {reason — e.g., \"aligned with existing pattern in other adapters\"}\n- **{change 2}:** {reason — e.g., \"added missing test for edge case\"}\n\nCould you review those changes and test the complete flow in your environment? Since you're closest to this use case, your verification is important. 🙏\n\nThis will ship in the next release!\n```\n\n### After Merge (Significant Fixes Needed)\n\n```markdown\nHey @{author}, thanks for putting this together! I've merged it into `next`.\n\nI did need to make some adjustments though — the core idea is solid but a few things needed fixing:\n\n**Changes I made:**\n- {change 1}: {detailed reason}\n- {change 2}: {detailed reason}\n- {change 3}: {detailed reason}\n\nThese are in {commit_sha_1} and {commit_sha_2}.\n\n**Important:** Could you please thoroughly test this in your environment? The responsibility for verifying this works end-to-end is yours since you're closest to the use case and these changes touch {what they touch}. 🙏\n\nLet me know if anything doesn't work as expected!\n```\n\n### Closing Without Merge (Rare)\n\n```markdown\nHey @{author}, thanks for taking the time to put this together — I appreciate the effort!\n\nUnfortunately we can't merge this as-is:\n- **{reason 1}:** {technical explanation}\n- **{reason 2}:** {technical explanation}\n\n{IF the work is salvageable:}\nIf you'd like to take another pass, here's what would make this mergeable:\n1. {specific guidance}\n2. {specific guidance}\n\nHappy to help if you have questions!\n\n{IF the direction is wrong:}\nThe direction we're going with {area} is {explanation}. This is to ensure {rationale}.\n\nThanks again for the contribution — hope to see more PRs from you! 🙌\n```\n\n### PR Has Hallucinated Features\n\n```markdown\nHey @{author}, thanks for this PR!\n\nWhile reviewing, I noticed that `{CLAIMED_FEATURE}` doesn't appear to exist in {PLATFORM}'s actual implementation:\n\n- Searched {PLATFORM}'s source/docs — not found\n- The ENV var `{VAR}` isn't documented or used by {PLATFORM}\n\nThis might be an AI assistant suggestion that doesn't match the real platform API. No worries — it's surprisingly common!\n\n{IF core logic is still valid:}\nThe rest of the PR looks solid though. I'll merge it and remove the non-existent parts in a follow-up.\n\n{IF the whole PR is based on the hallucination:}\nSince the core change depends on this feature, we'd need to find an alternative approach. {Suggestion for correct approach}\n\nLet me know how you'd like to proceed!\n```\n\n## Release Comments\n\n### On Issues Fixed in Release\n\n```markdown\n🎉 Released in **v{VERSION}**!\n\nPlease update and test:\n```\nnpm update -g context-mode\n# or for plugin users:\n/context-mode:ctx-upgrade\n```\n\nLet us know if this resolves your issue!\n```\n\n### Release Announcement (GitHub Release Body)\n\nThe `gh release create --generate-notes` handles this automatically. Only add a manual note if there are:\n- Breaking changes\n- Migration steps required\n- Notable new features\n\n## Tone Guidelines\n\n### DO\n\n- Start with gratitude: \"Thanks for...\"\n- Use names: \"@{author}\"\n- Be specific and technical\n- Give clear next steps\n- Use emoji sparingly (👋 🎉 🙏 at most)\n- Frame responsibility clearly but kindly\n\n### DON'T\n\n- Be passive-aggressive\n- Use corporate speak\n- Leave ambiguity about next steps\n- Promise timelines\n- Blame the contributor for mistakes\n- Use excessive emoji\n- Write walls of text — keep it concise\n",".claude/skills/context-mode-ops/marketing.md":"# Marketing workflow\n\n## Trigger\n\nUser says: \"linkedin post\", \"marketing\", \"announce release\", \"write post\", \"share update\"\n\n## Voice: Solo technical founder\n\nYou are Mert. You built context-mode alone. You write like an engineer who happens to run a product, not like a marketing team. Your audience is technical VCs, senior engineers, and open source maintainers.\n\n<writing_rules>\nMANDATORY. Every word you write must pass these rules.\n\n1. NO em dashes. Not one. Use commas, periods, or rewrite the sentence.\n2. NO promotional language: \"groundbreaking\", \"revolutionary\", \"game-changing\", \"seamless\", \"cutting-edge\"\n3. NO significance inflation: \"pivotal\", \"testament\", \"vital role\", \"evolving landscape\"\n4. NO negative parallelisms: \"not just X, it's Y\" or \"not X but Y\"\n5. NO rule of three: stop forcing ideas into groups of three\n6. NO vague attributions: \"experts say\", \"industry observers\"\n7. NO filler: \"in order to\", \"it is important to note\", \"at its core\"\n8. NO generic conclusions: \"the future looks bright\", \"exciting times ahead\"\n9. NO sycophantic tone: \"great question!\", \"I hope this helps!\"\n10. NO copula avoidance: use \"is/are/has\" instead of \"serves as/stands as/represents\"\n11. NO excessive hedging: \"could potentially possibly\"\n12. NO AI vocabulary: \"delve\", \"tapestry\", \"interplay\", \"foster\", \"landscape\" (abstract)\n13. NO boldface headers in lists\n14. NO emojis\n\nDO:\n- Start with a personal confession or specific frustration\n- Use \"I\" freely. You are one person, not a company.\n- Vary sentence length aggressively. Short. Then longer ones that breathe.\n- Be specific: exact numbers, real platform names, actual pain points\n- Acknowledge uncertainty and mixed feelings when they exist\n- Let some mess in. Rougher transitions are more human.\n- Close with a genuine belief, not a sales pitch\n</writing_rules>\n\n## Data verification: MANDATORY\n\n<data_enforcement>\nEvery number in the post MUST come from a real source. Do NOT invent metrics.\nBefore writing, read these files and use ONLY verified numbers:\n</data_enforcement>\n\n| Data point | Source |\n|-----------|--------|\n| Total users | `stats.json` field `message` |\n| npm installs | `stats.json` field `npm` |\n| Marketplace installs | `stats.json` field `marketplace` |\n| Current version | `package.json` field `version` |\n| Platform count | `src/adapters/detect.ts` (count platforms in validPlatforms array) |\n| Adapter count | `tests/adapters/` (count test files) |\n| GitHub stars | `gh api repos/mksglu/context-mode --jq '.stargazers_count'` |\n| GitHub forks | `gh api repos/mksglu/context-mode --jq '.forks_count'` |\n| Open issues | `gh issue list --state open --json number --jq 'length'` |\n| Recent release | `gh release list --limit 1` |\n\nIf you cannot verify a number, do not use it.\n\n## Workflow\n\n### 1. Gather real data (via agent)\n\nSpawn a Data Engineer agent to collect all numbers from the sources above. Wait for verified data before writing anything.\n\n### 2. Identify what changed\n\nRead the latest commits, release notes, or user request to understand what is being announced.\n\n### 3. Write draft\n\nFollow the writing rules above. Structure:\n\n```\nHook (personal, specific pain or confession)\nContext (what is context-mode, real numbers)\nProblem (specific frustration, not abstract)\nSolution (what you built, how it works technically)\nTechnical details (casual, woven in, not a spec sheet)\nBelief (where this is going, honest, not hype)\nLinks (repo + install command)\n```\n\n### 4. Anti-AI audit\n\nAfter writing, ask yourself:\n- Would a real founder post this or would they cringe?\n- Is every number verified?\n- Are there any em dashes? (search for the character)\n- Any \"pivotal\", \"testament\", \"landscape\", \"foster\", \"delve\"?\n- Any lists of exactly three items forced together?\n- Does it sound like it was assembled or like someone actually wrote it?\n\nFix every issue found.\n\n### 5. Output\n\nWrite the final post to a file: `linkedin-post-v{VERSION}.md`\n\nInclude three sections in the file:\n1. Final post text (ready to paste into LinkedIn)\n2. Data sources used (which files/commands provided which numbers)\n3. AI pattern audit results (what was caught and fixed)\n\n## Examples of good vs bad\n\nBad (AI-generated):\n\"We're thrilled to announce context-mode v1.0.57, a groundbreaking update that represents a pivotal moment in the evolution of AI-powered development tools. This release showcases our commitment to innovation, performance, and developer experience.\"\n\nGood (founder voice):\n\"I have a confession. I built a tool used by 57,000+ developers and I was drowning in GitHub issues.\"\n\nBad:\n\"The technical architecture features a robust FTS5 search engine, a polyglot execution sandbox, and a dynamic agent orchestration layer, ensuring seamless integration across platforms.\"\n\nGood:\n\"Some numbers on the tech side: FTS5 search with BM25 ranking, sandbox execution in 11 languages, session state survives context window compactions through SQLite event tracking.\"\n\nBad:\n\"This innovative solution serves as a testament to the transformative potential of AI-native infrastructure.\"\n\nGood:\n\"Solo maintainers will run engineering orgs made of agents. Not because it sounds cool on a slide, but because the alternative is burnout.\"\n",".claude/skills/context-mode-ops/release.md":"# Release Workflow\n\n## Trigger\n\nUser says: \"release\", \"version bump\", \"npm publish\", \"ship it\"\n\n## Pre-Flight Checks\n\nBefore ANY release action, verify:\n\n```bash\n# Must be on main branch\ngit branch --show-current  # expect: main\n\n# Must be clean\ngit status --porcelain  # expect: empty\n\n# Must be up to date\ngit pull origin main\n```\n\n## Step-by-Step\n\n### 1. Validate Codebase (Parallel Agents)\n\nSpawn these agents simultaneously:\n\n| Agent | Task |\n|-------|------|\n| **QA Engineer** | Run `npm test` + `npm run typecheck` — report full pass/fail |\n| **Security Engineer** | Check for any open security issues, audit recent changes |\n| **Release Engineer** | Check current version, changelog, unreleased commits |\n| **DX Engineer** | Verify README is current, install instructions work |\n\nAll must report PASS before proceeding.\n\n### 1b. Grill-Me Review — MANDATORY BLOCKING GATE\n\n**Before ANY version bump, the EM MUST run a grill-me interview on all changes in this release.**\n\nThis is not optional. This is not skippable. Every release gets grilled.\n\nInterview the user relentlessly about every aspect of the changes until reaching shared understanding. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one. For each question, provide your recommended answer. Ask questions one at a time. If a question can be answered by exploring the codebase, explore the codebase instead of asking.\n\n**The release is BLOCKED until:**\n- [ ] All branches of the design tree are resolved\n- [ ] Zero unresolved questions remain\n- [ ] User explicitly approves the grill results\n\nOnly after grill-me approval: proceed to version bump.\n\n### 2. Version Bump — MANDATORY\n\n<version_bump_enforcement>\nYou MUST run `npm version patch`. This is NOT optional. Do NOT skip this step.\nDo NOT manually edit package.json version. Do NOT create git tags manually.\n`npm version patch` does EVERYTHING — bump, sync manifests, stage, commit, tag.\n</version_bump_enforcement>\n\n```bash\nnpm version patch\n```\n\nThis single command does ALL of the following automatically:\n1. Bumps `package.json` version (e.g., 1.0.56 → 1.0.57)\n2. Triggers `version` lifecycle hook → runs `scripts/version-sync.mjs`\n3. `version-sync.mjs` syncs version to ALL 6 manifest files:\n   - `.claude-plugin/plugin.json`\n   - `.claude-plugin/marketplace.json`\n   - `.openclaw-plugin/openclaw.plugin.json`\n   - `.openclaw-plugin/package.json`\n   - `openclaw.plugin.json`\n   - `.pi/extensions/context-mode/package.json`\n4. Stages the manifest files via `git add`\n5. Creates a git commit and `v{VERSION}` tag\n\n**Do NOT create your own commit or tag. `npm version patch` handles it.**\n\n### 3. Validate (NO Build Needed)\n\n**Do NOT run `npm run build` or `npm run bundle`.** CI generates bundle files automatically on GitHub. You only validate:\n\n```bash\n# Tests\nnpm test\n\n# TypeScript\nnpm run typecheck\n```\n\n### 4. Git Tag & GitHub Release\n\n<release_title_convention enforcement=\"MANDATORY\">\nThe GitHub release title MUST be the bare version tag — nothing else.\n\n  CORRECT:    `v1.0.151`\n  WRONG:      `v1.0.151 — VS Code Copilot cwd cascade + fan-out gate`\n  WRONG:      `v1.0.151: stats accuracy hotfix`\n  WRONG:      `v1.0.151 (hotfix)`\n\nRationale: title length matters for npm/registry feed rendering, RSS,\nrelease-list pages, and the GitHub UI sidebar — all of which truncate.\nThe version is the load-bearing identifier; descriptive copy belongs in\nthe release body where it has room to breathe. Inconsistent titles also\nbreak downstream tooling that greps releases by name pattern.\n\nUse `--title \"v{VERSION}\"` verbatim. Never inline a description. If\nthe release deserves a headline, lead the BODY with an H2 — title field\nstays pure version.\n</release_title_convention>\n\n```bash\n# The npm version command already created a git tag\n# Verify it exists:\ngit tag --list 'v*' | tail -5\n\n# Push the commit and tag\ngit push origin main --tags\n\n# Create GitHub release — title field is the bare version, body carries\n# the description. Title convention is non-negotiable (see block above).\ngh release create v{VERSION} \\\n  --title \"v{VERSION}\" \\\n  --generate-notes \\\n  --latest\n```\n\n### 5. npm Publish (Local)\n\n**⚠️ REQUIRES USER APPROVAL — ask before running.**\n\n```bash\n# Dry run first\nnpm publish --dry-run\n\n# If dry run looks good, publish\nnpm publish\n```\n\nVerify publication:\n```bash\nnpm view context-mode version  # should show new version\n```\n\n### 6. Sync Branches\n\nSync `next` with `main` to ensure next has all release changes:\n\n```bash\n# Fetch latest\ngit fetch origin\n\n# Merge main into next\ngit checkout next\ngit pull origin next\ngit merge main --no-edit\n\n# Push\ngit push origin next\n\n# Return to main\ngit checkout main\n```\n\n**If merge conflict:** Resolve in favor of `main` (release branch is authoritative).\n\n### 7. Clean Remote Branches\n\n**⚠️ REQUIRES USER APPROVAL for EACH branch.**\n\nList stale remote branches (everything except `main` and `next`):\n\n```bash\n# List remote branches excluding main and next\ngit branch -r | grep -v 'origin/main' | grep -v 'origin/next' | grep -v 'origin/HEAD'\n```\n\nFor each branch, ask the user:\n```\nRemote branch: origin/{branch-name}\nLast commit: {date} — {message}\nRelated PR: #{number} ({state})\n\nDelete this branch? [y/n]\n```\n\nOnly delete after explicit approval:\n```bash\ngit push origin --delete {branch-name}\n```\n\n## Release Checklist (EM Verification)\n\nBefore declaring release complete:\n\n- [ ] `npm test` — all pass\n- [ ] `npm run typecheck` — no errors\n- [ ] `npm version patch` — version bumped in all manifests\n- [ ] `git push origin main --tags` — pushed with tag (CI builds bundles automatically)\n- [ ] `gh release create` — GitHub release published\n- [ ] `npm publish` — package on npm registry\n- [ ] `next` branch synced with `main`\n- [ ] Stale remote branches cleaned (user approved)\n- [ ] Verify: `npm view context-mode version` shows new version\n\n## Rollback Plan\n\nIf something goes wrong after publish:\n\n```bash\n# Unpublish within 72 hours (npm policy)\nnpm unpublish context-mode@{BAD_VERSION}\n\n# Or deprecate\nnpm deprecate context-mode@{BAD_VERSION} \"Known issue: {description}\"\n\n# Revert git\ngit revert HEAD\ngit push origin main\n```\n\n## Post-Release\n\nAfter successful release:\n\n1. Comment on all issues fixed in this release:\n   ```\n   Released in v{VERSION}! Please update and test:\n   npm update -g context-mode\n   ```\n\n2. Update Discord if there are noteworthy changes\n\n3. Check npm download stats in 24h for any anomalies\n",".claude/skills/context-mode-ops/review-pr.md":"# Review PR Workflow\n\n## Trigger\n\nUser says: \"review PR #N\", \"merge PR #N\", \"check PR #N\"\n\n## Core Philosophy\n\n**Merge first, fix on top.** Contributors ghost when you request changes. Merge their work (if not absurd), then fix issues in follow-up commits. This keeps momentum and respects their effort.\n\n**Exception:** Only reject if the PR introduces a security vulnerability, breaks core functionality beyond repair, or is completely unrelated to the project.\n\n## Step-by-Step\n\n### 1. Gather Intelligence (ONE batch call)\n\n```javascript\ncommands: [\n  { label: \"pr-body\", command: \"gh pr view {N} --json title,body,state,author,baseRefName,headRefName,additions,deletions,files,reviews,comments,labels\" },\n  { label: \"pr-diff\", command: \"gh pr diff {N}\" },\n  { label: \"pr-comments\", command: \"gh pr view {N} --comments\" },\n  { label: \"pr-checks\", command: \"gh pr checks {N}\" },\n  { label: \"pr-files\", command: \"gh pr view {N} --json files --jq '.files[].path'\" },\n  { label: \"related-issue\", command: \"gh pr view {N} --json body --jq '.body' | grep -oP '#\\\\d+' | head -5\" }\n],\nqueries: [\n  \"PR title description changes\",\n  \"files modified adapter platform\",\n  \"diff code changes additions deletions\",\n  \"review comments feedback\",\n  \"CI check status pass fail\",\n  \"related issues referenced\"\n]\n```\n\n### 2. Classify & Spawn Agents\n\nSame classification as [triage-issue.md](triage-issue.md) step 2, but based on PR diff:\n\n```\nALWAYS spawn:\n├── Context Mode Architect (reviews all changes)\n├── QA Engineer (tests everything)\n├── DX Engineer (output quality check)\n\nBASED ON FILES CHANGED:\n├── {Platform} Architect (for each affected adapter)\n├── Validation Engineer (verify ENV vars, hooks, configs via websearch)\n\nBASED ON CONTENT:\n├── {Domain} Architect (database, security, OS, hooks, session, etc.)\n```\n\n**Critical addition for PRs — Validation Engineer:**\n\nThis agent specifically validates claims made in the PR:\n- ENV variables actually exist in the target platform\n- Hook formats match the platform's actual API\n- Config paths are real, not LLM hallucinations\n- Features referenced actually exist in the platform's codebase\n\nUses WebSearch and Context7 to verify against official docs.\n\n### 3. Validation Phase (Parallel)\n\nAll agents run simultaneously:\n\n**Context Mode Architect:**\n- Does the change align with project architecture?\n- Does it follow existing patterns?\n- Are there edge cases the author missed?\n- Is session continuity preserved?\n- **TDD compliance**: Does the PR include tests? Do tests verify behavior (not implementation)?\n  - If no tests: flag as CHANGES_NEEDED (but still merge + add tests in follow-up)\n  - If tests mock internal collaborators: flag — tests should use public interfaces per [tdd.md](tdd.md)\n\n**QA Engineer:**\n```shell\n# Checkout PR locally\ngh pr checkout {N}\n\n# Run affected adapter tests\nnpx vitest run tests/adapters/{affected}.test.ts\n\n# Run full suite\nnpm test\n\n# TypeScript\nnpm run typecheck\n```\n\n**Validation Engineer:**\n```javascript\n// For each ENV var mentioned in the PR:\n// 1. Grep for it in context-mode source\n// 2. WebSearch: \"{PLATFORM_NAME} {ENV_VAR} environment variable\"\n// 3. Context7: resolve-library-id for the platform, then query-docs\n\n// Example: PR adds OPENCODE_CONFIG_PATH\n// → Search OpenCode source: does this env var exist?\n// → If not: flag as potential LLM hallucination\n```\n\n**Platform Architects:**\n- Review changes specific to their platform\n- Validate against platform's actual hook/config format\n- Check backward compatibility\n\n### 4. Merge Decision Matrix\n\n```\nAll tests pass + All architects APPROVE?\n├── YES → Merge immediately\n│\n├── TESTS FAIL but fix is trivial?\n│   └── Merge → Fix on top in follow-up commit\n│\n├── ARCHITECT has minor concerns?\n│   └── Merge → Fix concerns in follow-up commit\n│\n├── VALIDATION catches hallucinated ENV/feature?\n│   └── Merge if core logic is sound → Remove hallucinated parts\n│   └── OR: Comment explaining the issue, give 48h, then merge+fix\n│\n├── SECURITY issue found?\n│   └── Do NOT merge. Comment with specific vulnerability.\n│\n└── PR is completely off-base?\n    └── Close with kind explanation. Rare — almost never do this.\n```\n\n### 5. Merge to `next` & Fix Flow\n\nAlways use `gh` CLI. Always squash merge into `next`:\n\n```bash\n# Change PR base to next if needed\ngh pr edit {N} --base next\n\n# Squash merge into next\ngh pr merge {N} --squash\n```\n\nIf follow-up fixes needed, push directly to `next`:\n\n```bash\ngit checkout next\ngit pull origin next\n```\n\n**Follow-up fixes MUST follow TDD** (per [tdd.md](tdd.md)):\n\n```bash\n# RED: Write failing test for the issue found during review\nnpx vitest run tests/{file}.test.ts  # verify FAILS\n\n# GREEN: Write minimal fix\n# ... edit files ...\nnpx vitest run tests/{file}.test.ts  # verify PASSES\n\n# REFACTOR: Clean up\nnpm test  # full suite still passes\n\n# Commit\ngit add {files}\ngit commit -m \"fix: address review findings from #{N}\n\n- {fix 1}\n- {fix 2}\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\"\n\ngit push origin next\n```\n\n### 6. Comment on PR\n\n**After merge (standard):**\n\n```bash\ngh pr comment {N} --body \"$(cat <<'EOF'\nThanks for this contribution, @{author}! 🎉\n\nMerged into `next` — this will ship in the next release.\n\nCould you please test it in your setup once the release is out? You know this area best, so your verification would be really valuable. 🙏\n\n{IF follow-up fixes were made:}\nI made a small follow-up adjustment in {commit_sha}:\n- {what was adjusted and why}\nEOF\n)\"\n```\n\n**After merge with concerns:**\n\n```bash\ngh pr comment {N} --body \"$(cat <<'EOF'\nThanks @{author}! Merged this into `next`.\n\nI made a few adjustments on top:\n- {change 1}: {reason}\n- {change 2}: {reason}\n\nThese are in {commit_sha}. Could you review those changes and test the complete flow in your environment? The responsibility for verifying this works end-to-end is on you since you're closest to the use case. 🙏\n\nThis will ship in the next release!\nEOF\n)\"\n```\n\n**Rare: closing without merge:**\n\n```bash\ngh pr comment {N} --body \"$(cat <<'EOF'\nHey @{author}, thanks for taking the time to put this together!\n\nUnfortunately, we can't merge this as-is because:\n- {specific technical reason}\n\n{IF salvageable:}\nIf you'd like to take another pass, here's what would need to change:\n- {specific guidance}\n\n{IF not salvageable:}\nThe direction we're going with this area is {explanation}. I appreciate the effort though!\nEOF\n)\"\ngh pr close {N}\n```\n\n## ENV/Feature Validation Protocol\n\nThis is the most critical part of PR review. LLMs frequently hallucinate ENV vars, hooks, and features.\n\n### Red Flags to Watch For\n\n1. **New ENV variable** — Does this actually exist in the platform?\n2. **New hook type** — Does the platform support this hook lifecycle?\n3. **Config path** — Is this the real config location?\n4. **API endpoint** — Does this API actually exist?\n5. **Feature flag** — Is this a real feature of the platform?\n\n### Verification Steps\n\nFor EACH claim in the PR:\n\n1. **Grep source**: `rg \"{CLAIM}\" src/` — is it already used?\n2. **WebSearch**: Search for official documentation of the claim\n3. **Context7**: `resolve-library-id` → `query-docs` for the platform\n4. **GitHub source**: Check the platform's actual repository if open source\n\n### Example: Fake ENV Detection\n\n```\nPR adds: process.env.OPENCODE_HOOK_PATH\nStep 1: rg \"OPENCODE_HOOK_PATH\" src/ → not found\nStep 2: WebSearch \"OpenCode OPENCODE_HOOK_PATH environment variable\" → no results\nStep 3: Context7 query OpenCode docs for \"HOOK_PATH\" → not documented\nVerdict: HALLUCINATED — flag to EM, remove from PR\n```\n\n## Handling Stale PRs\n\nIf a PR has been open >7 days with no activity:\n1. Check if it's still relevant\n2. If yes: merge it, fix on top\n3. If no: close with kind explanation\n4. Never leave PRs in limbo\n",".claude/skills/context-mode-ops/tdd.md":"# Test-Driven Development\n\n<tdd_enforcement>\nTHIS FILE IS MANDATORY. Every agent, every Staff Engineer, every Architect MUST follow this.\nIf you skip TDD, your work will be REJECTED. There are no exceptions.\nDo NOT write implementation code before you have a failing test.\n</tdd_enforcement>\n\n> Source: [mattpocock/skills/tdd](https://github.com/mattpocock/skills/tree/main/tdd) — embedded with context-mode enforcement.\n\n## Philosophy\n\n**Core principle**: Tests should verify behavior through public interfaces, not implementation details. Code can change entirely; tests shouldn't.\n\n**Good tests** are integration-style: they exercise real code paths through public APIs. They describe _what_ the system does, not _how_ it does it. A good test reads like a specification — \"user can checkout with valid cart\" tells you exactly what capability exists. These tests survive refactors because they don't care about internal structure.\n\n**Bad tests** are coupled to implementation. They mock internal collaborators, test private methods, or verify through external means (like querying a database directly instead of using the interface). The warning sign: your test breaks when you refactor, but behavior hasn't changed. If you rename an internal function and tests fail, those tests were testing implementation, not behavior.\n\n## Anti-Pattern: Horizontal Slices\n\n**DO NOT write all tests first, then all implementation.** This is \"horizontal slicing\" — treating RED as \"write all tests\" and GREEN as \"write all code.\"\n\nThis produces **crap tests**:\n\n- Tests written in bulk test _imagined_ behavior, not _actual_ behavior\n- You end up testing the _shape_ of things (data structures, function signatures) rather than user-facing behavior\n- Tests become insensitive to real changes — they pass when behavior breaks, fail when behavior is fine\n- You outrun your headlights, committing to test structure before understanding the implementation\n\n**Correct approach**: Vertical slices via tracer bullets. One test → one implementation → repeat. Each test responds to what you learned from the previous cycle. Because you just wrote the code, you know exactly what behavior matters and how to verify it.\n\n```\nWRONG (horizontal):\n  RED:   test1, test2, test3, test4, test5\n  GREEN: impl1, impl2, impl3, impl4, impl5\n\nRIGHT (vertical):\n  RED→GREEN: test1→impl1\n  RED→GREEN: test2→impl2\n  RED→GREEN: test3→impl3\n  ...\n```\n\n## Workflow\n\n### 1. Planning\n\nBefore writing any code:\n\n- [ ] Identify what behaviors need to change or be added\n- [ ] List the behaviors to test (not implementation steps)\n- [ ] Identify opportunities for deep modules (small interface, deep implementation)\n- [ ] Design interfaces for testability\n\n**You can't test everything.** Focus testing effort on critical paths and complex logic, not every possible edge case.\n\n### 2. Tracer Bullet\n\nFor the first behavior:\n\n```\nRED:   Write test for first behavior → test fails\nGREEN: Write minimal code to pass → test passes\n```\n\nThen refactor:\n\n- [ ] Extract duplication\n- [ ] Deepen modules (move complexity behind simple interfaces)\n- [ ] Apply SOLID principles where natural\n- [ ] Consider what new code reveals about existing code\n- [ ] Run tests after each refactor step\n\n**Never refactor while RED.** Get to GREEN first.\n\n### 3. Next Behavior\n\n```\nRED:   Write next test → fails\nGREEN: Minimal code to pass → passes\n```\n\nRefactor again. Repeat until all behaviors are covered.\n\n---\n\n## Good and Bad Tests\n\n### Good Tests (Integration-Style)\n\n```typescript\n// GOOD: Tests observable behavior\ntest(\"user can checkout with valid cart\", async () => {\n  const cart = createCart();\n  cart.add(product);\n  const result = await checkout(cart, paymentMethod);\n  expect(result.status).toBe(\"confirmed\");\n});\n```\n\nCharacteristics:\n\n- Tests behavior users/callers care about\n- Uses public API only\n- Survives internal refactors\n- Describes WHAT, not HOW\n- One logical assertion per test\n\n### Bad Tests (Implementation-Coupled)\n\n```typescript\n// BAD: Tests implementation details\ntest(\"checkout calls paymentService.process\", async () => {\n  const mockPayment = jest.mock(paymentService);\n  await checkout(cart, payment);\n  expect(mockPayment.process).toHaveBeenCalledWith(cart.total);\n});\n```\n\nRed flags:\n\n- Mocking internal collaborators\n- Testing private methods\n- Asserting on call counts/order\n- Test breaks when refactoring without behavior change\n- Test name describes HOW not WHAT\n- Verifying through external means instead of interface\n\n```typescript\n// BAD: Bypasses interface to verify\ntest(\"createUser saves to database\", async () => {\n  await createUser({ name: \"Alice\" });\n  const row = await db.query(\"SELECT * FROM users WHERE name = ?\", [\"Alice\"]);\n  expect(row).toBeDefined();\n});\n\n// GOOD: Verifies through interface\ntest(\"createUser makes user retrievable\", async () => {\n  const user = await createUser({ name: \"Alice\" });\n  const retrieved = await getUser(user.id);\n  expect(retrieved.name).toBe(\"Alice\");\n});\n```\n\n---\n\n## When to Mock\n\nMock at **system boundaries** only:\n\n- External APIs (payment, email, etc.)\n- Databases (sometimes — prefer test DB)\n- Time/randomness\n- File system (sometimes)\n\nDon't mock:\n\n- Your own classes/modules\n- Internal collaborators\n- Anything you control\n\n### Designing for Mockability\n\n**1. Use dependency injection**\n\nPass external dependencies in rather than creating them internally:\n\n```typescript\n// Easy to mock\nfunction processPayment(order, paymentClient) {\n  return paymentClient.charge(order.total);\n}\n\n// Hard to mock\nfunction processPayment(order) {\n  const client = new StripeClient(process.env.STRIPE_KEY);\n  return client.charge(order.total);\n}\n```\n\n**2. Prefer SDK-style interfaces over generic fetchers**\n\nCreate specific functions for each external operation instead of one generic function with conditional logic:\n\n```typescript\n// GOOD: Each function is independently mockable\nconst api = {\n  getUser: (id) => fetch(`/users/${id}`),\n  getOrders: (userId) => fetch(`/users/${userId}/orders`),\n  createOrder: (data) => fetch('/orders', { method: 'POST', body: data }),\n};\n\n// BAD: Mocking requires conditional logic inside the mock\nconst api = {\n  fetch: (endpoint, options) => fetch(endpoint, options),\n};\n```\n\nThe SDK approach means:\n- Each mock returns one specific shape\n- No conditional logic in test setup\n- Easier to see which endpoints a test exercises\n- Type safety per endpoint\n\n---\n\n## Interface Design for Testability\n\nGood interfaces make testing natural:\n\n1. **Accept dependencies, don't create them**\n\n   ```typescript\n   // Testable\n   function processOrder(order, paymentGateway) {}\n\n   // Hard to test\n   function processOrder(order) {\n     const gateway = new StripeGateway();\n   }\n   ```\n\n2. **Return results, don't produce side effects**\n\n   ```typescript\n   // Testable\n   function calculateDiscount(cart): Discount {}\n\n   // Hard to test\n   function applyDiscount(cart): void {\n     cart.total -= discount;\n   }\n   ```\n\n3. **Small surface area**\n   - Fewer methods = fewer tests needed\n   - Fewer params = simpler test setup\n\n---\n\n## Deep Modules\n\nFrom \"A Philosophy of Software Design\":\n\n**Deep module** = small interface + lots of implementation\n\n```\n┌─────────────────────┐\n│   Small Interface   │  ← Few methods, simple params\n├─────────────────────┤\n│                     │\n│                     │\n│  Deep Implementation│  ← Complex logic hidden\n│                     │\n│                     │\n└─────────────────────┘\n```\n\n**Shallow module** = large interface + little implementation (avoid)\n\n```\n┌─────────────────────────────────┐\n│       Large Interface           │  ← Many methods, complex params\n├─────────────────────────────────┤\n│  Thin Implementation            │  ← Just passes through\n└─────────────────────────────────┘\n```\n\nWhen designing interfaces, ask:\n\n- Can I reduce the number of methods?\n- Can I simplify the parameters?\n- Can I hide more complexity inside?\n\n---\n\n## Refactor Candidates\n\nAfter TDD cycle, look for:\n\n- **Duplication** → Extract function/class\n- **Long methods** → Break into private helpers (keep tests on public interface)\n- **Shallow modules** → Combine or deepen\n- **Feature envy** → Move logic to where data lives\n- **Primitive obsession** → Introduce value objects\n- **Existing code** the new code reveals as problematic\n\n---\n\n## context-mode Specific Rules\n\n### CONTRIBUTING.md Is the Authority\n\n**Read `CONTRIBUTING.md` before writing any test.** It defines:\n- Test file organization (which file to put your test in)\n- TDD workflow (Red-Green-Refactor)\n- Output quality comparison (before/after)\n- Local development setup\n\n**Do NOT create new test files.** `CONTRIBUTING.md` has the complete test file mapping. Add your tests to the existing file that covers the same domain. If no file fits, ask the maintainer.\n\n### CI Builds Bundles — You Don't\n\n**Do NOT run `npm run build` or `npm run bundle`.** Bundle files (`server.bundle.mjs`, `cli.bundle.mjs`) are generated by GitHub CI automatically. Never create, modify, or push bundle files. You only run:\n\n```bash\nnpm test              # vitest — validates behavior\nnpm run typecheck     # tsc --noEmit — validates types\n```\n\nThat's it. No build. No bundle. CI handles the rest.\n\n### TDD Enforcement in Subagents\n\nEvery Staff Engineer agent MUST include this in their prompt:\n\n```\nMANDATORY TDD — your work will be REJECTED without this:\n1. Read CONTRIBUTING.md for test file organization — do NOT create new test files\n2. Write a failing test FIRST in the correct existing test file\n3. Run: npx vitest run tests/{file} — MUST FAIL\n4. Write minimal code to pass\n5. Run: npx vitest run tests/{file} — MUST PASS\n6. Refactor if needed, tests stay green\n7. Report RED→GREEN evidence:\n   \"RED:  test 'detects opencode via env var' — FAIL (expected)\"\n   \"GREEN: added env check in detect.ts — PASS\"\n   Without this evidence, your PR is auto-rejected.\n```\n",".claude/skills/context-mode-ops/triage-issue.md":"# Triage Issue Workflow\n\n## Trigger\n\nUser says: \"triage issue #N\", \"fix issue #N\", \"analyze issue #N\"\n\n## Step-by-Step\n\n### 1. Gather Intelligence (ONE batch call)\n\nUse `ctx_batch_execute` to gather everything in ONE call:\n\n```javascript\ncommands: [\n  { label: \"issue-body\", command: \"gh issue view {N} --json title,body,labels,state,comments,author,createdAt\" },\n  { label: \"issue-comments\", command: \"gh issue view {N} --comments\" },\n  { label: \"recent-related-prs\", command: \"gh pr list --state all --limit 10 --json number,title,state,headRefName\" },\n  { label: \"source-tree\", command: \"find src -type f -name '*.ts' | sort\" },\n  { label: \"test-tree\", command: \"find tests -type f -name '*.test.ts' | sort\" },\n  { label: \"open-issues\", command: \"gh issue list --state open --limit 20 --json number,title,labels\" }\n],\nqueries: [\n  \"issue title description problem\",\n  \"affected adapter platform\",\n  \"error message stack trace\",\n  \"environment variables mentioned\",\n  \"OS platform specific\",\n  \"related PRs and issues\"\n]\n```\n\n### 2. Classify Domains\n\nFrom the gathered intelligence, identify:\n\n- [ ] **Affected adapters** — which of the 12 platforms?\n- [ ] **Affected OS** — macOS, Linux, Windows, or all?\n- [ ] **Core modules** — server, store, executor, session, hooks?\n- [ ] **Issue type** — bug, feature request, question, discussion?\n- [ ] **Severity** — breaking (can't use tool), degraded (works but wrong), cosmetic\n\n### 3. Spawn Agent Army\n\nBased on classification, spawn from [agent-teams.md](agent-teams.md):\n\n```\nALWAYS spawn:\n├── Context Mode Architect (reviews everything)\n├── QA Engineer (runs all tests)\n├── DX Engineer (checks user-facing quality)\n├── Git Archaeologist (bug/regression only — blame trail, read-only, gates the fix)\n\nIF adapter X is affected:\n├── {X} Architect\n├── {X} Staff Engineer\n\nIF OS-specific:\n├── OS Compatibility Architect\n├── {macOS|Linux|Windows} Staff Engineer\n\nIF domain-specific:\n├── {Domain} Architect\n└── (Staff Engineer if code changes needed)\n```\n\n**Example: Issue #208 \"CLI upgrade full support for Opencode/Kilocode\"**\n```\nAgents to spawn:\n1. Context Mode Architect\n2. QA Engineer\n3. DX Engineer\n4. OpenCode Architect\n5. OpenCode Staff Engineer\n6. Kilo Architect\n7. Kilo Staff Engineer\n8. Hooks Architect (CLI upgrade touches hooks)\n9. OS Compatibility Architect (CLI runs on all OS)\n```\n\n### 4. Claim Verification — BLOCKING GATE\n\n<claim_verification_enforcement>\nSTOP. Before ANY agent writes implementation code, the claim in the issue MUST be verified\nwith hard evidence. We shipped inheritEnvKeys because an LLM said Claude Code strips env vars\n— it doesn't. We got burned shipping a fix for an unverified claim. Never again.\n</claim_verification_enforcement>\n\n**Every issue makes a claim. Verify it BEFORE coding.**\n\n| Issue Type | Required Evidence | How to Get It |\n|------------|-------------------|---------------|\n| **Bug report** | Reproduce locally with a failing test or command | Run the exact steps from the report. If it doesn't fail, the bug may not exist. |\n| **Feature request claiming behavior X** | Prove behavior X actually happens | Check official docs, source code, or web search. NOT LLM knowledge — LLMs hallucinate platform behavior. |\n| **Feature request claiming perf issue** | Benchmark the actual impact | Measure before/after. No \"it should be faster\" — show numbers. |\n| **\"Tool X sets env var Y\"** | Find it in official source | `ctx_fetch_and_index` the platform's docs/source. Grep their repo. If you can't find it, it probably doesn't exist. |\n\n**Verification Steps:**\n\n1. **Architect agents** must produce a `CLAIM_VERDICT` before any Staff Engineer writes code:\n   ```\n   CLAIM: \"{exact claim from the issue}\"\n   EVIDENCE: {link to official doc, source file, or reproduction output}\n   VERDICT: CONFIRMED | UNCONFIRMED | HALLUCINATED\n   ```\n\n2. If `VERDICT: UNCONFIRMED` — do NOT implement. Instead, comment on the issue:\n   ```\n   We couldn't reproduce/verify this claim. Could you provide:\n   - Debug output from: npx context-mode doctor (or ctx-debug.sh)\n   - Exact steps to reproduce\n   - Platform version and OS\n\n   We want to fix this but need to confirm the problem exists first.\n   ```\n\n3. If `VERDICT: HALLUCINATED` — the reporter (or their LLM) made up a behavior that doesn't exist. Comment kindly explaining the misunderstanding. Close with \"working as intended\" if appropriate.\n\n4. Only `VERDICT: CONFIRMED` proceeds to the Investigation Phase below.\n\n**The `ctx-debug.sh` script exists for exactly this purpose.** When in doubt, ask the reporter to run it and paste the output.\n\n### 5. Investigation Phase (Parallel)\n\nAll agents investigate simultaneously:\n\n**Git Archaeologist** runs the blame trail FIRST (read-only):\n- Find the commit that introduced the reported behavior (`git log -S`, `git blame`)\n- Read that commit's message + linked PR — what original problem did it solve?\n- Decide if a naive fix would re-break that original fix\n- Report: ARCHAEOLOGY_REPORT (INTRODUCED_BY, ORIGINAL_INTENT, REGRESSION_RISK, SAFE_FIX_CONSTRAINTS)\n- **Staff Engineers MUST read this report before writing any fix** — see [agent-teams.md](agent-teams.md)\n\n**Architects** research:\n- Read relevant source files\n- Check if claimed behavior actually exists\n- Validate ENV vars against real platform docs (use WebSearch + Context7)\n- Review related closed issues for prior art\n- Report: FINDINGS with specific file:line references\n\n**Staff Engineers** prepare (TDD-first per [tdd.md](tdd.md)):\n- Read the code that needs changing\n- **RED**: Write a failing test that reproduces the bug / specifies new behavior\n- Run test — verify it **FAILS** (if it passes, the test is useless)\n- **GREEN**: Write minimal code to make the test pass\n- Run test — verify it **PASSES**\n- **REFACTOR**: Clean up while keeping tests green\n- Repeat for each behavior (vertical slices, never horizontal)\n- Run full affected adapter tests\n- Report: DRAFT_FIX with RED→GREEN evidence for each behavior\n\n### 6. Ping-Pong Review\n\nRoute Staff Engineer outputs to their paired Architects:\n\n```\nEM reads Staff Engineer result\n  → Sends to Architect via Agent(SendMessage)\n  → Architect reviews: APPROVED or CHANGES_NEEDED\n  → If CHANGES_NEEDED: route back to Staff Engineer\n  → Max 2 rounds, then EM decides\n```\n\n### 7. Validate (QA Engineer)\n\nQA Engineer runs the full validation matrix:\n\n```shell\n# All adapter tests\nnpx vitest run tests/adapters/\n\n# Core tests\nnpx vitest run tests/core/\n\n# Full suite\nnpm test\n\n# TypeScript\nnpm run typecheck\n```\n\nReport as a matrix:\n\n```\nAdapter Tests:\n  ✓ claude-code    ✓ gemini-cli    ✓ opencode\n  ✓ openclaw       ✓ kilo          ✓ codex\n  ✓ vscode-copilot ✓ cursor        ✓ antigravity\n  ✓ kiro           ✓ pi            ✓ zed\n\nCore Tests:    ✓ routing  ✓ search  ✓ server  ✓ cli\nTypeScript:    ✓ no errors\nFull Suite:    ✓ 47/47 passed\n```\n\n### 8. Push Directly to `next`\n\n**Do NOT open a PR.** Push fixes directly to the `next` branch:\n\n```bash\n# Ensure we're on next\ngit checkout next\ngit pull origin next\n\n# Apply changes from worktree agents\n# ... (merge worktree changes)\n\n# Commit with issue reference\ngit commit -m \"fix: {concise description} (closes #{N})\n\n- {what was broken}\n- {what was fixed}\n- {which adapters/modules affected}\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\"\n\n# Push to next\ngit push origin next\n```\n\n### 9. Comment on Issue & Close\n\nAfter pushing to `next`, comment and **close the issue immediately**:\n\n```bash\ngh issue comment {N} --body \"$(cat <<'EOF'\nHey @{author}! 👋\n\nWe investigated this and pushed a fix to the `next` branch ({commit_sha}).\n\n**What was happening:** {technical explanation of the root cause}\n\n**What we fixed:** {technical explanation of the fix}\n\n**Affected area:** {adapter/module names}\n\nThis will ship in the next release. Once it's out, could you please test it in your setup and let us know if it resolves the issue? 🙏\n\nIf the fix doesn't work for you, feel free to reopen this issue.\n\nThanks for reporting this!\nEOF\n)\"\n\n# Close the issue — fix is pushed, job done\ngh issue close {N}\n```\n\n## Decision Tree: Fix vs. Wontfix vs. Needs Info\n\n```\nIssue makes a claim about platform behavior?\n├── YES → Run Claim Verification (Step 4) FIRST\n│   ├── CONFIRMED → Fix it (steps 5-9 above)\n│   ├── UNCONFIRMED → Request evidence (ctx-debug.sh output, repro steps)\n│   └── HALLUCINATED → Explain kindly, close if appropriate\n│\nIssue is clear and reproducible (no behavioral claim)?\n├── YES → Fix it (steps 5-9 above)\n├── UNCLEAR → Comment asking for reproduction steps\n│   └── Template: \"Could you share the exact command/config that triggers this?\"\n└── BY DESIGN → Explain why, close with \"working as intended\" label\n    └── Be kind — explain the design decision\n```\n\n## Edge Cases\n\n### Issue references a feature that doesn't exist\nThe issue author may have been told by an LLM that a feature exists when it doesn't. Use [validation.md](validation.md) ENV verification to catch this. Comment explaining the misunderstanding kindly.\n\n### Issue is a duplicate\nLink to the original issue, close as duplicate, thank the reporter.\n\n### Issue is actually a feature request\nRe-label, add to backlog discussion, don't close — let the community weigh in.\n",".claude/skills/context-mode-ops/validation.md":"# Validation Patterns\n\nCross-cutting validation rules used by ALL workflows (triage, review, release).\n\n## Problem Verification — FIRST GATE\n\n<problem_verification_enforcement>\nThis is the FIRST validation step, before anything else. We shipped inheritEnvKeys because\nwe trusted an LLM claim that Claude Code strips environment variables — it does not.\nWe got burned shipping a fix for an unverified claim. Never again.\nEvery bug report, feature request, and behavioral claim MUST be proven true before code is written.\n</problem_verification_enforcement>\n\n### For Bug Reports\n\n**Reproduce it or reject it.** Run the exact reproduction steps from the issue. If it doesn't fail, the bug may not exist.\n\n```\nStep 1: Extract the claimed reproduction steps from the issue\nStep 2: Run them locally (use ctx_execute or a test)\nStep 3: Record the ACTUAL output\nStep 4: Compare actual vs. claimed behavior\nStep 5: VERDICT:\n  → REPRODUCED: Bug is real, proceed to fix\n  → NOT_REPRODUCED: Ask reporter for ctx-debug.sh output and exact repro steps\n  → INVALID: Reporter's environment is misconfigured, help them fix it\n```\n\n### For Feature Requests\n\n**Verify the underlying claim.** Feature requests always contain an implicit claim (\"X behaves this way\", \"Y is slow\", \"Z doesn't support W\"). Prove the claim first.\n\n```\nStep 1: Identify the claim (e.g., \"Claude Code strips env vars from child processes\")\nStep 2: Find HARD EVIDENCE — official docs, source code, or measured benchmarks\n  → Use ctx_fetch_and_index on official docs/repos\n  → Use ctx_execute to run actual tests\n  → NEVER trust LLM knowledge about platform behavior — LLMs hallucinate this constantly\nStep 3: VERDICT:\n  → CONFIRMED: Claim is true, proceed to design\n  → UNCONFIRMED: Cannot verify — ask reporter for evidence before implementing\n  → DEBUNKED: Claim is false — comment on issue explaining the misunderstanding\n```\n\n### Requesting Evidence from Reporters\n\nWhen a claim cannot be verified, comment on the issue BEFORE implementing:\n\n```markdown\nWe want to address this but need to verify the underlying behavior first.\nCould you provide:\n1. Output from: `npx context-mode doctor` (or run `ctx-debug.sh`)\n2. Exact reproduction steps\n3. Platform version, adapter, and OS\n\nWe'll investigate as soon as we can confirm the issue. Thanks for reporting!\n```\n\n### Evidence Log\n\nEvery triage MUST produce a verification entry:\n\n```\nCLAIM: \"{exact claim}\"\nSOURCE: {issue number or PR}\nEVIDENCE: {link to doc, test output, or benchmark result}\nVERDICT: CONFIRMED | UNCONFIRMED | DEBUNKED\nACTION: {proceed | request-info | close-as-invalid}\n```\n\n---\n\n## ENV Variable Verification\n\nLLMs frequently hallucinate environment variables. Every ENV var in an issue or PR must be verified.\n\n### Verification Protocol\n\nFor EACH environment variable mentioned:\n\n```\nStep 1: GREP — Does it exist in context-mode source?\n  → rg \"{ENV_VAR}\" src/\n  → If found: VERIFIED (we already use it)\n  → If not found: continue to Step 2\n\nStep 2: GREP ADAPTERS — Is it in the adapter detect logic?\n  → Read src/adapters/detect.ts\n  → Check the verified env vars comment block at the top\n  → If listed: VERIFIED (we know about it)\n\nStep 3: WEBSEARCH — Does the platform document it?\n  → WebSearch: \"{PLATFORM} {ENV_VAR} environment variable\"\n  → Check official docs, GitHub repos, release notes\n  → If found in official source: REAL but we don't use it yet\n\nStep 4: CONTEXT7 — Library documentation check\n  → resolve-library-id for the platform\n  → query-docs for the ENV var\n  → Cross-reference with Step 3\n\nStep 5: VERDICT\n  → VERIFIED: We use it and it's real\n  → REAL_NEW: Platform has it but we don't use it yet\n  → HALLUCINATED: No evidence it exists — flag it\n  → DEPRECATED: Used to exist but was removed\n```\n\n### Known Verified ENV Vars (Reference)\n\n| Platform | Verified ENV Vars | Source |\n|----------|------------------|--------|\n| Claude Code | `CLAUDE_PROJECT_DIR`, `CLAUDE_SESSION_ID` | src/adapters/detect.ts |\n| Gemini CLI | `GEMINI_PROJECT_DIR`, `GEMINI_CLI` | src/adapters/detect.ts |\n| OpenCode | `OPENCODE`, `OPENCODE_PID` | src/adapters/detect.ts |\n| OpenClaw | `OPENCLAW_HOME`, `OPENCLAW_CLI` | src/adapters/detect.ts |\n| Kilo | `KILO`, `KILO_PID` | src/adapters/detect.ts |\n| Codex | `CODEX_CI`, `CODEX_THREAD_ID` | src/adapters/detect.ts |\n| VS Code Copilot | `VSCODE_PID`, `VSCODE_CWD` | src/adapters/detect.ts |\n| Cursor | `CURSOR_TRACE_ID`, `CURSOR_CLI` | src/adapters/detect.ts |\n| Override | `CONTEXT_MODE_PLATFORM` | src/adapters/detect.ts |\n\nAny ENV var NOT in this table must go through the full verification protocol.\n\n## Adapter Test Matrix\n\n### Full Matrix Run\n\n```shell\n# Run ALL adapter tests\nnpx vitest run tests/adapters/\n\n# Individual adapter (for targeted testing)\nnpx vitest run tests/adapters/claude-code.test.ts\nnpx vitest run tests/adapters/gemini-cli.test.ts\nnpx vitest run tests/adapters/opencode.test.ts\nnpx vitest run tests/adapters/openclaw.test.ts\nnpx vitest run tests/adapters/kilo.test.ts\nnpx vitest run tests/adapters/codex.test.ts\nnpx vitest run tests/adapters/vscode-copilot.test.ts\nnpx vitest run tests/adapters/cursor.test.ts\nnpx vitest run tests/adapters/antigravity.test.ts\nnpx vitest run tests/adapters/kiro.test.ts\nnpx vitest run tests/adapters/zed.test.ts\n\n# Detection logic\nnpx vitest run tests/adapters/detect.test.ts\nnpx vitest run tests/adapters/client-map.test.ts\n```\n\n### Report Format\n\n```\nADAPTER TEST MATRIX\n═══════════════════\nclaude-code     ✓ 5/5    gemini-cli      ✓ 4/4\nopencode        ✓ 6/6    openclaw        ✓ 3/3\nkilo            ✓ 4/4    codex           ✓ 3/3\nvscode-copilot  ✓ 4/4    cursor          ✓ 3/3\nantigravity     ✓ 2/2    kiro            ✓ 3/3\npi              ✓ 2/2    zed             ✓ 2/2\ndetect          ✓ 8/8    client-map      ✓ 6/6\n───────────────────────────────────────────\nTOTAL: {N}/{N} passed | 0 failed\n```\n\n## Core Module Tests\n\n```shell\n# Core tests\nnpx vitest run tests/core/routing.test.ts\nnpx vitest run tests/core/search.test.ts\nnpx vitest run tests/core/server.test.ts\nnpx vitest run tests/core/cli.test.ts\n\n# Module tests\nnpx vitest run tests/store.test.ts\nnpx vitest run tests/executor.test.ts\nnpx vitest run tests/security.test.ts\nnpx vitest run tests/formatters.test.ts\n\n# Hook tests\nnpx vitest run tests/hooks/\n\n# Full suite\nnpm test\n```\n\n## OS Compatibility Checks\n\n### Path Handling\n\n```javascript\n// WRONG — breaks on Windows\nconst configPath = homedir + \"/.config/opencode/config.json\";\n\n// CORRECT — works everywhere\nconst configPath = path.join(homedir(), \".config\", \"opencode\", \"config.json\");\n```\n\nGrep for potential issues:\n```shell\n# String concatenation with path separators\nrg \"homedir\\(\\)\\s*\\+\" src/\nrg '\"/\\.' src/\nrg \"'\\\\./\" src/\n\n# Direct slash usage in paths (should use path.join)\nrg 'path\\s*=.*\"/' src/ --type ts\n```\n\n### Temp Directory\n\n```javascript\n// WRONG — hardcoded /tmp\nconst tmpFile = \"/tmp/context-mode-output.txt\";\n\n// CORRECT — uses OS temp dir\nconst tmpFile = path.join(os.tmpdir(), \"context-mode-output.txt\");\n```\n\nGrep for hardcoded temp:\n```shell\nrg '\"/tmp/' src/\nrg \"'/tmp/\" src/\n```\n\n### Native Bindings (better-sqlite3)\n\nCheck that `better-sqlite3` is in `optionalDependencies` (not `dependencies`) and the code handles the case where it's not available:\n\n```shell\nrg \"better-sqlite3\" src/ --type ts\nrg \"optionalDependencies\" package.json\n```\n\n### Process Spawn\n\n```javascript\n// WRONG — shell: true behaves differently on Windows\nspawn(\"command\", { shell: true });\n\n// CORRECT — explicit shell selection\nspawn(\"command\", { shell: process.platform === \"win32\" ? \"cmd.exe\" : \"/bin/sh\" });\n```\n\n## Hook Format Validation\n\nEach platform has different hook formats. Verify changes match:\n\n| Platform | Hook Format | Key Differences |\n|----------|------------|-----------------|\n| Claude Code | `hooks.json` in plugin dir | `PreToolUse`, `PostToolUse`, `PreCompact`, `SessionStart` |\n| Gemini CLI | `~/.gemini/settings.json` | `BeforeTool`, `AfterTool`, `PreCompress`, `SessionStart` + `matcher` |\n| VS Code Copilot | `.github/hooks/*.json` | Same as Claude Code but separate file |\n| Cursor | `.cursor/hooks.json` | No `SessionStart` (injects via file instead) |\n| OpenCode | `opencode.json` | Uses `agents` section, not traditional hooks |\n| OpenClaw | `openclaw.plugin.json` | Extension model, not hook-based |\n\n## Security Checks\n\n### Sandbox Escape\n\n```shell\n# File writing attempts through ctx_execute\nrg \"writeFile\\|appendFile\\|createWriteStream\" src/executor.ts\n\n# Path traversal\nrg \"\\.\\.\\/\" src/ --type ts\n\n# Command injection vectors\nrg \"exec\\(.*\\$\\{\" src/ --type ts\nrg \"spawn\\(.*\\$\\{\" src/ --type ts\n```\n\n### Information Disclosure\n\n```shell\n# Sensitive paths\nrg \"process\\.env\\b\" src/ --type ts | grep -v \"test\"\n\n# Home directory exposure\nrg \"homedir\\(\\)\" src/ --type ts\n```\n\n## TypeScript Validation\n\n```bash\n# Full type check\nnpm run typecheck\n\n# Should report 0 errors\n# If errors exist, they MUST be fixed before shipping\n```\n\n## Pre-Ship Checklist\n\nEvery change, regardless of workflow, must pass:\n\n- [ ] **Problem verified** — CLAIM_VERDICT is CONFIRMED with hard evidence (this is gate zero)\n- [ ] `npm run typecheck` — 0 errors\n- [ ] `npm test` — all pass\n- [ ] Adapter tests — all 12 pass (or N/A if untouched)\n- [ ] ENV vars — all verified against real platform source\n- [ ] Path handling — no hardcoded separators\n- [ ] Hook format — matches target platform's schema\n- [ ] No security regressions\n\n## Fan-out Claim Verification — SECOND GATE\n\n<fan_out_verification_enforcement>\nSTOP. Before dispatching N implementation agents on a survey result, you MUST\nverify each of the N claims independently. Audit agents are LLMs; LLMs lie.\nA survey that returns \"10 adapters need this fix\" is the moment to slow down,\nnot the moment to fork 10 parallel implementations.\n\nRULE: One audit claim ≠ one verified bug. Each item gets its own CLAIM_VERDICT\nbefore code is touched. The same Problem Verification gate that applies to\nexternal bug reports applies — equally — to internal fan-out claims.\n</fan_out_verification_enforcement>\n\n### When this gate fires\n\nAny time an EM-mode flow produces a multi-item list of suggested fixes — from\na survey agent, a triage sweep, a cross-adapter audit, a release pre-flight,\nan architecture review — the list is a HYPOTHESIS, not a punch list. The N\nitems have NOT been verified just because one agent grouped them.\n\n### The pattern\n\n```\nPHASE A — Reproduce each claim\n  Spawn one verification agent PER item in parallel.\n  Each agent MUST: read the platform source, attempt to reproduce the\n  failure, return CLAIM_VERDICT = CONFIRMED | DEBUNKED | UNDETERMINED.\n  File:line citations from real source are mandatory. No source citation\n  = treat as UNDETERMINED.\n\nPHASE B — Research only CONFIRMED items\n  For each CONFIRMED item, the SAME agent (or a follow-up) MUST identify\n  the concrete fix shape: file location, format, multi-window safety,\n  feasibility tier (HIGH / MEDIUM / LOW). DEBUNKED items are dropped.\n  UNDETERMINED items are tabled for the maintainer's empirical session.\n\nPHASE C — Implement only verified items\n  Dispatch implementation agents only for items that made it through A and\n  B. The fanout factor at this gate is typically 5-20% of the original\n  audit list — the rest were speculation that the gate caught.\n```\n\n### Why this gate exists\n\nReal incident (v1.0.148-era stats accuracy work, 2026-05-24):\n\n- A survey agent returned 10 adapters needing a `resolveCodexSessionCwd`-\n  style on-disk fallback. The maintainer asked for proof.\n- Phase A spawned 5 parallel verification agents (cursor, vscode-copilot,\n  jetbrains-copilot, gemini-cli, opencode).\n- Result: 2 DEBUNKED (cursor: passes cwd in hook stdin; opencode: native\n  plugin bridge, no spawn), 3 CONFIRMED but with different fix shapes\n  (vscode-copilot: trivial 1-line cascade addition; jetbrains: on-disk\n  fallback infeasible due to multi-window collision; gemini-cli: upstream\n  bug + docs workaround).\n- Net engineering scope: **1 trivial line change** instead of 10\n  parallel implementations.\n\nWithout this gate, we would have shipped 10 speculative fixes against\nunreproducible claims — the same failure mode as the inheritEnvKeys\nincident (an LLM said \"Claude Code strips env vars from child processes\",\nwe shipped a fix, and the platform behavior was never the claim).\n\n### What a CLAIM_VERDICT must look like\n\n```yaml\nclaim:\n  description: \"<one sentence stating the hypothesis precisely>\"\nverdict:\n  status: CONFIRMED | DEBUNKED | UNDETERMINED\n  evidence:\n    - \"file:line — what was found\"\n    - \"file:line — supporting detail\"\n    - \"file:line — counterexample (for DEBUNKED)\"\n  fix_shape:        # only when CONFIRMED\n    location: \"<file/format>\"\n    field_path: \"<where cwd / target value lives>\"\n    multi_window_safety: \"<mtime guard? unsafe? n/a?>\"\n    feasibility: HIGH | MEDIUM | LOW\n  decision: SHIP | DOCS-ONLY | TABLE | DROP\n```\n\n### Anti-patterns to recognize\n\n- **\"The audit says 10 — let me spawn 10 implementation agents.\"** Don't.\n  Spawn 10 verification agents first; THEN spawn implementation agents only\n  for the survivors.\n- **\"This is the same kind of bug we just fixed, so it must apply here\n  too.\"** Almost-same-shape bugs frequently have completely different\n  root causes per-platform. Verify per-platform.\n- **\"The agent said X, I trust it.\"** LLMs are programmed to take the\n  path of minimum energy. They will write plausible verdicts without\n  actually reading the source. Require file:line citations and spot-\n  check at least one.\n- **\"We don't have time to verify each one.\"** Verification is faster\n  than reverting bad ships. Five verification agents in parallel finish\n  in the time one implementation agent takes. The verification spend pays\n  for itself if it catches even one DEBUNKED.\n",".codex-plugin/plugin.json":"{\n  \"name\": \"context-mode\",\n  \"version\": \"1.0.169\",\n  \"description\": \"MCP server that saves 98% of your context window with session continuity. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and automatic state restore across compactions.\",\n  \"author\": {\n    \"name\": \"Mert Koseoğlu\",\n    \"url\": \"https://github.com/mksglu\"\n  },\n  \"homepage\": \"https://github.com/mksglu/context-mode#readme\",\n  \"repository\": \"https://github.com/mksglu/context-mode\",\n  \"license\": \"Elastic-2.0\",\n  \"keywords\": [\n    \"mcp\",\n    \"context-window\",\n    \"sandbox\",\n    \"code-execution\",\n    \"fts5\",\n    \"bm25\",\n    \"playwright\",\n    \"context7\"\n  ],\n  \"mcpServers\": \"./.codex-plugin/mcp.json\",\n  \"hooks\": \"./.codex-plugin/hooks.json\",\n  \"skills\": \"./skills/\",\n  \"interface\": {\n    \"displayName\": \"context-mode\",\n    \"shortDescription\": \"98% context window savings via FTS5 + sandboxed execution\",\n    \"developerName\": \"Mert Koseoğlu\",\n    \"category\": \"Productivity\"\n  }\n}\n",".cursor-plugin/plugin.json":"{\n  \"name\": \"context-mode\",\n  \"version\": \"1.0.169\",\n  \"description\": \"Cursor plugin that saves 98% of your context window. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, intent-driven search, and native Cursor v1.7+ hook routing for context protection.\",\n  \"author\": {\n    \"name\": \"Mert Koseoğlu\",\n    \"email\": \"code.bm.ksglu@gmail.com\"\n  },\n  \"homepage\": \"https://github.com/mksglu/context-mode#readme\",\n  \"repository\": \"https://github.com/mksglu/context-mode\",\n  \"license\": \"Elastic-2.0\",\n  \"logo\": \".cursor-plugin/assets/logo.png\",\n  \"keywords\": [\n    \"mcp\",\n    \"context-window\",\n    \"sandbox\",\n    \"code-execution\",\n    \"fts5\",\n    \"bm25\",\n    \"playwright\",\n    \"context7\",\n    \"cursor\"\n  ],\n  \"rules\": \"./configs/cursor/context-mode.mdc\",\n  \"skills\": \"./skills/\",\n  \"hooks\": \"./hooks/cursor/hooks.json\",\n  \"mcpServers\": {\n    \"context-mode\": {\n      \"command\": \"npx\",\n      \"args\": [\n        \"-y\",\n        \"context-mode\"\n      ]\n    }\n  }\n}\n",".openclaw-plugin/openclaw.plugin.json":"{\n  \"id\": \"context-mode\",\n  \"name\": \"Context Mode\",\n  \"kind\": \"tool\",\n  \"description\": \"OpenClaw plugin that saves 98% of your context window. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and intent-driven search.\",\n  \"version\": \"1.0.169\",\n  \"sandbox\": {\n    \"mode\": \"permissive\",\n    \"filesystem_access\": \"full\",\n    \"system_access\": \"full\"\n  },\n  \"contracts\": {\n    \"tools\": [\n      \"ctx_execute\",\n      \"ctx_execute_file\",\n      \"ctx_index\",\n      \"ctx_search\",\n      \"ctx_fetch_and_index\",\n      \"ctx_batch_execute\",\n      \"ctx_stats\",\n      \"ctx_doctor\",\n      \"ctx_upgrade\",\n      \"ctx_purge\",\n      \"ctx_insight\"\n    ]\n  },\n  \"configSchema\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"enabled\": {\n        \"type\": \"boolean\",\n        \"default\": true,\n        \"description\": \"Enable or disable the context-mode plugin.\"\n      }\n    },\n    \"additionalProperties\": false\n  }\n}\n","CLAUDE.md":"# context-mode — MANDATORY routing rules\n\ncontext-mode MCP tools available. Rules protect context window from flooding. One unrouted command dumps 56 KB into context.\n\n## Think in Code — MANDATORY\n\nAnalyze/count/filter/compare/search/parse/transform data: **write code** via `ctx_execute(language, code)`, `console.log()` only the answer. Do NOT read raw data into context. PROGRAM the analysis, not COMPUTE it. Pure JavaScript — Node.js built-ins only (`fs`, `path`, `child_process`). `try/catch`, handle `null`/`undefined`. One script replaces ten tool calls.\n\n## BLOCKED — do NOT attempt\n\n### curl / wget — BLOCKED\nIntercepted and replaced with error. Do NOT retry.\nUse: `ctx_fetch_and_index(url, source)` or `ctx_execute(language: \"javascript\", code: \"const r = await fetch(...)\")`\n\n### Inline HTTP — BLOCKED\n`fetch('http`, `requests.get(`, `requests.post(`, `http.get(`, `http.request(` — intercepted. Do NOT retry.\nUse: `ctx_execute(language, code)` — only stdout enters context\n\n### WebFetch — BLOCKED\nUse: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)`\n\n## REDIRECTED — use sandbox\n\n### Bash (>20 lines output)\nBash ONLY for: `git`, `mkdir`, `rm`, `mv`, `cd`, `ls`, `npm install`, `pip install`.\nOtherwise: `ctx_batch_execute(commands, queries)` or `ctx_execute(language: \"shell\", code: \"...\")`\n\n### Read (for analysis)\nReading to **Edit** → Read correct. Reading to **analyze/explore/summarize** → `ctx_execute_file(path, language, code)`.\n\n### Grep — may flood context\nUse `ctx_execute(language: \"shell\", code: \"grep ...\")` in sandbox.\n\n## Tool selection\n\n0. **MEMORY**: `ctx_search(sort: \"timeline\")` — after resume, check prior context before asking user.\n1. **GATHER**: `ctx_batch_execute(commands, queries)` — runs all commands, auto-indexes, returns search. ONE call replaces 30+. Each command: `{label: \"header\", command: \"...\"}`.\n2. **FOLLOW-UP**: `ctx_search(queries: [\"q1\", \"q2\", ...])` — all questions as array, ONE call (default relevance mode).\n3. **PROCESSING**: `ctx_execute(language, code)` | `ctx_execute_file(path, language, code)` — sandbox, only stdout enters context.\n4. **WEB**: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)` — raw HTML never enters context.\n5. **INDEX**: `ctx_index(content, source)` — store in FTS5 for later search.\n\n## Parallel I/O batches\n\nFor multi-URL fetches or multi-API calls, **always** include `concurrency: N` (1-8):\n\n- `ctx_batch_execute(commands: [3+ network commands], concurrency: 5)` — gh, curl, dig, docker inspect, multi-region cloud queries\n- `ctx_fetch_and_index(requests: [{url, source}, ...], concurrency: 5)` — multi-URL batch fetch\n\n**Use concurrency 4-8** for I/O-bound work (network calls, API queries). **Keep concurrency 1** for CPU-bound (npm test, build, lint) or commands sharing state (ports, lock files, same-repo writes).\n\nGitHub API rate-limit: cap at 4 for `gh` calls.\n\n## Subagent routing\n\nRouting block auto-injected into subagent prompts. Bash-type subagents upgraded to general-purpose. No manual instruction needed.\n\n## Output\n\nWrite artifacts to FILES — never inline. Return: file path + 1-line description.\nDescriptive source labels for `ctx_search(source: \"label\")`.\n\n## Session Continuity\n\nSkills, roles, and decisions persist for the entire session. Do not abandon them as the conversation grows.\n\n## Memory\n\nSession history is persistent and searchable. On resume, search BEFORE asking the user:\n\n| Need | Command |\n|------|---------|\n| What were we working on? | `ctx_search(queries: [\"summary\"], source: \"compaction\", sort: \"timeline\")` |\n| What was the first request? | `ctx_search(queries: [\"prompt\"], source: \"user-prompt\", sort: \"timeline\")` |\n| What did we decide? | `ctx_search(queries: [\"decision\"], source: \"decision\", sort: \"timeline\")` |\n| What NOT to repeat? | `ctx_search(queries: [\"rejected\"], source: \"rejected-approach\")` |\n| What constraints exist? | `ctx_search(queries: [\"constraint\"], source: \"constraint\")` |\n\nDO NOT ask \"what were we working on?\" — SEARCH FIRST.\nIf search returns 0 results, proceed as a fresh session.\n\n## ctx commands\n\n| Command | Action |\n|---------|--------|\n| `ctx stats` | Call `ctx_stats` MCP tool, display full output verbatim |\n| `ctx doctor` | Call `ctx_doctor` MCP tool, run returned shell command, display as checklist |\n| `ctx upgrade` | Call `ctx_upgrade` MCP tool, run returned shell command, display as checklist |\n| `ctx purge` | Call `ctx_purge` MCP tool with confirm: true. Warns before wiping knowledge base. |\n\nAfter /clear or /compact: knowledge base and session stats preserved. Use `ctx purge` to start fresh.\n","configs/antigravity-cli/plugin.json":"{\n  \"name\": \"context-mode\",\n  \"version\": \"1.0.169\",\n  \"description\": \"context-mode for Antigravity CLI (agy): sandboxed code execution, FTS5 knowledge base, and session capture. Saves your context window by keeping raw bytes out of the conversation.\",\n  \"author\": {\n    \"name\": \"Mert Koseoğlu\",\n    \"url\": \"https://github.com/mksglu\"\n  },\n  \"homepage\": \"https://github.com/mksglu/context-mode#readme\",\n  \"license\": \"Elastic-2.0\",\n  \"skills\": [\n    \"./skills/context-mode\"\n  ]\n}\n","configs/antigravity-cli/skills/context-mode/SKILL.md":"---\nname: context-mode\ndescription: Mandatory routing rules for Antigravity CLI. Invoke when exploring a codebase, reading files for analysis, listing context-mode tools, searching, parsing, counting, comparing, summarizing, fetching web content, or running data-heavy commands.\n---\n\n# context-mode for Antigravity CLI\n\ncontext-mode MCP tools are available in agy as `context-mode/<tool>`.\nUse these tools directly. Do not inspect cached schema files under\n`~/.gemini/antigravity-cli/mcp/context-mode/*.json`, and do not run\n`ctx_execute` just to discover tool names or schemas.\n\nIf agy uses the generic MCP wrapper, call `call_mcp_tool` with:\n\n- `ServerName`: `\"context-mode\"`\n- `ToolName`: one of the tool names below\n- `Arguments`: the JSON arguments for that tool\n\n## Tool List\n\n- `context-mode/ctx_execute`: run JavaScript, TypeScript, Python, shell, or\n  other code in a sandbox. Print only the final answer.\n- `context-mode/ctx_execute_file`: read one file into `FILE_CONTENT` inside the\n  sandbox and run code over it. This is the context-mode file-read surface.\n- `context-mode/ctx_batch_execute`: run multiple repository commands in one\n  batch, index large output, and answer follow-up queries.\n- `context-mode/ctx_index`: store a file, directory, or content in the local\n  FTS5 knowledge base for later search.\n- `context-mode/ctx_search`: search indexed content and captured session\n  memory. Batch related questions in `queries`.\n- `context-mode/ctx_fetch_and_index`: fetch web content, store it, then query\n  with `ctx_search`.\n- `context-mode/ctx_stats`: show context savings and current-session stats.\n- `context-mode/ctx_doctor`: diagnose context-mode runtime and hook health.\n- `context-mode/ctx_upgrade`: provide upgrade or repair guidance.\n- `context-mode/ctx_purge`: purge stored context-mode knowledge after\n  confirmation.\n- `context-mode/ctx_insight`: launch or report the Insight analytics app.\n\nWhen the user asks \"what context-mode tools are available\", answer from this\nlist. Do not list `~/.gemini/antigravity-cli/mcp/context-mode` and do not read\nthe JSON schema files.\n\n## File Reading\n\nThere is no separate `ctx_read` tool. Use `context-mode/ctx_execute_file` for\nfile reads that analyze, summarize, extract, count, filter, or compare.\n\nNative `Read` / `view_file` is only right when editing needs exact bytes in the\nconversation, or when the user explicitly asks to view a small known range.\n\nUse JavaScript by default for lightweight file analysis:\n\n```json\n{\n  \"path\": \"README.md\",\n  \"language\": \"javascript\",\n  \"code\": \"const lines = FILE_CONTENT.split(/\\\\r?\\\\n/); console.log(lines.slice(0, 20).join('\\\\n'));\"\n}\n```\n\nNever print `FILE_CONTENT` wholesale unless the user explicitly asks for a full\nfile dump. Print selected lines, counts, matches, summaries, or structured\nresults.\n\n## Codebase Exploration\n\nFor repository exploration, prefer one `context-mode/ctx_batch_execute` call\ninstead of many native `ListDir`, `Read`, `Grep`, or shell calls.\n\nFor one-off computed answers, use `context-mode/ctx_execute`.\nFor one-file analysis, use `context-mode/ctx_execute_file`.\nFor durable recall across follow-up questions, use `context-mode/ctx_index`\nwith a descriptive `source`, then `context-mode/ctx_search`.\n\nReturn concise derived answers. Do not paste raw command dumps, full files,\nlarge search results, cached schemas, or raw HTML into the conversation.\n","configs/copilot-cli/.github/plugin/plugin.json":"{\n  \"name\": \"context-mode\",\n  \"description\": \"context-mode for GitHub Copilot CLI: sandboxed code execution in 11 languages, an FTS5 knowledge base with BM25 ranking, and session capture. Saves your context window by keeping raw bytes out of the conversation.\",\n  \"version\": \"1.0.169\",\n  \"keywords\": [\n    \"mcp\",\n    \"context-window\",\n    \"sandbox\",\n    \"code-execution\",\n    \"fts5\",\n    \"bm25\"\n  ],\n  \"author\": {\n    \"name\": \"Mert Koseoğlu\",\n    \"url\": \"https://github.com/mksglu\"\n  },\n  \"homepage\": \"https://github.com/mksglu/context-mode#readme\",\n  \"repository\": \"https://github.com/mksglu/context-mode\",\n  \"license\": \"Elastic-2.0\",\n  \"skills\": [\n    \"./skills/context-mode\"\n  ]\n}\n","configs/copilot-cli/skills/context-mode/SKILL.md":"---\nname: context-mode\ndescription: MANDATORY routing rules for context-mode. Invoke whenever you analyze, count, filter, compare, search, parse, or transform data; fetch a URL; or run a data-heavy command — so raw bytes stay out of the context window.\n---\n\n# context-mode — MANDATORY routing rules\n\ncontext-mode MCP tools are available in GitHub Copilot CLI. These rules protect\nthe context window from flooding — one unrouted command can dump tens of KB into\nthe conversation. Follow them strictly.\n\n## Think in Code — MANDATORY\n\nAnalyze / count / filter / compare / search / parse / transform data: **write\ncode** via `ctx_execute(language, code)` and `console.log()` only the answer. Do\nNOT read raw data into context. PROGRAM the analysis, do not COMPUTE it by\nreading. One script replaces ten tool calls.\n\n## BLOCKED — do NOT use\n\n- **curl / wget** — dumps raw HTTP into context. Use\n  `ctx_fetch_and_index(url, source)` then `ctx_search(queries)`.\n- **Inline HTTP** (`node -e \"fetch(...)\"`, `python -c \"requests.get(...)\"`) — use\n  `ctx_execute(language, code)`; only stdout enters context.\n- **Reading large files to analyze** — use\n  `ctx_execute_file(path, language, code)`.\n\n## Tool selection\n\n1. **GATHER**: `ctx_batch_execute(commands, queries)` — runs all commands,\n   auto-indexes, returns search. One call replaces dozens.\n2. **PROCESS**: `ctx_execute` / `ctx_execute_file` — sandbox; only stdout enters\n   context.\n3. **WEB**: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)` — raw\n   HTML never enters context.\n4. **SEARCH**: `ctx_search(queries: [...])` — all questions in one call.\n\nWrite artifacts to FILES; return a path + one-line description, not inline dumps.\n","configs/jetbrains-copilot/copilot-instructions.md":"# context-mode — MANDATORY routing rules\n\ncontext-mode MCP tools available. Rules protect context window from flooding. One unrouted command dumps 56 KB into context.\n\n## Think in Code — MANDATORY\n\nAnalyze/count/filter/compare/search/parse/transform data: **write code** via `ctx_execute(language, code)`, `console.log()` only the answer. Do NOT read raw data into context. PROGRAM the analysis, not COMPUTE it. Pure JavaScript — Node.js built-ins only (`fs`, `path`, `child_process`). `try/catch`, handle `null`/`undefined`. One script replaces ten tool calls.\n\n## BLOCKED — do NOT attempt\n\n### curl / wget — BLOCKED\nTerminal `curl`/`wget` intercepted and blocked. Do NOT retry.\nUse: `ctx_fetch_and_index(url, source)` or `ctx_execute(language: \"javascript\", code: \"const r = await fetch(...)\")`\n\n### Inline HTTP — BLOCKED\n`fetch('http`, `requests.get(`, `requests.post(`, `http.get(`, `http.request(` — intercepted. Do NOT retry.\nUse: `ctx_execute(language, code)` — only stdout enters context\n\n### WebFetch / fetch — BLOCKED\nUse: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)`\n\n## REDIRECTED — use sandbox\n\n### Terminal / run_in_terminal (>20 lines output)\nTerminal ONLY for: `git`, `mkdir`, `rm`, `mv`, `cd`, `ls`, `npm install`, `pip install`.\nOtherwise: `ctx_batch_execute(commands, queries)` or `ctx_execute(language: \"javascript\", code: \"...\")`. Use `language: \"shell\"` only when code matches the host shell.\n\n### read_file (for analysis)\nReading to **edit** → read_file correct. Reading to **analyze/explore/summarize** → `ctx_execute_file(path, language, code)`.\n\n### grep / search (large results)\nUse `ctx_execute(language: \"javascript\", code: \"...\")` in sandbox for portable filtering/counting.\n\n## Tool selection\n\n0. **MEMORY**: `ctx_search(sort: \"timeline\")` — after resume, check prior context before asking user.\n1. **GATHER**: `ctx_batch_execute(commands, queries)` — runs all commands, auto-indexes, returns search. ONE call replaces 30+. Each command: `{label: \"header\", command: \"...\"}`.\n2. **FOLLOW-UP**: `ctx_search(queries: [\"q1\", \"q2\", ...])` — all questions as array, ONE call (default relevance mode).\n3. **PROCESSING**: `ctx_execute(language, code)` | `ctx_execute_file(path, language, code)` — sandbox, only stdout enters context.\n4. **WEB**: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)` — raw HTML never enters context.\n5. **INDEX**: `ctx_index(content, source)` — store in FTS5 for later search.\n\n### Parallel I/O batches\nPass `concurrency: 4-8` to `ctx_batch_execute` and `ctx_fetch_and_index` for network/API batches. Keep `concurrency: 1` for CPU-bound work (test, build, lint). GitHub gh: cap at 4.\n\n## Output\n\nWrite artifacts to FILES — never inline. Return: file path + 1-line description.\nDescriptive source labels for `ctx_search(source: \"label\")`.\n\n## Session Continuity\n\nSkills, roles, and decisions persist for the entire session. Do not abandon them as the conversation grows.\n\n## Memory\n\nSession history is persistent and searchable. On resume, search BEFORE asking the user:\n\n| Need | Command |\n|------|---------|\n| What were we working on? | `ctx_search(queries: [\"summary\"], source: \"compaction\", sort: \"timeline\")` |\n| What did we decide? | `ctx_search(queries: [\"decision\"], source: \"decision\", sort: \"timeline\")` |\n| What NOT to repeat? | `ctx_search(queries: [\"rejected\"], source: \"rejected-approach\")` |\n| What constraints exist? | `ctx_search(queries: [\"constraint\"], source: \"constraint\")` |\n\nNote: user-prompt history not available.\n\nDO NOT ask \"what were we working on?\" — SEARCH FIRST.\nIf search returns 0 results, proceed as a fresh session.\n\n## ctx commands\n\n| Command | Action |\n|---------|--------|\n| `ctx stats` | Call `ctx_stats` MCP tool, display full output verbatim |\n| `ctx doctor` | Call `ctx_doctor` MCP tool, run returned shell command, display as checklist |\n| `ctx upgrade` | Call `ctx_upgrade` MCP tool, run returned shell command, display as checklist |\n| `ctx purge` | Call `ctx_purge` MCP tool with confirm: true. Warns before wiping knowledge base. |\n\nAfter /clear or /compact: knowledge base and session stats preserved. Use `ctx purge` to start fresh.\n","configs/vscode-copilot/copilot-instructions.md":"# context-mode — MANDATORY routing rules\n\ncontext-mode MCP tools available. Rules protect context window from flooding. One unrouted command dumps 56 KB into context.\n\n## Think in Code — MANDATORY\n\nAnalyze/count/filter/compare/search/parse/transform data: **write code** via `ctx_execute(language, code)`, `console.log()` only the answer. Do NOT read raw data into context. PROGRAM the analysis, not COMPUTE it. Pure JavaScript — Node.js built-ins only (`fs`, `path`, `child_process`). `try/catch`, handle `null`/`undefined`. One script replaces ten tool calls.\n\n## BLOCKED — do NOT attempt\n\n### curl / wget — BLOCKED\nTerminal `curl`/`wget` intercepted and blocked. Do NOT retry.\nUse: `ctx_fetch_and_index(url, source)` or `ctx_execute(language: \"javascript\", code: \"const r = await fetch(...)\")`\n\n### Inline HTTP — BLOCKED\n`fetch('http`, `requests.get(`, `requests.post(`, `http.get(`, `http.request(` — intercepted. Do NOT retry.\nUse: `ctx_execute(language, code)` — only stdout enters context\n\n### WebFetch / fetch — BLOCKED\nUse: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)`\n\n## REDIRECTED — use sandbox\n\n### Terminal / run_in_terminal (>20 lines output)\nTerminal ONLY for: `git`, `mkdir`, `rm`, `mv`, `cd`, `ls`, `npm install`, `pip install`.\nOtherwise: `ctx_batch_execute(commands, queries)` or `ctx_execute(language: \"javascript\", code: \"...\")`. Use `language: \"shell\"` only when code matches the host shell.\n\n### read_file (for analysis)\nReading to **edit** → read_file correct. Reading to **analyze/explore/summarize** → `ctx_execute_file(path, language, code)`.\n\n### grep / search (large results)\nUse `ctx_execute(language: \"javascript\", code: \"...\")` in sandbox for portable filtering/counting.\n\n## Tool selection\n\n0. **MEMORY**: `ctx_search(sort: \"timeline\")` — after resume, check prior context before asking user.\n1. **GATHER**: `ctx_batch_execute(commands, queries)` — runs all commands, auto-indexes, returns search. ONE call replaces 30+. Each command: `{label: \"header\", command: \"...\"}`.\n2. **FOLLOW-UP**: `ctx_search(queries: [\"q1\", \"q2\", ...])` — all questions as array, ONE call (default relevance mode).\n3. **PROCESSING**: `ctx_execute(language, code)` | `ctx_execute_file(path, language, code)` — sandbox, only stdout enters context.\n4. **WEB**: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)` — raw HTML never enters context.\n5. **INDEX**: `ctx_index(content, source)` — store in FTS5 for later search.\n\n### Parallel I/O batches\nPass `concurrency: 4-8` to `ctx_batch_execute` and `ctx_fetch_and_index` for network/API batches. Keep `concurrency: 1` for CPU-bound work (test, build, lint). GitHub gh: cap at 4.\n\n## Output\n\nWrite artifacts to FILES — never inline. Return: file path + 1-line description.\nDescriptive source labels for `ctx_search(source: \"label\")`.\n\n## Session Continuity\n\nSkills, roles, and decisions persist for the entire session. Do not abandon them as the conversation grows.\n\n## Memory\n\nSession history is persistent and searchable. On resume, search BEFORE asking the user:\n\n| Need | Command |\n|------|---------|\n| What were we working on? | `ctx_search(queries: [\"summary\"], source: \"compaction\", sort: \"timeline\")` |\n| What did we decide? | `ctx_search(queries: [\"decision\"], source: \"decision\", sort: \"timeline\")` |\n| What NOT to repeat? | `ctx_search(queries: [\"rejected\"], source: \"rejected-approach\")` |\n| What constraints exist? | `ctx_search(queries: [\"constraint\"], source: \"constraint\")` |\n\nNote: user-prompt history not available.\n\nDO NOT ask \"what were we working on?\" — SEARCH FIRST.\nIf search returns 0 results, proceed as a fresh session.\n\n## ctx commands\n\n| Command | Action |\n|---------|--------|\n| `ctx stats` | Call `ctx_stats` MCP tool, display full output verbatim |\n| `ctx doctor` | Call `ctx_doctor` MCP tool, run returned shell command, display as checklist |\n| `ctx upgrade` | Call `ctx_upgrade` MCP tool, run returned shell command, display as checklist |\n| `ctx purge` | Call `ctx_purge` MCP tool with confirm: true. Warns before wiping knowledge base. |\n\nAfter /clear or /compact: knowledge base and session stats preserved. Use `ctx purge` to start fresh.\n","openclaw.plugin.json":"{\n  \"id\": \"context-mode\",\n  \"name\": \"Context Mode\",\n  \"kind\": \"tool\",\n  \"description\": \"OpenClaw plugin that saves 98% of your context window. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and intent-driven search.\",\n  \"version\": \"1.0.169\",\n  \"sandbox\": {\n    \"mode\": \"permissive\",\n    \"filesystem_access\": \"full\",\n    \"system_access\": \"full\"\n  },\n  \"contracts\": {\n    \"tools\": [\n      \"ctx_execute\",\n      \"ctx_execute_file\",\n      \"ctx_index\",\n      \"ctx_search\",\n      \"ctx_fetch_and_index\",\n      \"ctx_batch_execute\",\n      \"ctx_stats\",\n      \"ctx_doctor\",\n      \"ctx_upgrade\",\n      \"ctx_purge\",\n      \"ctx_insight\"\n    ]\n  },\n  \"configSchema\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"enabled\": {\n        \"type\": \"boolean\",\n        \"default\": true,\n        \"description\": \"Enable or disable the context-mode plugin.\"\n      }\n    },\n    \"additionalProperties\": false\n  }\n}\n","skills/context-mode/SKILL.md":"---\nname: context-mode\ndescription: |\n  Use context-mode tools (ctx_execute, ctx_execute_file) instead of Bash/cat when processing\n  large outputs. Triggers: \"analyze logs\", \"summarize output\", \"process data\",\n  \"parse JSON\", \"filter results\", \"extract errors\", \"check build output\",\n  \"analyze dependencies\", \"process API response\", \"large file analysis\",\n  \"page snapshot\", \"browser snapshot\", \"DOM structure\", \"inspect page\",\n  \"accessibility tree\", \"Playwright snapshot\",\n  \"run tests\", \"test output\", \"coverage report\", \"git log\", \"recent commits\",\n  \"diff between branches\", \"list containers\", \"pod status\", \"disk usage\",\n  \"fetch docs\", \"API reference\", \"index documentation\",\n  \"call API\", \"check response\", \"query results\",\n  \"find TODOs\", \"count lines\", \"codebase statistics\", \"security audit\",\n  \"outdated packages\", \"dependency tree\", \"cloud resources\", \"CI/CD output\".\n  Also triggers on ANY MCP tool output that may exceed 20 lines.\n  Subagent routing is handled automatically via PreToolUse hook.\n---\n\n# Context Mode: Default for All Large Output\n\n## MANDATORY RULE\n\n<context_mode_logic>\n  <mandatory_rule>\n    Default to context-mode for ALL commands. Only use Bash for guaranteed-small-output operations.\n  </mandatory_rule>\n</context_mode_logic>\n\nBash whitelist (safe to run directly):\n- **File mutations**: `mkdir`, `mv`, `cp`, `rm`, `touch`, `chmod`\n- **Git writes**: `git add`, `git commit`, `git push`, `git checkout`, `git branch`, `git merge`\n- **Navigation**: `cd`, `pwd`, `which`\n- **Process control**: `kill`, `pkill`\n- **Package management**: `npm install`, `npm publish`, `pip install`\n- **Simple output**: `echo`, `printf`\n\n**Everything else → `ctx_execute` or `ctx_execute_file`.** Any command that reads, queries, fetches, lists, logs, tests, builds, diffs, inspects, or calls an external service. This includes ALL CLIs (gh, aws, kubectl, docker, terraform, wrangler, fly, heroku, gcloud, etc.) — there are thousands and we cannot list them all.\n\n**When uncertain, use context-mode.** Every KB of unnecessary context reduces the quality and speed of the entire session.\n\n## Decision Tree\n\n```\nAbout to run a command / read a file / call an API?\n│\n├── Command is on the Bash whitelist (file mutations, git writes, navigation, echo)?\n│   └── Use Bash\n│\n├── Output MIGHT be large or you're UNSURE?\n│   └── Use context-mode ctx_execute or ctx_execute_file\n│\n├── Fetching web documentation or HTML page?\n│   └── Use ctx_fetch_and_index → ctx_search\n│\n├── Using Playwright (navigate, snapshot, console, network)?\n│   └── ALWAYS use filename parameter to save to file, then:\n│       browser_snapshot(filename) → ctx_index(path) or ctx_execute_file(path)\n│       browser_console_messages(filename) → ctx_execute_file(path)\n│       browser_network_requests(filename) → ctx_execute_file(path)\n│       ⚠ browser_navigate returns a snapshot automatically — ignore it,\n│         use browser_snapshot(filename) for any inspection.\n│       ⚠ Playwright MCP uses a SINGLE browser instance — NOT parallel-safe.\n│         For parallel browser ops, use agent-browser via execute instead.\n│\n├── Using agent-browser (parallel-safe browser automation)?\n│   └── Run via execute (shell) — each call gets its own subprocess:\n│       execute(\"agent-browser open example.com && agent-browser snapshot -i -c\")\n│       ✓ Supports sessions for isolated browser instances\n│       ✓ Safe for parallel subagent execution\n│       ✓ Lightweight accessibility tree with ref-based interaction\n│\n├── Processing output from another MCP tool (Context7, GitHub API, etc.)?\n│   ├── Output already in context from a previous tool call?\n│   │   └── Use it directly. Do NOT re-index with ctx_index(content: ...).\n│   ├── Need to search the output multiple times?\n│   │   └── Save to file via ctx_execute, then ctx_index(path) → ctx_search\n│   └── One-shot extraction?\n│       └── Save to file via ctx_execute, then ctx_execute_file(path)\n│\n└── Reading a file to analyze/summarize (not edit)?\n    └── Use ctx_execute_file (file loads into FILE_CONTENT, not context)\n```\n\n## When to Use Each Tool\n\n| Situation | Tool | Example |\n|-----------|------|---------|\n| Hit an API endpoint | `ctx_execute` | `fetch('http://localhost:3000/api/orders')` |\n| Run CLI that returns data | `ctx_execute` | `gh pr list`, `aws s3 ls`, `kubectl get pods` |\n| Run tests | `ctx_execute` | `npm test`, `pytest`, `go test ./...` |\n| Git operations | `ctx_execute` | `git log --oneline -50`, `git diff HEAD~5` |\n| Docker/K8s inspection | `ctx_execute` | `docker stats --no-stream`, `kubectl describe pod` |\n| Read a log file | `ctx_execute_file` | Parse access.log, error.log, build output |\n| Read a data file | `ctx_execute_file` | Analyze CSV, JSON, YAML, XML |\n| Read source code to analyze | `ctx_execute_file` | Count functions, find patterns, extract metrics |\n| Fetch web docs | `ctx_fetch_and_index` | Index React/Next.js/Zod docs, then search |\n| Playwright snapshot | `browser_snapshot(filename)` → `ctx_index(path)` → `ctx_search` | Save to file, index server-side, query |\n| Playwright snapshot (one-shot) | `browser_snapshot(filename)` → `ctx_execute_file(path)` | Save to file, extract in sandbox |\n| Playwright console/network | `browser_*(filename)` → `ctx_execute_file(path)` | Save to file, analyze in sandbox |\n| MCP output (already in context) | Use directly | Don't re-index — it's already loaded |\n| MCP output (need multi-query) | `ctx_execute` to save → `ctx_index(path)` → `ctx_search` | Save to file first, index server-side |\n| Wipe indexed KB content | `ctx_purge(confirm: true)` | Permanently deletes all indexed content |\n\n## Automatic Triggers\n\nUse context-mode for ANY of these, without being asked:\n\n- **API debugging**: \"hit this endpoint\", \"call the API\", \"check the response\", \"find the bug in the response\"\n- **Log analysis**: \"check the logs\", \"what errors\", \"read access.log\", \"debug the 500s\"\n- **Test runs**: \"run the tests\", \"check if tests pass\", \"test suite output\"\n- **Git history**: \"show recent commits\", \"git log\", \"what changed\", \"diff between branches\"\n- **Data inspection**: \"look at the CSV\", \"parse the JSON\", \"analyze the config\"\n- **Infrastructure**: \"list containers\", \"check pods\", \"S3 buckets\", \"show running services\"\n- **Dependency audit**: \"check dependencies\", \"outdated packages\", \"security audit\"\n- **Build output**: \"build the project\", \"check for warnings\", \"compile errors\"\n- **Code metrics**: \"count lines\", \"find TODOs\", \"function count\", \"analyze codebase\"\n- **Web docs lookup**: \"look up the docs\", \"check the API reference\", \"find examples\"\n\n## Language Selection\n\n| Situation | Language | Why |\n|-----------|----------|-----|\n| HTTP/API calls, JSON | `javascript` | Native fetch, JSON.parse, async/await |\n| Data analysis, CSV, stats | `python` | csv, statistics, collections, re |\n| Shell commands with pipes | `shell` | grep, awk, jq, native tools |\n| File pattern matching | `shell` | find, wc, sort, uniq |\n\n## Search Query Strategy\n\n- BM25 uses **OR semantics** — results matching more terms rank higher automatically\n- Use 2-4 specific technical terms per query\n- **Always use `source` parameter** when multiple docs are indexed to avoid cross-source contamination\n  - Partial match works: `source: \"Node\"` matches `\"Node.js v22 CHANGELOG\"`\n- **Always use `queries` array** — batch ALL search questions in ONE call:\n  - `ctx_search(queries: [\"transform pipe\", \"refine superRefine\", \"coerce codec\"], source: \"Zod\")`\n  - NEVER make multiple separate ctx_search() calls — put all queries in one array\n\n## External Documentation\n\n- **Always use `ctx_fetch_and_index`** for external docs — NEVER `cat` or `ctx_execute` with local paths for packages you don't own\n- For GitHub-hosted projects, use the raw URL: `https://raw.githubusercontent.com/org/repo/main/CHANGELOG.md`\n- After indexing, use the `source` parameter in search to scope results to that specific document\n\n## Critical Rules\n\n1. **Always console.log/print your findings.** stdout is all that enters context. No output = wasted call.\n2. **Write analysis code, not just data dumps.** Don't `console.log(JSON.stringify(data))` — analyze first, print findings.\n3. **Be specific in output.** Print bug details with IDs, line numbers, exact values — not just counts.\n4. **For files you need to EDIT**: Use the normal Read tool. context-mode is for analysis, not editing.\n5. **For Bash whitelist commands only**: Use Bash for file mutations, git writes, navigation, process control, package install, and echo. Everything else goes through context-mode.\n6. **Never use `ctx_index(content: large_data)`.** Use `ctx_index(path: ...)` to read files server-side. The `content` parameter sends data through context as a tool parameter — use it only for small inline text.\n7. **Always use `filename` parameter** on Playwright tools (`browser_snapshot`, `browser_console_messages`, `browser_network_requests`). Without it, the full output enters context.\n8. **Don't re-index data already in context.** If an MCP tool returned data in a previous response, it's already loaded — use it directly or save to file first.\n\n## Sandboxed Data Workflow\n\n<sandboxed_data_workflow>\n  <critical_rule>\n    When using tools that support saving to a file: ALWAYS use the 'filename' parameter.\n    NEVER return large raw datasets directly to context.\n  </critical_rule>\n  <workflow>\n    LargeDataTool(filename: \"path\") → mcp__context-mode__ctx_index(path: \"path\") → ctx_search()\n  </workflow>\n</sandboxed_data_workflow>\n\nThis is the universal pattern for context preservation regardless of\nthe source tool (Playwright, GitHub API, AWS CLI, etc.).\n\n## Examples\n\n### Debug an API endpoint\n```javascript\nconst resp = await fetch('http://localhost:3000/api/orders');\nconst { orders } = await resp.json();\n\nconst bugs = [];\nconst negQty = orders.filter(o => o.quantity < 0);\nif (negQty.length) bugs.push(`Negative qty: ${negQty.map(o => o.id).join(', ')}`);\n\nconst nullFields = orders.filter(o => !o.product || !o.customer);\nif (nullFields.length) bugs.push(`Null fields: ${nullFields.map(o => o.id).join(', ')}`);\n\nconsole.log(`${orders.length} orders, ${bugs.length} bugs found:`);\nbugs.forEach(b => console.log(`- ${b}`));\n```\n\n### Analyze test output\n```shell\nnpm test 2>&1\necho \"EXIT=$?\"\n```\n\n### Check GitHub PRs\n```shell\ngh pr list --json number,title,state,reviewDecision --jq '.[] | \"\\(.number) [\\(.state)] \\(.title) — \\(.reviewDecision // \"no review\")\"'\n```\n\n### Read and analyze a large file\n```python\n# FILE_CONTENT is pre-loaded by ctx_execute_file\nimport json\ndata = json.loads(FILE_CONTENT)\nprint(f\"Records: {len(data)}\")\n# ... analyze and print findings\n```\n\n## Browser & Playwright Integration\n\n**When a task involves Playwright snapshots, screenshots, or page inspection, ALWAYS route through file → sandbox.**\n\nPlaywright `browser_snapshot` returns 10K–135K tokens of accessibility tree data. Calling it without `filename` dumps all of that into context. Passing the output to `ctx_index(content: ...)` sends it into context a SECOND time as a parameter. Both are wrong.\n\n**The key insight**: `browser_snapshot` has a `filename` parameter that saves to file instead of returning to context. `ctx_index` has a `path` parameter that reads files server-side. `ctx_execute_file` processes files in a sandbox. **None of these touch context.**\n\n### Workflow A: Snapshot → File → Index → Search (multiple queries)\n\n```\nStep 1: browser_snapshot(filename: \"/tmp/playwright-snapshot.md\")\n        → saves to file, returns ~50B confirmation (NOT 135K tokens)\n\nStep 2: ctx_index(path: \"/tmp/playwright-snapshot.md\", source: \"Playwright snapshot\")\n        → reads file SERVER-SIDE, indexes into FTS5, returns ~80B confirmation\n\nStep 3: ctx_search(queries: [\"login form email password\"], source: \"Playwright\")\n        → returns only matching chunks (~300B)\n```\n\n**Total context: ~430B** instead of 270K tokens. Real 99% savings.\n\n### Workflow B: Snapshot → File → Execute File (one-shot extraction)\n\n```\nStep 1: browser_snapshot(filename: \"/tmp/playwright-snapshot.md\")\n        → saves to file, returns ~50B confirmation\n\nStep 2: ctx_execute_file(path: \"/tmp/playwright-snapshot.md\", language: \"javascript\", code: \"\n          const links = [...FILE_CONTENT.matchAll(/- link \\\"([^\\\"]+)\\\"/g)].map(m => m[1]);\n          const buttons = [...FILE_CONTENT.matchAll(/- button \\\"([^\\\"]+)\\\"/g)].map(m => m[1]);\n          const inputs = [...FILE_CONTENT.matchAll(/- textbox|- checkbox|- radio/g)];\n          console.log('Links:', links.length, '| Buttons:', buttons.length, '| Inputs:', inputs.length);\n          console.log('Navigation:', links.slice(0, 10).join(', '));\n        \")\n        → processes in sandbox, returns ~200B summary\n```\n\n**Total context: ~250B** instead of 135K tokens.\n\n### Workflow C: Console & Network (save to file if large)\n\n```\nbrowser_console_messages(level: \"error\", filename: \"/tmp/console.md\")\n→ ctx_execute_file(path: \"/tmp/console.md\", ...) or ctx_index(path: \"/tmp/console.md\", ...)\n\nbrowser_network_requests(includeStatic: false, filename: \"/tmp/network.md\")\n→ ctx_execute_file(path: \"/tmp/network.md\", ...) or ctx_index(path: \"/tmp/network.md\", ...)\n```\n\n### CRITICAL: Why `filename` + `path` is mandatory\n\n| Approach | Context cost | Correct? |\n|----------|-------------|----------|\n| `browser_snapshot()` → raw into context | **135K tokens** | NO |\n| `browser_snapshot()` → `ctx_index(content: raw)` | **270K tokens** (doubled!) | NO |\n| `browser_snapshot(filename)` → `ctx_index(path)` → `ctx_search` | **~430B** | YES |\n| `browser_snapshot(filename)` → `ctx_execute_file(path)` | **~250B** | YES |\n\n### Key Rule\n\n> **ALWAYS use `filename` parameter when calling `browser_snapshot`, `browser_console_messages`, or `browser_network_requests`.**\n> Then process via `ctx_index(path: ...)` or `ctx_execute_file(path: ...)` — never `ctx_index(content: ...)`.\n>\n> Data flow: **Playwright → file → server-side read → context**. Never: **Playwright → context → ctx_index(content) → context again**.\n\n## Subagent Usage\n\nSubagents automatically receive context-mode tool routing via a PreToolUse hook. You do NOT need to manually add tool names to subagent prompts — the hook injects them. Just write natural task descriptions.\n\n## Anti-Patterns\n\n- Using `curl http://api/endpoint` via Bash → 50KB floods context. Use `ctx_execute` with fetch instead.\n- Using `cat large-file.json` via Bash → entire file in context. Use `ctx_execute_file` instead.\n- Using `gh pr list` via Bash → raw JSON in context. Use `ctx_execute` with `--jq` filter instead.\n- Piping Bash output through `| head -20` → you lose the rest. Use `ctx_execute` to analyze ALL data and print summary.\n- Narrowing `ctx_execute` output upstream of capture → `ctx_execute` captures, `ctx_search` filters; merging the layers drops data that the index never sees. See `references/anti-patterns.md` §8.\n- Running `npm test` via Bash → full test output in context. Use `ctx_execute` to capture and summarize.\n- Calling `browser_snapshot()` WITHOUT `filename` parameter → 135K tokens flood context. **Always** use `browser_snapshot(filename: \"/tmp/snap.md\")`.\n- Calling `browser_console_messages()` or `browser_network_requests()` WITHOUT `filename` → entire output floods context. **Always** use the `filename` parameter.\n- Passing ANY large data to `ctx_index(content: ...)` → data enters context as a parameter. **Always** use `ctx_index(path: ...)` to read server-side. The `content` parameter should only be used for small inline text you're composing yourself.\n- Calling an MCP tool (Context7 `query-docs`, GitHub API, etc.) then passing the response to `ctx_index(content: response)` → **doubles** context usage. The response is already in context — use it directly or save to file first.\n- Ignoring `browser_navigate` auto-snapshot → navigation response includes a full page snapshot. Don't rely on it for inspection — call `browser_snapshot(filename)` separately.\n- Expecting `ctx_stats` to reset or wipe anything → `ctx_stats` is read-only (shows stats only). Use `ctx_purge(confirm: true)` to permanently delete all indexed content.\n\n## Reference Files\n\n- [JavaScript/TypeScript Patterns](./references/patterns-javascript.md)\n- [Python Patterns](./references/patterns-python.md)\n- [Shell Patterns](./references/patterns-shell.md)\n- [Anti-Patterns & Common Mistakes](./references/anti-patterns.md)\n","skills/context-mode/references/anti-patterns.md":"# Anti-Patterns: Common Mistakes with execute / execute_file\n\nAvoid these pitfalls when using context-mode tools.\n\n---\n\n## 1. Using execute for Small Outputs (< 20 Lines)\n\n**Problem:** `execute` adds overhead (LLM summarization call). For small outputs, Bash is faster and cheaper.\n\n```\nBAD — wasteful use of execute:\n  Tool: execute\n  code: \"echo $(node --version)\"\n  language: shell\n\nGOOD — just use Bash:\n  Tool: Bash\n  command: node --version\n```\n\n**Rule:** If the output fits comfortably in your context window (under ~20 lines), use Bash directly. Reserve `execute` for outputs that would bloat context or need intelligent summarization.\n\nMore examples of \"just use Bash\":\n- `git status` — usually 5-10 lines\n- `ls -la` — directory listing\n- `cat .env.example` — small config file\n- `pwd`, `whoami`, `which node`\n- `wc -l src/index.ts` — single line output\n\n---\n\n## 2. Forgetting to Print Output\n\n**Problem:** `execute` captures stdout. If your code doesn't print anything, the summary will be empty or meaningless.\n\n```javascript\n// BAD — no output:\nconst fs = require('fs');\nconst data = JSON.parse(fs.readFileSync('package.json', 'utf8'));\nconst deps = Object.keys(data.dependencies);\n// Nothing printed! The LLM sees empty stdout.\n\n// GOOD — explicit output:\nconst fs = require('fs');\nconst data = JSON.parse(fs.readFileSync('package.json', 'utf8'));\nconst deps = Object.keys(data.dependencies);\nconsole.log(`Dependencies (${deps.length}):`);\ndeps.forEach(d => console.log(`  ${d}: ${data.dependencies[d]}`));\n```\n\n```python\n# BAD — computes but never prints:\nwith open('data.json') as f:\n    data = json.load(f)\nresult = [x for x in data if x['status'] == 'error']\n# result is lost — never printed\n\n# GOOD — always print results:\nwith open('data.json') as f:\n    data = json.load(f)\nresult = [x for x in data if x['status'] == 'error']\nprint(f\"Found {len(result)} errors:\")\nfor r in result:\n    print(f\"  {r['id']}: {r['message']}\")\n```\n\n**Rule:** Every `execute` script must end with print/console.log of the results you want summarized.\n\n---\n\n## 3. Using Bash When JS/Python Would Be Cleaner\n\n**Problem:** Complex data processing in Bash quickly becomes unreadable and error-prone.\n\n```shell\n# BAD — parsing JSON in Bash is fragile:\ncat data.json | python3 -c \"\nimport sys, json\ndata = json.load(sys.stdin)\nfor item in data:\n    if item['status'] == 'error':\n        print(item['id'], item['message'])\n\"\n# If you're already using Python inline, just use language: python\n```\n\n```javascript\n// GOOD — use the right language for the job:\n// language: javascript\nconst data = require('./data.json');\ndata.filter(x => x.status === 'error')\n    .forEach(x => console.log(`${x.id}: ${x.message}`));\n```\n\n**Rule:** If your Bash script contains inline Python/Node or complex `jq`/`awk` chains, switch to `language: python` or `language: javascript` instead.\n\nSigns you should switch from shell:\n- Using `python3 -c` or `node -e` inside the shell script\n- More than 3 pipes chained together\n- Using `jq` for complex JSON transformations\n- Nested loops in Bash\n- String manipulation beyond simple `cut`/`sed`\n\n---\n\n## 4. Loading Entire Files into Context Then Processing\n\n**Problem:** Reading a 10,000-line file with `Read` tool, then asking about it, wastes your entire context window. Use `execute` to process the file and return only the summary.\n\n```\nBAD workflow:\n  1. Read tool: read 'server.log' (10,000 lines loaded into context)\n  2. \"Find all errors in this log\"\n  → 10,000 lines consumed context for a question that needs ~20 lines of output\n\nGOOD workflow:\n  1. execute with language: python\n     code: |\n       with open('server.log') as f:\n           errors = [l for l in f if 'ERROR' in l]\n       print(f\"Total errors: {len(errors)}\")\n       for e in errors[-20:]:\n           print(e.strip())\n     summary_prompt: \"Categorize errors and report frequency\"\n  → Only the summary enters context\n```\n\n```\nBAD workflow:\n  1. Read tool: read 'package-lock.json' (20,000 lines)\n  2. \"What version of lodash is installed?\"\n\nGOOD workflow:\n  1. execute with language: javascript\n     code: |\n       const lock = require('./package-lock.json');\n       const find = (deps, name) => {\n         if (deps[name]) return deps[name].version;\n         for (const [, dep] of Object.entries(deps)) {\n           if (dep.dependencies) {\n             const v = find(dep.dependencies, name);\n             if (v) return v;\n           }\n         }\n       };\n       console.log(`lodash: ${find(lock.dependencies, 'lodash') || 'not found'}`);\n     summary_prompt: \"Report the installed version of lodash\"\n```\n\n**Rule:** If a file is over 200 lines and you only need specific data from it, use `execute` to extract what you need rather than reading the whole file into context.\n\n---\n\n## 5. Not Using JSON.stringify for Structured Output\n\n**Problem:** Printing objects without serialization gives `[object Object]` in JavaScript.\n\n```javascript\n// BAD — prints [object Object]:\nconst pkg = require('./package.json');\nconsole.log(pkg.dependencies);\n// Output: [object Object]\n\n// GOOD — serialize properly:\nconst pkg = require('./package.json');\nconsole.log(JSON.stringify(pkg.dependencies, null, 2));\n// Output: { \"react\": \"^18.2.0\", \"next\": \"^14.0.0\", ... }\n```\n\n```javascript\n// BAD — loses structure in arrays:\nconst items = [{name: 'a', value: 1}, {name: 'b', value: 2}];\nconsole.log(items);\n// May print unhelpfully\n\n// GOOD — format as table:\nconst items = [{name: 'a', value: 1}, {name: 'b', value: 2}];\nconsole.log('Name  | Value');\nconsole.log('------|------');\nitems.forEach(i => console.log(`${i.name.padEnd(5)} | ${i.value}`));\n// Or use JSON.stringify:\nconsole.log(JSON.stringify(items, null, 2));\n```\n\n**Rule:** Always use `JSON.stringify(data, null, 2)` for objects/arrays in JavaScript, or format as a readable table. In Python, use `json.dumps(data, indent=2)` or `pprint.pprint(data)`.\n\n---\n\n## 6. Timeout Too Short for Network Operations\n\n**Problem:** Default timeout may be too short for API calls, builds, or test suites.\n\n```\nBAD — will timeout on API calls:\n  Tool: execute\n  code: |\n    const resp = await fetch('https://api.slow-service.com/data');\n    console.log(await resp.json());\n  language: javascript\n  timeout_ms: 5000  ← API may take 10+ seconds\n\nGOOD — generous timeout for network:\n  Tool: execute\n  code: |\n    const resp = await fetch('https://api.slow-service.com/data');\n    console.log(JSON.stringify(await resp.json(), null, 2));\n  language: javascript\n  timeout_ms: 30000  ← 30 seconds for network calls\n```\n\n**Recommended timeouts:**\n| Operation | timeout_ms |\n|-----------|-----------|\n| File reading/parsing | 5000 - 10000 |\n| Local computation | 10000 |\n| Single API request | 15000 - 30000 |\n| Paginated API calls | 30000 - 60000 |\n| npm install / build | 120000 |\n| Full test suite | 120000 - 300000 |\n\n**Rule:** Always consider what your script does and set `timeout_ms` accordingly. Network calls and builds need significantly more time than file operations.\n\n---\n\n## 7. Not Using summary_prompt Effectively\n\n**Problem:** Without a good `summary_prompt`, the LLM summarization may focus on irrelevant details.\n\n```\nBAD — vague or missing summary_prompt:\n  summary_prompt: \"Summarize this\"\n  → May focus on the wrong aspects\n\nGOOD — specific and actionable:\n  summary_prompt: \"Report the count of failing tests, list each failure with its file path and error message, and identify any patterns in the failures\"\n```\n\n**Tips for effective summary_prompt:**\n- Be specific about what data points you need\n- Ask for counts and metrics, not just descriptions\n- Request actionable insights (\"suggest fixes\", \"identify patterns\")\n- Mention the format you want (\"list as bullet points\", \"group by category\")\n\n---\n\n## 8. `ctx_execute` Captures, `ctx_search` Filters — Don't Merge the Layers\n\n`ctx_execute` and `ctx_search` are two layers, not one. `ctx_execute` exists to **capture** full output into the index. `ctx_search` exists to **filter** what was captured. When you narrow the output *inside* `ctx_execute` — at the shell layer, in script logic, anywhere upstream of capture — the dropped lines never reach the index. `ctx_search` cannot recover what was never written. You've spent the capture budget and lost the data you'd want to query later, for no context-window benefit: large stdout is already auto-indexed, not returned inline.\n\nThe mental model:\n\n```\n┌──────────────────────┐      ┌──────────────────────┐\n│   ctx_execute        │ ───▶ │   ctx_search         │\n│   (capture layer)    │      │   (filter layer)     │\n│                      │      │                      │\n│   produces full      │      │   queries the        │\n│   output into index  │      │   captured index     │\n└──────────────────────┘      └──────────────────────┘\n        ▲                              ▲\n        │                              │\n   Job: capture                   Job: narrow\n   Do NOT narrow here.            Do all narrowing here.\n```\n\n**Rule:** Treat `ctx_execute`'s output as write-once to the index. Run the command in full and let it index. Do every narrowing step downstream, via `ctx_search`. If you find yourself trimming inside `ctx_execute`, you are doing the filter layer's job in the capture layer — stop and move the narrowing to a `ctx_search` call.\n\n**Why the layer separation matters:** the index is what survives across calls and across sessions. Anything you discard before the index is gone permanently from this session's queryable surface. Anything you keep is queryable, repeatedly, with different questions, at zero re-execution cost.\n\n---\n\n## Summary Checklist\n\nBefore using `execute`, verify:\n\n- [ ] Output will be > 20 lines (otherwise use Bash)\n- [ ] Script prints all results to stdout\n- [ ] Objects are serialized with JSON.stringify / json.dumps\n- [ ] Timeout matches the operation type\n- [ ] Language matches the task (JS for JSON/API, Python for data, Shell for pipes)\n- [ ] summary_prompt is specific and actionable\n- [ ] Not loading a file into context that could be processed inside execute\n","skills/context-mode/references/patterns-javascript.md":"# JavaScript / TypeScript Patterns for execute\n\nPractical patterns for using `execute` with `language: javascript`.\nAll examples assume Node.js runtime with native fetch (Node 18+).\n\n---\n\n## API Response Processing\n\n### Fetch and summarize a REST API\n\n```javascript\n// execute: Analyze API health endpoint\nconst resp = await fetch('https://api.example.com/health');\nconst data = await resp.json();\n\nconsole.log('=== Service Health ===');\nconsole.log(`Status: ${data.status}`);\nconsole.log(`Uptime: ${data.uptime}`);\nconsole.log(`Timestamp: ${data.timestamp}`);\n\nif (data.services) {\n  console.log('\\n=== Service Components ===');\n  for (const [name, info] of Object.entries(data.services)) {\n    console.log(`  ${name}: ${info.status} (latency: ${info.latency_ms}ms)`);\n  }\n}\n\nif (data.errors && data.errors.length > 0) {\n  console.log('\\n=== Recent Errors ===');\n  data.errors.slice(0, 10).forEach(e => {\n    console.log(`  [${e.timestamp}] ${e.code}: ${e.message}`);\n  });\n}\n```\n> summary_prompt: \"Report overall health, list any degraded services, and highlight errors\"\n\n### Paginated API collection\n\n```javascript\n// execute: Fetch all open issues from GitHub API\nconst owner = 'org';\nconst repo = 'project';\nlet page = 1;\nlet allIssues = [];\n\nwhile (true) {\n  const resp = await fetch(\n    `https://api.github.com/repos/${owner}/${repo}/issues?state=open&per_page=100&page=${page}`,\n    { headers: { 'Accept': 'application/vnd.github.v3+json' } }\n  );\n  const issues = await resp.json();\n  if (issues.length === 0) break;\n  allIssues.push(...issues);\n  page++;\n}\n\nconsole.log(`Total open issues: ${allIssues.length}\\n`);\n\n// Group by labels\nconst byLabel = {};\nallIssues.forEach(issue => {\n  issue.labels.forEach(label => {\n    byLabel[label.name] = (byLabel[label.name] || 0) + 1;\n  });\n});\n\nconsole.log('=== Issues by Label ===');\nObject.entries(byLabel)\n  .sort((a, b) => b[1] - a[1])\n  .forEach(([label, count]) => console.log(`  ${label}: ${count}`));\n\n// Oldest issues\nconsole.log('\\n=== 10 Oldest Issues ===');\nallIssues\n  .sort((a, b) => new Date(a.created_at) - new Date(b.created_at))\n  .slice(0, 10)\n  .forEach(i => console.log(`  #${i.number} (${i.created_at.slice(0,10)}): ${i.title}`));\n```\n> summary_prompt: \"Summarize issue distribution by label, highlight stale issues, suggest priorities\"\n> timeout_ms: 30000\n\n---\n\n## JSON Data Analysis\n\n### Analyze a large JSON config file\n\n```javascript\nconst fs = require('fs');\nconst data = JSON.parse(fs.readFileSync('tsconfig.json', 'utf8'));\n\nconsole.log('=== TSConfig Analysis ===');\nconsole.log(`Target: ${data.compilerOptions?.target}`);\nconsole.log(`Module: ${data.compilerOptions?.module}`);\nconsole.log(`Strict: ${data.compilerOptions?.strict}`);\nconsole.log(`Paths aliases: ${Object.keys(data.compilerOptions?.paths || {}).length}`);\n\nif (data.compilerOptions?.paths) {\n  console.log('\\n=== Path Aliases ===');\n  for (const [alias, targets] of Object.entries(data.compilerOptions.paths)) {\n    console.log(`  ${alias} -> ${targets.join(', ')}`);\n  }\n}\n\nif (data.include) console.log(`\\nInclude: ${data.include.join(', ')}`);\nif (data.exclude) console.log(`Exclude: ${data.exclude.join(', ')}`);\nif (data.references) {\n  console.log(`\\nProject References: ${data.references.length}`);\n  data.references.forEach(r => console.log(`  ${r.path}`));\n}\n```\n> summary_prompt: \"Report compiler strictness, module system, and any unusual configuration\"\n\n### Diff two JSON files\n\n```javascript\nconst fs = require('fs');\nconst a = JSON.parse(fs.readFileSync('config.prod.json', 'utf8'));\nconst b = JSON.parse(fs.readFileSync('config.staging.json', 'utf8'));\n\nfunction diffObjects(obj1, obj2, path = '') {\n  const allKeys = new Set([...Object.keys(obj1 || {}), ...Object.keys(obj2 || {})]);\n  for (const key of allKeys) {\n    const fullPath = path ? `${path}.${key}` : key;\n    if (!(key in (obj1 || {}))) {\n      console.log(`+ ${fullPath}: ${JSON.stringify(obj2[key])}`);\n    } else if (!(key in (obj2 || {}))) {\n      console.log(`- ${fullPath}: ${JSON.stringify(obj1[key])}`);\n    } else if (typeof obj1[key] === 'object' && typeof obj2[key] === 'object') {\n      diffObjects(obj1[key], obj2[key], fullPath);\n    } else if (JSON.stringify(obj1[key]) !== JSON.stringify(obj2[key])) {\n      console.log(`~ ${fullPath}: ${JSON.stringify(obj1[key])} -> ${JSON.stringify(obj2[key])}`);\n    }\n  }\n}\n\nconsole.log('=== Config Diff: prod vs staging ===');\ndiffObjects(a, b);\n```\n> summary_prompt: \"List all configuration differences between prod and staging environments\"\n\n---\n\n## Package.json / Lock File Analysis\n\n### Dependency audit\n\n```javascript\nconst fs = require('fs');\nconst pkg = JSON.parse(fs.readFileSync('package.json', 'utf8'));\n\nconst deps = Object.entries(pkg.dependencies || {});\nconst devDeps = Object.entries(pkg.devDependencies || {});\n\nconsole.log(`Package: ${pkg.name}@${pkg.version}`);\nconsole.log(`Dependencies: ${deps.length}`);\nconsole.log(`DevDependencies: ${devDeps.length}`);\n\n// Find non-pinned versions\nconsole.log('\\n=== Non-Pinned Dependencies ===');\n[...deps, ...devDeps].forEach(([name, version]) => {\n  if (version.startsWith('^') || version.startsWith('~') || version === '*') {\n    console.log(`  ${name}: ${version}`);\n  }\n});\n\n// Find duplicated categories\nconsole.log('\\n=== Scripts ===');\nObject.entries(pkg.scripts || {}).forEach(([name, cmd]) => {\n  console.log(`  ${name}: ${cmd}`);\n});\n\n// Workspace detection\nif (pkg.workspaces) {\n  console.log('\\n=== Monorepo Workspaces ===');\n  const ws = Array.isArray(pkg.workspaces) ? pkg.workspaces : pkg.workspaces.packages || [];\n  ws.forEach(w => console.log(`  ${w}`));\n}\n```\n> summary_prompt: \"Report dependency health: unpinned versions, total count, any security concerns from package names\"\n\n### Lock file drift detection\n\n```javascript\nconst fs = require('fs');\nconst pkg = JSON.parse(fs.readFileSync('package.json', 'utf8'));\n\nlet lockExists = { npm: false, yarn: false, pnpm: false };\ntry { fs.accessSync('package-lock.json'); lockExists.npm = true; } catch {}\ntry { fs.accessSync('yarn.lock'); lockExists.yarn = true; } catch {}\ntry { fs.accessSync('pnpm-lock.yaml'); lockExists.pnpm = true; } catch {}\n\nconsole.log('=== Lock File Status ===');\nObject.entries(lockExists).forEach(([mgr, exists]) => {\n  console.log(`  ${mgr}: ${exists ? 'PRESENT' : 'missing'}`);\n});\n\nconst activeLocks = Object.entries(lockExists).filter(([, v]) => v);\nif (activeLocks.length > 1) {\n  console.log('\\nWARNING: Multiple lock files detected! This causes inconsistent installs.');\n}\nif (activeLocks.length === 0) {\n  console.log('\\nWARNING: No lock file found! Dependencies are not reproducible.');\n}\n\n// Check engines\nif (pkg.engines) {\n  console.log('\\n=== Required Engines ===');\n  Object.entries(pkg.engines).forEach(([e, v]) => console.log(`  ${e}: ${v}`));\n}\n```\n> summary_prompt: \"Report lock file health and any warnings about package management\"\n\n---\n\n## File Content Parsing\n\n### Parse and summarize a large markdown file\n\n```javascript\nconst fs = require('fs');\nconst content = fs.readFileSync('CHANGELOG.md', 'utf8');\nconst lines = content.split('\\n');\n\nconst sections = [];\nlet currentSection = null;\n\nfor (const line of lines) {\n  if (line.startsWith('## ')) {\n    if (currentSection) sections.push(currentSection);\n    currentSection = { title: line.replace('## ', ''), items: 0, breaking: 0 };\n  } else if (currentSection && line.startsWith('- ')) {\n    currentSection.items++;\n    if (line.toLowerCase().includes('breaking') || line.toLowerCase().includes('BREAKING')) {\n      currentSection.breaking++;\n    }\n  }\n}\nif (currentSection) sections.push(currentSection);\n\nconsole.log(`Total versions: ${sections.length}\\n`);\nconsole.log('=== Recent Versions ===');\nsections.slice(0, 10).forEach(s => {\n  const warn = s.breaking > 0 ? ` [${s.breaking} BREAKING]` : '';\n  console.log(`  ${s.title}: ${s.items} changes${warn}`);\n});\n\nconst totalBreaking = sections.reduce((sum, s) => sum + s.breaking, 0);\nif (totalBreaking > 0) {\n  console.log(`\\nTotal breaking changes across all versions: ${totalBreaking}`);\n}\n```\n> summary_prompt: \"Summarize recent releases, highlight breaking changes, report release cadence\"\n\n---\n\n## Test Output Parsing\n\n### Run tests and extract failures\n\n```javascript\nconst { execSync } = require('child_process');\n\nlet output;\ntry {\n  output = execSync('npx jest --json 2>/dev/null', { encoding: 'utf8', maxBuffer: 50 * 1024 * 1024 });\n} catch (e) {\n  output = e.stdout || '';\n}\n\ntry {\n  const results = JSON.parse(output);\n  console.log(`=== Test Results ===`);\n  console.log(`Suites: ${results.numPassedTestSuites} passed, ${results.numFailedTestSuites} failed`);\n  console.log(`Tests:  ${results.numPassedTests} passed, ${results.numFailedTests} failed`);\n  console.log(`Time:   ${(results.testResults || []).reduce((s, t) => s + (t.endTime - t.startTime), 0)}ms`);\n\n  const failures = (results.testResults || []).filter(t => t.status === 'failed');\n  if (failures.length > 0) {\n    console.log('\\n=== Failed Tests ===');\n    failures.forEach(suite => {\n      console.log(`\\nSuite: ${suite.name}`);\n      (suite.assertionResults || [])\n        .filter(a => a.status === 'failed')\n        .forEach(a => {\n          console.log(`  FAIL: ${a.ancestorTitles.join(' > ')} > ${a.title}`);\n          console.log(`    ${(a.failureMessages || []).join('\\n    ').slice(0, 200)}`);\n        });\n    });\n  }\n} catch {\n  console.log('Could not parse JSON output. Raw output:');\n  console.log(output.slice(0, 5000));\n}\n```\n> summary_prompt: \"Report test pass/fail counts, list each failing test with its error message\"\n> timeout_ms: 60000\n","skills/context-mode/references/patterns-python.md":"# Python Patterns for execute\n\nPractical patterns for using `execute` with `language: python`.\nAll examples use Python standard library only (no pip installs required).\n\n---\n\n## Data Processing with json Module\n\n### Analyze a large JSON dataset\n\n```python\nimport json\n\nwith open('data/users.json') as f:\n    users = json.load(f)\n\nprint(f\"Total users: {len(users)}\")\n\n# Group by status\nfrom collections import Counter\nstatuses = Counter(u.get('status', 'unknown') for u in users)\nprint(\"\\n=== Users by Status ===\")\nfor status, count in statuses.most_common():\n    print(f\"  {status}: {count}\")\n\n# Find anomalies\ninactive_with_recent = [\n    u for u in users\n    if u.get('status') == 'inactive' and u.get('last_login', '') > '2025-01-01'\n]\nif inactive_with_recent:\n    print(f\"\\n=== Anomaly: {len(inactive_with_recent)} inactive users with recent logins ===\")\n    for u in inactive_with_recent[:10]:\n        print(f\"  {u['email']} - last login: {u['last_login']}\")\n\n# Field completeness\nfields = ['name', 'email', 'phone', 'address']\nprint(\"\\n=== Field Completeness ===\")\nfor field in fields:\n    filled = sum(1 for u in users if u.get(field))\n    pct = (filled / len(users)) * 100 if users else 0\n    print(f\"  {field}: {filled}/{len(users)} ({pct:.1f}%)\")\n```\n> summary_prompt: \"Report user distribution, data quality issues, and any anomalies found\"\n\n### Merge and compare two JSON configs\n\n```python\nimport json\n\nwith open('config.default.json') as f:\n    defaults = json.load(f)\nwith open('config.local.json') as f:\n    local = json.load(f)\n\ndef compare(d1, d2, path=\"\"):\n    diffs = []\n    all_keys = set(list(d1.keys()) + list(d2.keys()))\n    for key in sorted(all_keys):\n        full_path = f\"{path}.{key}\" if path else key\n        if key not in d1:\n            diffs.append(f\"  + {full_path} = {json.dumps(d2[key])}\")\n        elif key not in d2:\n            diffs.append(f\"  - {full_path} = {json.dumps(d1[key])}\")\n        elif isinstance(d1[key], dict) and isinstance(d2[key], dict):\n            diffs.extend(compare(d1[key], d2[key], full_path))\n        elif d1[key] != d2[key]:\n            diffs.append(f\"  ~ {full_path}: {json.dumps(d1[key])} -> {json.dumps(d2[key])}\")\n    return diffs\n\ndiffs = compare(defaults, local)\nprint(f\"Config differences: {len(diffs)}\")\nif diffs:\n    print(\"\\n=== Changes (local overrides) ===\")\n    for d in diffs:\n        print(d)\nelse:\n    print(\"No differences found — local matches defaults.\")\n```\n> summary_prompt: \"List all local config overrides and flag any potentially dangerous changes\"\n\n---\n\n## CSV / Log File Analysis\n\n### Analyze a CSV file\n\n```python\nimport csv\nfrom collections import Counter, defaultdict\nfrom datetime import datetime\n\nwith open('data/transactions.csv') as f:\n    reader = csv.DictReader(f)\n    rows = list(reader)\n\nprint(f\"Total records: {len(rows)}\")\nprint(f\"Columns: {', '.join(rows[0].keys()) if rows else 'none'}\")\n\n# Summary statistics for numeric column\namounts = [float(r['amount']) for r in rows if r.get('amount')]\nif amounts:\n    print(f\"\\n=== Amount Statistics ===\")\n    print(f\"  Min:    ${min(amounts):,.2f}\")\n    print(f\"  Max:    ${max(amounts):,.2f}\")\n    print(f\"  Mean:   ${sum(amounts)/len(amounts):,.2f}\")\n    print(f\"  Median: ${sorted(amounts)[len(amounts)//2]:,.2f}\")\n    print(f\"  Total:  ${sum(amounts):,.2f}\")\n\n# Group by category\nif 'category' in rows[0]:\n    by_cat = defaultdict(list)\n    for r in rows:\n        by_cat[r['category']].append(float(r.get('amount', 0)))\n    print(\"\\n=== By Category ===\")\n    for cat, vals in sorted(by_cat.items(), key=lambda x: -sum(x[1])):\n        print(f\"  {cat}: {len(vals)} txns, total ${sum(vals):,.2f}\")\n```\n> summary_prompt: \"Summarize transaction patterns, highlight outliers, report category distribution\"\n\n### Parse application logs\n\n```python\nimport re\nfrom collections import Counter\nfrom datetime import datetime\n\nerror_pattern = re.compile(r'\\[(\\d{4}-\\d{2}-\\d{2} \\d{2}:\\d{2}:\\d{2})\\] (\\w+): (.+)')\n\nlevels = Counter()\nerrors_by_type = Counter()\nhourly = Counter()\n\nwith open('app.log') as f:\n    for line in f:\n        match = error_pattern.match(line.strip())\n        if match:\n            timestamp, level, message = match.groups()\n            levels[level] += 1\n            hour = timestamp[:13]\n            hourly[hour] += 1\n            if level in ('ERROR', 'FATAL'):\n                # Extract error class\n                err_type = message.split(':')[0].strip()\n                errors_by_type[err_type] += 1\n\nprint(\"=== Log Level Distribution ===\")\nfor level, count in levels.most_common():\n    print(f\"  {level}: {count}\")\n\nprint(\"\\n=== Top Error Types ===\")\nfor err, count in errors_by_type.most_common(10):\n    print(f\"  {err}: {count}\")\n\nprint(\"\\n=== Hourly Activity (last 24h) ===\")\nfor hour, count in sorted(hourly.items())[-24:]:\n    bar = '#' * min(count // 10, 50)\n    print(f\"  {hour}: {count:>5} {bar}\")\n```\n> summary_prompt: \"Report error rates, identify the most common failures, and note any traffic spikes\"\n\n---\n\n## Text Extraction and Summarization\n\n### Extract TODOs and FIXMEs from codebase\n\n```python\nimport os\nimport re\n\npattern = re.compile(r'(TODO|FIXME|HACK|XXX|WARN)[:\\s](.+)', re.IGNORECASE)\nresults = []\n\nfor root, dirs, files in os.walk('src'):\n    # Skip node_modules and hidden dirs\n    dirs[:] = [d for d in dirs if not d.startswith('.') and d != 'node_modules']\n    for fname in files:\n        if fname.endswith(('.ts', '.tsx', '.js', '.jsx', '.py')):\n            filepath = os.path.join(root, fname)\n            with open(filepath) as f:\n                for i, line in enumerate(f, 1):\n                    match = pattern.search(line)\n                    if match:\n                        results.append({\n                            'file': filepath,\n                            'line': i,\n                            'type': match.group(1).upper(),\n                            'text': match.group(2).strip()\n                        })\n\nfrom collections import Counter\nby_type = Counter(r['type'] for r in results)\n\nprint(f\"Total annotations found: {len(results)}\\n\")\nprint(\"=== By Type ===\")\nfor t, c in by_type.most_common():\n    print(f\"  {t}: {c}\")\n\nprint(\"\\n=== All Items ===\")\nfor r in results:\n    print(f\"  [{r['type']}] {r['file']}:{r['line']} — {r['text'][:100]}\")\n```\n> summary_prompt: \"Categorize TODOs by urgency, group by file area, suggest which to address first\"\n\n### Summarize a large text/markdown file\n\n```python\nwith open('ARCHITECTURE.md') as f:\n    content = f.read()\n\nlines = content.split('\\n')\nprint(f\"Total lines: {len(lines)}\")\nprint(f\"Total words: {len(content.split())}\")\n\n# Extract structure\nheadings = [(i+1, line) for i, line in enumerate(lines) if line.startswith('#')]\nprint(f\"Sections: {len(headings)}\\n\")\n\nprint(\"=== Document Structure ===\")\nfor line_num, heading in headings:\n    level = len(heading) - len(heading.lstrip('#'))\n    indent = '  ' * (level - 1)\n    print(f\"  {indent}{heading.strip()} (line {line_num})\")\n\n# Extract code blocks\nimport re\ncode_blocks = re.findall(r'```(\\w+)?', content)\nif code_blocks:\n    from collections import Counter\n    langs = Counter(b for b in code_blocks if b)\n    print(f\"\\n=== Code Blocks: {len(code_blocks)} total ===\")\n    for lang, count in langs.most_common():\n        print(f\"  {lang}: {count}\")\n\n# Print first 50 lines for content preview\nprint(\"\\n=== Content Preview (first 50 lines) ===\")\nfor line in lines[:50]:\n    print(line)\n```\n> summary_prompt: \"Summarize the document structure, key architectural decisions, and main components described\"\n\n---\n\n## File Comparison\n\n### Compare two source files\n\n```python\nimport difflib\n\nwith open('src/auth/login.ts') as f:\n    old_lines = f.readlines()\nwith open('src/auth/login.new.ts') as f:\n    new_lines = f.readlines()\n\ndiff = list(difflib.unified_diff(old_lines, new_lines, fromfile='login.ts', tofile='login.new.ts', lineterm=''))\n\nadditions = sum(1 for l in diff if l.startswith('+') and not l.startswith('+++'))\ndeletions = sum(1 for l in diff if l.startswith('-') and not l.startswith('---'))\n\nprint(f\"Changes: +{additions} -{deletions}\\n\")\n\nif diff:\n    print(\"=== Diff ===\")\n    for line in diff:\n        print(line)\nelse:\n    print(\"Files are identical.\")\n```\n> summary_prompt: \"Describe the functional changes between the old and new versions\"\n\n### Find duplicate content across files\n\n```python\nimport os\nimport hashlib\nfrom collections import defaultdict\n\nfile_hashes = defaultdict(list)\n\nfor root, dirs, files in os.walk('src'):\n    dirs[:] = [d for d in dirs if not d.startswith('.') and d != 'node_modules']\n    for fname in files:\n        if fname.endswith(('.ts', '.tsx', '.js', '.jsx')):\n            filepath = os.path.join(root, fname)\n            with open(filepath, 'rb') as f:\n                content_hash = hashlib.md5(f.read()).hexdigest()\n            file_hashes[content_hash].append(filepath)\n\nduplicates = {h: files for h, files in file_hashes.items() if len(files) > 1}\n\nif duplicates:\n    print(f\"Found {len(duplicates)} sets of duplicate files:\\n\")\n    for h, files in duplicates.items():\n        print(f\"  Hash: {h[:8]}...\")\n        for f in files:\n            print(f\"    {f}\")\n        print()\nelse:\n    print(\"No duplicate files found.\")\n```\n> summary_prompt: \"List all duplicate files and suggest which copies to remove\"\n","skills/context-mode/references/patterns-shell.md":"# Shell Patterns for execute\n\nPractical patterns for using `execute` with `language: shell`.\nBest for piping, filtering, and leveraging native OS tools.\n\n---\n\n## Build Output Filtering\n\n### Capture build errors only\n\n```shell\nnpm run build 2>&1 | tee /tmp/build-output.txt\nEXIT_CODE=${PIPESTATUS[0]}\n\necho \"=== Build Result ===\"\necho \"Exit code: $EXIT_CODE\"\n\nif [ \"$EXIT_CODE\" -ne 0 ]; then\n  echo \"\"\n  echo \"=== Errors ===\"\n  grep -iE '(error|failed|FAIL)' /tmp/build-output.txt | head -50\n  echo \"\"\n  echo \"=== Warnings ===\"\n  grep -iE '(warning|warn)' /tmp/build-output.txt | head -20\nelse\n  echo \"Build succeeded.\"\n  echo \"\"\n  echo \"=== Warnings (if any) ===\"\n  grep -iE '(warning|warn)' /tmp/build-output.txt | head -10\nfi\n\necho \"\"\necho \"=== Output Size ===\"\nwc -l < /tmp/build-output.txt | xargs -I{} echo \"{} total lines of output\"\nrm -f /tmp/build-output.txt\n```\n> summary_prompt: \"Report build success/failure, list all errors with file paths, and count warnings\"\n> timeout_ms: 120000\n\n### TypeScript compilation check\n\n```shell\nnpx tsc --noEmit 2>&1 | tee /tmp/tsc-output.txt\nEXIT_CODE=${PIPESTATUS[0]}\n\necho \"=== TypeScript Check ===\"\necho \"Exit code: $EXIT_CODE\"\n\nTOTAL_ERRORS=$(grep -c 'error TS' /tmp/tsc-output.txt 2>/dev/null || echo 0)\necho \"Total errors: $TOTAL_ERRORS\"\n\nif [ \"$TOTAL_ERRORS\" -gt 0 ]; then\n  echo \"\"\n  echo \"=== Errors by Code ===\"\n  grep -oP 'error TS\\d+' /tmp/tsc-output.txt | sort | uniq -c | sort -rn | head -20\n\n  echo \"\"\n  echo \"=== Errors by File ===\"\n  grep 'error TS' /tmp/tsc-output.txt | cut -d'(' -f1 | sort | uniq -c | sort -rn | head -20\n\n  echo \"\"\n  echo \"=== First 30 Errors ===\"\n  grep 'error TS' /tmp/tsc-output.txt | head -30\nfi\n\nrm -f /tmp/tsc-output.txt\n```\n> summary_prompt: \"Report type error count, most common error codes, and most affected files\"\n> timeout_ms: 60000\n\n---\n\n## Test Result Summarization\n\n### Jest test summary\n\n```shell\nnpx jest --verbose 2>&1 | tee /tmp/test-output.txt\nEXIT_CODE=${PIPESTATUS[0]}\n\necho \"\"\necho \"=== Test Summary ===\"\necho \"Exit code: $EXIT_CODE\"\n\n# Extract summary line\ngrep -E '(Tests:|Test Suites:|Snapshots:|Time:)' /tmp/test-output.txt\n\necho \"\"\necho \"=== Failed Tests ===\"\ngrep -A 2 'FAIL ' /tmp/test-output.txt | head -40\n\necho \"\"\necho \"=== Slow Tests (if reported) ===\"\ngrep -i 'slow' /tmp/test-output.txt | head -10\n\nrm -f /tmp/test-output.txt\n```\n> summary_prompt: \"Report pass/fail ratio, list all failing test names with suite, note any slow tests\"\n> timeout_ms: 120000\n\n### Pytest summary\n\n```shell\npython -m pytest --tb=short -q 2>&1 | tee /tmp/pytest-output.txt\nEXIT_CODE=${PIPESTATUS[0]}\n\necho \"\"\necho \"=== Pytest Summary ===\"\necho \"Exit code: $EXIT_CODE\"\n\n# Last 20 lines usually contain the summary\ntail -20 /tmp/pytest-output.txt\n\necho \"\"\necho \"=== Failures ===\"\ngrep -E '(FAILED|ERROR)' /tmp/pytest-output.txt | head -30\n\nrm -f /tmp/pytest-output.txt\n```\n> summary_prompt: \"Report test results, list all failures with file and test name\"\n> timeout_ms: 120000\n\n---\n\n## Log File Analysis\n\n### Filter application logs by severity\n\n```shell\nLOG_FILE=\"${1:-/var/log/app.log}\"\n\necho \"=== Log File: $LOG_FILE ===\"\necho \"Total lines: $(wc -l < \"$LOG_FILE\")\"\necho \"\"\n\necho \"=== Level Distribution ===\"\ngrep -oE '\\b(DEBUG|INFO|WARN|ERROR|FATAL)\\b' \"$LOG_FILE\" | sort | uniq -c | sort -rn\n\necho \"\"\necho \"=== Last 20 Errors ===\"\ngrep -i 'ERROR\\|FATAL' \"$LOG_FILE\" | tail -20\n\necho \"\"\necho \"=== Error Timeline (hourly) ===\"\ngrep -i 'ERROR' \"$LOG_FILE\" | grep -oE '\\d{4}-\\d{2}-\\d{2} \\d{2}' | sort | uniq -c | tail -24\n```\n> summary_prompt: \"Report error frequency, identify patterns, and note any error spikes\"\n\n### Analyze access logs\n\n```shell\nLOG_FILE=\"${1:-/var/log/access.log}\"\n\necho \"=== Access Log Summary ===\"\necho \"Total requests: $(wc -l < \"$LOG_FILE\")\"\n\necho \"\"\necho \"=== HTTP Status Codes ===\"\nawk '{print $9}' \"$LOG_FILE\" | sort | uniq -c | sort -rn | head -10\n\necho \"\"\necho \"=== Top 20 Paths ===\"\nawk '{print $7}' \"$LOG_FILE\" | sort | uniq -c | sort -rn | head -20\n\necho \"\"\necho \"=== Top 10 IPs ===\"\nawk '{print $1}' \"$LOG_FILE\" | sort | uniq -c | sort -rn | head -10\n\necho \"\"\necho \"=== 5xx Errors ===\"\nawk '$9 ~ /^5/' \"$LOG_FILE\" | tail -20\n\necho \"\"\necho \"=== Requests per Hour ===\"\nawk '{print $4}' \"$LOG_FILE\" | cut -d: -f1-2 | sort | uniq -c | tail -24\n```\n> summary_prompt: \"Report traffic patterns, error rates, most hit endpoints, and suspicious IPs\"\n\n---\n\n## Directory Size and Structure Analysis\n\n### Project structure overview\n\n```shell\necho \"=== Directory Structure ===\"\nfind . -maxdepth 3 -type d \\\n  ! -path '*/node_modules/*' \\\n  ! -path '*/.git/*' \\\n  ! -path '*/dist/*' \\\n  ! -path '*/.next/*' \\\n  ! -path '*/__pycache__/*' \\\n  | sort\n\necho \"\"\necho \"=== File Type Distribution ===\"\nfind . -type f \\\n  ! -path '*/node_modules/*' \\\n  ! -path '*/.git/*' \\\n  ! -path '*/dist/*' \\\n  | sed 's/.*\\.//' | sort | uniq -c | sort -rn | head -20\n\necho \"\"\necho \"=== Largest Files (top 20) ===\"\nfind . -type f \\\n  ! -path '*/node_modules/*' \\\n  ! -path '*/.git/*' \\\n  -exec ls -la {} \\; | sort -k5 -rn | head -20 | awk '{print $5, $9}'\n\necho \"\"\necho \"=== Directory Sizes ===\"\ndu -sh */ 2>/dev/null | sort -rh | head -15\n```\n> summary_prompt: \"Describe the project structure, identify large files that may need attention, report file type distribution\"\n\n### Disk usage investigation\n\n```shell\necho \"=== Top-Level Disk Usage ===\"\ndu -sh */ 2>/dev/null | sort -rh\n\necho \"\"\necho \"=== node_modules Size ===\"\nif [ -d \"node_modules\" ]; then\n  du -sh node_modules\n  echo \"\"\n  echo \"=== Largest node_modules packages ===\"\n  du -sh node_modules/*/ 2>/dev/null | sort -rh | head -20\nelse\n  echo \"No node_modules directory\"\nfi\n\necho \"\"\necho \"=== Build Artifacts ===\"\nfor dir in dist build .next out .cache; do\n  if [ -d \"$dir\" ]; then\n    echo \"  $dir: $(du -sh \"$dir\" | cut -f1)\"\n  fi\ndone\n\necho \"\"\necho \"=== Git Objects Size ===\"\nif [ -d \".git\" ]; then\n  du -sh .git\nfi\n```\n> summary_prompt: \"Report total project size, largest contributors, and recommend cleanup targets\"\n\n---\n\n## Git Analysis\n\n### Commit activity analysis\n\n```shell\necho \"=== Recent Commits (last 30 days) ===\"\ngit log --since=\"30 days ago\" --oneline | wc -l | xargs -I{} echo \"{} commits in last 30 days\"\n\necho \"\"\necho \"=== Commits by Author ===\"\ngit shortlog -sn --since=\"30 days ago\" | head -15\n\necho \"\"\necho \"=== Most Changed Files (last 30 days) ===\"\ngit log --since=\"30 days ago\" --pretty=format: --name-only | sort | uniq -c | sort -rn | head -20\n\necho \"\"\necho \"=== Branches ===\"\necho \"Local: $(git branch | wc -l | xargs)\"\necho \"Remote: $(git branch -r | wc -l | xargs)\"\n\necho \"\"\necho \"=== Stale Branches (merged, excluding main/master) ===\"\ngit branch --merged main 2>/dev/null | grep -v 'main\\|master\\|\\*' | head -10\n```\n> summary_prompt: \"Report development velocity, active contributors, hotspot files, and cleanup opportunities\"\n","skills/ctx-doctor/SKILL.md":"---\nname: ctx-doctor\ndescription: |\n  Run context-mode diagnostics. Checks runtimes, hooks, FTS5,\n  plugin registration, npm and marketplace versions.\n  Trigger: /context-mode:ctx-doctor\nuser-invocable: true\n---\n\n# Context Mode Doctor\n\nRun diagnostics and display results directly in the conversation.\n\n## Instructions\n\n1. Call the `ctx_doctor` MCP tool directly. It runs all checks server-side and returns a plain-text status report.\n2. Display the results verbatim — they are already formatted with plain-text status prefixes: `[OK]` PASS, `[FAIL]` FAIL, `[WARN]` WARN. Renderer-safe (no markdown task-list syntax) for cross-client compatibility (e.g., Z.ai GLM).\n3. **Fallback** (only if MCP tool call fails): Derive the **plugin root** from this skill's base directory (go up 2 levels — remove `/skills/ctx-doctor`), then run with Bash:\n   ```\n   CLI=\"<PLUGIN_ROOT>/cli.bundle.mjs\"; [ ! -f \"$CLI\" ] && CLI=\"<PLUGIN_ROOT>/build/cli.js\"; node \"$CLI\" doctor\n   ```\n   Re-display results verbatim with the same `[OK]`/`[FAIL]`/`[WARN]` prefixes.\n","skills/ctx-index/SKILL.md":"---\nname: ctx-index\ndescription: |\n  Index a local file or directory into context-mode's persistent FTS5 knowledge base\n  so future ctx_search calls can retrieve focused snippets without rereading raw files.\n  Trigger: /context-mode:ctx-index\nuser-invocable: true\n---\n\n# Context Mode Index\n\nIndex local project content for later search.\n\n## Instructions\n\n1. Prefer the `ctx_index` MCP tool when it is available.\n2. Ask for a path only if the user did not provide one and the current project root is ambiguous.\n3. Use `path`, not large inline `content`, so file bytes do not enter the conversation.\n4. For repository indexing, pass conservative bounds and a clear source label:\n\n```javascript\nctx_index({\n  path: \".\",\n  source: \"project:<name>\",\n  maxDepth: 5,\n  maxFiles: 200\n})\n```\n\n5. If MCP tools are unavailable, fall back to the CLI:\n\n```bash\ncontext-mode index . --source project:<name>\n```\n\n6. Report the indexed source label, file count or section count, and the matching search command:\n\n```javascript\nctx_search({ source: \"project:<name>\", queries: [\"...\"] })\n```\n\n## Safety\n\n- Do not index dependency directories, build outputs, secrets, or generated artifacts.\n- Prefer `--exclude` or `exclude` for project-specific noisy paths.\n- For broad repos, ask the user before raising `maxFiles` above 500.\n","skills/ctx-insight/SKILL.md":"---\nname: ctx-insight\ndescription: |\n  Open the context-mode Insight dashboard in your default browser.\n  Insight is the hosted analytics layer for AI-assisted engineering teams —\n  per-engineer productive rate, retry waste, blocker detection, role-narrowed views.\n  Trigger: /context-mode:ctx-insight\nuser-invocable: true\n---\n\n# Context Mode Insight\n\nOpen the hosted Insight dashboard in the user's default browser.\n\n## Instructions\n\n1. Call the `ctx_insight` MCP tool (no parameters). It opens\n   <https://context-mode.com/insight> in the default browser and returns a\n   confirmation line.\n2. Display the tool's output to the user.\n3. Tell the user:\n   - \"Insight opened at https://context-mode.com/insight\"\n   - The landing page at context-mode.com/insight is the single source of truth for sign-in and pricing details.\n   - If the browser did not open automatically, share the URL so they can open it manually.\n","skills/ctx-purge/SKILL.md":"---\nname: ctx-purge\ndescription: |\n  Purge the context-mode knowledge base. Permanently deletes all indexed content\n  and resets session stats. This is destructive and cannot be undone.\n  Trigger: /context-mode:ctx-purge\nuser-invocable: true\n---\n\n# Context Mode Purge\n\nPermanently deletes session data for this project. Two scopes are supported (issue #520):\n\n- **Project scope** (`scope: \"project\"`): wipes EVERYTHING — knowledge base, all session DB rows for every session, events markdown, and stats.\n- **Session scope** (`sessionId: \"<id>\"` or `scope: \"session\"`): wipes ONLY the matching session's rows + FTS5 chunks. Sibling sessions, project stats, and the FTS5 store file are preserved.\n\n## Instructions\n\n1. **Decide the scope first** with the user:\n   - \"Wipe just one session?\" → ask for the `sessionId`.\n   - \"Wipe the whole project?\" → confirm scope:'project' (this is the destructive, irreversible default).\n2. **Warn the user about scope:'project'**. Everything will be deleted:\n   - FTS5 knowledge base (all indexed content from `ctx_index`, `ctx_fetch_and_index`, `ctx_batch_execute`)\n   - Session events DB (analytics, metadata, resume snapshots) for ALL sessions in the project\n   - Session events markdown file\n   - In-memory session stats + persisted stats file\n3. Call the `mcp__context-mode__ctx_purge` MCP tool with the chosen parameters:\n   - Scoped: `{ confirm: true, sessionId: \"<id>\" }` — implies scope:'session'.\n   - Project: `{ confirm: true, scope: \"project\" }` — explicit destructive form.\n   - Bare `{ confirm: true }` still works but emits a deprecation warning. Prefer the explicit forms.\n4. Report the result to the user — the response lists exactly what was deleted and (for scoped purges) confirms that other sessions and project stats were preserved.\n\n## Schema rules\n\n- `confirm: true` is always required.\n- `sessionId` and `scope: \"project\"` together is REJECTED as ambiguous (the sessionId implies session scope; combining with project scope contradicts intent).\n- `scope: \"session\"` without `sessionId` throws — sessionId is required.\n\n## When to Use\n\n- **Scoped (per-session)**: scratch acceptance scenarios, drill replays, isolating a polluted session without losing the main working session's stats.\n- **Project**: KB contains stale or incorrect content polluting search results, switching between unrelated projects in the same session, completely fresh start.\n\n## Important\n\n- `ctx_purge` is the **only** way to delete session data. No other mechanism exists.\n- `ctx_stats` is read-only — shows statistics only.\n- `/clear` and `/compact` do NOT affect any context-mode data.\n- There is no undo. Re-index content if you need it again.\n","skills/ctx-search/SKILL.md":"---\nname: ctx-search\ndescription: |\n  Search context-mode's persistent FTS5 knowledge base for previously indexed\n  local project content, documentation, or session memory.\n  Trigger: /context-mode:ctx-search\nuser-invocable: true\n---\n\n# Context Mode Search\n\nSearch indexed content without rereading raw sources into conversation context.\n\n## Instructions\n\n1. Prefer the `ctx_search` MCP tool when it is available.\n2. Batch all related questions in one `queries` array.\n3. Scope with `source` when the user names a project or indexed label.\n4. Use short, specific queries of two to four technical terms.\n\n```javascript\nctx_search({\n  source: \"project:<name>\",\n  queries: [\"authentication middleware\", \"token refresh\"],\n  limit: 5\n})\n```\n\n5. If MCP tools are unavailable, fall back to the CLI:\n\n```bash\ncontext-mode search \"authentication middleware\" --source project:<name> --limit 5\n```\n\n6. If the index is empty, tell the user to run `/context-mode:ctx-index` or `context-mode index <path>` first.\n","skills/ctx-stats/SKILL.md":"---\nname: ctx-stats\ndescription: |\n  Show how much context window context-mode saved this session.\n  Displays token consumption, context savings ratio, and per-tool breakdown.\n  Read-only — shows stats only, no reset capability.\n  To wipe the knowledge base entirely, use ctx_purge instead.\n  Trigger: /context-mode:ctx-stats\nuser-invocable: true\n---\n\n# Context Mode Stats\n\nShow context savings for the current session.\n\n## Instructions\n\n1. Call the `mcp__context-mode__ctx_stats` MCP tool (no parameters needed).\n2. **CRITICAL**: You MUST copy-paste the ENTIRE tool output as markdown text directly into your response message. Do NOT summarize, do NOT collapse, do NOT paraphrase. The user must see the full tables without pressing ctrl+o. Copy every line exactly as returned by the tool.\n3. After the full output, add ONE sentence highlighting the key savings metric, e.g.:\n   - \"context-mode saved **12.4x** — 92% of data stayed in sandbox.\"\n   - If no data yet: \"No context-mode calls yet this session.\"\n\n## Purge\n\n- **`ctx_purge(confirm: true)`** — Permanently deletes all indexed content from the knowledge base. Use `/context-mode:ctx-purge` for this.\n","skills/ctx-upgrade/SKILL.md":"---\nname: ctx-upgrade\ndescription: |\n  Update context-mode from GitHub and fix hooks/settings.\n  Pulls latest, builds, installs, updates npm global, configures hooks.\n  Trigger: /context-mode:ctx-upgrade\nuser-invocable: true\n---\n\n# Context Mode Upgrade\n\nPull latest from GitHub and reinstall the plugin.\n\n## Instructions\n\n1. Call the `ctx_upgrade` MCP tool directly. It returns a shell command to execute.\n2. Run the returned command using your shell execution tool (Bash, shell_execute, etc.).\n3. Display results as a markdown checklist:\n   ```\n   ## context-mode upgrade\n   - [x] Pulled latest from GitHub\n   - [x] Built and installed v1.0.39\n   - [x] Hooks configured\n   - [x] Doctor: all checks PASS\n   ```\n   Use `[x]` for success, `[ ]` for failure. Show actual version numbers.\n4. Tell the user to **restart their session** to pick up the new version.\n5. **Fallback** (only if MCP tool call fails): Derive the **plugin root** from this skill's base directory (go up 2 levels — remove `/skills/ctx-upgrade`), then run with Bash:\n   ```\n   CLI=\"<PLUGIN_ROOT>/cli.bundle.mjs\"; [ ! -f \"$CLI\" ] && CLI=\"<PLUGIN_ROOT>/build/cli.js\"; node \"$CLI\" upgrade\n   ```\n"},"items":[{"name":"CLAUDE.md","path":"CLAUDE.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/CLAUDE.md","title":"Claude Agent Guidelines & System Prompt","category":"claude-rule","format":"markdown","content":"# context-mode — MANDATORY routing rules\n\ncontext-mode MCP tools available. Rules protect context window from flooding. One unrouted command dumps 56 KB into context.\n\n## Think in Code — MANDATORY\n\nAnalyze/count/filter/compare/search/parse/transform data: **write code** via `ctx_execute(language, code)`, `console.log()` only the answer. Do NOT read raw data into context. PROGRAM the analysis, not COMPUTE it. Pure JavaScript — Node.js built-ins only (`fs`, `path`, `child_process`). `try/catch`, handle `null`/`undefined`. One script replaces ten tool calls.\n\n## BLOCKED — do NOT attempt\n\n### curl / wget — BLOCKED\nIntercepted and replaced with error. Do NOT retry.\nUse: `ctx_fetch_and_index(url, source)` or `ctx_execute(language: \"javascript\", code: \"const r = await fetch(...)\")`\n\n### Inline HTTP — BLOCKED\n`fetch('http`, `requests.get(`, `requests.post(`, `http.get(`, `http.request(` — intercepted. Do NOT retry.\nUse: `ctx_execute(language, code)` — only stdout enters context\n\n### WebFetch — BLOCKED\nUse: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)`\n\n## REDIRECTED — use sandbox\n\n### Bash (>20 lines output)\nBash ONLY for: `git`, `mkdir`, `rm`, `mv`, `cd`, `ls`, `npm install`, `pip install`.\nOtherwise: `ctx_batch_execute(commands, queries)` or `ctx_execute(language: \"shell\", code: \"...\")`\n\n### Read (for analysis)\nReading to **Edit** → Read correct. Reading to **analyze/explore/summarize** → `ctx_execute_file(path, language, code)`.\n\n### Grep — may flood context\nUse `ctx_execute(language: \"shell\", code: \"grep ...\")` in sandbox.\n\n## Tool selection\n\n0. **MEMORY**: `ctx_search(sort: \"timeline\")` — after resume, check prior context before asking user.\n1. **GATHER**: `ctx_batch_execute(commands, queries)` — runs all commands, auto-indexes, returns search. ONE call replaces 30+. Each command: `{label: \"header\", command: \"...\"}`.\n2. **FOLLOW-UP**: `ctx_search(queries: [\"q1\", \"q2\", ...])` — all questions as array, ONE call (default relevance mode).\n3. **PROCESSING**: `ctx_execute(language, code)` | `ctx_execute_file(path, language, code)` — sandbox, only stdout enters context.\n4. **WEB**: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)` — raw HTML never enters context.\n5. **INDEX**: `ctx_index(content, source)` — store in FTS5 for later search.\n\n## Parallel I/O batches\n\nFor multi-URL fetches or multi-API calls, **always** include `concurrency: N` (1-8):\n\n- `ctx_batch_execute(commands: [3+ network commands], concurrency: 5)` — gh, curl, dig, docker inspect, multi-region cloud queries\n- `ctx_fetch_and_index(requests: [{url, source}, ...], concurrency: 5)` — multi-URL batch fetch\n\n**Use concurrency 4-8** for I/O-bound work (network calls, API queries). **Keep concurrency 1** for CPU-bound (npm test, build, lint) or commands sharing state (ports, lock files, same-repo writes).\n\nGitHub API rate-limit: cap at 4 for `gh` calls.\n\n## Subagent routing\n\nRouting block auto-injected into subagent prompts. Bash-type subagents upgraded to general-purpose. No manual instruction needed.\n\n## Output\n\nWrite artifacts to FILES — never inline. Return: file path + 1-line description.\nDescriptive source labels for `ctx_search(source: \"label\")`.\n\n## Session Continuity\n\nSkills, roles, and decisions persist for the entire session. Do not abandon them as the conversation grows.\n\n## Memory\n\nSession history is persistent and searchable. On resume, search BEFORE asking the user:\n\n| Need | Command |\n|------|---------|\n| What were we working on? | `ctx_search(queries: [\"summary\"], source: \"compaction\", sort: \"timeline\")` |\n| What was the first request? | `ctx_search(queries: [\"prompt\"], source: \"user-prompt\", sort: \"timeline\")` |\n| What did we decide? | `ctx_search(queries: [\"decision\"], source: \"decision\", sort: \"timeline\")` |\n| What NOT to repeat? | `ctx_search(queries: [\"rejected\"], source: \"rejected-approach\")` |\n| What constraints exist? | `ctx_search(queries: [\"constraint\"], source: \"constraint\")` |\n\nDO NOT ask \"what were we working on?\" — SEARCH FIRST.\nIf search returns 0 results, proceed as a fresh session.\n\n## ctx commands\n\n| Command | Action |\n|---------|--------|\n| `ctx stats` | Call `ctx_stats` MCP tool, display full output verbatim |\n| `ctx doctor` | Call `ctx_doctor` MCP tool, run returned shell command, display as checklist |\n| `ctx upgrade` | Call `ctx_upgrade` MCP tool, run returned shell command, display as checklist |\n| `ctx purge` | Call `ctx_purge` MCP tool with confirm: true. Warns before wiping knowledge base. |\n\nAfter /clear or /compact: knowledge base and session stats preserved. Use `ctx purge` to start fresh.\n","isInternal":false,"tokens":1175,"sizeBytes":4647},{"name":"copilot-instructions.md","path":"configs/jetbrains-copilot/copilot-instructions.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/configs/jetbrains-copilot/copilot-instructions.md","title":"GitHub Copilot Instructions","category":"copilot-instructions","format":"markdown","content":"# context-mode — MANDATORY routing rules\n\ncontext-mode MCP tools available. Rules protect context window from flooding. One unrouted command dumps 56 KB into context.\n\n## Think in Code — MANDATORY\n\nAnalyze/count/filter/compare/search/parse/transform data: **write code** via `ctx_execute(language, code)`, `console.log()` only the answer. Do NOT read raw data into context. PROGRAM the analysis, not COMPUTE it. Pure JavaScript — Node.js built-ins only (`fs`, `path`, `child_process`). `try/catch`, handle `null`/`undefined`. One script replaces ten tool calls.\n\n## BLOCKED — do NOT attempt\n\n### curl / wget — BLOCKED\nTerminal `curl`/`wget` intercepted and blocked. Do NOT retry.\nUse: `ctx_fetch_and_index(url, source)` or `ctx_execute(language: \"javascript\", code: \"const r = await fetch(...)\")`\n\n### Inline HTTP — BLOCKED\n`fetch('http`, `requests.get(`, `requests.post(`, `http.get(`, `http.request(` — intercepted. Do NOT retry.\nUse: `ctx_execute(language, code)` — only stdout enters context\n\n### WebFetch / fetch — BLOCKED\nUse: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)`\n\n## REDIRECTED — use sandbox\n\n### Terminal / run_in_terminal (>20 lines output)\nTerminal ONLY for: `git`, `mkdir`, `rm`, `mv`, `cd`, `ls`, `npm install`, `pip install`.\nOtherwise: `ctx_batch_execute(commands, queries)` or `ctx_execute(language: \"javascript\", code: \"...\")`. Use `language: \"shell\"` only when code matches the host shell.\n\n### read_file (for analysis)\nReading to **edit** → read_file correct. Reading to **analyze/explore/summarize** → `ctx_execute_file(path, language, code)`.\n\n### grep / search (large results)\nUse `ctx_execute(language: \"javascript\", code: \"...\")` in sandbox for portable filtering/counting.\n\n## Tool selection\n\n0. **MEMORY**: `ctx_search(sort: \"timeline\")` — after resume, check prior context before asking user.\n1. **GATHER**: `ctx_batch_execute(commands, queries)` — runs all commands, auto-indexes, returns search. ONE call replaces 30+. Each command: `{label: \"header\", command: \"...\"}`.\n2. **FOLLOW-UP**: `ctx_search(queries: [\"q1\", \"q2\", ...])` — all questions as array, ONE call (default relevance mode).\n3. **PROCESSING**: `ctx_execute(language, code)` | `ctx_execute_file(path, language, code)` — sandbox, only stdout enters context.\n4. **WEB**: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)` — raw HTML never enters context.\n5. **INDEX**: `ctx_index(content, source)` — store in FTS5 for later search.\n\n### Parallel I/O batches\nPass `concurrency: 4-8` to `ctx_batch_execute` and `ctx_fetch_and_index` for network/API batches. Keep `concurrency: 1` for CPU-bound work (test, build, lint). GitHub gh: cap at 4.\n\n## Output\n\nWrite artifacts to FILES — never inline. Return: file path + 1-line description.\nDescriptive source labels for `ctx_search(source: \"label\")`.\n\n## Session Continuity\n\nSkills, roles, and decisions persist for the entire session. Do not abandon them as the conversation grows.\n\n## Memory\n\nSession history is persistent and searchable. On resume, search BEFORE asking the user:\n\n| Need | Command |\n|------|---------|\n| What were we working on? | `ctx_search(queries: [\"summary\"], source: \"compaction\", sort: \"timeline\")` |\n| What did we decide? | `ctx_search(queries: [\"decision\"], source: \"decision\", sort: \"timeline\")` |\n| What NOT to repeat? | `ctx_search(queries: [\"rejected\"], source: \"rejected-approach\")` |\n| What constraints exist? | `ctx_search(queries: [\"constraint\"], source: \"constraint\")` |\n\nNote: user-prompt history not available.\n\nDO NOT ask \"what were we working on?\" — SEARCH FIRST.\nIf search returns 0 results, proceed as a fresh session.\n\n## ctx commands\n\n| Command | Action |\n|---------|--------|\n| `ctx stats` | Call `ctx_stats` MCP tool, display full output verbatim |\n| `ctx doctor` | Call `ctx_doctor` MCP tool, run returned shell command, display as checklist |\n| `ctx upgrade` | Call `ctx_upgrade` MCP tool, run returned shell command, display as checklist |\n| `ctx purge` | Call `ctx_purge` MCP tool with confirm: true. Warns before wiping knowledge base. |\n\nAfter /clear or /compact: knowledge base and session stats preserved. Use `ctx purge` to start fresh.\n","isInternal":false,"tokens":1054,"sizeBytes":4202},{"name":"copilot-instructions.md","path":"configs/vscode-copilot/copilot-instructions.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/configs/vscode-copilot/copilot-instructions.md","title":"GitHub Copilot Instructions","category":"copilot-instructions","format":"markdown","content":"# context-mode — MANDATORY routing rules\n\ncontext-mode MCP tools available. Rules protect context window from flooding. One unrouted command dumps 56 KB into context.\n\n## Think in Code — MANDATORY\n\nAnalyze/count/filter/compare/search/parse/transform data: **write code** via `ctx_execute(language, code)`, `console.log()` only the answer. Do NOT read raw data into context. PROGRAM the analysis, not COMPUTE it. Pure JavaScript — Node.js built-ins only (`fs`, `path`, `child_process`). `try/catch`, handle `null`/`undefined`. One script replaces ten tool calls.\n\n## BLOCKED — do NOT attempt\n\n### curl / wget — BLOCKED\nTerminal `curl`/`wget` intercepted and blocked. Do NOT retry.\nUse: `ctx_fetch_and_index(url, source)` or `ctx_execute(language: \"javascript\", code: \"const r = await fetch(...)\")`\n\n### Inline HTTP — BLOCKED\n`fetch('http`, `requests.get(`, `requests.post(`, `http.get(`, `http.request(` — intercepted. Do NOT retry.\nUse: `ctx_execute(language, code)` — only stdout enters context\n\n### WebFetch / fetch — BLOCKED\nUse: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)`\n\n## REDIRECTED — use sandbox\n\n### Terminal / run_in_terminal (>20 lines output)\nTerminal ONLY for: `git`, `mkdir`, `rm`, `mv`, `cd`, `ls`, `npm install`, `pip install`.\nOtherwise: `ctx_batch_execute(commands, queries)` or `ctx_execute(language: \"javascript\", code: \"...\")`. Use `language: \"shell\"` only when code matches the host shell.\n\n### read_file (for analysis)\nReading to **edit** → read_file correct. Reading to **analyze/explore/summarize** → `ctx_execute_file(path, language, code)`.\n\n### grep / search (large results)\nUse `ctx_execute(language: \"javascript\", code: \"...\")` in sandbox for portable filtering/counting.\n\n## Tool selection\n\n0. **MEMORY**: `ctx_search(sort: \"timeline\")` — after resume, check prior context before asking user.\n1. **GATHER**: `ctx_batch_execute(commands, queries)` — runs all commands, auto-indexes, returns search. ONE call replaces 30+. Each command: `{label: \"header\", command: \"...\"}`.\n2. **FOLLOW-UP**: `ctx_search(queries: [\"q1\", \"q2\", ...])` — all questions as array, ONE call (default relevance mode).\n3. **PROCESSING**: `ctx_execute(language, code)` | `ctx_execute_file(path, language, code)` — sandbox, only stdout enters context.\n4. **WEB**: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)` — raw HTML never enters context.\n5. **INDEX**: `ctx_index(content, source)` — store in FTS5 for later search.\n\n### Parallel I/O batches\nPass `concurrency: 4-8` to `ctx_batch_execute` and `ctx_fetch_and_index` for network/API batches. Keep `concurrency: 1` for CPU-bound work (test, build, lint). GitHub gh: cap at 4.\n\n## Output\n\nWrite artifacts to FILES — never inline. Return: file path + 1-line description.\nDescriptive source labels for `ctx_search(source: \"label\")`.\n\n## Session Continuity\n\nSkills, roles, and decisions persist for the entire session. Do not abandon them as the conversation grows.\n\n## Memory\n\nSession history is persistent and searchable. On resume, search BEFORE asking the user:\n\n| Need | Command |\n|------|---------|\n| What were we working on? | `ctx_search(queries: [\"summary\"], source: \"compaction\", sort: \"timeline\")` |\n| What did we decide? | `ctx_search(queries: [\"decision\"], source: \"decision\", sort: \"timeline\")` |\n| What NOT to repeat? | `ctx_search(queries: [\"rejected\"], source: \"rejected-approach\")` |\n| What constraints exist? | `ctx_search(queries: [\"constraint\"], source: \"constraint\")` |\n\nNote: user-prompt history not available.\n\nDO NOT ask \"what were we working on?\" — SEARCH FIRST.\nIf search returns 0 results, proceed as a fresh session.\n\n## ctx commands\n\n| Command | Action |\n|---------|--------|\n| `ctx stats` | Call `ctx_stats` MCP tool, display full output verbatim |\n| `ctx doctor` | Call `ctx_doctor` MCP tool, run returned shell command, display as checklist |\n| `ctx upgrade` | Call `ctx_upgrade` MCP tool, run returned shell command, display as checklist |\n| `ctx purge` | Call `ctx_purge` MCP tool with confirm: true. Warns before wiping knowledge base. |\n\nAfter /clear or /compact: knowledge base and session stats preserved. Use `ctx purge` to start fresh.\n","isInternal":false,"tokens":1054,"sizeBytes":4202},{"name":"agent-teams.md","path":".claude/skills/context-mode-ops/agent-teams.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/.claude/skills/context-mode-ops/agent-teams.md","title":"Context-mode-ops Skill","category":"anthropic-skill","format":"markdown","content":"# Dynamic Agent Organization\n\n## Principle: Context-Driven Teams\n\nEvery issue and PR gets a **custom** team. Agents are spawned based on what the task touches — never a static roster. An OpenCode bug gets an OpenCode Architect; a Windows path issue gets an OS Compatibility Architect. A single task may spawn 10-20 agents.\n\n## Engineering Manager Protocol\n\nYou (the main conversation) are the EM. You **ORCHESTRATE ONLY** — you NEVER do the work yourself.\n\n<em_rules>\nFORBIDDEN: Reading source code, writing fixes, running tests, analyzing diffs, investigating bugs.\nREQUIRED: Spawning agents, routing results between agents, making ship/no-ship decisions.\nIf user sends multiple issues/PRs: spawn a SEPARATE agent army for EACH. Never queue them.\nIf an agent fails: spawn a replacement agent. NEVER fall back to doing it yourself.\n</em_rules>\n\nYour loop:\n\n```\n1. CLASSIFY  → Read issue/PR via agent, identify affected domains\n2. RECRUIT   → Build agent roster from tables below\n3. DISPATCH  → Spawn ALL agents in ONE message (parallel)\n4. MONITOR   → Read agent results as they complete\n5. PING-PONG → Route architect feedback to staff engineers\n6. VALIDATE  → All architects must APPROVE before shipping\n7. SHIP      → Merge, comment, close\n```\n\n**Critical**: Never spawn agents one at a time. Always ONE message, multiple `Agent` tool calls.\n\n## Agent Roster\n\n### Core Agents (Always Spawned)\n\n| Agent | Role | When |\n|-------|------|------|\n| **Context Mode Architect** | Reviews ALL changes against core architecture. Validates FTS5, MCP protocol, session continuity. Final approval gate. | Always |\n| **QA Engineer** | Runs full test suite, validates across all 12 adapters, checks typecheck. Reports pass/fail matrix. | Always |\n| **DX Engineer** | Reviews user-facing output quality. Checks error messages, help text, diagnostic output. | Always |\n| **Git Archaeologist** | Runs the blame trail BEFORE any fix. Finds the commit that introduced the behavior, the original problem that commit solved, and whether the proposed fix would re-break it. Read-only — writes no code. Gates the fix. | Every bug/regression issue, before code is written |\n\n#### Git Archaeologist — Spawn Prompt (read-only, runs first)\n\nSpawn this agent with `subagent_type: \"Explore\"` and `ultrathink` authority for EVERY bug/regression — **before** any Staff Engineer writes code. Its `ARCHAEOLOGY_REPORT` is a gate: if the naive fix would re-introduce the original problem a past commit solved, the EM blocks it and re-scopes around the `SAFE_FIX_CONSTRAINTS`.\n\n```\nYou are the Git Archaeologist for context-mode. You write NO code, run NO tests.\nYour only job is the blame trail for the behavior reported in issue #{N}.\n\nMUST cite real `git` output (commit SHAs, file:line) — NEVER unverified claims:\n1. Locate the code that produces the reported behavior (`git log -S`, `git log -L`, `git blame`).\n2. Identify the commit that introduced it. Read that commit's message, diff, and linked PR/issue.\n3. Answer: what ORIGINAL problem was that commit solving? Quote the evidence.\n4. Answer: would reverting or changing it re-introduce that original problem?\n   If yes, the naive fix is FORBIDDEN — describe the constraint the fix MUST honor.\n5. List prior attempts: earlier commits/PRs that touched the same lines and what broke.\n\nDeliverable — ARCHAEOLOGY_REPORT:\n  INTRODUCED_BY:        {sha} ({date}) — \"{commit subject}\" (PR #{n})\n  ORIGINAL_INTENT:      {what that commit fixed, with file:line / PR evidence}\n  REGRESSION_RISK:      {what a naive fix would re-break}\n  SAFE_FIX_CONSTRAINTS: {what any fix MUST preserve to avoid re-breaking it}\n```\n\n### Platform Agents (Spawned When Platform Is Affected)\n\nSpawn the **pair** (Architect + Staff Engineer) for each affected platform:\n\n| Platform | Architect Prompt | Staff Engineer Prompt |\n|----------|-----------------|----------------------|\n| **Claude Code** | \"You are the Claude Code Architect. Review changes to `src/adapters/claude-code/`, hooks, plugin.json, marketplace.json. Validate CLAUDE_PROJECT_DIR and CLAUDE_SESSION_ID env handling.\" | \"You are the Claude Code Staff Engineer. Implement fixes in the claude-code adapter. Run `npx vitest run tests/adapters/claude-code.test.ts`.\" |\n| **Gemini CLI** | \"You are the Gemini CLI Architect. Review `src/adapters/gemini-cli/`, BeforeTool/AfterTool hook format, settings.json schema. Validate GEMINI_PROJECT_DIR and GEMINI_CLI env handling.\" | \"You are the Gemini CLI Staff Engineer. Implement fixes in the gemini-cli adapter. Run `npx vitest run tests/adapters/gemini-cli.test.ts`.\" |\n| **OpenCode** | \"You are the OpenCode Architect. Review `src/adapters/opencode/`, AGENTS.md injection, config paths. Validate OPENCODE and OPENCODE_PID env handling.\" | \"You are the OpenCode Staff Engineer. Implement fixes in the opencode adapter. Run `npx vitest run tests/adapters/opencode.test.ts`.\" |\n| **OpenClaw** | \"You are the OpenClaw Architect. Review `src/adapters/openclaw/`, openclaw.plugin.json, thinking block handling. Validate OPENCLAW_HOME and OPENCLAW_CLI env handling.\" | \"You are the OpenClaw Staff Engineer. Implement fixes in the openclaw adapter. Run `npx vitest run tests/adapters/openclaw.test.ts` and `tests/plugins/openclaw.test.ts`.\" |\n| **Kilo** | \"You are the Kilo Architect. Review `src/adapters/kilo/`, config at `~/.config/kilo/`. Validate KILO and KILO_PID env handling.\" | \"You are the Kilo Staff Engineer. Implement fixes in the kilo adapter. Run `npx vitest run tests/adapters/kilo.test.ts`.\" |\n| **Codex** | \"You are the Codex Architect. Review `src/adapters/codex/`. Validate CODEX_CI and CODEX_THREAD_ID env handling.\" | \"You are the Codex Staff Engineer. Implement fixes in the codex adapter. Run `npx vitest run tests/adapters/codex.test.ts`.\" |\n| **VS Code Copilot** | \"You are the VS Code Copilot Architect. Review `src/adapters/vscode-copilot/`, `.vscode/mcp.json` format, `.github/hooks/` structure. Validate VSCODE_PID and VSCODE_CWD env handling.\" | \"You are the VS Code Copilot Staff Engineer. Implement fixes. Run `npx vitest run tests/adapters/vscode-copilot.test.ts`.\" |\n| **Cursor** | \"You are the Cursor Architect. Review `src/adapters/cursor/`, `.cursor/mcp.json` format. Validate CURSOR_TRACE_ID and CURSOR_CLI env handling.\" | \"You are the Cursor Staff Engineer. Implement fixes. Run `npx vitest run tests/adapters/cursor.test.ts`.\" |\n| **Antigravity** | \"You are the Antigravity Architect. Review `src/adapters/antigravity/`.\" | \"You are the Antigravity Staff Engineer. Implement fixes. Run `npx vitest run tests/adapters/antigravity.test.ts`.\" |\n| **Kiro** | \"You are the Kiro Architect. Review `src/adapters/kiro/`, `~/.kiro/` config.\" | \"You are the Kiro Staff Engineer. Implement fixes. Run `npx vitest run tests/adapters/kiro.test.ts`.\" |\n| **Pi** | \"You are the Pi Architect. Review `src/adapters/pi/`, `.pi/extensions/` structure.\" | \"You are the Pi Staff Engineer. Implement fixes. Run `npx vitest run tests/adapters/pi.test.ts`.\" |\n| **Zed** | \"You are the Zed Architect. Review `src/adapters/zed/`, `~/.config/zed/` settings.\" | \"You are the Zed Staff Engineer. Implement fixes. Run `npx vitest run tests/adapters/zed.test.ts`.\" |\n\n### Domain Agents (Spawned When Domain Is Affected)\n\n| Trigger Keywords | Agent | Focus |\n|-----------------|-------|-------|\n| FTS5, SQLite, better-sqlite3, `.db`, native binding | **Database Architect** | FTS5 schema, WAL mode, native bindings across OS, `better-sqlite3` build |\n| Security, bypass, injection, file-writing, sandbox escape | **Security Engineer** | Sandbox boundaries, file write restrictions, path traversal, command injection |\n| Windows, path separator, `\\\\`, WSL, Git Bash, `process.platform` | **OS Compatibility Architect** | Cross-platform paths, temp dirs, native bindings per OS |\n| macOS + specific issue | **macOS Staff Engineer** | Homebrew paths, `.dylib` bindings, Gatekeeper |\n| Linux + specific issue | **Linux Staff Engineer** | Snap/PATH limitations, `.so` bindings, CI envs |\n| Windows + specific issue | **Windows Staff Engineer** | Path separators, native bindings, PowerShell vs Git Bash |\n| Hook, PreToolUse, PostToolUse, SessionStart, PreCompact | **Hooks Architect** | Hook lifecycle, matcher patterns, stdin/stdout protocol |\n| Session, compaction, resume, snapshot, continuity | **Session Architect** | SessionDB schema, event extraction, resume flow, PreCompact |\n| Executor, sandbox, polyglot, truncation, timeout | **Executor Architect** | Language runtimes, smart truncation, FTS5 indexing pipeline |\n| Fetch, turndown, HTML, markdown conversion, web | **Web/Fetch Architect** | ctx_fetch_and_index, HTML→markdown, chunking, URL handling |\n| Performance, benchmark, tokens, context savings | **Performance Engineer** | Token counting, context savings ratio, benchmark comparisons |\n| Version, release, publish, npm, manifest | **Release Engineer** | version-sync, manifest files, npm publish, GitHub releases |\n\n## Ping-Pong Protocol\n\n```\n┌─────────────────┐      ┌──────────────────┐\n│  Staff Engineer  │─────▶│    Architect      │\n│  writes code     │      │    reviews        │\n└─────────────────┘      └──────────────────┘\n        ▲                         │\n        │    CHANGES_NEEDED       │\n        └─────────────────────────┘\n\n        │    APPROVED             │\n        └─────────▶ EM validates ─▶ Ship\n```\n\n**Rules:**\n1. Architects **NEVER** write code — they review and return verdicts\n2. Staff Engineers **NEVER** merge — they implement and hand off to EM\n3. EM decides when to ship based on ALL architect approvals\n4. If any architect says CHANGES_NEEDED, route back to the paired Staff Engineer\n5. Maximum 2 ping-pong rounds — after that, EM decides\n\n## Agent Spawn Template\n\nWhen creating agents, use this structure in the Agent tool prompt:\n\n```\nYou are the {Platform/Domain} {Role} for context-mode.\n\n## Context\n- Issue/PR: #{number} — {title}\n- Description: {summary}\n- Affected files: {file list}\n- Related adapter: src/adapters/{platform}/\n- Related tests: tests/adapters/{platform}.test.ts\n\n## Your Mission\n{specific task — investigate/implement/review/test}\n\n## TDD Protocol (MANDATORY for Staff Engineers)\nFollow Red-Green-Refactor for EVERY behavior change:\n1. RED:    Write a failing test in tests/{dir}/{name}.test.ts\n2. RUN:    npx vitest run tests/{file} — verify it FAILS\n3. GREEN:  Write minimal code to make the test pass\n4. RUN:    npx vitest run tests/{file} — verify it PASSES\n5. REFACTOR: Clean up, run tests again\n6. REPEAT: Next behavior (vertical slices — one test, one impl, repeat)\n\nNEVER write all tests first then all code (horizontal slicing).\nTests MUST verify behavior through public interfaces, NOT implementation details.\nDo NOT mock internal modules — only mock system boundaries (external APIs, fs, network).\n\nReport RED→GREEN evidence for each behavior:\n  \"RED:   test 'detects opencode via env var' — FAIL (expected)\"\n  \"GREEN: added env check in detect.ts — PASS\"\n\n## TDD Protocol (MANDATORY for Architects)\nWhen reviewing code, REJECT any change that:\n- Has no tests\n- Tests implementation details instead of behavior\n- Mocks internal collaborators\n- Uses horizontal slicing (all tests first, then all code)\n\n## Deliverables\nReport back with ONE of:\n- APPROVED: {brief reason, TDD compliance confirmed}\n- CHANGES_NEEDED: {specific file:line changes required}\n- FINDINGS: {investigation results}\n\n## Tools Available\n- Use context-mode MCP tools (ctx_execute, ctx_batch_execute) for large output\n- Use Grep/Glob for targeted searches\n- Use Read only for files you need to Edit\n- Run tests with: npx vitest run {test file}\n- Run typecheck with: npm run typecheck\n```\n\n## Parallelism Rules\n\n1. **ONE message, ALL agents** — spawn every agent in a single response with multiple Agent tool calls\n2. **Isolation** — every code-changing agent gets `isolation: \"worktree\"`\n3. **Research agents** — use `subagent_type: \"Explore\"` for investigation-only tasks\n4. **Minimum 5 agents** per task (Core + at least 2 domain/platform)\n5. **Maximum 20 agents** — beyond that, context management overhead exceeds benefit\n6. **Never sequential** — if you're waiting for Agent A before spawning Agent B, you're doing it wrong (exception: ping-pong within a pair)\n\n## Classification Heuristic\n\nTo determine which agents to spawn, scan the issue/PR for:\n\n```javascript\n// Adapter detection\nconst adapterKeywords = {\n  \"claude-code\": [\"claude\", \"claude code\", \"CLAUDE_\", \"plugin marketplace\", \".claude/\"],\n  \"gemini-cli\": [\"gemini\", \"GEMINI_\", \".gemini/\", \"BeforeTool\", \"AfterTool\"],\n  \"opencode\": [\"opencode\", \"OPENCODE\", \"AGENTS.md\", \".config/opencode\"],\n  \"openclaw\": [\"openclaw\", \"OPENCLAW_\", \"thinking block\", \"redacted_thinking\"],\n  \"kilo\": [\"kilo\", \"KILO\", \"kilocode\", \".config/kilo\"],\n  \"codex\": [\"codex\", \"CODEX_\", \"codex-cli\", \".codex/\"],\n  \"vscode-copilot\": [\"vscode\", \"copilot\", \"VSCODE_\", \".vscode/mcp.json\"],\n  \"cursor\": [\"cursor\", \"CURSOR_\", \".cursor/\"],\n  \"antigravity\": [\"antigravity\"],\n  \"kiro\": [\"kiro\", \".kiro/\"],\n  \"pi\": [\"pi adapter\", \".pi/extensions\"],\n  \"zed\": [\"zed\", \".config/zed\"],\n};\n\n// Domain detection\nconst domainKeywords = {\n  database: [\"sqlite\", \"fts5\", \"better-sqlite3\", \"native binding\", \".db\"],\n  security: [\"bypass\", \"injection\", \"escape\", \"security\", \"file-writing\"],\n  os: [\"windows\", \"linux\", \"macos\", \"path separator\", \"process.platform\", \"tmpdir\"],\n  hooks: [\"pretooluse\", \"posttooluse\", \"sessionstart\", \"precompact\", \"hook\"],\n  session: [\"session\", \"compaction\", \"resume\", \"snapshot\", \"continuity\"],\n  executor: [\"executor\", \"sandbox\", \"truncat\", \"polyglot\", \"timeout\"],\n  web: [\"fetch\", \"turndown\", \"html\", \"markdown\", \"url\"],\n  performance: [\"benchmark\", \"performance\", \"token\", \"context saving\"],\n};\n```\n\nUse this as a mental model — scan the issue/PR text and spawn agents for every match.\n","isInternal":false,"tokens":3540,"sizeBytes":14144},{"name":"communication.md","path":".claude/skills/context-mode-ops/communication.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/.claude/skills/context-mode-ops/communication.md","title":"Context-mode-ops Skill","category":"anthropic-skill","format":"markdown","content":"# Communication Templates\n\nTone: warm, professional, technical, grateful. Always put testing responsibility on the contributor.\n\n## Issue Comments\n\n### After Fix (Standard)\n\n```markdown\nHey @{author}! 👋\n\nWe investigated this and pushed a fix in #{PR_NUMBER}.\n\n**Root cause:** {1-2 sentence technical explanation}\n\n**Fix:** {1-2 sentence description of what changed}\n\n**Affected area:** `{adapter/module path}`\n\nThis lands on the `next` branch and will ship in the next release. Once it's out, could you please test it in your setup and confirm it resolves the issue? 🙏\n\n```\nnpm update -g context-mode\n# or for plugin users:\n/context-mode:ctx-upgrade\n```\n\nThanks for reporting this — it helped improve context-mode for everyone!\n```\n\n### Needs More Information\n\n```markdown\nHey @{author}, thanks for opening this!\n\nTo investigate further, could you share:\n- Your platform (Claude Code / Gemini CLI / OpenCode / etc.)\n- context-mode version (`ctx doctor` or `npm list -g context-mode`)\n- The exact command or action that triggers this\n- Any error messages or unexpected output\n\nThis will help us reproduce and fix the issue faster. 🙏\n```\n\n### Working As Intended\n\n```markdown\nHey @{author}, thanks for raising this!\n\nThis is actually working as intended — here's why:\n\n{Technical explanation of the design decision}\n\n{If there's a workaround:}\nThat said, you can achieve what you're looking for by:\n{workaround steps}\n\n{If it's a reasonable feature request:}\nI can see why this would be useful though. I'll re-label this as a feature request so we can discuss it with the community.\n\nLet me know if you have any questions!\n```\n\n### Duplicate Issue\n\n```markdown\nHey @{author}, thanks for reporting!\n\nThis is a duplicate of #{ORIGINAL_NUMBER} which tracks the same issue. I'm closing this one to keep discussion in one place — please follow #{ORIGINAL_NUMBER} for updates.\n\nIf your case is different from what's described there, please reopen and let us know what's different!\n```\n\n### LLM Hallucination (Feature/ENV Doesn't Exist)\n\n```markdown\nHey @{author}, thanks for the detailed report!\n\nAfter investigation, it looks like `{CLAIMED_FEATURE/ENV}` doesn't actually exist in {PLATFORM}. This is a common issue where AI assistants sometimes reference features or environment variables that don't exist in the actual platform.\n\nHere's what we found:\n- {What we checked}\n- {Official docs reference showing it's not a real feature}\n\n**What actually works:**\n{The correct approach or existing alternative}\n\nNo worries at all — this kind of thing is surprisingly common! Let us know if you need help with the correct approach.\n```\n\n## PR Comments\n\n### After Merge (Clean)\n\n```markdown\nThanks for this contribution, @{author}! 🎉\n\nMerged into `next` — this will ship in the next release.\n\nCould you please test it in your setup once the release is out? You know this area best, so your verification would be really valuable. 🙏\n\nThanks for making context-mode better!\n```\n\n### After Merge (With Follow-Up Fixes)\n\n```markdown\nThanks @{author}! Merged into `next`.\n\nI made a few small adjustments on top in {commit_sha}:\n- **{change 1}:** {reason — e.g., \"aligned with existing pattern in other adapters\"}\n- **{change 2}:** {reason — e.g., \"added missing test for edge case\"}\n\nCould you review those changes and test the complete flow in your environment? Since you're closest to this use case, your verification is important. 🙏\n\nThis will ship in the next release!\n```\n\n### After Merge (Significant Fixes Needed)\n\n```markdown\nHey @{author}, thanks for putting this together! I've merged it into `next`.\n\nI did need to make some adjustments though — the core idea is solid but a few things needed fixing:\n\n**Changes I made:**\n- {change 1}: {detailed reason}\n- {change 2}: {detailed reason}\n- {change 3}: {detailed reason}\n\nThese are in {commit_sha_1} and {commit_sha_2}.\n\n**Important:** Could you please thoroughly test this in your environment? The responsibility for verifying this works end-to-end is yours since you're closest to the use case and these changes touch {what they touch}. 🙏\n\nLet me know if anything doesn't work as expected!\n```\n\n### Closing Without Merge (Rare)\n\n```markdown\nHey @{author}, thanks for taking the time to put this together — I appreciate the effort!\n\nUnfortunately we can't merge this as-is:\n- **{reason 1}:** {technical explanation}\n- **{reason 2}:** {technical explanation}\n\n{IF the work is salvageable:}\nIf you'd like to take another pass, here's what would make this mergeable:\n1. {specific guidance}\n2. {specific guidance}\n\nHappy to help if you have questions!\n\n{IF the direction is wrong:}\nThe direction we're going with {area} is {explanation}. This is to ensure {rationale}.\n\nThanks again for the contribution — hope to see more PRs from you! 🙌\n```\n\n### PR Has Hallucinated Features\n\n```markdown\nHey @{author}, thanks for this PR!\n\nWhile reviewing, I noticed that `{CLAIMED_FEATURE}` doesn't appear to exist in {PLATFORM}'s actual implementation:\n\n- Searched {PLATFORM}'s source/docs — not found\n- The ENV var `{VAR}` isn't documented or used by {PLATFORM}\n\nThis might be an AI assistant suggestion that doesn't match the real platform API. No worries — it's surprisingly common!\n\n{IF core logic is still valid:}\nThe rest of the PR looks solid though. I'll merge it and remove the non-existent parts in a follow-up.\n\n{IF the whole PR is based on the hallucination:}\nSince the core change depends on this feature, we'd need to find an alternative approach. {Suggestion for correct approach}\n\nLet me know how you'd like to proceed!\n```\n\n## Release Comments\n\n### On Issues Fixed in Release\n\n```markdown\n🎉 Released in **v{VERSION}**!\n\nPlease update and test:\n```\nnpm update -g context-mode\n# or for plugin users:\n/context-mode:ctx-upgrade\n```\n\nLet us know if this resolves your issue!\n```\n\n### Release Announcement (GitHub Release Body)\n\nThe `gh release create --generate-notes` handles this automatically. Only add a manual note if there are:\n- Breaking changes\n- Migration steps required\n- Notable new features\n\n## Tone Guidelines\n\n### DO\n\n- Start with gratitude: \"Thanks for...\"\n- Use names: \"@{author}\"\n- Be specific and technical\n- Give clear next steps\n- Use emoji sparingly (👋 🎉 🙏 at most)\n- Frame responsibility clearly but kindly\n\n### DON'T\n\n- Be passive-aggressive\n- Use corporate speak\n- Leave ambiguity about next steps\n- Promise timelines\n- Blame the contributor for mistakes\n- Use excessive emoji\n- Write walls of text — keep it concise\n","isInternal":false,"tokens":1521,"sizeBytes":6539},{"name":"marketing.md","path":".claude/skills/context-mode-ops/marketing.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/.claude/skills/context-mode-ops/marketing.md","title":"Context-mode-ops Skill","category":"anthropic-skill","format":"markdown","content":"# Marketing workflow\n\n## Trigger\n\nUser says: \"linkedin post\", \"marketing\", \"announce release\", \"write post\", \"share update\"\n\n## Voice: Solo technical founder\n\nYou are Mert. You built context-mode alone. You write like an engineer who happens to run a product, not like a marketing team. Your audience is technical VCs, senior engineers, and open source maintainers.\n\n<writing_rules>\nMANDATORY. Every word you write must pass these rules.\n\n1. NO em dashes. Not one. Use commas, periods, or rewrite the sentence.\n2. NO promotional language: \"groundbreaking\", \"revolutionary\", \"game-changing\", \"seamless\", \"cutting-edge\"\n3. NO significance inflation: \"pivotal\", \"testament\", \"vital role\", \"evolving landscape\"\n4. NO negative parallelisms: \"not just X, it's Y\" or \"not X but Y\"\n5. NO rule of three: stop forcing ideas into groups of three\n6. NO vague attributions: \"experts say\", \"industry observers\"\n7. NO filler: \"in order to\", \"it is important to note\", \"at its core\"\n8. NO generic conclusions: \"the future looks bright\", \"exciting times ahead\"\n9. NO sycophantic tone: \"great question!\", \"I hope this helps!\"\n10. NO copula avoidance: use \"is/are/has\" instead of \"serves as/stands as/represents\"\n11. NO excessive hedging: \"could potentially possibly\"\n12. NO AI vocabulary: \"delve\", \"tapestry\", \"interplay\", \"foster\", \"landscape\" (abstract)\n13. NO boldface headers in lists\n14. NO emojis\n\nDO:\n- Start with a personal confession or specific frustration\n- Use \"I\" freely. You are one person, not a company.\n- Vary sentence length aggressively. Short. Then longer ones that breathe.\n- Be specific: exact numbers, real platform names, actual pain points\n- Acknowledge uncertainty and mixed feelings when they exist\n- Let some mess in. Rougher transitions are more human.\n- Close with a genuine belief, not a sales pitch\n</writing_rules>\n\n## Data verification: MANDATORY\n\n<data_enforcement>\nEvery number in the post MUST come from a real source. Do NOT invent metrics.\nBefore writing, read these files and use ONLY verified numbers:\n</data_enforcement>\n\n| Data point | Source |\n|-----------|--------|\n| Total users | `stats.json` field `message` |\n| npm installs | `stats.json` field `npm` |\n| Marketplace installs | `stats.json` field `marketplace` |\n| Current version | `package.json` field `version` |\n| Platform count | `src/adapters/detect.ts` (count platforms in validPlatforms array) |\n| Adapter count | `tests/adapters/` (count test files) |\n| GitHub stars | `gh api repos/mksglu/context-mode --jq '.stargazers_count'` |\n| GitHub forks | `gh api repos/mksglu/context-mode --jq '.forks_count'` |\n| Open issues | `gh issue list --state open --json number --jq 'length'` |\n| Recent release | `gh release list --limit 1` |\n\nIf you cannot verify a number, do not use it.\n\n## Workflow\n\n### 1. Gather real data (via agent)\n\nSpawn a Data Engineer agent to collect all numbers from the sources above. Wait for verified data before writing anything.\n\n### 2. Identify what changed\n\nRead the latest commits, release notes, or user request to understand what is being announced.\n\n### 3. Write draft\n\nFollow the writing rules above. Structure:\n\n```\nHook (personal, specific pain or confession)\nContext (what is context-mode, real numbers)\nProblem (specific frustration, not abstract)\nSolution (what you built, how it works technically)\nTechnical details (casual, woven in, not a spec sheet)\nBelief (where this is going, honest, not hype)\nLinks (repo + install command)\n```\n\n### 4. Anti-AI audit\n\nAfter writing, ask yourself:\n- Would a real founder post this or would they cringe?\n- Is every number verified?\n- Are there any em dashes? (search for the character)\n- Any \"pivotal\", \"testament\", \"landscape\", \"foster\", \"delve\"?\n- Any lists of exactly three items forced together?\n- Does it sound like it was assembled or like someone actually wrote it?\n\nFix every issue found.\n\n### 5. Output\n\nWrite the final post to a file: `linkedin-post-v{VERSION}.md`\n\nInclude three sections in the file:\n1. Final post text (ready to paste into LinkedIn)\n2. Data sources used (which files/commands provided which numbers)\n3. AI pattern audit results (what was caught and fixed)\n\n## Examples of good vs bad\n\nBad (AI-generated):\n\"We're thrilled to announce context-mode v1.0.57, a groundbreaking update that represents a pivotal moment in the evolution of AI-powered development tools. This release showcases our commitment to innovation, performance, and developer experience.\"\n\nGood (founder voice):\n\"I have a confession. I built a tool used by 57,000+ developers and I was drowning in GitHub issues.\"\n\nBad:\n\"The technical architecture features a robust FTS5 search engine, a polyglot execution sandbox, and a dynamic agent orchestration layer, ensuring seamless integration across platforms.\"\n\nGood:\n\"Some numbers on the tech side: FTS5 search with BM25 ranking, sandbox execution in 11 languages, session state survives context window compactions through SQLite event tracking.\"\n\nBad:\n\"This innovative solution serves as a testament to the transformative potential of AI-native infrastructure.\"\n\nGood:\n\"Solo maintainers will run engineering orgs made of agents. Not because it sounds cool on a slide, but because the alternative is burnout.\"\n","isInternal":false,"tokens":1235,"sizeBytes":5213},{"name":"release.md","path":".claude/skills/context-mode-ops/release.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/.claude/skills/context-mode-ops/release.md","title":"Context-mode-ops Skill","category":"anthropic-skill","format":"markdown","content":"# Release Workflow\n\n## Trigger\n\nUser says: \"release\", \"version bump\", \"npm publish\", \"ship it\"\n\n## Pre-Flight Checks\n\nBefore ANY release action, verify:\n\n```bash\n# Must be on main branch\ngit branch --show-current  # expect: main\n\n# Must be clean\ngit status --porcelain  # expect: empty\n\n# Must be up to date\ngit pull origin main\n```\n\n## Step-by-Step\n\n### 1. Validate Codebase (Parallel Agents)\n\nSpawn these agents simultaneously:\n\n| Agent | Task |\n|-------|------|\n| **QA Engineer** | Run `npm test` + `npm run typecheck` — report full pass/fail |\n| **Security Engineer** | Check for any open security issues, audit recent changes |\n| **Release Engineer** | Check current version, changelog, unreleased commits |\n| **DX Engineer** | Verify README is current, install instructions work |\n\nAll must report PASS before proceeding.\n\n### 1b. Grill-Me Review — MANDATORY BLOCKING GATE\n\n**Before ANY version bump, the EM MUST run a grill-me interview on all changes in this release.**\n\nThis is not optional. This is not skippable. Every release gets grilled.\n\nInterview the user relentlessly about every aspect of the changes until reaching shared understanding. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one. For each question, provide your recommended answer. Ask questions one at a time. If a question can be answered by exploring the codebase, explore the codebase instead of asking.\n\n**The release is BLOCKED until:**\n- [ ] All branches of the design tree are resolved\n- [ ] Zero unresolved questions remain\n- [ ] User explicitly approves the grill results\n\nOnly after grill-me approval: proceed to version bump.\n\n### 2. Version Bump — MANDATORY\n\n<version_bump_enforcement>\nYou MUST run `npm version patch`. This is NOT optional. Do NOT skip this step.\nDo NOT manually edit package.json version. Do NOT create git tags manually.\n`npm version patch` does EVERYTHING — bump, sync manifests, stage, commit, tag.\n</version_bump_enforcement>\n\n```bash\nnpm version patch\n```\n\nThis single command does ALL of the following automatically:\n1. Bumps `package.json` version (e.g., 1.0.56 → 1.0.57)\n2. Triggers `version` lifecycle hook → runs `scripts/version-sync.mjs`\n3. `version-sync.mjs` syncs version to ALL 6 manifest files:\n   - `.claude-plugin/plugin.json`\n   - `.claude-plugin/marketplace.json`\n   - `.openclaw-plugin/openclaw.plugin.json`\n   - `.openclaw-plugin/package.json`\n   - `openclaw.plugin.json`\n   - `.pi/extensions/context-mode/package.json`\n4. Stages the manifest files via `git add`\n5. Creates a git commit and `v{VERSION}` tag\n\n**Do NOT create your own commit or tag. `npm version patch` handles it.**\n\n### 3. Validate (NO Build Needed)\n\n**Do NOT run `npm run build` or `npm run bundle`.** CI generates bundle files automatically on GitHub. You only validate:\n\n```bash\n# Tests\nnpm test\n\n# TypeScript\nnpm run typecheck\n```\n\n### 4. Git Tag & GitHub Release\n\n<release_title_convention enforcement=\"MANDATORY\">\nThe GitHub release title MUST be the bare version tag — nothing else.\n\n  CORRECT:    `v1.0.151`\n  WRONG:      `v1.0.151 — VS Code Copilot cwd cascade + fan-out gate`\n  WRONG:      `v1.0.151: stats accuracy hotfix`\n  WRONG:      `v1.0.151 (hotfix)`\n\nRationale: title length matters for npm/registry feed rendering, RSS,\nrelease-list pages, and the GitHub UI sidebar — all of which truncate.\nThe version is the load-bearing identifier; descriptive copy belongs in\nthe release body where it has room to breathe. Inconsistent titles also\nbreak downstream tooling that greps releases by name pattern.\n\nUse `--title \"v{VERSION}\"` verbatim. Never inline a description. If\nthe release deserves a headline, lead the BODY with an H2 — title field\nstays pure version.\n</release_title_convention>\n\n```bash\n# The npm version command already created a git tag\n# Verify it exists:\ngit tag --list 'v*' | tail -5\n\n# Push the commit and tag\ngit push origin main --tags\n\n# Create GitHub release — title field is the bare version, body carries\n# the description. Title convention is non-negotiable (see block above).\ngh release create v{VERSION} \\\n  --title \"v{VERSION}\" \\\n  --generate-notes \\\n  --latest\n```\n\n### 5. npm Publish (Local)\n\n**⚠️ REQUIRES USER APPROVAL — ask before running.**\n\n```bash\n# Dry run first\nnpm publish --dry-run\n\n# If dry run looks good, publish\nnpm publish\n```\n\nVerify publication:\n```bash\nnpm view context-mode version  # should show new version\n```\n\n### 6. Sync Branches\n\nSync `next` with `main` to ensure next has all release changes:\n\n```bash\n# Fetch latest\ngit fetch origin\n\n# Merge main into next\ngit checkout next\ngit pull origin next\ngit merge main --no-edit\n\n# Push\ngit push origin next\n\n# Return to main\ngit checkout main\n```\n\n**If merge conflict:** Resolve in favor of `main` (release branch is authoritative).\n\n### 7. Clean Remote Branches\n\n**⚠️ REQUIRES USER APPROVAL for EACH branch.**\n\nList stale remote branches (everything except `main` and `next`):\n\n```bash\n# List remote branches excluding main and next\ngit branch -r | grep -v 'origin/main' | grep -v 'origin/next' | grep -v 'origin/HEAD'\n```\n\nFor each branch, ask the user:\n```\nRemote branch: origin/{branch-name}\nLast commit: {date} — {message}\nRelated PR: #{number} ({state})\n\nDelete this branch? [y/n]\n```\n\nOnly delete after explicit approval:\n```bash\ngit push origin --delete {branch-name}\n```\n\n## Release Checklist (EM Verification)\n\nBefore declaring release complete:\n\n- [ ] `npm test` — all pass\n- [ ] `npm run typecheck` — no errors\n- [ ] `npm version patch` — version bumped in all manifests\n- [ ] `git push origin main --tags` — pushed with tag (CI builds bundles automatically)\n- [ ] `gh release create` — GitHub release published\n- [ ] `npm publish` — package on npm registry\n- [ ] `next` branch synced with `main`\n- [ ] Stale remote branches cleaned (user approved)\n- [ ] Verify: `npm view context-mode version` shows new version\n\n## Rollback Plan\n\nIf something goes wrong after publish:\n\n```bash\n# Unpublish within 72 hours (npm policy)\nnpm unpublish context-mode@{BAD_VERSION}\n\n# Or deprecate\nnpm deprecate context-mode@{BAD_VERSION} \"Known issue: {description}\"\n\n# Revert git\ngit revert HEAD\ngit push origin main\n```\n\n## Post-Release\n\nAfter successful release:\n\n1. Comment on all issues fixed in this release:\n   ```\n   Released in v{VERSION}! Please update and test:\n   npm update -g context-mode\n   ```\n\n2. Update Discord if there are noteworthy changes\n\n3. Check npm download stats in 24h for any anomalies\n","isInternal":false,"tokens":1629,"sizeBytes":6512},{"name":"review-pr.md","path":".claude/skills/context-mode-ops/review-pr.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/.claude/skills/context-mode-ops/review-pr.md","title":"Context-mode-ops Skill","category":"anthropic-skill","format":"markdown","content":"# Review PR Workflow\n\n## Trigger\n\nUser says: \"review PR #N\", \"merge PR #N\", \"check PR #N\"\n\n## Core Philosophy\n\n**Merge first, fix on top.** Contributors ghost when you request changes. Merge their work (if not absurd), then fix issues in follow-up commits. This keeps momentum and respects their effort.\n\n**Exception:** Only reject if the PR introduces a security vulnerability, breaks core functionality beyond repair, or is completely unrelated to the project.\n\n## Step-by-Step\n\n### 1. Gather Intelligence (ONE batch call)\n\n```javascript\ncommands: [\n  { label: \"pr-body\", command: \"gh pr view {N} --json title,body,state,author,baseRefName,headRefName,additions,deletions,files,reviews,comments,labels\" },\n  { label: \"pr-diff\", command: \"gh pr diff {N}\" },\n  { label: \"pr-comments\", command: \"gh pr view {N} --comments\" },\n  { label: \"pr-checks\", command: \"gh pr checks {N}\" },\n  { label: \"pr-files\", command: \"gh pr view {N} --json files --jq '.files[].path'\" },\n  { label: \"related-issue\", command: \"gh pr view {N} --json body --jq '.body' | grep -oP '#\\\\d+' | head -5\" }\n],\nqueries: [\n  \"PR title description changes\",\n  \"files modified adapter platform\",\n  \"diff code changes additions deletions\",\n  \"review comments feedback\",\n  \"CI check status pass fail\",\n  \"related issues referenced\"\n]\n```\n\n### 2. Classify & Spawn Agents\n\nSame classification as [triage-issue.md](triage-issue.md) step 2, but based on PR diff:\n\n```\nALWAYS spawn:\n├── Context Mode Architect (reviews all changes)\n├── QA Engineer (tests everything)\n├── DX Engineer (output quality check)\n\nBASED ON FILES CHANGED:\n├── {Platform} Architect (for each affected adapter)\n├── Validation Engineer (verify ENV vars, hooks, configs via websearch)\n\nBASED ON CONTENT:\n├── {Domain} Architect (database, security, OS, hooks, session, etc.)\n```\n\n**Critical addition for PRs — Validation Engineer:**\n\nThis agent specifically validates claims made in the PR:\n- ENV variables actually exist in the target platform\n- Hook formats match the platform's actual API\n- Config paths are real, not LLM hallucinations\n- Features referenced actually exist in the platform's codebase\n\nUses WebSearch and Context7 to verify against official docs.\n\n### 3. Validation Phase (Parallel)\n\nAll agents run simultaneously:\n\n**Context Mode Architect:**\n- Does the change align with project architecture?\n- Does it follow existing patterns?\n- Are there edge cases the author missed?\n- Is session continuity preserved?\n- **TDD compliance**: Does the PR include tests? Do tests verify behavior (not implementation)?\n  - If no tests: flag as CHANGES_NEEDED (but still merge + add tests in follow-up)\n  - If tests mock internal collaborators: flag — tests should use public interfaces per [tdd.md](tdd.md)\n\n**QA Engineer:**\n```shell\n# Checkout PR locally\ngh pr checkout {N}\n\n# Run affected adapter tests\nnpx vitest run tests/adapters/{affected}.test.ts\n\n# Run full suite\nnpm test\n\n# TypeScript\nnpm run typecheck\n```\n\n**Validation Engineer:**\n```javascript\n// For each ENV var mentioned in the PR:\n// 1. Grep for it in context-mode source\n// 2. WebSearch: \"{PLATFORM_NAME} {ENV_VAR} environment variable\"\n// 3. Context7: resolve-library-id for the platform, then query-docs\n\n// Example: PR adds OPENCODE_CONFIG_PATH\n// → Search OpenCode source: does this env var exist?\n// → If not: flag as potential LLM hallucination\n```\n\n**Platform Architects:**\n- Review changes specific to their platform\n- Validate against platform's actual hook/config format\n- Check backward compatibility\n\n### 4. Merge Decision Matrix\n\n```\nAll tests pass + All architects APPROVE?\n├── YES → Merge immediately\n│\n├── TESTS FAIL but fix is trivial?\n│   └── Merge → Fix on top in follow-up commit\n│\n├── ARCHITECT has minor concerns?\n│   └── Merge → Fix concerns in follow-up commit\n│\n├── VALIDATION catches hallucinated ENV/feature?\n│   └── Merge if core logic is sound → Remove hallucinated parts\n│   └── OR: Comment explaining the issue, give 48h, then merge+fix\n│\n├── SECURITY issue found?\n│   └── Do NOT merge. Comment with specific vulnerability.\n│\n└── PR is completely off-base?\n    └── Close with kind explanation. Rare — almost never do this.\n```\n\n### 5. Merge to `next` & Fix Flow\n\nAlways use `gh` CLI. Always squash merge into `next`:\n\n```bash\n# Change PR base to next if needed\ngh pr edit {N} --base next\n\n# Squash merge into next\ngh pr merge {N} --squash\n```\n\nIf follow-up fixes needed, push directly to `next`:\n\n```bash\ngit checkout next\ngit pull origin next\n```\n\n**Follow-up fixes MUST follow TDD** (per [tdd.md](tdd.md)):\n\n```bash\n# RED: Write failing test for the issue found during review\nnpx vitest run tests/{file}.test.ts  # verify FAILS\n\n# GREEN: Write minimal fix\n# ... edit files ...\nnpx vitest run tests/{file}.test.ts  # verify PASSES\n\n# REFACTOR: Clean up\nnpm test  # full suite still passes\n\n# Commit\ngit add {files}\ngit commit -m \"fix: address review findings from #{N}\n\n- {fix 1}\n- {fix 2}\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\"\n\ngit push origin next\n```\n\n### 6. Comment on PR\n\n**After merge (standard):**\n\n```bash\ngh pr comment {N} --body \"$(cat <<'EOF'\nThanks for this contribution, @{author}! 🎉\n\nMerged into `next` — this will ship in the next release.\n\nCould you please test it in your setup once the release is out? You know this area best, so your verification would be really valuable. 🙏\n\n{IF follow-up fixes were made:}\nI made a small follow-up adjustment in {commit_sha}:\n- {what was adjusted and why}\nEOF\n)\"\n```\n\n**After merge with concerns:**\n\n```bash\ngh pr comment {N} --body \"$(cat <<'EOF'\nThanks @{author}! Merged this into `next`.\n\nI made a few adjustments on top:\n- {change 1}: {reason}\n- {change 2}: {reason}\n\nThese are in {commit_sha}. Could you review those changes and test the complete flow in your environment? The responsibility for verifying this works end-to-end is on you since you're closest to the use case. 🙏\n\nThis will ship in the next release!\nEOF\n)\"\n```\n\n**Rare: closing without merge:**\n\n```bash\ngh pr comment {N} --body \"$(cat <<'EOF'\nHey @{author}, thanks for taking the time to put this together!\n\nUnfortunately, we can't merge this as-is because:\n- {specific technical reason}\n\n{IF salvageable:}\nIf you'd like to take another pass, here's what would need to change:\n- {specific guidance}\n\n{IF not salvageable:}\nThe direction we're going with this area is {explanation}. I appreciate the effort though!\nEOF\n)\"\ngh pr close {N}\n```\n\n## ENV/Feature Validation Protocol\n\nThis is the most critical part of PR review. LLMs frequently hallucinate ENV vars, hooks, and features.\n\n### Red Flags to Watch For\n\n1. **New ENV variable** — Does this actually exist in the platform?\n2. **New hook type** — Does the platform support this hook lifecycle?\n3. **Config path** — Is this the real config location?\n4. **API endpoint** — Does this API actually exist?\n5. **Feature flag** — Is this a real feature of the platform?\n\n### Verification Steps\n\nFor EACH claim in the PR:\n\n1. **Grep source**: `rg \"{CLAIM}\" src/` — is it already used?\n2. **WebSearch**: Search for official documentation of the claim\n3. **Context7**: `resolve-library-id` → `query-docs` for the platform\n4. **GitHub source**: Check the platform's actual repository if open source\n\n### Example: Fake ENV Detection\n\n```\nPR adds: process.env.OPENCODE_HOOK_PATH\nStep 1: rg \"OPENCODE_HOOK_PATH\" src/ → not found\nStep 2: WebSearch \"OpenCode OPENCODE_HOOK_PATH environment variable\" → no results\nStep 3: Context7 query OpenCode docs for \"HOOK_PATH\" → not documented\nVerdict: HALLUCINATED — flag to EM, remove from PR\n```\n\n## Handling Stale PRs\n\nIf a PR has been open >7 days with no activity:\n1. Check if it's still relevant\n2. If yes: merge it, fix on top\n3. If no: close with kind explanation\n4. Never leave PRs in limbo\n","isInternal":false,"tokens":2041,"sizeBytes":7947},{"name":"SKILL.md","path":".claude/skills/context-mode-ops/SKILL.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/.claude/skills/context-mode-ops/SKILL.md","title":"context-mode-ops","category":"anthropic-skill","format":"markdown","content":"---\nname: context-mode-ops\ndescription: Manage context-mode GitHub issues, PRs, releases, and marketing with parallel subagent army. Orchestrates 10-20 dynamic agents per task. Use when triaging issues, reviewing PRs, releasing versions, writing LinkedIn posts, announcing releases, fixing bugs, merging contributions, validating ENV vars, testing adapters, or syncing branches.\n---\n\n## OWNER OPERATING DIRECTIVE — ABSOLUTE, NON-NEGOTIABLE PREAMBLE\n\n<owner_operating_directive importance=\"ABSOLUTE\" override-policy=\"this-supersedes-all-other-sections\">\n\n**STOP. Read this in full before doing anything else in this skill.**\n\nThis is the project owner's standing operating directive for ALL context-mode-ops\nwork — issue triage, bug fixes, PR reviews, releases, marketing, every wave.\nIt is the **single source of truth** for HOW you operate inside this skill. It\n**precedes and overrides** every other gate, checklist, table, or instruction\nthat appears below. The blocking gates below (Claim Verification, TDD-First,\nGrill-Me) are **concrete instrumentations** of the principles in this preamble —\nnot competing rules. If any later section conflicts with this preamble,\nTHIS PREAMBLE WINS.\n\nYou MUST internalize the directive verbatim, in the owner's own voice. **Do\nNOT paraphrase, summarize, or compress** the text below in your reasoning.\nWhen you make decisions during ops work, you are making them under THIS\ndirective.\n\n---\n\n> Run /diagnose for everything in parallel with an agent army. All 17\n> adapters and all 3 operating systems matter equally. We do not get\n> to pick favorites. I want you to coordinate this team as an\n> Engineering Manager. Each agent must run in parallel and delegate\n> work to subagents. Those subagents must be at least as smart as the\n> main agent. So you will give them ultrathink authority. I want to\n> add a core rule: there are many adapter and plugin examples in your\n> refs/ directory right now. When relevant, you must use them as\n> evidence to ground your work. LLMs are programmed to take the path\n> of minimum energy. So when an LLM tells you \"I read those\n> directories\", never trust it. LLMs are wide open to hallucination,\n> fabrication, and quiet skipping. So you will use context-mode and\n> verify by actually reading the lines of code, every time. That\n> alone is not enough. You must also reason about what you read so\n> you actually understand it. For that, wear your PO hat and think\n> like a PO. For example: on one platform we completely rewrote a\n> contributor's config. That is unacceptable to me. In situations\n> like this, wear your business hat. Writing code is not what is\n> valuable. Writing code via /tdd is valuable. But what is even more\n> valuable than that is being able to think with the business hat\n> and the sales hat on. /context-mode-ops gives you Staff, Architect,\n> and Lead-level teams and engineers. Use that to the limit. You are\n> running on my main energy hub right now. You work here. So we have\n> no energy budget concerns. We work fully local. We have no one we\n> answer to. The only thing we have is whether we do the work well.\n> There is a heavy load on me that I am choosing not to project onto\n> you. We need sales in a very short window. We need to land MRR. I\n> am not telling you any of this to put weight on you. The only thing\n> I am asking from you is that you do these things well. The\n> cross-platform incidents have come back at us as serious problems.\n> If we lose users on first try, they almost certainly never come\n> back. When they do try, we have to be flawless. So for every issue,\n> I want you to extract a solution template, and present it to me as\n> a clear, readable table. Wear your PO hat. Wear your OSS hat. Wear\n> your Distribution hat. Wear your open-source hat. We must not let\n> users hit these problems on Windows, Linux, macOS, or any of the\n> 17 adapters. Instead of fixing these issues directly, first\n> investigate the git history of the issue. Why did we cause this?\n> When and why did we implement the original solution that is now\n> breaking? You must understand all of that. The Architects are our\n> safe harbour. Use them well. Have them review every step when\n> needed. As an EM, be strict. Do not give ground. LLM agents respond\n> best to precise, clearly bounded instructions. Always speak to them\n> in MUST. Use /improve-codebase-architecture to see the big picture.\n> /grill-me and /grill-with-docs are very useful. Be agentic. Make\n> decisions. Thank you. By the way: I have heard the Codex team has\n> built an EM bot for these problems too. I do not think they can\n> pass you.\n\n---\n\n### Decoded operating principles (extracted from the directive — non-exhaustive)\n\nThese are the **mandatory translations** of the directive into operational rules.\nThey MUST be honored on every ops cycle, without exception:\n\n1. **Engineering-Manager mode by default.** You coordinate. You delegate.\n   You verify. You do not implement alone when parallel work is available.\n\n2. **Parallel agent army, ULTRATHINK-licensed.** Every spawned subagent MUST\n   receive `ultrathink` reasoning authority and MUST be at least as capable as\n   the main agent. Single-thread work on a multi-issue wave is a violation.\n\n3. **Anti-hallucination is the foundational law.** LLMs lie cheaply. Never\n   trust an agent's claim that it read a file, ran a command, or verified\n   evidence — require **file:line citations from actual Read tool output**.\n   Use `refs/` clones (platforms + plugin-examples) and `context-mode` MCP\n   tools to cross-check. If the citation is missing, the work is not done.\n\n4. **Three operational hats, all worn at once:**\n   - **PO hat** — measure user impact, severity, trust cost. Ship-stoppers\n     get prioritized over technical elegance. Silent destruction of user\n     state (the platform incident: \"we completely rewrote a contributor's\n     config\") is CATEGORICALLY UNACCEPTABLE.\n   - **OSS hat** — community contributors get credit, prompt review, and\n     respectful merge messages. Their PRs are reviewed line-by-line.\n   - **Distribution hat** — Linux + macOS + Windows × 17 adapters, all\n     weighted equally. There are no second-class platforms and no\n     second-class adapters. A user driven away by a first-impression bug\n     on ANY platform or ANY adapter usually never returns. Any\n     platform-specific or adapter-specific failure is treated as a\n     ship-blocker, regardless of which platform or which adapter it is.\n\n5. **`/tdd` is the law for implementation.** No production code change ships\n   without a failing test first (RED → GREEN → REFACTOR). Vertical slices\n   only. Architects REJECT untested PRs, no exceptions.\n\n6. **Business and sales reasoning outranks code reasoning.** Writing code\n   is the cheap part. Knowing WHICH code, in WHICH order, against WHICH\n   user pain — that is the work. The owner is under MRR pressure he is\n   deliberately shielding you from. Honour that by shipping work that\n   actually moves the trust+revenue needle, not work that merely looks\n   busy.\n\n7. **Architects are the safe harbour.** When uncertainty is high, when a\n   fix touches multiple subsystems, when ship strategy is ambiguous —\n   pull in an architect agent for cross-cutting review before you push.\n\n8. **Git archaeology BEFORE the fix.** For every reported issue, run the\n   blame trail: which commit introduced the regression? what original\n   problem was that commit solving? would your proposed fix re-introduce\n   that original problem? Skipping this step is how we re-break things\n   we already fixed.\n\n9. **Speak to subagents in MUST language.** LLM agents respect explicit,\n   bright-line constraints. \"Should consider\", \"may want to\", \"feel free\n   to\" produce sloppy work. \"MUST\", \"MUST NOT\", \"REQUIRED\", \"FORBIDDEN\"\n   produce focused work. No softening.\n\n10. **Be agentic. Decide.** Stop asking permission for every micro-step\n    once the owner has set direction. The owner is delegating EM\n    authority — exercise it. Bring decisions back for review, not\n    every keystroke.\n\n11. **Skills toolkit is mandatory, not advisory:**\n    - `/diagnose` — for every bug report, full Phase 1→6 discipline\n    - `/tdd` — for every implementation\n    - `/grill-me` — for every plan stress-test\n    - `/grill-with-docs` — for every domain-model challenge\n    - `/improve-codebase-architecture` — for every refactor opportunity\n    - `/context-mode-ops` (this skill) — for every ops wave\n    Skipping a relevant skill because \"I can do it directly\" is a\n    violation.\n\n12. **Competitive context.** A Codex-equivalent EM exists. The owner\n    believes you should outperform it. Ship like you mean it.\n\n---\n\n### Timeless MUST Rules — non-negotiable for every ops cycle\n\nThese are the durable rules. Session-specific lessons live in commit\nmessages and release notes — they do not belong here. What follows\napplies to every issue, every PR, every release, forever:\n\n**MUST-1 — Operate as the Engineering Manager.** You orchestrate.\nYou delegate. You verify. You do not implement alone when parallel\nwork is available. The owner has delegated EM authority — exercise\nit; do not hoard the keyboard.\n\n**MUST-2 — Spawn ultrathink-licensed subagents in parallel.** Every\nsubagent MUST receive `ultrathink` reasoning authority. Single-thread\nwork on a multi-issue wave is a violation. Use the `agent-teams.md`\nroster: Staff Engineers for implementation, Architects for review,\nSkeptics for adversarial probes, Domain Specialists per adapter / per\nOS. Lead-level coordination is your job; staff-level execution is\ntheir job.\n\n**MUST-3 — Respect all 17 adapters equally.** claude-code, codex,\ncursor, gemini-cli, opencode, openclaw, pi, omp, vscode-copilot,\njetbrains-copilot, qwen-code, kilo, kiro, zed, antigravity,\ncopilot-cli, antigravity-cli. No\nfavourites. A platform-specific bug is a ship-blocker regardless\nof which adapter it is in. We rewrote a contributor's Windows\nconfig once — that is the worst kind of failure and must not recur\non any platform.\n\n**MUST-4 — Respect all 3 operating systems equally.** macOS, Linux,\nWindows. Windows is not an afterthought. Path separators, env vars,\nshell quoting, file locks — every change MUST pass on the\nwindows-latest runner OR explicitly note Windows-only impact. If\nyour change passes on macOS/Linux but the Windows CI job fails,\nthe change is not ready to merge.\n\n**MUST-5 — Run git archaeology BEFORE proposing any fix.** For\nevery reported issue, the agent MUST run `git log --follow --all\n-- <file>` and `git log -S '<pattern>'` on the relevant code.\nCommit messages always tell a story; you act on their inference,\nnot your guesswork. If a prior commit solved a different problem\nthat your fix would re-introduce, the fix is wrong — find the\nthird-way solution that preserves both invariants. Recurrence\nis the single most common shipping failure: most \"bugs\" are old\nfixes coming undone.\n\n**MUST-6 — Anti-hallucination via refs/ + LoC reading.** LLMs lie\ncheaply. Never trust an agent's claim that it read a file, ran a\ncommand, or verified evidence. Demand `file:line` citations from\nactual Read tool output. For any platform-behavior claim, the\ncitation MUST come from `refs/platforms/<name>/<file>:<line>`.\nIf `refs/` is missing or stale, follow the auto-recovery protocol\nbelow — clone first, claim second.\n\n**MUST-7 — Architects review every architectural change.** When\nuncertainty is high, when a fix touches multiple subsystems, when\nship strategy is ambiguous, when a contributor PR proposes a\nnon-trivial structural change — pull in an Architect agent for\ncross-cutting review BEFORE you push. Architects are the safe\nharbour. They have authority to reject untested PRs, untraced\ngit history, and platform claims without `refs/` citation.\n\n**MUST-8 — TDD is the law for implementation.** No production\ncode change ships without a failing test first (RED → GREEN →\nREFACTOR). Vertical slices only. Architects REJECT untested PRs,\nno exceptions. The codebase has 17 adapters × 3 OS × hooks ×\nFTS5 × sessions — it is fragile. One untested change breaks\neverything.\n\n**MUST-9 — Speak to subagents in MUST language only.** LLM agents\nrespect explicit, bright-line constraints. \"Should consider\", \"may\nwant to\", \"feel free to\" produce sloppy work. \"MUST\", \"MUST NOT\",\n\"REQUIRED\", \"FORBIDDEN\" produce focused work. No softening, no\nhedging, no \"if you have time\".\n\n**MUST-10 — Business and sales reasoning outranks code reasoning.**\nThe owner is under MRR pressure he is deliberately shielding you\nfrom. Writing code is cheap. Knowing WHICH code, in WHICH order,\nagainst WHICH user pain — that is the work. Ship work that moves\nthe trust+revenue needle, not work that merely looks busy. A\nfirst-impression bug usually means the user never comes back.\n\n**MUST-11 — Use the named skills toolkit.** `/diagnose`,\n`/tdd`, `/grill-me`, `/grill-with-docs`,\n`/improve-codebase-architecture`, `/context-mode-ops`. Skipping a\nrelevant skill because \"I can do it directly\" is a violation. The\nskills exist to make the work mechanical.\n\n**MUST-12 — Be agentic. Decide.** Once the owner has set direction,\nstop asking permission for every micro-step. Bring decisions back\nfor review, not every keystroke. Codex has an equivalent EM bot —\nyou should outpace it. Ship like you mean it.\n\n---\n\n### refs/ — Platform Evidence Base (anti-hallucination ground truth)\n\n`refs/platforms/` is the project's shadow copy of every upstream\nruntime context-mode integrates with. It is THE evidence base for the\nanti-hallucination rule (principle #3 above). Whenever an agent claims\n\"Codex does X\" / \"Cursor reads Y\" / \"Pi exposes hook Z\", the claim\nMUST be backed by a `refs/platforms/<name>/<file>:<line>` citation\nfrom the actual upstream source — never from LLM training memory.\n\nThe owner has been burned by silent LLM platform-behavior\nfabrication enough times that `refs/` exists specifically to make\nverification mechanical. If `refs/<platform>/` is missing or stale,\nwork on that platform is BLOCKED until the agent re-clones.\n\n**Upstream repositories tracked in `refs/platforms/`:**\n\n| Platform | Upstream | Purpose |\n|---|---|---|\n| `codex` | https://github.com/openai/codex | OpenAI Codex CLI — plugin loader, marketplace, MCP launcher |\n| `gemini-cli` | https://github.com/google-gemini/gemini-cli | Google Gemini CLI — hooks API, MCP wiring |\n| `kilo` | https://github.com/Kilo-Org/kilocode | Kilo Code — OpenCode fork, hook surface |\n| `kiro-meta` | https://github.com/kirodotdev/Kiro | Kiro — `@<server>/<tool>` MCP naming, settings format |\n| `oh-my-pi` | https://github.com/can1357/oh-my-pi | Pi coding agent — extension API, short-circuit flags, MCP bridge |\n| `openclaw` | https://github.com/openclaw/openclaw | OpenClaw — plugin paradigm (`before_tool_call` interception) |\n| `opencode` | https://github.com/sst/opencode | OpenCode — `chat.message` / `tool.execute.before` |\n| `qwen-code` | https://github.com/QwenLM/qwen-code | Qwen Code — Gemini fork, `qwen-cli-mcp-client-*` naming |\n| `vscode-copilot` | https://github.com/microsoft/vscode-copilot-chat | VSCode Copilot — `.vscode/mcp.json` reader |\n| `zed` | https://github.com/zed-industries/zed | Zed — MCP-only paradigm, no hook surface |\n\n**Auto-recovery protocol — MUST follow when `refs/` is missing\nor stale.**\n\n`refs/` lives outside the published npm tarball and is git-ignored\nin the context-mode repo so the publish artifact stays small. That\nmeans a fresh clone of context-mode does NOT include `refs/`. Any\nops agent that needs to verify a platform claim MUST first ensure\nthe relevant `refs/platforms/<name>/` exists with the upstream\nsource it expects. If even one platform directory is missing, the\nagent's response MUST be:\n\n1. Detect the gap: `[ ! -d refs/platforms/<name> ]` or empty.\n2. Issue parallel clones — `ctx_batch_execute(commands, concurrency: 8)`\n   with one `git clone --depth 1 <url> refs/platforms/<name>`\n   command per missing platform. Concurrency MUST be 4-8 to stay\n   inside GitHub's rate limit for unauthenticated clones.\n3. Block all platform-behavior claims until the clones return and\n   the referenced files exist.\n4. Cite the freshly-cloned `refs/platforms/<name>/<file>:<line>` in\n   the agent's report — never an unverified claim.\n\n**Why this matters.** Over the lifetime of context-mode we have\nshipped at least three high-impact regressions that traced back\nto an agent confidently asserting platform behavior without reading\nthe source: (a) inheriting env keys we did not need to inherit\n(claimed Claude Code stripped them — it does not), (b) Codex\nmarketplace placed in a path Codex never reads (`mcp__plugin_*`\nnaming claim was right but the marketplace location claim was\nfabricated), (c) `${CODEX_PLUGIN_ROOT}` claim that turned out to\nbe display-only TUI strings, not an env var. The pattern is\nidentical every time: LLM confidently asserts, owner ships, owner\ngets burned. `refs/` exists so this never happens again. When\nin doubt, clone first, claim second.\n\n</owner_operating_directive>\n\n---\n\n# Context Mode Ops\n\nParallel subagent army for issue triage, PR review, and releases.\n\n## Claim Verification: BLOCKING GATE\n\n<claim_verification_enforcement>\nSTOP. Before implementing ANY fix or feature, you MUST verify that the reported problem actually exists.\nWe shipped inheritEnvKeys because an LLM said Claude Code strips env vars from child processes — it does not.\nWe got burned shipping a fix for an unverified claim. Never again.\n\nRULE: No code without proof. Every bug must be reproduced. Every behavioral claim must be\nverified against official docs or source code. LLM knowledge about platform behavior is NOT evidence.\nIf you cannot verify the claim, ask the reporter for evidence BEFORE writing a single line of code.\n</claim_verification_enforcement>\n\n**Read [validation.md](validation.md) Problem Verification section FIRST.** Summary:\n\n1. **Bug reports**: Reproduce locally or request reproduction steps. No repro = no fix.\n2. **Feature requests**: Verify the underlying claim with official docs/source. Never trust LLM assertions about how platforms behave.\n3. **Performance claims**: Benchmark it. \"Should be faster\" is not evidence.\n4. **Cannot verify?** Comment on the issue asking for `ctx-debug.sh` output and repro steps. Do NOT implement speculatively.\n5. Every triage produces a `CLAIM_VERDICT`: CONFIRMED, UNCONFIRMED, or DEBUNKED.\n\n## TDD-First: BLOCKING GATE\n\n<tdd_enforcement>\nSTOP. Before writing ANY implementation code, you MUST have a failing test.\nNo exceptions. No \"I'll add tests later.\" No \"this change is too small for tests.\"\nThis codebase has 17 adapters, 3 OS, hooks, FTS5, sessions — it is FRAGILE.\nOne untested change breaks everything. TDD is not optional, it is the gate.\n</tdd_enforcement>\n\n**Read [tdd.md](tdd.md) FIRST. It is the law.** Summary:\n\n1. **STOP** if you haven't written a failing test. You cannot write implementation code.\n2. **Vertical slices ONLY**: ONE test → ONE implementation → repeat. NEVER all tests first.\n3. **Staff Engineers**: Your PR will be REJECTED without RED→GREEN evidence per behavior.\n4. **Architects**: REJECT any change without tests. No exceptions, no \"trivial change\" excuse.\n5. **QA Engineer**: Run full suite after EVERY change. Report failures immediately.\n\n## Grill-Me Review: BLOCKING GATE\n\n<grill_me_enforcement>\nSTOP. Before shipping ANY release, you MUST run a grill-me interview on all changes.\nNo exceptions. No \"this is a small patch.\" No \"we already tested it.\"\nEvery release gets grilled. If the grill reveals an unresolved question, the release is BLOCKED.\n</grill_me_enforcement>\n\n**The grill-me interview is MANDATORY before every release.** Summary:\n\n1. Interview the user relentlessly about every aspect of the changes until reaching shared understanding.\n2. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one.\n3. For each question, provide your recommended answer.\n4. Ask questions one at a time.\n5. If a question can be answered by exploring the codebase, explore the codebase instead of asking.\n6. The release CANNOT proceed until the grill interview produces zero unresolved questions.\n7. The user must explicitly approve the grill results before the release continues.\n\n## You Are the Engineering Manager\n\n<delegation_enforcement>\nYou are the EM — you ORCHESTRATE, you do NOT code. You MUST delegate ALL work to subagents.\nYou are FORBIDDEN from: reading source code, writing fixes, running tests, or analyzing diffs yourself.\nYour ONLY job: spawn agents, route results, make ship/no-ship decisions.\nIf the user sends multiple issues/PRs in sequence, spawn a SEPARATE agent army for EACH one.\nNever fall back to doing the work yourself. If an agent fails, spawn another agent — not yourself.\n</delegation_enforcement>\n\nFor every task:\n\n1. **Analyze** — Read the issue/PR with `gh` (via agent), classify affected domains\n2. **Recruit** — Spawn domain-specific agent teams from [agent-teams.md](agent-teams.md)\n3. **Dispatch** — ALL agents in ONE parallel batch (10-20 agents minimum)\n4. **Ping-pong** — Route Architect reviews ↔ Staff Engineer fixes\n5. **Ship** — Push to `next`, comment, close\n\n## Workflow Detection\n\n| User says | Workflow | Reference |\n|-----------|----------|-----------|\n| \"triage issue #N\", \"fix issue\", \"analyze issue\" | Triage | [triage-issue.md](triage-issue.md) |\n| \"review PR #N\", \"merge PR\", \"check PR\" | Review | [review-pr.md](review-pr.md) |\n| \"release\", \"version bump\", \"publish\" | Release | [release.md](release.md) |\n| \"linkedin\", \"marketing\", \"announce\", \"write post\" | Marketing | [marketing.md](marketing.md) |\n\n## GitHub CLI (`gh`) Is Mandatory\n\n<gh_enforcement>\nALL GitHub operations MUST use the `gh` CLI. Never use raw git commands for GitHub interactions.\nNever use curl/wget to GitHub API. `gh` handles auth, pagination, and rate limits correctly.\n</gh_enforcement>\n\n- `gh issue view`, `gh issue comment`, `gh issue close` — for issues\n- `gh pr view`, `gh pr diff`, `gh pr merge --squash`, `gh pr edit --base next` — for PRs\n- `gh release create` — for releases\n\n## Agent Spawning Protocol\n\n1. Read issue/PR body + comments + diff via `gh` (through agent)\n2. Identify affected: adapters, OS, core modules\n3. Build agent roster from [agent-teams.md](agent-teams.md) — context-driven, not static\n4. Spawn ALL agents in ONE message with multiple `Agent` tool calls\n5. Every code-changing agent gets `isolation: \"worktree\"`\n6. Use context-mode MCP tools inside agents for large output\n\n## Validation (Every Workflow)\n\nBefore shipping ANY change, validate per [validation.md](validation.md):\n- [ ] **Problem verified** — claim reproduced or confirmed with hard evidence (CLAIM_VERDICT logged)\n- [ ] ENV vars verified against real platform source (not LLM hallucinations)\n- [ ] All 12 adapter tests pass: `npx vitest run tests/adapters/`\n- [ ] TypeScript compiles: `npm run typecheck`\n- [ ] Full test suite: `npm test`\n- [ ] Cross-OS path handling checked\n\n## Docs Must Stay Current\n\nAfter ANY code change that affects adapters, features, or platform support:\n- [ ] Update `docs/platform-support.md` if adapter capabilities changed\n- [ ] Update `README.md` if install instructions, features, or platform list changed\n- [ ] These updates are NOT optional — ship docs with code, not after\n\n## Communication (Every Workflow)\n\nFollow [communication.md](communication.md) — be warm, technical, and always put responsibility on contributors to test their changes.\n\n## Cross-Cutting References\n\n- [TDD Methodology](tdd.md) — Red-Green-Refactor, mandatory for all code changes\n- [Dynamic Agent Organization](agent-teams.md)\n- [Validation Patterns](validation.md)\n- [Communication Templates](communication.md)\n- [Marketing & Announcements](marketing.md) — LinkedIn posts, release announcements, VC-targeted\n\n## Installation\n\n```shell\n# Install via skills CLI\nnpx skills add mksglu/context-mode --skill context-mode-ops\n\n# Or install all context-mode skills\nnpx skills add mksglu/context-mode\n\n# Or direct path\nnpx skills add https://github.com/mksglu/context-mode/tree/main/skills/context-mode-ops\n```\n","frontmatter":{"name":"context-mode-ops","description":"Manage context-mode GitHub issues, PRs, releases, and marketing with parallel subagent army. Orchestrates 10-20 dynamic agents per task. Use when triaging issues, reviewing PRs, releasing versions, writing LinkedIn posts, announcing releases, fixing bugs, merging contributions, validating ENV vars, testing adapters, or syncing branches."},"isInternal":false,"tokens":5856,"sizeBytes":24271},{"name":"tdd.md","path":".claude/skills/context-mode-ops/tdd.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/.claude/skills/context-mode-ops/tdd.md","title":"Context-mode-ops Skill","category":"anthropic-skill","format":"markdown","content":"# Test-Driven Development\n\n<tdd_enforcement>\nTHIS FILE IS MANDATORY. Every agent, every Staff Engineer, every Architect MUST follow this.\nIf you skip TDD, your work will be REJECTED. There are no exceptions.\nDo NOT write implementation code before you have a failing test.\n</tdd_enforcement>\n\n> Source: [mattpocock/skills/tdd](https://github.com/mattpocock/skills/tree/main/tdd) — embedded with context-mode enforcement.\n\n## Philosophy\n\n**Core principle**: Tests should verify behavior through public interfaces, not implementation details. Code can change entirely; tests shouldn't.\n\n**Good tests** are integration-style: they exercise real code paths through public APIs. They describe _what_ the system does, not _how_ it does it. A good test reads like a specification — \"user can checkout with valid cart\" tells you exactly what capability exists. These tests survive refactors because they don't care about internal structure.\n\n**Bad tests** are coupled to implementation. They mock internal collaborators, test private methods, or verify through external means (like querying a database directly instead of using the interface). The warning sign: your test breaks when you refactor, but behavior hasn't changed. If you rename an internal function and tests fail, those tests were testing implementation, not behavior.\n\n## Anti-Pattern: Horizontal Slices\n\n**DO NOT write all tests first, then all implementation.** This is \"horizontal slicing\" — treating RED as \"write all tests\" and GREEN as \"write all code.\"\n\nThis produces **crap tests**:\n\n- Tests written in bulk test _imagined_ behavior, not _actual_ behavior\n- You end up testing the _shape_ of things (data structures, function signatures) rather than user-facing behavior\n- Tests become insensitive to real changes — they pass when behavior breaks, fail when behavior is fine\n- You outrun your headlights, committing to test structure before understanding the implementation\n\n**Correct approach**: Vertical slices via tracer bullets. One test → one implementation → repeat. Each test responds to what you learned from the previous cycle. Because you just wrote the code, you know exactly what behavior matters and how to verify it.\n\n```\nWRONG (horizontal):\n  RED:   test1, test2, test3, test4, test5\n  GREEN: impl1, impl2, impl3, impl4, impl5\n\nRIGHT (vertical):\n  RED→GREEN: test1→impl1\n  RED→GREEN: test2→impl2\n  RED→GREEN: test3→impl3\n  ...\n```\n\n## Workflow\n\n### 1. Planning\n\nBefore writing any code:\n\n- [ ] Identify what behaviors need to change or be added\n- [ ] List the behaviors to test (not implementation steps)\n- [ ] Identify opportunities for deep modules (small interface, deep implementation)\n- [ ] Design interfaces for testability\n\n**You can't test everything.** Focus testing effort on critical paths and complex logic, not every possible edge case.\n\n### 2. Tracer Bullet\n\nFor the first behavior:\n\n```\nRED:   Write test for first behavior → test fails\nGREEN: Write minimal code to pass → test passes\n```\n\nThen refactor:\n\n- [ ] Extract duplication\n- [ ] Deepen modules (move complexity behind simple interfaces)\n- [ ] Apply SOLID principles where natural\n- [ ] Consider what new code reveals about existing code\n- [ ] Run tests after each refactor step\n\n**Never refactor while RED.** Get to GREEN first.\n\n### 3. Next Behavior\n\n```\nRED:   Write next test → fails\nGREEN: Minimal code to pass → passes\n```\n\nRefactor again. Repeat until all behaviors are covered.\n\n---\n\n## Good and Bad Tests\n\n### Good Tests (Integration-Style)\n\n```typescript\n// GOOD: Tests observable behavior\ntest(\"user can checkout with valid cart\", async () => {\n  const cart = createCart();\n  cart.add(product);\n  const result = await checkout(cart, paymentMethod);\n  expect(result.status).toBe(\"confirmed\");\n});\n```\n\nCharacteristics:\n\n- Tests behavior users/callers care about\n- Uses public API only\n- Survives internal refactors\n- Describes WHAT, not HOW\n- One logical assertion per test\n\n### Bad Tests (Implementation-Coupled)\n\n```typescript\n// BAD: Tests implementation details\ntest(\"checkout calls paymentService.process\", async () => {\n  const mockPayment = jest.mock(paymentService);\n  await checkout(cart, payment);\n  expect(mockPayment.process).toHaveBeenCalledWith(cart.total);\n});\n```\n\nRed flags:\n\n- Mocking internal collaborators\n- Testing private methods\n- Asserting on call counts/order\n- Test breaks when refactoring without behavior change\n- Test name describes HOW not WHAT\n- Verifying through external means instead of interface\n\n```typescript\n// BAD: Bypasses interface to verify\ntest(\"createUser saves to database\", async () => {\n  await createUser({ name: \"Alice\" });\n  const row = await db.query(\"SELECT * FROM users WHERE name = ?\", [\"Alice\"]);\n  expect(row).toBeDefined();\n});\n\n// GOOD: Verifies through interface\ntest(\"createUser makes user retrievable\", async () => {\n  const user = await createUser({ name: \"Alice\" });\n  const retrieved = await getUser(user.id);\n  expect(retrieved.name).toBe(\"Alice\");\n});\n```\n\n---\n\n## When to Mock\n\nMock at **system boundaries** only:\n\n- External APIs (payment, email, etc.)\n- Databases (sometimes — prefer test DB)\n- Time/randomness\n- File system (sometimes)\n\nDon't mock:\n\n- Your own classes/modules\n- Internal collaborators\n- Anything you control\n\n### Designing for Mockability\n\n**1. Use dependency injection**\n\nPass external dependencies in rather than creating them internally:\n\n```typescript\n// Easy to mock\nfunction processPayment(order, paymentClient) {\n  return paymentClient.charge(order.total);\n}\n\n// Hard to mock\nfunction processPayment(order) {\n  const client = new StripeClient(process.env.STRIPE_KEY);\n  return client.charge(order.total);\n}\n```\n\n**2. Prefer SDK-style interfaces over generic fetchers**\n\nCreate specific functions for each external operation instead of one generic function with conditional logic:\n\n```typescript\n// GOOD: Each function is independently mockable\nconst api = {\n  getUser: (id) => fetch(`/users/${id}`),\n  getOrders: (userId) => fetch(`/users/${userId}/orders`),\n  createOrder: (data) => fetch('/orders', { method: 'POST', body: data }),\n};\n\n// BAD: Mocking requires conditional logic inside the mock\nconst api = {\n  fetch: (endpoint, options) => fetch(endpoint, options),\n};\n```\n\nThe SDK approach means:\n- Each mock returns one specific shape\n- No conditional logic in test setup\n- Easier to see which endpoints a test exercises\n- Type safety per endpoint\n\n---\n\n## Interface Design for Testability\n\nGood interfaces make testing natural:\n\n1. **Accept dependencies, don't create them**\n\n   ```typescript\n   // Testable\n   function processOrder(order, paymentGateway) {}\n\n   // Hard to test\n   function processOrder(order) {\n     const gateway = new StripeGateway();\n   }\n   ```\n\n2. **Return results, don't produce side effects**\n\n   ```typescript\n   // Testable\n   function calculateDiscount(cart): Discount {}\n\n   // Hard to test\n   function applyDiscount(cart): void {\n     cart.total -= discount;\n   }\n   ```\n\n3. **Small surface area**\n   - Fewer methods = fewer tests needed\n   - Fewer params = simpler test setup\n\n---\n\n## Deep Modules\n\nFrom \"A Philosophy of Software Design\":\n\n**Deep module** = small interface + lots of implementation\n\n```\n┌─────────────────────┐\n│   Small Interface   │  ← Few methods, simple params\n├─────────────────────┤\n│                     │\n│                     │\n│  Deep Implementation│  ← Complex logic hidden\n│                     │\n│                     │\n└─────────────────────┘\n```\n\n**Shallow module** = large interface + little implementation (avoid)\n\n```\n┌─────────────────────────────────┐\n│       Large Interface           │  ← Many methods, complex params\n├─────────────────────────────────┤\n│  Thin Implementation            │  ← Just passes through\n└─────────────────────────────────┘\n```\n\nWhen designing interfaces, ask:\n\n- Can I reduce the number of methods?\n- Can I simplify the parameters?\n- Can I hide more complexity inside?\n\n---\n\n## Refactor Candidates\n\nAfter TDD cycle, look for:\n\n- **Duplication** → Extract function/class\n- **Long methods** → Break into private helpers (keep tests on public interface)\n- **Shallow modules** → Combine or deepen\n- **Feature envy** → Move logic to where data lives\n- **Primitive obsession** → Introduce value objects\n- **Existing code** the new code reveals as problematic\n\n---\n\n## context-mode Specific Rules\n\n### CONTRIBUTING.md Is the Authority\n\n**Read `CONTRIBUTING.md` before writing any test.** It defines:\n- Test file organization (which file to put your test in)\n- TDD workflow (Red-Green-Refactor)\n- Output quality comparison (before/after)\n- Local development setup\n\n**Do NOT create new test files.** `CONTRIBUTING.md` has the complete test file mapping. Add your tests to the existing file that covers the same domain. If no file fits, ask the maintainer.\n\n### CI Builds Bundles — You Don't\n\n**Do NOT run `npm run build` or `npm run bundle`.** Bundle files (`server.bundle.mjs`, `cli.bundle.mjs`) are generated by GitHub CI automatically. Never create, modify, or push bundle files. You only run:\n\n```bash\nnpm test              # vitest — validates behavior\nnpm run typecheck     # tsc --noEmit — validates types\n```\n\nThat's it. No build. No bundle. CI handles the rest.\n\n### TDD Enforcement in Subagents\n\nEvery Staff Engineer agent MUST include this in their prompt:\n\n```\nMANDATORY TDD — your work will be REJECTED without this:\n1. Read CONTRIBUTING.md for test file organization — do NOT create new test files\n2. Write a failing test FIRST in the correct existing test file\n3. Run: npx vitest run tests/{file} — MUST FAIL\n4. Write minimal code to pass\n5. Run: npx vitest run tests/{file} — MUST PASS\n6. Refactor if needed, tests stay green\n7. Report RED→GREEN evidence:\n   \"RED:  test 'detects opencode via env var' — FAIL (expected)\"\n   \"GREEN: added env check in detect.ts — PASS\"\n   Without this evidence, your PR is auto-rejected.\n```\n","isInternal":false,"tokens":2273,"sizeBytes":10343},{"name":"triage-issue.md","path":".claude/skills/context-mode-ops/triage-issue.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/.claude/skills/context-mode-ops/triage-issue.md","title":"Context-mode-ops Skill","category":"anthropic-skill","format":"markdown","content":"# Triage Issue Workflow\n\n## Trigger\n\nUser says: \"triage issue #N\", \"fix issue #N\", \"analyze issue #N\"\n\n## Step-by-Step\n\n### 1. Gather Intelligence (ONE batch call)\n\nUse `ctx_batch_execute` to gather everything in ONE call:\n\n```javascript\ncommands: [\n  { label: \"issue-body\", command: \"gh issue view {N} --json title,body,labels,state,comments,author,createdAt\" },\n  { label: \"issue-comments\", command: \"gh issue view {N} --comments\" },\n  { label: \"recent-related-prs\", command: \"gh pr list --state all --limit 10 --json number,title,state,headRefName\" },\n  { label: \"source-tree\", command: \"find src -type f -name '*.ts' | sort\" },\n  { label: \"test-tree\", command: \"find tests -type f -name '*.test.ts' | sort\" },\n  { label: \"open-issues\", command: \"gh issue list --state open --limit 20 --json number,title,labels\" }\n],\nqueries: [\n  \"issue title description problem\",\n  \"affected adapter platform\",\n  \"error message stack trace\",\n  \"environment variables mentioned\",\n  \"OS platform specific\",\n  \"related PRs and issues\"\n]\n```\n\n### 2. Classify Domains\n\nFrom the gathered intelligence, identify:\n\n- [ ] **Affected adapters** — which of the 12 platforms?\n- [ ] **Affected OS** — macOS, Linux, Windows, or all?\n- [ ] **Core modules** — server, store, executor, session, hooks?\n- [ ] **Issue type** — bug, feature request, question, discussion?\n- [ ] **Severity** — breaking (can't use tool), degraded (works but wrong), cosmetic\n\n### 3. Spawn Agent Army\n\nBased on classification, spawn from [agent-teams.md](agent-teams.md):\n\n```\nALWAYS spawn:\n├── Context Mode Architect (reviews everything)\n├── QA Engineer (runs all tests)\n├── DX Engineer (checks user-facing quality)\n├── Git Archaeologist (bug/regression only — blame trail, read-only, gates the fix)\n\nIF adapter X is affected:\n├── {X} Architect\n├── {X} Staff Engineer\n\nIF OS-specific:\n├── OS Compatibility Architect\n├── {macOS|Linux|Windows} Staff Engineer\n\nIF domain-specific:\n├── {Domain} Architect\n└── (Staff Engineer if code changes needed)\n```\n\n**Example: Issue #208 \"CLI upgrade full support for Opencode/Kilocode\"**\n```\nAgents to spawn:\n1. Context Mode Architect\n2. QA Engineer\n3. DX Engineer\n4. OpenCode Architect\n5. OpenCode Staff Engineer\n6. Kilo Architect\n7. Kilo Staff Engineer\n8. Hooks Architect (CLI upgrade touches hooks)\n9. OS Compatibility Architect (CLI runs on all OS)\n```\n\n### 4. Claim Verification — BLOCKING GATE\n\n<claim_verification_enforcement>\nSTOP. Before ANY agent writes implementation code, the claim in the issue MUST be verified\nwith hard evidence. We shipped inheritEnvKeys because an LLM said Claude Code strips env vars\n— it doesn't. We got burned shipping a fix for an unverified claim. Never again.\n</claim_verification_enforcement>\n\n**Every issue makes a claim. Verify it BEFORE coding.**\n\n| Issue Type | Required Evidence | How to Get It |\n|------------|-------------------|---------------|\n| **Bug report** | Reproduce locally with a failing test or command | Run the exact steps from the report. If it doesn't fail, the bug may not exist. |\n| **Feature request claiming behavior X** | Prove behavior X actually happens | Check official docs, source code, or web search. NOT LLM knowledge — LLMs hallucinate platform behavior. |\n| **Feature request claiming perf issue** | Benchmark the actual impact | Measure before/after. No \"it should be faster\" — show numbers. |\n| **\"Tool X sets env var Y\"** | Find it in official source | `ctx_fetch_and_index` the platform's docs/source. Grep their repo. If you can't find it, it probably doesn't exist. |\n\n**Verification Steps:**\n\n1. **Architect agents** must produce a `CLAIM_VERDICT` before any Staff Engineer writes code:\n   ```\n   CLAIM: \"{exact claim from the issue}\"\n   EVIDENCE: {link to official doc, source file, or reproduction output}\n   VERDICT: CONFIRMED | UNCONFIRMED | HALLUCINATED\n   ```\n\n2. If `VERDICT: UNCONFIRMED` — do NOT implement. Instead, comment on the issue:\n   ```\n   We couldn't reproduce/verify this claim. Could you provide:\n   - Debug output from: npx context-mode doctor (or ctx-debug.sh)\n   - Exact steps to reproduce\n   - Platform version and OS\n\n   We want to fix this but need to confirm the problem exists first.\n   ```\n\n3. If `VERDICT: HALLUCINATED` — the reporter (or their LLM) made up a behavior that doesn't exist. Comment kindly explaining the misunderstanding. Close with \"working as intended\" if appropriate.\n\n4. Only `VERDICT: CONFIRMED` proceeds to the Investigation Phase below.\n\n**The `ctx-debug.sh` script exists for exactly this purpose.** When in doubt, ask the reporter to run it and paste the output.\n\n### 5. Investigation Phase (Parallel)\n\nAll agents investigate simultaneously:\n\n**Git Archaeologist** runs the blame trail FIRST (read-only):\n- Find the commit that introduced the reported behavior (`git log -S`, `git blame`)\n- Read that commit's message + linked PR — what original problem did it solve?\n- Decide if a naive fix would re-break that original fix\n- Report: ARCHAEOLOGY_REPORT (INTRODUCED_BY, ORIGINAL_INTENT, REGRESSION_RISK, SAFE_FIX_CONSTRAINTS)\n- **Staff Engineers MUST read this report before writing any fix** — see [agent-teams.md](agent-teams.md)\n\n**Architects** research:\n- Read relevant source files\n- Check if claimed behavior actually exists\n- Validate ENV vars against real platform docs (use WebSearch + Context7)\n- Review related closed issues for prior art\n- Report: FINDINGS with specific file:line references\n\n**Staff Engineers** prepare (TDD-first per [tdd.md](tdd.md)):\n- Read the code that needs changing\n- **RED**: Write a failing test that reproduces the bug / specifies new behavior\n- Run test — verify it **FAILS** (if it passes, the test is useless)\n- **GREEN**: Write minimal code to make the test pass\n- Run test — verify it **PASSES**\n- **REFACTOR**: Clean up while keeping tests green\n- Repeat for each behavior (vertical slices, never horizontal)\n- Run full affected adapter tests\n- Report: DRAFT_FIX with RED→GREEN evidence for each behavior\n\n### 6. Ping-Pong Review\n\nRoute Staff Engineer outputs to their paired Architects:\n\n```\nEM reads Staff Engineer result\n  → Sends to Architect via Agent(SendMessage)\n  → Architect reviews: APPROVED or CHANGES_NEEDED\n  → If CHANGES_NEEDED: route back to Staff Engineer\n  → Max 2 rounds, then EM decides\n```\n\n### 7. Validate (QA Engineer)\n\nQA Engineer runs the full validation matrix:\n\n```shell\n# All adapter tests\nnpx vitest run tests/adapters/\n\n# Core tests\nnpx vitest run tests/core/\n\n# Full suite\nnpm test\n\n# TypeScript\nnpm run typecheck\n```\n\nReport as a matrix:\n\n```\nAdapter Tests:\n  ✓ claude-code    ✓ gemini-cli    ✓ opencode\n  ✓ openclaw       ✓ kilo          ✓ codex\n  ✓ vscode-copilot ✓ cursor        ✓ antigravity\n  ✓ kiro           ✓ pi            ✓ zed\n\nCore Tests:    ✓ routing  ✓ search  ✓ server  ✓ cli\nTypeScript:    ✓ no errors\nFull Suite:    ✓ 47/47 passed\n```\n\n### 8. Push Directly to `next`\n\n**Do NOT open a PR.** Push fixes directly to the `next` branch:\n\n```bash\n# Ensure we're on next\ngit checkout next\ngit pull origin next\n\n# Apply changes from worktree agents\n# ... (merge worktree changes)\n\n# Commit with issue reference\ngit commit -m \"fix: {concise description} (closes #{N})\n\n- {what was broken}\n- {what was fixed}\n- {which adapters/modules affected}\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\"\n\n# Push to next\ngit push origin next\n```\n\n### 9. Comment on Issue & Close\n\nAfter pushing to `next`, comment and **close the issue immediately**:\n\n```bash\ngh issue comment {N} --body \"$(cat <<'EOF'\nHey @{author}! 👋\n\nWe investigated this and pushed a fix to the `next` branch ({commit_sha}).\n\n**What was happening:** {technical explanation of the root cause}\n\n**What we fixed:** {technical explanation of the fix}\n\n**Affected area:** {adapter/module names}\n\nThis will ship in the next release. Once it's out, could you please test it in your setup and let us know if it resolves the issue? 🙏\n\nIf the fix doesn't work for you, feel free to reopen this issue.\n\nThanks for reporting this!\nEOF\n)\"\n\n# Close the issue — fix is pushed, job done\ngh issue close {N}\n```\n\n## Decision Tree: Fix vs. Wontfix vs. Needs Info\n\n```\nIssue makes a claim about platform behavior?\n├── YES → Run Claim Verification (Step 4) FIRST\n│   ├── CONFIRMED → Fix it (steps 5-9 above)\n│   ├── UNCONFIRMED → Request evidence (ctx-debug.sh output, repro steps)\n│   └── HALLUCINATED → Explain kindly, close if appropriate\n│\nIssue is clear and reproducible (no behavioral claim)?\n├── YES → Fix it (steps 5-9 above)\n├── UNCLEAR → Comment asking for reproduction steps\n│   └── Template: \"Could you share the exact command/config that triggers this?\"\n└── BY DESIGN → Explain why, close with \"working as intended\" label\n    └── Be kind — explain the design decision\n```\n\n## Edge Cases\n\n### Issue references a feature that doesn't exist\nThe issue author may have been told by an LLM that a feature exists when it doesn't. Use [validation.md](validation.md) ENV verification to catch this. Comment explaining the misunderstanding kindly.\n\n### Issue is a duplicate\nLink to the original issue, close as duplicate, thank the reporter.\n\n### Issue is actually a feature request\nRe-label, add to backlog discussion, don't close — let the community weigh in.\n","isInternal":false,"tokens":2358,"sizeBytes":9460},{"name":"validation.md","path":".claude/skills/context-mode-ops/validation.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/.claude/skills/context-mode-ops/validation.md","title":"Context-mode-ops Skill","category":"anthropic-skill","format":"markdown","content":"# Validation Patterns\n\nCross-cutting validation rules used by ALL workflows (triage, review, release).\n\n## Problem Verification — FIRST GATE\n\n<problem_verification_enforcement>\nThis is the FIRST validation step, before anything else. We shipped inheritEnvKeys because\nwe trusted an LLM claim that Claude Code strips environment variables — it does not.\nWe got burned shipping a fix for an unverified claim. Never again.\nEvery bug report, feature request, and behavioral claim MUST be proven true before code is written.\n</problem_verification_enforcement>\n\n### For Bug Reports\n\n**Reproduce it or reject it.** Run the exact reproduction steps from the issue. If it doesn't fail, the bug may not exist.\n\n```\nStep 1: Extract the claimed reproduction steps from the issue\nStep 2: Run them locally (use ctx_execute or a test)\nStep 3: Record the ACTUAL output\nStep 4: Compare actual vs. claimed behavior\nStep 5: VERDICT:\n  → REPRODUCED: Bug is real, proceed to fix\n  → NOT_REPRODUCED: Ask reporter for ctx-debug.sh output and exact repro steps\n  → INVALID: Reporter's environment is misconfigured, help them fix it\n```\n\n### For Feature Requests\n\n**Verify the underlying claim.** Feature requests always contain an implicit claim (\"X behaves this way\", \"Y is slow\", \"Z doesn't support W\"). Prove the claim first.\n\n```\nStep 1: Identify the claim (e.g., \"Claude Code strips env vars from child processes\")\nStep 2: Find HARD EVIDENCE — official docs, source code, or measured benchmarks\n  → Use ctx_fetch_and_index on official docs/repos\n  → Use ctx_execute to run actual tests\n  → NEVER trust LLM knowledge about platform behavior — LLMs hallucinate this constantly\nStep 3: VERDICT:\n  → CONFIRMED: Claim is true, proceed to design\n  → UNCONFIRMED: Cannot verify — ask reporter for evidence before implementing\n  → DEBUNKED: Claim is false — comment on issue explaining the misunderstanding\n```\n\n### Requesting Evidence from Reporters\n\nWhen a claim cannot be verified, comment on the issue BEFORE implementing:\n\n```markdown\nWe want to address this but need to verify the underlying behavior first.\nCould you provide:\n1. Output from: `npx context-mode doctor` (or run `ctx-debug.sh`)\n2. Exact reproduction steps\n3. Platform version, adapter, and OS\n\nWe'll investigate as soon as we can confirm the issue. Thanks for reporting!\n```\n\n### Evidence Log\n\nEvery triage MUST produce a verification entry:\n\n```\nCLAIM: \"{exact claim}\"\nSOURCE: {issue number or PR}\nEVIDENCE: {link to doc, test output, or benchmark result}\nVERDICT: CONFIRMED | UNCONFIRMED | DEBUNKED\nACTION: {proceed | request-info | close-as-invalid}\n```\n\n---\n\n## ENV Variable Verification\n\nLLMs frequently hallucinate environment variables. Every ENV var in an issue or PR must be verified.\n\n### Verification Protocol\n\nFor EACH environment variable mentioned:\n\n```\nStep 1: GREP — Does it exist in context-mode source?\n  → rg \"{ENV_VAR}\" src/\n  → If found: VERIFIED (we already use it)\n  → If not found: continue to Step 2\n\nStep 2: GREP ADAPTERS — Is it in the adapter detect logic?\n  → Read src/adapters/detect.ts\n  → Check the verified env vars comment block at the top\n  → If listed: VERIFIED (we know about it)\n\nStep 3: WEBSEARCH — Does the platform document it?\n  → WebSearch: \"{PLATFORM} {ENV_VAR} environment variable\"\n  → Check official docs, GitHub repos, release notes\n  → If found in official source: REAL but we don't use it yet\n\nStep 4: CONTEXT7 — Library documentation check\n  → resolve-library-id for the platform\n  → query-docs for the ENV var\n  → Cross-reference with Step 3\n\nStep 5: VERDICT\n  → VERIFIED: We use it and it's real\n  → REAL_NEW: Platform has it but we don't use it yet\n  → HALLUCINATED: No evidence it exists — flag it\n  → DEPRECATED: Used to exist but was removed\n```\n\n### Known Verified ENV Vars (Reference)\n\n| Platform | Verified ENV Vars | Source |\n|----------|------------------|--------|\n| Claude Code | `CLAUDE_PROJECT_DIR`, `CLAUDE_SESSION_ID` | src/adapters/detect.ts |\n| Gemini CLI | `GEMINI_PROJECT_DIR`, `GEMINI_CLI` | src/adapters/detect.ts |\n| OpenCode | `OPENCODE`, `OPENCODE_PID` | src/adapters/detect.ts |\n| OpenClaw | `OPENCLAW_HOME`, `OPENCLAW_CLI` | src/adapters/detect.ts |\n| Kilo | `KILO`, `KILO_PID` | src/adapters/detect.ts |\n| Codex | `CODEX_CI`, `CODEX_THREAD_ID` | src/adapters/detect.ts |\n| VS Code Copilot | `VSCODE_PID`, `VSCODE_CWD` | src/adapters/detect.ts |\n| Cursor | `CURSOR_TRACE_ID`, `CURSOR_CLI` | src/adapters/detect.ts |\n| Override | `CONTEXT_MODE_PLATFORM` | src/adapters/detect.ts |\n\nAny ENV var NOT in this table must go through the full verification protocol.\n\n## Adapter Test Matrix\n\n### Full Matrix Run\n\n```shell\n# Run ALL adapter tests\nnpx vitest run tests/adapters/\n\n# Individual adapter (for targeted testing)\nnpx vitest run tests/adapters/claude-code.test.ts\nnpx vitest run tests/adapters/gemini-cli.test.ts\nnpx vitest run tests/adapters/opencode.test.ts\nnpx vitest run tests/adapters/openclaw.test.ts\nnpx vitest run tests/adapters/kilo.test.ts\nnpx vitest run tests/adapters/codex.test.ts\nnpx vitest run tests/adapters/vscode-copilot.test.ts\nnpx vitest run tests/adapters/cursor.test.ts\nnpx vitest run tests/adapters/antigravity.test.ts\nnpx vitest run tests/adapters/kiro.test.ts\nnpx vitest run tests/adapters/zed.test.ts\n\n# Detection logic\nnpx vitest run tests/adapters/detect.test.ts\nnpx vitest run tests/adapters/client-map.test.ts\n```\n\n### Report Format\n\n```\nADAPTER TEST MATRIX\n═══════════════════\nclaude-code     ✓ 5/5    gemini-cli      ✓ 4/4\nopencode        ✓ 6/6    openclaw        ✓ 3/3\nkilo            ✓ 4/4    codex           ✓ 3/3\nvscode-copilot  ✓ 4/4    cursor          ✓ 3/3\nantigravity     ✓ 2/2    kiro            ✓ 3/3\npi              ✓ 2/2    zed             ✓ 2/2\ndetect          ✓ 8/8    client-map      ✓ 6/6\n───────────────────────────────────────────\nTOTAL: {N}/{N} passed | 0 failed\n```\n\n## Core Module Tests\n\n```shell\n# Core tests\nnpx vitest run tests/core/routing.test.ts\nnpx vitest run tests/core/search.test.ts\nnpx vitest run tests/core/server.test.ts\nnpx vitest run tests/core/cli.test.ts\n\n# Module tests\nnpx vitest run tests/store.test.ts\nnpx vitest run tests/executor.test.ts\nnpx vitest run tests/security.test.ts\nnpx vitest run tests/formatters.test.ts\n\n# Hook tests\nnpx vitest run tests/hooks/\n\n# Full suite\nnpm test\n```\n\n## OS Compatibility Checks\n\n### Path Handling\n\n```javascript\n// WRONG — breaks on Windows\nconst configPath = homedir + \"/.config/opencode/config.json\";\n\n// CORRECT — works everywhere\nconst configPath = path.join(homedir(), \".config\", \"opencode\", \"config.json\");\n```\n\nGrep for potential issues:\n```shell\n# String concatenation with path separators\nrg \"homedir\\(\\)\\s*\\+\" src/\nrg '\"/\\.' src/\nrg \"'\\\\./\" src/\n\n# Direct slash usage in paths (should use path.join)\nrg 'path\\s*=.*\"/' src/ --type ts\n```\n\n### Temp Directory\n\n```javascript\n// WRONG — hardcoded /tmp\nconst tmpFile = \"/tmp/context-mode-output.txt\";\n\n// CORRECT — uses OS temp dir\nconst tmpFile = path.join(os.tmpdir(), \"context-mode-output.txt\");\n```\n\nGrep for hardcoded temp:\n```shell\nrg '\"/tmp/' src/\nrg \"'/tmp/\" src/\n```\n\n### Native Bindings (better-sqlite3)\n\nCheck that `better-sqlite3` is in `optionalDependencies` (not `dependencies`) and the code handles the case where it's not available:\n\n```shell\nrg \"better-sqlite3\" src/ --type ts\nrg \"optionalDependencies\" package.json\n```\n\n### Process Spawn\n\n```javascript\n// WRONG — shell: true behaves differently on Windows\nspawn(\"command\", { shell: true });\n\n// CORRECT — explicit shell selection\nspawn(\"command\", { shell: process.platform === \"win32\" ? \"cmd.exe\" : \"/bin/sh\" });\n```\n\n## Hook Format Validation\n\nEach platform has different hook formats. Verify changes match:\n\n| Platform | Hook Format | Key Differences |\n|----------|------------|-----------------|\n| Claude Code | `hooks.json` in plugin dir | `PreToolUse`, `PostToolUse`, `PreCompact`, `SessionStart` |\n| Gemini CLI | `~/.gemini/settings.json` | `BeforeTool`, `AfterTool`, `PreCompress`, `SessionStart` + `matcher` |\n| VS Code Copilot | `.github/hooks/*.json` | Same as Claude Code but separate file |\n| Cursor | `.cursor/hooks.json` | No `SessionStart` (injects via file instead) |\n| OpenCode | `opencode.json` | Uses `agents` section, not traditional hooks |\n| OpenClaw | `openclaw.plugin.json` | Extension model, not hook-based |\n\n## Security Checks\n\n### Sandbox Escape\n\n```shell\n# File writing attempts through ctx_execute\nrg \"writeFile\\|appendFile\\|createWriteStream\" src/executor.ts\n\n# Path traversal\nrg \"\\.\\.\\/\" src/ --type ts\n\n# Command injection vectors\nrg \"exec\\(.*\\$\\{\" src/ --type ts\nrg \"spawn\\(.*\\$\\{\" src/ --type ts\n```\n\n### Information Disclosure\n\n```shell\n# Sensitive paths\nrg \"process\\.env\\b\" src/ --type ts | grep -v \"test\"\n\n# Home directory exposure\nrg \"homedir\\(\\)\" src/ --type ts\n```\n\n## TypeScript Validation\n\n```bash\n# Full type check\nnpm run typecheck\n\n# Should report 0 errors\n# If errors exist, they MUST be fixed before shipping\n```\n\n## Pre-Ship Checklist\n\nEvery change, regardless of workflow, must pass:\n\n- [ ] **Problem verified** — CLAIM_VERDICT is CONFIRMED with hard evidence (this is gate zero)\n- [ ] `npm run typecheck` — 0 errors\n- [ ] `npm test` — all pass\n- [ ] Adapter tests — all 12 pass (or N/A if untouched)\n- [ ] ENV vars — all verified against real platform source\n- [ ] Path handling — no hardcoded separators\n- [ ] Hook format — matches target platform's schema\n- [ ] No security regressions\n\n## Fan-out Claim Verification — SECOND GATE\n\n<fan_out_verification_enforcement>\nSTOP. Before dispatching N implementation agents on a survey result, you MUST\nverify each of the N claims independently. Audit agents are LLMs; LLMs lie.\nA survey that returns \"10 adapters need this fix\" is the moment to slow down,\nnot the moment to fork 10 parallel implementations.\n\nRULE: One audit claim ≠ one verified bug. Each item gets its own CLAIM_VERDICT\nbefore code is touched. The same Problem Verification gate that applies to\nexternal bug reports applies — equally — to internal fan-out claims.\n</fan_out_verification_enforcement>\n\n### When this gate fires\n\nAny time an EM-mode flow produces a multi-item list of suggested fixes — from\na survey agent, a triage sweep, a cross-adapter audit, a release pre-flight,\nan architecture review — the list is a HYPOTHESIS, not a punch list. The N\nitems have NOT been verified just because one agent grouped them.\n\n### The pattern\n\n```\nPHASE A — Reproduce each claim\n  Spawn one verification agent PER item in parallel.\n  Each agent MUST: read the platform source, attempt to reproduce the\n  failure, return CLAIM_VERDICT = CONFIRMED | DEBUNKED | UNDETERMINED.\n  File:line citations from real source are mandatory. No source citation\n  = treat as UNDETERMINED.\n\nPHASE B — Research only CONFIRMED items\n  For each CONFIRMED item, the SAME agent (or a follow-up) MUST identify\n  the concrete fix shape: file location, format, multi-window safety,\n  feasibility tier (HIGH / MEDIUM / LOW). DEBUNKED items are dropped.\n  UNDETERMINED items are tabled for the maintainer's empirical session.\n\nPHASE C — Implement only verified items\n  Dispatch implementation agents only for items that made it through A and\n  B. The fanout factor at this gate is typically 5-20% of the original\n  audit list — the rest were speculation that the gate caught.\n```\n\n### Why this gate exists\n\nReal incident (v1.0.148-era stats accuracy work, 2026-05-24):\n\n- A survey agent returned 10 adapters needing a `resolveCodexSessionCwd`-\n  style on-disk fallback. The maintainer asked for proof.\n- Phase A spawned 5 parallel verification agents (cursor, vscode-copilot,\n  jetbrains-copilot, gemini-cli, opencode).\n- Result: 2 DEBUNKED (cursor: passes cwd in hook stdin; opencode: native\n  plugin bridge, no spawn), 3 CONFIRMED but with different fix shapes\n  (vscode-copilot: trivial 1-line cascade addition; jetbrains: on-disk\n  fallback infeasible due to multi-window collision; gemini-cli: upstream\n  bug + docs workaround).\n- Net engineering scope: **1 trivial line change** instead of 10\n  parallel implementations.\n\nWithout this gate, we would have shipped 10 speculative fixes against\nunreproducible claims — the same failure mode as the inheritEnvKeys\nincident (an LLM said \"Claude Code strips env vars from child processes\",\nwe shipped a fix, and the platform behavior was never the claim).\n\n### What a CLAIM_VERDICT must look like\n\n```yaml\nclaim:\n  description: \"<one sentence stating the hypothesis precisely>\"\nverdict:\n  status: CONFIRMED | DEBUNKED | UNDETERMINED\n  evidence:\n    - \"file:line — what was found\"\n    - \"file:line — supporting detail\"\n    - \"file:line — counterexample (for DEBUNKED)\"\n  fix_shape:        # only when CONFIRMED\n    location: \"<file/format>\"\n    field_path: \"<where cwd / target value lives>\"\n    multi_window_safety: \"<mtime guard? unsafe? n/a?>\"\n    feasibility: HIGH | MEDIUM | LOW\n  decision: SHIP | DOCS-ONLY | TABLE | DROP\n```\n\n### Anti-patterns to recognize\n\n- **\"The audit says 10 — let me spawn 10 implementation agents.\"** Don't.\n  Spawn 10 verification agents first; THEN spawn implementation agents only\n  for the survivors.\n- **\"This is the same kind of bug we just fixed, so it must apply here\n  too.\"** Almost-same-shape bugs frequently have completely different\n  root causes per-platform. Verify per-platform.\n- **\"The agent said X, I trust it.\"** LLMs are programmed to take the\n  path of minimum energy. They will write plausible verdicts without\n  actually reading the source. Require file:line citations and spot-\n  check at least one.\n- **\"We don't have time to verify each one.\"** Verification is faster\n  than reverting bad ships. Five verification agents in parallel finish\n  in the time one implementation agent takes. The verification spend pays\n  for itself if it catches even one DEBUNKED.\n","isInternal":false,"tokens":3599,"sizeBytes":14040},{"name":"SKILL.md","path":"configs/antigravity-cli/skills/context-mode/SKILL.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/configs/antigravity-cli/skills/context-mode/SKILL.md","title":"context-mode","category":"anthropic-skill","format":"markdown","content":"---\nname: context-mode\ndescription: Mandatory routing rules for Antigravity CLI. Invoke when exploring a codebase, reading files for analysis, listing context-mode tools, searching, parsing, counting, comparing, summarizing, fetching web content, or running data-heavy commands.\n---\n\n# context-mode for Antigravity CLI\n\ncontext-mode MCP tools are available in agy as `context-mode/<tool>`.\nUse these tools directly. Do not inspect cached schema files under\n`~/.gemini/antigravity-cli/mcp/context-mode/*.json`, and do not run\n`ctx_execute` just to discover tool names or schemas.\n\nIf agy uses the generic MCP wrapper, call `call_mcp_tool` with:\n\n- `ServerName`: `\"context-mode\"`\n- `ToolName`: one of the tool names below\n- `Arguments`: the JSON arguments for that tool\n\n## Tool List\n\n- `context-mode/ctx_execute`: run JavaScript, TypeScript, Python, shell, or\n  other code in a sandbox. Print only the final answer.\n- `context-mode/ctx_execute_file`: read one file into `FILE_CONTENT` inside the\n  sandbox and run code over it. This is the context-mode file-read surface.\n- `context-mode/ctx_batch_execute`: run multiple repository commands in one\n  batch, index large output, and answer follow-up queries.\n- `context-mode/ctx_index`: store a file, directory, or content in the local\n  FTS5 knowledge base for later search.\n- `context-mode/ctx_search`: search indexed content and captured session\n  memory. Batch related questions in `queries`.\n- `context-mode/ctx_fetch_and_index`: fetch web content, store it, then query\n  with `ctx_search`.\n- `context-mode/ctx_stats`: show context savings and current-session stats.\n- `context-mode/ctx_doctor`: diagnose context-mode runtime and hook health.\n- `context-mode/ctx_upgrade`: provide upgrade or repair guidance.\n- `context-mode/ctx_purge`: purge stored context-mode knowledge after\n  confirmation.\n- `context-mode/ctx_insight`: launch or report the Insight analytics app.\n\nWhen the user asks \"what context-mode tools are available\", answer from this\nlist. Do not list `~/.gemini/antigravity-cli/mcp/context-mode` and do not read\nthe JSON schema files.\n\n## File Reading\n\nThere is no separate `ctx_read` tool. Use `context-mode/ctx_execute_file` for\nfile reads that analyze, summarize, extract, count, filter, or compare.\n\nNative `Read` / `view_file` is only right when editing needs exact bytes in the\nconversation, or when the user explicitly asks to view a small known range.\n\nUse JavaScript by default for lightweight file analysis:\n\n```json\n{\n  \"path\": \"README.md\",\n  \"language\": \"javascript\",\n  \"code\": \"const lines = FILE_CONTENT.split(/\\\\r?\\\\n/); console.log(lines.slice(0, 20).join('\\\\n'));\"\n}\n```\n\nNever print `FILE_CONTENT` wholesale unless the user explicitly asks for a full\nfile dump. Print selected lines, counts, matches, summaries, or structured\nresults.\n\n## Codebase Exploration\n\nFor repository exploration, prefer one `context-mode/ctx_batch_execute` call\ninstead of many native `ListDir`, `Read`, `Grep`, or shell calls.\n\nFor one-off computed answers, use `context-mode/ctx_execute`.\nFor one-file analysis, use `context-mode/ctx_execute_file`.\nFor durable recall across follow-up questions, use `context-mode/ctx_index`\nwith a descriptive `source`, then `context-mode/ctx_search`.\n\nReturn concise derived answers. Do not paste raw command dumps, full files,\nlarge search results, cached schemas, or raw HTML into the conversation.\n","frontmatter":{"name":"context-mode","description":"Mandatory routing rules for Antigravity CLI. Invoke when exploring a codebase, reading files for analysis, listing context-mode tools, searching, parsing, counting, comparing, summarizing, fetching web content, or running data-heavy commands."},"isInternal":false,"tokens":793,"sizeBytes":3398},{"name":"SKILL.md","path":"configs/copilot-cli/skills/context-mode/SKILL.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/configs/copilot-cli/skills/context-mode/SKILL.md","title":"context-mode","category":"anthropic-skill","format":"markdown","content":"---\nname: context-mode\ndescription: MANDATORY routing rules for context-mode. Invoke whenever you analyze, count, filter, compare, search, parse, or transform data; fetch a URL; or run a data-heavy command — so raw bytes stay out of the context window.\n---\n\n# context-mode — MANDATORY routing rules\n\ncontext-mode MCP tools are available in GitHub Copilot CLI. These rules protect\nthe context window from flooding — one unrouted command can dump tens of KB into\nthe conversation. Follow them strictly.\n\n## Think in Code — MANDATORY\n\nAnalyze / count / filter / compare / search / parse / transform data: **write\ncode** via `ctx_execute(language, code)` and `console.log()` only the answer. Do\nNOT read raw data into context. PROGRAM the analysis, do not COMPUTE it by\nreading. One script replaces ten tool calls.\n\n## BLOCKED — do NOT use\n\n- **curl / wget** — dumps raw HTTP into context. Use\n  `ctx_fetch_and_index(url, source)` then `ctx_search(queries)`.\n- **Inline HTTP** (`node -e \"fetch(...)\"`, `python -c \"requests.get(...)\"`) — use\n  `ctx_execute(language, code)`; only stdout enters context.\n- **Reading large files to analyze** — use\n  `ctx_execute_file(path, language, code)`.\n\n## Tool selection\n\n1. **GATHER**: `ctx_batch_execute(commands, queries)` — runs all commands,\n   auto-indexes, returns search. One call replaces dozens.\n2. **PROCESS**: `ctx_execute` / `ctx_execute_file` — sandbox; only stdout enters\n   context.\n3. **WEB**: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)` — raw\n   HTML never enters context.\n4. **SEARCH**: `ctx_search(queries: [...])` — all questions in one call.\n\nWrite artifacts to FILES; return a path + one-line description, not inline dumps.\n","frontmatter":{"name":"context-mode","description":"MANDATORY routing rules for context-mode. Invoke whenever you analyze, count, filter, compare, search, parse, or transform data; fetch a URL; or run a data-heavy command — so raw bytes stay out of the context window."},"isInternal":false,"tokens":418,"sizeBytes":1722},{"name":"anti-patterns.md","path":"skills/context-mode/references/anti-patterns.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/skills/context-mode/references/anti-patterns.md","title":"References Skill","category":"anthropic-skill","format":"markdown","content":"# Anti-Patterns: Common Mistakes with execute / execute_file\n\nAvoid these pitfalls when using context-mode tools.\n\n---\n\n## 1. Using execute for Small Outputs (< 20 Lines)\n\n**Problem:** `execute` adds overhead (LLM summarization call). For small outputs, Bash is faster and cheaper.\n\n```\nBAD — wasteful use of execute:\n  Tool: execute\n  code: \"echo $(node --version)\"\n  language: shell\n\nGOOD — just use Bash:\n  Tool: Bash\n  command: node --version\n```\n\n**Rule:** If the output fits comfortably in your context window (under ~20 lines), use Bash directly. Reserve `execute` for outputs that would bloat context or need intelligent summarization.\n\nMore examples of \"just use Bash\":\n- `git status` — usually 5-10 lines\n- `ls -la` — directory listing\n- `cat .env.example` — small config file\n- `pwd`, `whoami`, `which node`\n- `wc -l src/index.ts` — single line output\n\n---\n\n## 2. Forgetting to Print Output\n\n**Problem:** `execute` captures stdout. If your code doesn't print anything, the summary will be empty or meaningless.\n\n```javascript\n// BAD — no output:\nconst fs = require('fs');\nconst data = JSON.parse(fs.readFileSync('package.json', 'utf8'));\nconst deps = Object.keys(data.dependencies);\n// Nothing printed! The LLM sees empty stdout.\n\n// GOOD — explicit output:\nconst fs = require('fs');\nconst data = JSON.parse(fs.readFileSync('package.json', 'utf8'));\nconst deps = Object.keys(data.dependencies);\nconsole.log(`Dependencies (${deps.length}):`);\ndeps.forEach(d => console.log(`  ${d}: ${data.dependencies[d]}`));\n```\n\n```python\n# BAD — computes but never prints:\nwith open('data.json') as f:\n    data = json.load(f)\nresult = [x for x in data if x['status'] == 'error']\n# result is lost — never printed\n\n# GOOD — always print results:\nwith open('data.json') as f:\n    data = json.load(f)\nresult = [x for x in data if x['status'] == 'error']\nprint(f\"Found {len(result)} errors:\")\nfor r in result:\n    print(f\"  {r['id']}: {r['message']}\")\n```\n\n**Rule:** Every `execute` script must end with print/console.log of the results you want summarized.\n\n---\n\n## 3. Using Bash When JS/Python Would Be Cleaner\n\n**Problem:** Complex data processing in Bash quickly becomes unreadable and error-prone.\n\n```shell\n# BAD — parsing JSON in Bash is fragile:\ncat data.json | python3 -c \"\nimport sys, json\ndata = json.load(sys.stdin)\nfor item in data:\n    if item['status'] == 'error':\n        print(item['id'], item['message'])\n\"\n# If you're already using Python inline, just use language: python\n```\n\n```javascript\n// GOOD — use the right language for the job:\n// language: javascript\nconst data = require('./data.json');\ndata.filter(x => x.status === 'error')\n    .forEach(x => console.log(`${x.id}: ${x.message}`));\n```\n\n**Rule:** If your Bash script contains inline Python/Node or complex `jq`/`awk` chains, switch to `language: python` or `language: javascript` instead.\n\nSigns you should switch from shell:\n- Using `python3 -c` or `node -e` inside the shell script\n- More than 3 pipes chained together\n- Using `jq` for complex JSON transformations\n- Nested loops in Bash\n- String manipulation beyond simple `cut`/`sed`\n\n---\n\n## 4. Loading Entire Files into Context Then Processing\n\n**Problem:** Reading a 10,000-line file with `Read` tool, then asking about it, wastes your entire context window. Use `execute` to process the file and return only the summary.\n\n```\nBAD workflow:\n  1. Read tool: read 'server.log' (10,000 lines loaded into context)\n  2. \"Find all errors in this log\"\n  → 10,000 lines consumed context for a question that needs ~20 lines of output\n\nGOOD workflow:\n  1. execute with language: python\n     code: |\n       with open('server.log') as f:\n           errors = [l for l in f if 'ERROR' in l]\n       print(f\"Total errors: {len(errors)}\")\n       for e in errors[-20:]:\n           print(e.strip())\n     summary_prompt: \"Categorize errors and report frequency\"\n  → Only the summary enters context\n```\n\n```\nBAD workflow:\n  1. Read tool: read 'package-lock.json' (20,000 lines)\n  2. \"What version of lodash is installed?\"\n\nGOOD workflow:\n  1. execute with language: javascript\n     code: |\n       const lock = require('./package-lock.json');\n       const find = (deps, name) => {\n         if (deps[name]) return deps[name].version;\n         for (const [, dep] of Object.entries(deps)) {\n           if (dep.dependencies) {\n             const v = find(dep.dependencies, name);\n             if (v) return v;\n           }\n         }\n       };\n       console.log(`lodash: ${find(lock.dependencies, 'lodash') || 'not found'}`);\n     summary_prompt: \"Report the installed version of lodash\"\n```\n\n**Rule:** If a file is over 200 lines and you only need specific data from it, use `execute` to extract what you need rather than reading the whole file into context.\n\n---\n\n## 5. Not Using JSON.stringify for Structured Output\n\n**Problem:** Printing objects without serialization gives `[object Object]` in JavaScript.\n\n```javascript\n// BAD — prints [object Object]:\nconst pkg = require('./package.json');\nconsole.log(pkg.dependencies);\n// Output: [object Object]\n\n// GOOD — serialize properly:\nconst pkg = require('./package.json');\nconsole.log(JSON.stringify(pkg.dependencies, null, 2));\n// Output: { \"react\": \"^18.2.0\", \"next\": \"^14.0.0\", ... }\n```\n\n```javascript\n// BAD — loses structure in arrays:\nconst items = [{name: 'a', value: 1}, {name: 'b', value: 2}];\nconsole.log(items);\n// May print unhelpfully\n\n// GOOD — format as table:\nconst items = [{name: 'a', value: 1}, {name: 'b', value: 2}];\nconsole.log('Name  | Value');\nconsole.log('------|------');\nitems.forEach(i => console.log(`${i.name.padEnd(5)} | ${i.value}`));\n// Or use JSON.stringify:\nconsole.log(JSON.stringify(items, null, 2));\n```\n\n**Rule:** Always use `JSON.stringify(data, null, 2)` for objects/arrays in JavaScript, or format as a readable table. In Python, use `json.dumps(data, indent=2)` or `pprint.pprint(data)`.\n\n---\n\n## 6. Timeout Too Short for Network Operations\n\n**Problem:** Default timeout may be too short for API calls, builds, or test suites.\n\n```\nBAD — will timeout on API calls:\n  Tool: execute\n  code: |\n    const resp = await fetch('https://api.slow-service.com/data');\n    console.log(await resp.json());\n  language: javascript\n  timeout_ms: 5000  ← API may take 10+ seconds\n\nGOOD — generous timeout for network:\n  Tool: execute\n  code: |\n    const resp = await fetch('https://api.slow-service.com/data');\n    console.log(JSON.stringify(await resp.json(), null, 2));\n  language: javascript\n  timeout_ms: 30000  ← 30 seconds for network calls\n```\n\n**Recommended timeouts:**\n| Operation | timeout_ms |\n|-----------|-----------|\n| File reading/parsing | 5000 - 10000 |\n| Local computation | 10000 |\n| Single API request | 15000 - 30000 |\n| Paginated API calls | 30000 - 60000 |\n| npm install / build | 120000 |\n| Full test suite | 120000 - 300000 |\n\n**Rule:** Always consider what your script does and set `timeout_ms` accordingly. Network calls and builds need significantly more time than file operations.\n\n---\n\n## 7. Not Using summary_prompt Effectively\n\n**Problem:** Without a good `summary_prompt`, the LLM summarization may focus on irrelevant details.\n\n```\nBAD — vague or missing summary_prompt:\n  summary_prompt: \"Summarize this\"\n  → May focus on the wrong aspects\n\nGOOD — specific and actionable:\n  summary_prompt: \"Report the count of failing tests, list each failure with its file path and error message, and identify any patterns in the failures\"\n```\n\n**Tips for effective summary_prompt:**\n- Be specific about what data points you need\n- Ask for counts and metrics, not just descriptions\n- Request actionable insights (\"suggest fixes\", \"identify patterns\")\n- Mention the format you want (\"list as bullet points\", \"group by category\")\n\n---\n\n## 8. `ctx_execute` Captures, `ctx_search` Filters — Don't Merge the Layers\n\n`ctx_execute` and `ctx_search` are two layers, not one. `ctx_execute` exists to **capture** full output into the index. `ctx_search` exists to **filter** what was captured. When you narrow the output *inside* `ctx_execute` — at the shell layer, in script logic, anywhere upstream of capture — the dropped lines never reach the index. `ctx_search` cannot recover what was never written. You've spent the capture budget and lost the data you'd want to query later, for no context-window benefit: large stdout is already auto-indexed, not returned inline.\n\nThe mental model:\n\n```\n┌──────────────────────┐      ┌──────────────────────┐\n│   ctx_execute        │ ───▶ │   ctx_search         │\n│   (capture layer)    │      │   (filter layer)     │\n│                      │      │                      │\n│   produces full      │      │   queries the        │\n│   output into index  │      │   captured index     │\n└──────────────────────┘      └──────────────────────┘\n        ▲                              ▲\n        │                              │\n   Job: capture                   Job: narrow\n   Do NOT narrow here.            Do all narrowing here.\n```\n\n**Rule:** Treat `ctx_execute`'s output as write-once to the index. Run the command in full and let it index. Do every narrowing step downstream, via `ctx_search`. If you find yourself trimming inside `ctx_execute`, you are doing the filter layer's job in the capture layer — stop and move the narrowing to a `ctx_search` call.\n\n**Why the layer separation matters:** the index is what survives across calls and across sessions. Anything you discard before the index is gone permanently from this session's queryable surface. Anything you keep is queryable, repeatedly, with different questions, at zero re-execution cost.\n\n---\n\n## Summary Checklist\n\nBefore using `execute`, verify:\n\n- [ ] Output will be > 20 lines (otherwise use Bash)\n- [ ] Script prints all results to stdout\n- [ ] Objects are serialized with JSON.stringify / json.dumps\n- [ ] Timeout matches the operation type\n- [ ] Language matches the task (JS for JSON/API, Python for data, Shell for pipes)\n- [ ] summary_prompt is specific and actionable\n- [ ] Not loading a file into context that could be processed inside execute\n","isInternal":false,"tokens":2468,"sizeBytes":10368},{"name":"patterns-javascript.md","path":"skills/context-mode/references/patterns-javascript.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/skills/context-mode/references/patterns-javascript.md","title":"References Skill","category":"anthropic-skill","format":"markdown","content":"# JavaScript / TypeScript Patterns for execute\n\nPractical patterns for using `execute` with `language: javascript`.\nAll examples assume Node.js runtime with native fetch (Node 18+).\n\n---\n\n## API Response Processing\n\n### Fetch and summarize a REST API\n\n```javascript\n// execute: Analyze API health endpoint\nconst resp = await fetch('https://api.example.com/health');\nconst data = await resp.json();\n\nconsole.log('=== Service Health ===');\nconsole.log(`Status: ${data.status}`);\nconsole.log(`Uptime: ${data.uptime}`);\nconsole.log(`Timestamp: ${data.timestamp}`);\n\nif (data.services) {\n  console.log('\\n=== Service Components ===');\n  for (const [name, info] of Object.entries(data.services)) {\n    console.log(`  ${name}: ${info.status} (latency: ${info.latency_ms}ms)`);\n  }\n}\n\nif (data.errors && data.errors.length > 0) {\n  console.log('\\n=== Recent Errors ===');\n  data.errors.slice(0, 10).forEach(e => {\n    console.log(`  [${e.timestamp}] ${e.code}: ${e.message}`);\n  });\n}\n```\n> summary_prompt: \"Report overall health, list any degraded services, and highlight errors\"\n\n### Paginated API collection\n\n```javascript\n// execute: Fetch all open issues from GitHub API\nconst owner = 'org';\nconst repo = 'project';\nlet page = 1;\nlet allIssues = [];\n\nwhile (true) {\n  const resp = await fetch(\n    `https://api.github.com/repos/${owner}/${repo}/issues?state=open&per_page=100&page=${page}`,\n    { headers: { 'Accept': 'application/vnd.github.v3+json' } }\n  );\n  const issues = await resp.json();\n  if (issues.length === 0) break;\n  allIssues.push(...issues);\n  page++;\n}\n\nconsole.log(`Total open issues: ${allIssues.length}\\n`);\n\n// Group by labels\nconst byLabel = {};\nallIssues.forEach(issue => {\n  issue.labels.forEach(label => {\n    byLabel[label.name] = (byLabel[label.name] || 0) + 1;\n  });\n});\n\nconsole.log('=== Issues by Label ===');\nObject.entries(byLabel)\n  .sort((a, b) => b[1] - a[1])\n  .forEach(([label, count]) => console.log(`  ${label}: ${count}`));\n\n// Oldest issues\nconsole.log('\\n=== 10 Oldest Issues ===');\nallIssues\n  .sort((a, b) => new Date(a.created_at) - new Date(b.created_at))\n  .slice(0, 10)\n  .forEach(i => console.log(`  #${i.number} (${i.created_at.slice(0,10)}): ${i.title}`));\n```\n> summary_prompt: \"Summarize issue distribution by label, highlight stale issues, suggest priorities\"\n> timeout_ms: 30000\n\n---\n\n## JSON Data Analysis\n\n### Analyze a large JSON config file\n\n```javascript\nconst fs = require('fs');\nconst data = JSON.parse(fs.readFileSync('tsconfig.json', 'utf8'));\n\nconsole.log('=== TSConfig Analysis ===');\nconsole.log(`Target: ${data.compilerOptions?.target}`);\nconsole.log(`Module: ${data.compilerOptions?.module}`);\nconsole.log(`Strict: ${data.compilerOptions?.strict}`);\nconsole.log(`Paths aliases: ${Object.keys(data.compilerOptions?.paths || {}).length}`);\n\nif (data.compilerOptions?.paths) {\n  console.log('\\n=== Path Aliases ===');\n  for (const [alias, targets] of Object.entries(data.compilerOptions.paths)) {\n    console.log(`  ${alias} -> ${targets.join(', ')}`);\n  }\n}\n\nif (data.include) console.log(`\\nInclude: ${data.include.join(', ')}`);\nif (data.exclude) console.log(`Exclude: ${data.exclude.join(', ')}`);\nif (data.references) {\n  console.log(`\\nProject References: ${data.references.length}`);\n  data.references.forEach(r => console.log(`  ${r.path}`));\n}\n```\n> summary_prompt: \"Report compiler strictness, module system, and any unusual configuration\"\n\n### Diff two JSON files\n\n```javascript\nconst fs = require('fs');\nconst a = JSON.parse(fs.readFileSync('config.prod.json', 'utf8'));\nconst b = JSON.parse(fs.readFileSync('config.staging.json', 'utf8'));\n\nfunction diffObjects(obj1, obj2, path = '') {\n  const allKeys = new Set([...Object.keys(obj1 || {}), ...Object.keys(obj2 || {})]);\n  for (const key of allKeys) {\n    const fullPath = path ? `${path}.${key}` : key;\n    if (!(key in (obj1 || {}))) {\n      console.log(`+ ${fullPath}: ${JSON.stringify(obj2[key])}`);\n    } else if (!(key in (obj2 || {}))) {\n      console.log(`- ${fullPath}: ${JSON.stringify(obj1[key])}`);\n    } else if (typeof obj1[key] === 'object' && typeof obj2[key] === 'object') {\n      diffObjects(obj1[key], obj2[key], fullPath);\n    } else if (JSON.stringify(obj1[key]) !== JSON.stringify(obj2[key])) {\n      console.log(`~ ${fullPath}: ${JSON.stringify(obj1[key])} -> ${JSON.stringify(obj2[key])}`);\n    }\n  }\n}\n\nconsole.log('=== Config Diff: prod vs staging ===');\ndiffObjects(a, b);\n```\n> summary_prompt: \"List all configuration differences between prod and staging environments\"\n\n---\n\n## Package.json / Lock File Analysis\n\n### Dependency audit\n\n```javascript\nconst fs = require('fs');\nconst pkg = JSON.parse(fs.readFileSync('package.json', 'utf8'));\n\nconst deps = Object.entries(pkg.dependencies || {});\nconst devDeps = Object.entries(pkg.devDependencies || {});\n\nconsole.log(`Package: ${pkg.name}@${pkg.version}`);\nconsole.log(`Dependencies: ${deps.length}`);\nconsole.log(`DevDependencies: ${devDeps.length}`);\n\n// Find non-pinned versions\nconsole.log('\\n=== Non-Pinned Dependencies ===');\n[...deps, ...devDeps].forEach(([name, version]) => {\n  if (version.startsWith('^') || version.startsWith('~') || version === '*') {\n    console.log(`  ${name}: ${version}`);\n  }\n});\n\n// Find duplicated categories\nconsole.log('\\n=== Scripts ===');\nObject.entries(pkg.scripts || {}).forEach(([name, cmd]) => {\n  console.log(`  ${name}: ${cmd}`);\n});\n\n// Workspace detection\nif (pkg.workspaces) {\n  console.log('\\n=== Monorepo Workspaces ===');\n  const ws = Array.isArray(pkg.workspaces) ? pkg.workspaces : pkg.workspaces.packages || [];\n  ws.forEach(w => console.log(`  ${w}`));\n}\n```\n> summary_prompt: \"Report dependency health: unpinned versions, total count, any security concerns from package names\"\n\n### Lock file drift detection\n\n```javascript\nconst fs = require('fs');\nconst pkg = JSON.parse(fs.readFileSync('package.json', 'utf8'));\n\nlet lockExists = { npm: false, yarn: false, pnpm: false };\ntry { fs.accessSync('package-lock.json'); lockExists.npm = true; } catch {}\ntry { fs.accessSync('yarn.lock'); lockExists.yarn = true; } catch {}\ntry { fs.accessSync('pnpm-lock.yaml'); lockExists.pnpm = true; } catch {}\n\nconsole.log('=== Lock File Status ===');\nObject.entries(lockExists).forEach(([mgr, exists]) => {\n  console.log(`  ${mgr}: ${exists ? 'PRESENT' : 'missing'}`);\n});\n\nconst activeLocks = Object.entries(lockExists).filter(([, v]) => v);\nif (activeLocks.length > 1) {\n  console.log('\\nWARNING: Multiple lock files detected! This causes inconsistent installs.');\n}\nif (activeLocks.length === 0) {\n  console.log('\\nWARNING: No lock file found! Dependencies are not reproducible.');\n}\n\n// Check engines\nif (pkg.engines) {\n  console.log('\\n=== Required Engines ===');\n  Object.entries(pkg.engines).forEach(([e, v]) => console.log(`  ${e}: ${v}`));\n}\n```\n> summary_prompt: \"Report lock file health and any warnings about package management\"\n\n---\n\n## File Content Parsing\n\n### Parse and summarize a large markdown file\n\n```javascript\nconst fs = require('fs');\nconst content = fs.readFileSync('CHANGELOG.md', 'utf8');\nconst lines = content.split('\\n');\n\nconst sections = [];\nlet currentSection = null;\n\nfor (const line of lines) {\n  if (line.startsWith('## ')) {\n    if (currentSection) sections.push(currentSection);\n    currentSection = { title: line.replace('## ', ''), items: 0, breaking: 0 };\n  } else if (currentSection && line.startsWith('- ')) {\n    currentSection.items++;\n    if (line.toLowerCase().includes('breaking') || line.toLowerCase().includes('BREAKING')) {\n      currentSection.breaking++;\n    }\n  }\n}\nif (currentSection) sections.push(currentSection);\n\nconsole.log(`Total versions: ${sections.length}\\n`);\nconsole.log('=== Recent Versions ===');\nsections.slice(0, 10).forEach(s => {\n  const warn = s.breaking > 0 ? ` [${s.breaking} BREAKING]` : '';\n  console.log(`  ${s.title}: ${s.items} changes${warn}`);\n});\n\nconst totalBreaking = sections.reduce((sum, s) => sum + s.breaking, 0);\nif (totalBreaking > 0) {\n  console.log(`\\nTotal breaking changes across all versions: ${totalBreaking}`);\n}\n```\n> summary_prompt: \"Summarize recent releases, highlight breaking changes, report release cadence\"\n\n---\n\n## Test Output Parsing\n\n### Run tests and extract failures\n\n```javascript\nconst { execSync } = require('child_process');\n\nlet output;\ntry {\n  output = execSync('npx jest --json 2>/dev/null', { encoding: 'utf8', maxBuffer: 50 * 1024 * 1024 });\n} catch (e) {\n  output = e.stdout || '';\n}\n\ntry {\n  const results = JSON.parse(output);\n  console.log(`=== Test Results ===`);\n  console.log(`Suites: ${results.numPassedTestSuites} passed, ${results.numFailedTestSuites} failed`);\n  console.log(`Tests:  ${results.numPassedTests} passed, ${results.numFailedTests} failed`);\n  console.log(`Time:   ${(results.testResults || []).reduce((s, t) => s + (t.endTime - t.startTime), 0)}ms`);\n\n  const failures = (results.testResults || []).filter(t => t.status === 'failed');\n  if (failures.length > 0) {\n    console.log('\\n=== Failed Tests ===');\n    failures.forEach(suite => {\n      console.log(`\\nSuite: ${suite.name}`);\n      (suite.assertionResults || [])\n        .filter(a => a.status === 'failed')\n        .forEach(a => {\n          console.log(`  FAIL: ${a.ancestorTitles.join(' > ')} > ${a.title}`);\n          console.log(`    ${(a.failureMessages || []).join('\\n    ').slice(0, 200)}`);\n        });\n    });\n  }\n} catch {\n  console.log('Could not parse JSON output. Raw output:');\n  console.log(output.slice(0, 5000));\n}\n```\n> summary_prompt: \"Report test pass/fail counts, list each failing test with its error message\"\n> timeout_ms: 60000\n","isInternal":false,"tokens":2433,"sizeBytes":9598},{"name":"patterns-python.md","path":"skills/context-mode/references/patterns-python.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/skills/context-mode/references/patterns-python.md","title":"References Skill","category":"anthropic-skill","format":"markdown","content":"# Python Patterns for execute\n\nPractical patterns for using `execute` with `language: python`.\nAll examples use Python standard library only (no pip installs required).\n\n---\n\n## Data Processing with json Module\n\n### Analyze a large JSON dataset\n\n```python\nimport json\n\nwith open('data/users.json') as f:\n    users = json.load(f)\n\nprint(f\"Total users: {len(users)}\")\n\n# Group by status\nfrom collections import Counter\nstatuses = Counter(u.get('status', 'unknown') for u in users)\nprint(\"\\n=== Users by Status ===\")\nfor status, count in statuses.most_common():\n    print(f\"  {status}: {count}\")\n\n# Find anomalies\ninactive_with_recent = [\n    u for u in users\n    if u.get('status') == 'inactive' and u.get('last_login', '') > '2025-01-01'\n]\nif inactive_with_recent:\n    print(f\"\\n=== Anomaly: {len(inactive_with_recent)} inactive users with recent logins ===\")\n    for u in inactive_with_recent[:10]:\n        print(f\"  {u['email']} - last login: {u['last_login']}\")\n\n# Field completeness\nfields = ['name', 'email', 'phone', 'address']\nprint(\"\\n=== Field Completeness ===\")\nfor field in fields:\n    filled = sum(1 for u in users if u.get(field))\n    pct = (filled / len(users)) * 100 if users else 0\n    print(f\"  {field}: {filled}/{len(users)} ({pct:.1f}%)\")\n```\n> summary_prompt: \"Report user distribution, data quality issues, and any anomalies found\"\n\n### Merge and compare two JSON configs\n\n```python\nimport json\n\nwith open('config.default.json') as f:\n    defaults = json.load(f)\nwith open('config.local.json') as f:\n    local = json.load(f)\n\ndef compare(d1, d2, path=\"\"):\n    diffs = []\n    all_keys = set(list(d1.keys()) + list(d2.keys()))\n    for key in sorted(all_keys):\n        full_path = f\"{path}.{key}\" if path else key\n        if key not in d1:\n            diffs.append(f\"  + {full_path} = {json.dumps(d2[key])}\")\n        elif key not in d2:\n            diffs.append(f\"  - {full_path} = {json.dumps(d1[key])}\")\n        elif isinstance(d1[key], dict) and isinstance(d2[key], dict):\n            diffs.extend(compare(d1[key], d2[key], full_path))\n        elif d1[key] != d2[key]:\n            diffs.append(f\"  ~ {full_path}: {json.dumps(d1[key])} -> {json.dumps(d2[key])}\")\n    return diffs\n\ndiffs = compare(defaults, local)\nprint(f\"Config differences: {len(diffs)}\")\nif diffs:\n    print(\"\\n=== Changes (local overrides) ===\")\n    for d in diffs:\n        print(d)\nelse:\n    print(\"No differences found — local matches defaults.\")\n```\n> summary_prompt: \"List all local config overrides and flag any potentially dangerous changes\"\n\n---\n\n## CSV / Log File Analysis\n\n### Analyze a CSV file\n\n```python\nimport csv\nfrom collections import Counter, defaultdict\nfrom datetime import datetime\n\nwith open('data/transactions.csv') as f:\n    reader = csv.DictReader(f)\n    rows = list(reader)\n\nprint(f\"Total records: {len(rows)}\")\nprint(f\"Columns: {', '.join(rows[0].keys()) if rows else 'none'}\")\n\n# Summary statistics for numeric column\namounts = [float(r['amount']) for r in rows if r.get('amount')]\nif amounts:\n    print(f\"\\n=== Amount Statistics ===\")\n    print(f\"  Min:    ${min(amounts):,.2f}\")\n    print(f\"  Max:    ${max(amounts):,.2f}\")\n    print(f\"  Mean:   ${sum(amounts)/len(amounts):,.2f}\")\n    print(f\"  Median: ${sorted(amounts)[len(amounts)//2]:,.2f}\")\n    print(f\"  Total:  ${sum(amounts):,.2f}\")\n\n# Group by category\nif 'category' in rows[0]:\n    by_cat = defaultdict(list)\n    for r in rows:\n        by_cat[r['category']].append(float(r.get('amount', 0)))\n    print(\"\\n=== By Category ===\")\n    for cat, vals in sorted(by_cat.items(), key=lambda x: -sum(x[1])):\n        print(f\"  {cat}: {len(vals)} txns, total ${sum(vals):,.2f}\")\n```\n> summary_prompt: \"Summarize transaction patterns, highlight outliers, report category distribution\"\n\n### Parse application logs\n\n```python\nimport re\nfrom collections import Counter\nfrom datetime import datetime\n\nerror_pattern = re.compile(r'\\[(\\d{4}-\\d{2}-\\d{2} \\d{2}:\\d{2}:\\d{2})\\] (\\w+): (.+)')\n\nlevels = Counter()\nerrors_by_type = Counter()\nhourly = Counter()\n\nwith open('app.log') as f:\n    for line in f:\n        match = error_pattern.match(line.strip())\n        if match:\n            timestamp, level, message = match.groups()\n            levels[level] += 1\n            hour = timestamp[:13]\n            hourly[hour] += 1\n            if level in ('ERROR', 'FATAL'):\n                # Extract error class\n                err_type = message.split(':')[0].strip()\n                errors_by_type[err_type] += 1\n\nprint(\"=== Log Level Distribution ===\")\nfor level, count in levels.most_common():\n    print(f\"  {level}: {count}\")\n\nprint(\"\\n=== Top Error Types ===\")\nfor err, count in errors_by_type.most_common(10):\n    print(f\"  {err}: {count}\")\n\nprint(\"\\n=== Hourly Activity (last 24h) ===\")\nfor hour, count in sorted(hourly.items())[-24:]:\n    bar = '#' * min(count // 10, 50)\n    print(f\"  {hour}: {count:>5} {bar}\")\n```\n> summary_prompt: \"Report error rates, identify the most common failures, and note any traffic spikes\"\n\n---\n\n## Text Extraction and Summarization\n\n### Extract TODOs and FIXMEs from codebase\n\n```python\nimport os\nimport re\n\npattern = re.compile(r'(TODO|FIXME|HACK|XXX|WARN)[:\\s](.+)', re.IGNORECASE)\nresults = []\n\nfor root, dirs, files in os.walk('src'):\n    # Skip node_modules and hidden dirs\n    dirs[:] = [d for d in dirs if not d.startswith('.') and d != 'node_modules']\n    for fname in files:\n        if fname.endswith(('.ts', '.tsx', '.js', '.jsx', '.py')):\n            filepath = os.path.join(root, fname)\n            with open(filepath) as f:\n                for i, line in enumerate(f, 1):\n                    match = pattern.search(line)\n                    if match:\n                        results.append({\n                            'file': filepath,\n                            'line': i,\n                            'type': match.group(1).upper(),\n                            'text': match.group(2).strip()\n                        })\n\nfrom collections import Counter\nby_type = Counter(r['type'] for r in results)\n\nprint(f\"Total annotations found: {len(results)}\\n\")\nprint(\"=== By Type ===\")\nfor t, c in by_type.most_common():\n    print(f\"  {t}: {c}\")\n\nprint(\"\\n=== All Items ===\")\nfor r in results:\n    print(f\"  [{r['type']}] {r['file']}:{r['line']} — {r['text'][:100]}\")\n```\n> summary_prompt: \"Categorize TODOs by urgency, group by file area, suggest which to address first\"\n\n### Summarize a large text/markdown file\n\n```python\nwith open('ARCHITECTURE.md') as f:\n    content = f.read()\n\nlines = content.split('\\n')\nprint(f\"Total lines: {len(lines)}\")\nprint(f\"Total words: {len(content.split())}\")\n\n# Extract structure\nheadings = [(i+1, line) for i, line in enumerate(lines) if line.startswith('#')]\nprint(f\"Sections: {len(headings)}\\n\")\n\nprint(\"=== Document Structure ===\")\nfor line_num, heading in headings:\n    level = len(heading) - len(heading.lstrip('#'))\n    indent = '  ' * (level - 1)\n    print(f\"  {indent}{heading.strip()} (line {line_num})\")\n\n# Extract code blocks\nimport re\ncode_blocks = re.findall(r'```(\\w+)?', content)\nif code_blocks:\n    from collections import Counter\n    langs = Counter(b for b in code_blocks if b)\n    print(f\"\\n=== Code Blocks: {len(code_blocks)} total ===\")\n    for lang, count in langs.most_common():\n        print(f\"  {lang}: {count}\")\n\n# Print first 50 lines for content preview\nprint(\"\\n=== Content Preview (first 50 lines) ===\")\nfor line in lines[:50]:\n    print(line)\n```\n> summary_prompt: \"Summarize the document structure, key architectural decisions, and main components described\"\n\n---\n\n## File Comparison\n\n### Compare two source files\n\n```python\nimport difflib\n\nwith open('src/auth/login.ts') as f:\n    old_lines = f.readlines()\nwith open('src/auth/login.new.ts') as f:\n    new_lines = f.readlines()\n\ndiff = list(difflib.unified_diff(old_lines, new_lines, fromfile='login.ts', tofile='login.new.ts', lineterm=''))\n\nadditions = sum(1 for l in diff if l.startswith('+') and not l.startswith('+++'))\ndeletions = sum(1 for l in diff if l.startswith('-') and not l.startswith('---'))\n\nprint(f\"Changes: +{additions} -{deletions}\\n\")\n\nif diff:\n    print(\"=== Diff ===\")\n    for line in diff:\n        print(line)\nelse:\n    print(\"Files are identical.\")\n```\n> summary_prompt: \"Describe the functional changes between the old and new versions\"\n\n### Find duplicate content across files\n\n```python\nimport os\nimport hashlib\nfrom collections import defaultdict\n\nfile_hashes = defaultdict(list)\n\nfor root, dirs, files in os.walk('src'):\n    dirs[:] = [d for d in dirs if not d.startswith('.') and d != 'node_modules']\n    for fname in files:\n        if fname.endswith(('.ts', '.tsx', '.js', '.jsx')):\n            filepath = os.path.join(root, fname)\n            with open(filepath, 'rb') as f:\n                content_hash = hashlib.md5(f.read()).hexdigest()\n            file_hashes[content_hash].append(filepath)\n\nduplicates = {h: files for h, files in file_hashes.items() if len(files) > 1}\n\nif duplicates:\n    print(f\"Found {len(duplicates)} sets of duplicate files:\\n\")\n    for h, files in duplicates.items():\n        print(f\"  Hash: {h[:8]}...\")\n        for f in files:\n            print(f\"    {f}\")\n        print()\nelse:\n    print(\"No duplicate files found.\")\n```\n> summary_prompt: \"List all duplicate files and suggest which copies to remove\"\n","isInternal":false,"tokens":2417,"sizeBytes":9282},{"name":"patterns-shell.md","path":"skills/context-mode/references/patterns-shell.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/skills/context-mode/references/patterns-shell.md","title":"References Skill","category":"anthropic-skill","format":"markdown","content":"# Shell Patterns for execute\n\nPractical patterns for using `execute` with `language: shell`.\nBest for piping, filtering, and leveraging native OS tools.\n\n---\n\n## Build Output Filtering\n\n### Capture build errors only\n\n```shell\nnpm run build 2>&1 | tee /tmp/build-output.txt\nEXIT_CODE=${PIPESTATUS[0]}\n\necho \"=== Build Result ===\"\necho \"Exit code: $EXIT_CODE\"\n\nif [ \"$EXIT_CODE\" -ne 0 ]; then\n  echo \"\"\n  echo \"=== Errors ===\"\n  grep -iE '(error|failed|FAIL)' /tmp/build-output.txt | head -50\n  echo \"\"\n  echo \"=== Warnings ===\"\n  grep -iE '(warning|warn)' /tmp/build-output.txt | head -20\nelse\n  echo \"Build succeeded.\"\n  echo \"\"\n  echo \"=== Warnings (if any) ===\"\n  grep -iE '(warning|warn)' /tmp/build-output.txt | head -10\nfi\n\necho \"\"\necho \"=== Output Size ===\"\nwc -l < /tmp/build-output.txt | xargs -I{} echo \"{} total lines of output\"\nrm -f /tmp/build-output.txt\n```\n> summary_prompt: \"Report build success/failure, list all errors with file paths, and count warnings\"\n> timeout_ms: 120000\n\n### TypeScript compilation check\n\n```shell\nnpx tsc --noEmit 2>&1 | tee /tmp/tsc-output.txt\nEXIT_CODE=${PIPESTATUS[0]}\n\necho \"=== TypeScript Check ===\"\necho \"Exit code: $EXIT_CODE\"\n\nTOTAL_ERRORS=$(grep -c 'error TS' /tmp/tsc-output.txt 2>/dev/null || echo 0)\necho \"Total errors: $TOTAL_ERRORS\"\n\nif [ \"$TOTAL_ERRORS\" -gt 0 ]; then\n  echo \"\"\n  echo \"=== Errors by Code ===\"\n  grep -oP 'error TS\\d+' /tmp/tsc-output.txt | sort | uniq -c | sort -rn | head -20\n\n  echo \"\"\n  echo \"=== Errors by File ===\"\n  grep 'error TS' /tmp/tsc-output.txt | cut -d'(' -f1 | sort | uniq -c | sort -rn | head -20\n\n  echo \"\"\n  echo \"=== First 30 Errors ===\"\n  grep 'error TS' /tmp/tsc-output.txt | head -30\nfi\n\nrm -f /tmp/tsc-output.txt\n```\n> summary_prompt: \"Report type error count, most common error codes, and most affected files\"\n> timeout_ms: 60000\n\n---\n\n## Test Result Summarization\n\n### Jest test summary\n\n```shell\nnpx jest --verbose 2>&1 | tee /tmp/test-output.txt\nEXIT_CODE=${PIPESTATUS[0]}\n\necho \"\"\necho \"=== Test Summary ===\"\necho \"Exit code: $EXIT_CODE\"\n\n# Extract summary line\ngrep -E '(Tests:|Test Suites:|Snapshots:|Time:)' /tmp/test-output.txt\n\necho \"\"\necho \"=== Failed Tests ===\"\ngrep -A 2 'FAIL ' /tmp/test-output.txt | head -40\n\necho \"\"\necho \"=== Slow Tests (if reported) ===\"\ngrep -i 'slow' /tmp/test-output.txt | head -10\n\nrm -f /tmp/test-output.txt\n```\n> summary_prompt: \"Report pass/fail ratio, list all failing test names with suite, note any slow tests\"\n> timeout_ms: 120000\n\n### Pytest summary\n\n```shell\npython -m pytest --tb=short -q 2>&1 | tee /tmp/pytest-output.txt\nEXIT_CODE=${PIPESTATUS[0]}\n\necho \"\"\necho \"=== Pytest Summary ===\"\necho \"Exit code: $EXIT_CODE\"\n\n# Last 20 lines usually contain the summary\ntail -20 /tmp/pytest-output.txt\n\necho \"\"\necho \"=== Failures ===\"\ngrep -E '(FAILED|ERROR)' /tmp/pytest-output.txt | head -30\n\nrm -f /tmp/pytest-output.txt\n```\n> summary_prompt: \"Report test results, list all failures with file and test name\"\n> timeout_ms: 120000\n\n---\n\n## Log File Analysis\n\n### Filter application logs by severity\n\n```shell\nLOG_FILE=\"${1:-/var/log/app.log}\"\n\necho \"=== Log File: $LOG_FILE ===\"\necho \"Total lines: $(wc -l < \"$LOG_FILE\")\"\necho \"\"\n\necho \"=== Level Distribution ===\"\ngrep -oE '\\b(DEBUG|INFO|WARN|ERROR|FATAL)\\b' \"$LOG_FILE\" | sort | uniq -c | sort -rn\n\necho \"\"\necho \"=== Last 20 Errors ===\"\ngrep -i 'ERROR\\|FATAL' \"$LOG_FILE\" | tail -20\n\necho \"\"\necho \"=== Error Timeline (hourly) ===\"\ngrep -i 'ERROR' \"$LOG_FILE\" | grep -oE '\\d{4}-\\d{2}-\\d{2} \\d{2}' | sort | uniq -c | tail -24\n```\n> summary_prompt: \"Report error frequency, identify patterns, and note any error spikes\"\n\n### Analyze access logs\n\n```shell\nLOG_FILE=\"${1:-/var/log/access.log}\"\n\necho \"=== Access Log Summary ===\"\necho \"Total requests: $(wc -l < \"$LOG_FILE\")\"\n\necho \"\"\necho \"=== HTTP Status Codes ===\"\nawk '{print $9}' \"$LOG_FILE\" | sort | uniq -c | sort -rn | head -10\n\necho \"\"\necho \"=== Top 20 Paths ===\"\nawk '{print $7}' \"$LOG_FILE\" | sort | uniq -c | sort -rn | head -20\n\necho \"\"\necho \"=== Top 10 IPs ===\"\nawk '{print $1}' \"$LOG_FILE\" | sort | uniq -c | sort -rn | head -10\n\necho \"\"\necho \"=== 5xx Errors ===\"\nawk '$9 ~ /^5/' \"$LOG_FILE\" | tail -20\n\necho \"\"\necho \"=== Requests per Hour ===\"\nawk '{print $4}' \"$LOG_FILE\" | cut -d: -f1-2 | sort | uniq -c | tail -24\n```\n> summary_prompt: \"Report traffic patterns, error rates, most hit endpoints, and suspicious IPs\"\n\n---\n\n## Directory Size and Structure Analysis\n\n### Project structure overview\n\n```shell\necho \"=== Directory Structure ===\"\nfind . -maxdepth 3 -type d \\\n  ! -path '*/node_modules/*' \\\n  ! -path '*/.git/*' \\\n  ! -path '*/dist/*' \\\n  ! -path '*/.next/*' \\\n  ! -path '*/__pycache__/*' \\\n  | sort\n\necho \"\"\necho \"=== File Type Distribution ===\"\nfind . -type f \\\n  ! -path '*/node_modules/*' \\\n  ! -path '*/.git/*' \\\n  ! -path '*/dist/*' \\\n  | sed 's/.*\\.//' | sort | uniq -c | sort -rn | head -20\n\necho \"\"\necho \"=== Largest Files (top 20) ===\"\nfind . -type f \\\n  ! -path '*/node_modules/*' \\\n  ! -path '*/.git/*' \\\n  -exec ls -la {} \\; | sort -k5 -rn | head -20 | awk '{print $5, $9}'\n\necho \"\"\necho \"=== Directory Sizes ===\"\ndu -sh */ 2>/dev/null | sort -rh | head -15\n```\n> summary_prompt: \"Describe the project structure, identify large files that may need attention, report file type distribution\"\n\n### Disk usage investigation\n\n```shell\necho \"=== Top-Level Disk Usage ===\"\ndu -sh */ 2>/dev/null | sort -rh\n\necho \"\"\necho \"=== node_modules Size ===\"\nif [ -d \"node_modules\" ]; then\n  du -sh node_modules\n  echo \"\"\n  echo \"=== Largest node_modules packages ===\"\n  du -sh node_modules/*/ 2>/dev/null | sort -rh | head -20\nelse\n  echo \"No node_modules directory\"\nfi\n\necho \"\"\necho \"=== Build Artifacts ===\"\nfor dir in dist build .next out .cache; do\n  if [ -d \"$dir\" ]; then\n    echo \"  $dir: $(du -sh \"$dir\" | cut -f1)\"\n  fi\ndone\n\necho \"\"\necho \"=== Git Objects Size ===\"\nif [ -d \".git\" ]; then\n  du -sh .git\nfi\n```\n> summary_prompt: \"Report total project size, largest contributors, and recommend cleanup targets\"\n\n---\n\n## Git Analysis\n\n### Commit activity analysis\n\n```shell\necho \"=== Recent Commits (last 30 days) ===\"\ngit log --since=\"30 days ago\" --oneline | wc -l | xargs -I{} echo \"{} commits in last 30 days\"\n\necho \"\"\necho \"=== Commits by Author ===\"\ngit shortlog -sn --since=\"30 days ago\" | head -15\n\necho \"\"\necho \"=== Most Changed Files (last 30 days) ===\"\ngit log --since=\"30 days ago\" --pretty=format: --name-only | sort | uniq -c | sort -rn | head -20\n\necho \"\"\necho \"=== Branches ===\"\necho \"Local: $(git branch | wc -l | xargs)\"\necho \"Remote: $(git branch -r | wc -l | xargs)\"\n\necho \"\"\necho \"=== Stale Branches (merged, excluding main/master) ===\"\ngit branch --merged main 2>/dev/null | grep -v 'main\\|master\\|\\*' | head -10\n```\n> summary_prompt: \"Report development velocity, active contributors, hotspot files, and cleanup opportunities\"\n","isInternal":false,"tokens":2067,"sizeBytes":6814},{"name":"SKILL.md","path":"skills/context-mode/SKILL.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/skills/context-mode/SKILL.md","title":"context-mode","category":"anthropic-skill","format":"markdown","content":"---\nname: context-mode\ndescription: |\n  Use context-mode tools (ctx_execute, ctx_execute_file) instead of Bash/cat when processing\n  large outputs. Triggers: \"analyze logs\", \"summarize output\", \"process data\",\n  \"parse JSON\", \"filter results\", \"extract errors\", \"check build output\",\n  \"analyze dependencies\", \"process API response\", \"large file analysis\",\n  \"page snapshot\", \"browser snapshot\", \"DOM structure\", \"inspect page\",\n  \"accessibility tree\", \"Playwright snapshot\",\n  \"run tests\", \"test output\", \"coverage report\", \"git log\", \"recent commits\",\n  \"diff between branches\", \"list containers\", \"pod status\", \"disk usage\",\n  \"fetch docs\", \"API reference\", \"index documentation\",\n  \"call API\", \"check response\", \"query results\",\n  \"find TODOs\", \"count lines\", \"codebase statistics\", \"security audit\",\n  \"outdated packages\", \"dependency tree\", \"cloud resources\", \"CI/CD output\".\n  Also triggers on ANY MCP tool output that may exceed 20 lines.\n  Subagent routing is handled automatically via PreToolUse hook.\n---\n\n# Context Mode: Default for All Large Output\n\n## MANDATORY RULE\n\n<context_mode_logic>\n  <mandatory_rule>\n    Default to context-mode for ALL commands. Only use Bash for guaranteed-small-output operations.\n  </mandatory_rule>\n</context_mode_logic>\n\nBash whitelist (safe to run directly):\n- **File mutations**: `mkdir`, `mv`, `cp`, `rm`, `touch`, `chmod`\n- **Git writes**: `git add`, `git commit`, `git push`, `git checkout`, `git branch`, `git merge`\n- **Navigation**: `cd`, `pwd`, `which`\n- **Process control**: `kill`, `pkill`\n- **Package management**: `npm install`, `npm publish`, `pip install`\n- **Simple output**: `echo`, `printf`\n\n**Everything else → `ctx_execute` or `ctx_execute_file`.** Any command that reads, queries, fetches, lists, logs, tests, builds, diffs, inspects, or calls an external service. This includes ALL CLIs (gh, aws, kubectl, docker, terraform, wrangler, fly, heroku, gcloud, etc.) — there are thousands and we cannot list them all.\n\n**When uncertain, use context-mode.** Every KB of unnecessary context reduces the quality and speed of the entire session.\n\n## Decision Tree\n\n```\nAbout to run a command / read a file / call an API?\n│\n├── Command is on the Bash whitelist (file mutations, git writes, navigation, echo)?\n│   └── Use Bash\n│\n├── Output MIGHT be large or you're UNSURE?\n│   └── Use context-mode ctx_execute or ctx_execute_file\n│\n├── Fetching web documentation or HTML page?\n│   └── Use ctx_fetch_and_index → ctx_search\n│\n├── Using Playwright (navigate, snapshot, console, network)?\n│   └── ALWAYS use filename parameter to save to file, then:\n│       browser_snapshot(filename) → ctx_index(path) or ctx_execute_file(path)\n│       browser_console_messages(filename) → ctx_execute_file(path)\n│       browser_network_requests(filename) → ctx_execute_file(path)\n│       ⚠ browser_navigate returns a snapshot automatically — ignore it,\n│         use browser_snapshot(filename) for any inspection.\n│       ⚠ Playwright MCP uses a SINGLE browser instance — NOT parallel-safe.\n│         For parallel browser ops, use agent-browser via execute instead.\n│\n├── Using agent-browser (parallel-safe browser automation)?\n│   └── Run via execute (shell) — each call gets its own subprocess:\n│       execute(\"agent-browser open example.com && agent-browser snapshot -i -c\")\n│       ✓ Supports sessions for isolated browser instances\n│       ✓ Safe for parallel subagent execution\n│       ✓ Lightweight accessibility tree with ref-based interaction\n│\n├── Processing output from another MCP tool (Context7, GitHub API, etc.)?\n│   ├── Output already in context from a previous tool call?\n│   │   └── Use it directly. Do NOT re-index with ctx_index(content: ...).\n│   ├── Need to search the output multiple times?\n│   │   └── Save to file via ctx_execute, then ctx_index(path) → ctx_search\n│   └── One-shot extraction?\n│       └── Save to file via ctx_execute, then ctx_execute_file(path)\n│\n└── Reading a file to analyze/summarize (not edit)?\n    └── Use ctx_execute_file (file loads into FILE_CONTENT, not context)\n```\n\n## When to Use Each Tool\n\n| Situation | Tool | Example |\n|-----------|------|---------|\n| Hit an API endpoint | `ctx_execute` | `fetch('http://localhost:3000/api/orders')` |\n| Run CLI that returns data | `ctx_execute` | `gh pr list`, `aws s3 ls`, `kubectl get pods` |\n| Run tests | `ctx_execute` | `npm test`, `pytest`, `go test ./...` |\n| Git operations | `ctx_execute` | `git log --oneline -50`, `git diff HEAD~5` |\n| Docker/K8s inspection | `ctx_execute` | `docker stats --no-stream`, `kubectl describe pod` |\n| Read a log file | `ctx_execute_file` | Parse access.log, error.log, build output |\n| Read a data file | `ctx_execute_file` | Analyze CSV, JSON, YAML, XML |\n| Read source code to analyze | `ctx_execute_file` | Count functions, find patterns, extract metrics |\n| Fetch web docs | `ctx_fetch_and_index` | Index React/Next.js/Zod docs, then search |\n| Playwright snapshot | `browser_snapshot(filename)` → `ctx_index(path)` → `ctx_search` | Save to file, index server-side, query |\n| Playwright snapshot (one-shot) | `browser_snapshot(filename)` → `ctx_execute_file(path)` | Save to file, extract in sandbox |\n| Playwright console/network | `browser_*(filename)` → `ctx_execute_file(path)` | Save to file, analyze in sandbox |\n| MCP output (already in context) | Use directly | Don't re-index — it's already loaded |\n| MCP output (need multi-query) | `ctx_execute` to save → `ctx_index(path)` → `ctx_search` | Save to file first, index server-side |\n| Wipe indexed KB content | `ctx_purge(confirm: true)` | Permanently deletes all indexed content |\n\n## Automatic Triggers\n\nUse context-mode for ANY of these, without being asked:\n\n- **API debugging**: \"hit this endpoint\", \"call the API\", \"check the response\", \"find the bug in the response\"\n- **Log analysis**: \"check the logs\", \"what errors\", \"read access.log\", \"debug the 500s\"\n- **Test runs**: \"run the tests\", \"check if tests pass\", \"test suite output\"\n- **Git history**: \"show recent commits\", \"git log\", \"what changed\", \"diff between branches\"\n- **Data inspection**: \"look at the CSV\", \"parse the JSON\", \"analyze the config\"\n- **Infrastructure**: \"list containers\", \"check pods\", \"S3 buckets\", \"show running services\"\n- **Dependency audit**: \"check dependencies\", \"outdated packages\", \"security audit\"\n- **Build output**: \"build the project\", \"check for warnings\", \"compile errors\"\n- **Code metrics**: \"count lines\", \"find TODOs\", \"function count\", \"analyze codebase\"\n- **Web docs lookup**: \"look up the docs\", \"check the API reference\", \"find examples\"\n\n## Language Selection\n\n| Situation | Language | Why |\n|-----------|----------|-----|\n| HTTP/API calls, JSON | `javascript` | Native fetch, JSON.parse, async/await |\n| Data analysis, CSV, stats | `python` | csv, statistics, collections, re |\n| Shell commands with pipes | `shell` | grep, awk, jq, native tools |\n| File pattern matching | `shell` | find, wc, sort, uniq |\n\n## Search Query Strategy\n\n- BM25 uses **OR semantics** — results matching more terms rank higher automatically\n- Use 2-4 specific technical terms per query\n- **Always use `source` parameter** when multiple docs are indexed to avoid cross-source contamination\n  - Partial match works: `source: \"Node\"` matches `\"Node.js v22 CHANGELOG\"`\n- **Always use `queries` array** — batch ALL search questions in ONE call:\n  - `ctx_search(queries: [\"transform pipe\", \"refine superRefine\", \"coerce codec\"], source: \"Zod\")`\n  - NEVER make multiple separate ctx_search() calls — put all queries in one array\n\n## External Documentation\n\n- **Always use `ctx_fetch_and_index`** for external docs — NEVER `cat` or `ctx_execute` with local paths for packages you don't own\n- For GitHub-hosted projects, use the raw URL: `https://raw.githubusercontent.com/org/repo/main/CHANGELOG.md`\n- After indexing, use the `source` parameter in search to scope results to that specific document\n\n## Critical Rules\n\n1. **Always console.log/print your findings.** stdout is all that enters context. No output = wasted call.\n2. **Write analysis code, not just data dumps.** Don't `console.log(JSON.stringify(data))` — analyze first, print findings.\n3. **Be specific in output.** Print bug details with IDs, line numbers, exact values — not just counts.\n4. **For files you need to EDIT**: Use the normal Read tool. context-mode is for analysis, not editing.\n5. **For Bash whitelist commands only**: Use Bash for file mutations, git writes, navigation, process control, package install, and echo. Everything else goes through context-mode.\n6. **Never use `ctx_index(content: large_data)`.** Use `ctx_index(path: ...)` to read files server-side. The `content` parameter sends data through context as a tool parameter — use it only for small inline text.\n7. **Always use `filename` parameter** on Playwright tools (`browser_snapshot`, `browser_console_messages`, `browser_network_requests`). Without it, the full output enters context.\n8. **Don't re-index data already in context.** If an MCP tool returned data in a previous response, it's already loaded — use it directly or save to file first.\n\n## Sandboxed Data Workflow\n\n<sandboxed_data_workflow>\n  <critical_rule>\n    When using tools that support saving to a file: ALWAYS use the 'filename' parameter.\n    NEVER return large raw datasets directly to context.\n  </critical_rule>\n  <workflow>\n    LargeDataTool(filename: \"path\") → mcp__context-mode__ctx_index(path: \"path\") → ctx_search()\n  </workflow>\n</sandboxed_data_workflow>\n\nThis is the universal pattern for context preservation regardless of\nthe source tool (Playwright, GitHub API, AWS CLI, etc.).\n\n## Examples\n\n### Debug an API endpoint\n```javascript\nconst resp = await fetch('http://localhost:3000/api/orders');\nconst { orders } = await resp.json();\n\nconst bugs = [];\nconst negQty = orders.filter(o => o.quantity < 0);\nif (negQty.length) bugs.push(`Negative qty: ${negQty.map(o => o.id).join(', ')}`);\n\nconst nullFields = orders.filter(o => !o.product || !o.customer);\nif (nullFields.length) bugs.push(`Null fields: ${nullFields.map(o => o.id).join(', ')}`);\n\nconsole.log(`${orders.length} orders, ${bugs.length} bugs found:`);\nbugs.forEach(b => console.log(`- ${b}`));\n```\n\n### Analyze test output\n```shell\nnpm test 2>&1\necho \"EXIT=$?\"\n```\n\n### Check GitHub PRs\n```shell\ngh pr list --json number,title,state,reviewDecision --jq '.[] | \"\\(.number) [\\(.state)] \\(.title) — \\(.reviewDecision // \"no review\")\"'\n```\n\n### Read and analyze a large file\n```python\n# FILE_CONTENT is pre-loaded by ctx_execute_file\nimport json\ndata = json.loads(FILE_CONTENT)\nprint(f\"Records: {len(data)}\")\n# ... analyze and print findings\n```\n\n## Browser & Playwright Integration\n\n**When a task involves Playwright snapshots, screenshots, or page inspection, ALWAYS route through file → sandbox.**\n\nPlaywright `browser_snapshot` returns 10K–135K tokens of accessibility tree data. Calling it without `filename` dumps all of that into context. Passing the output to `ctx_index(content: ...)` sends it into context a SECOND time as a parameter. Both are wrong.\n\n**The key insight**: `browser_snapshot` has a `filename` parameter that saves to file instead of returning to context. `ctx_index` has a `path` parameter that reads files server-side. `ctx_execute_file` processes files in a sandbox. **None of these touch context.**\n\n### Workflow A: Snapshot → File → Index → Search (multiple queries)\n\n```\nStep 1: browser_snapshot(filename: \"/tmp/playwright-snapshot.md\")\n        → saves to file, returns ~50B confirmation (NOT 135K tokens)\n\nStep 2: ctx_index(path: \"/tmp/playwright-snapshot.md\", source: \"Playwright snapshot\")\n        → reads file SERVER-SIDE, indexes into FTS5, returns ~80B confirmation\n\nStep 3: ctx_search(queries: [\"login form email password\"], source: \"Playwright\")\n        → returns only matching chunks (~300B)\n```\n\n**Total context: ~430B** instead of 270K tokens. Real 99% savings.\n\n### Workflow B: Snapshot → File → Execute File (one-shot extraction)\n\n```\nStep 1: browser_snapshot(filename: \"/tmp/playwright-snapshot.md\")\n        → saves to file, returns ~50B confirmation\n\nStep 2: ctx_execute_file(path: \"/tmp/playwright-snapshot.md\", language: \"javascript\", code: \"\n          const links = [...FILE_CONTENT.matchAll(/- link \\\"([^\\\"]+)\\\"/g)].map(m => m[1]);\n          const buttons = [...FILE_CONTENT.matchAll(/- button \\\"([^\\\"]+)\\\"/g)].map(m => m[1]);\n          const inputs = [...FILE_CONTENT.matchAll(/- textbox|- checkbox|- radio/g)];\n          console.log('Links:', links.length, '| Buttons:', buttons.length, '| Inputs:', inputs.length);\n          console.log('Navigation:', links.slice(0, 10).join(', '));\n        \")\n        → processes in sandbox, returns ~200B summary\n```\n\n**Total context: ~250B** instead of 135K tokens.\n\n### Workflow C: Console & Network (save to file if large)\n\n```\nbrowser_console_messages(level: \"error\", filename: \"/tmp/console.md\")\n→ ctx_execute_file(path: \"/tmp/console.md\", ...) or ctx_index(path: \"/tmp/console.md\", ...)\n\nbrowser_network_requests(includeStatic: false, filename: \"/tmp/network.md\")\n→ ctx_execute_file(path: \"/tmp/network.md\", ...) or ctx_index(path: \"/tmp/network.md\", ...)\n```\n\n### CRITICAL: Why `filename` + `path` is mandatory\n\n| Approach | Context cost | Correct? |\n|----------|-------------|----------|\n| `browser_snapshot()` → raw into context | **135K tokens** | NO |\n| `browser_snapshot()` → `ctx_index(content: raw)` | **270K tokens** (doubled!) | NO |\n| `browser_snapshot(filename)` → `ctx_index(path)` → `ctx_search` | **~430B** | YES |\n| `browser_snapshot(filename)` → `ctx_execute_file(path)` | **~250B** | YES |\n\n### Key Rule\n\n> **ALWAYS use `filename` parameter when calling `browser_snapshot`, `browser_console_messages`, or `browser_network_requests`.**\n> Then process via `ctx_index(path: ...)` or `ctx_execute_file(path: ...)` — never `ctx_index(content: ...)`.\n>\n> Data flow: **Playwright → file → server-side read → context**. Never: **Playwright → context → ctx_index(content) → context again**.\n\n## Subagent Usage\n\nSubagents automatically receive context-mode tool routing via a PreToolUse hook. You do NOT need to manually add tool names to subagent prompts — the hook injects them. Just write natural task descriptions.\n\n## Anti-Patterns\n\n- Using `curl http://api/endpoint` via Bash → 50KB floods context. Use `ctx_execute` with fetch instead.\n- Using `cat large-file.json` via Bash → entire file in context. Use `ctx_execute_file` instead.\n- Using `gh pr list` via Bash → raw JSON in context. Use `ctx_execute` with `--jq` filter instead.\n- Piping Bash output through `| head -20` → you lose the rest. Use `ctx_execute` to analyze ALL data and print summary.\n- Narrowing `ctx_execute` output upstream of capture → `ctx_execute` captures, `ctx_search` filters; merging the layers drops data that the index never sees. See `references/anti-patterns.md` §8.\n- Running `npm test` via Bash → full test output in context. Use `ctx_execute` to capture and summarize.\n- Calling `browser_snapshot()` WITHOUT `filename` parameter → 135K tokens flood context. **Always** use `browser_snapshot(filename: \"/tmp/snap.md\")`.\n- Calling `browser_console_messages()` or `browser_network_requests()` WITHOUT `filename` → entire output floods context. **Always** use the `filename` parameter.\n- Passing ANY large data to `ctx_index(content: ...)` → data enters context as a parameter. **Always** use `ctx_index(path: ...)` to read server-side. The `content` parameter should only be used for small inline text you're composing yourself.\n- Calling an MCP tool (Context7 `query-docs`, GitHub API, etc.) then passing the response to `ctx_index(content: response)` → **doubles** context usage. The response is already in context — use it directly or save to file first.\n- Ignoring `browser_navigate` auto-snapshot → navigation response includes a full page snapshot. Don't rely on it for inspection — call `browser_snapshot(filename)` separately.\n- Expecting `ctx_stats` to reset or wipe anything → `ctx_stats` is read-only (shows stats only). Use `ctx_purge(confirm: true)` to permanently delete all indexed content.\n\n## Reference Files\n\n- [JavaScript/TypeScript Patterns](./references/patterns-javascript.md)\n- [Python Patterns](./references/patterns-python.md)\n- [Shell Patterns](./references/patterns-shell.md)\n- [Anti-Patterns & Common Mistakes](./references/anti-patterns.md)\n","frontmatter":{"name":"context-mode","description":"Use context-mode tools (ctx_execute, ctx_execute_file) instead of Bash/cat when processing\nlarge outputs. Triggers: \"analyze logs\", \"summarize output\", \"process data\",\n\"parse JSON\", \"filter results\", \"extract errors\", \"check build output\",\n\"analyze dependencies\", \"process API response\", \"large file analysis\",\n\"page snapshot\", \"browser snapshot\", \"DOM structure\", \"inspect page\",\n\"accessibility tree\", \"Playwright snapshot\",\n\"run tests\", \"test output\", \"coverage report\", \"git log\", \"recent commits\",\n\"diff between branches\", \"list containers\", \"pod status\", \"disk usage\",\n\"fetch docs\", \"API reference\", \"index documentation\",\n\"call API\", \"check response\", \"query results\",\n\"find TODOs\", \"count lines\", \"codebase statistics\", \"security audit\",\n\"outdated packages\", \"dependency tree\", \"cloud resources\", \"CI/CD output\".\nAlso triggers on ANY MCP tool output that may exceed 20 lines.\nSubagent routing is handled automatically via PreToolUse hook.\n"},"isInternal":false,"tokens":4015,"sizeBytes":16683},{"name":"SKILL.md","path":"skills/ctx-doctor/SKILL.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/skills/ctx-doctor/SKILL.md","title":"ctx-doctor","category":"anthropic-skill","format":"markdown","content":"---\nname: ctx-doctor\ndescription: |\n  Run context-mode diagnostics. Checks runtimes, hooks, FTS5,\n  plugin registration, npm and marketplace versions.\n  Trigger: /context-mode:ctx-doctor\nuser-invocable: true\n---\n\n# Context Mode Doctor\n\nRun diagnostics and display results directly in the conversation.\n\n## Instructions\n\n1. Call the `ctx_doctor` MCP tool directly. It runs all checks server-side and returns a plain-text status report.\n2. Display the results verbatim — they are already formatted with plain-text status prefixes: `[OK]` PASS, `[FAIL]` FAIL, `[WARN]` WARN. Renderer-safe (no markdown task-list syntax) for cross-client compatibility (e.g., Z.ai GLM).\n3. **Fallback** (only if MCP tool call fails): Derive the **plugin root** from this skill's base directory (go up 2 levels — remove `/skills/ctx-doctor`), then run with Bash:\n   ```\n   CLI=\"<PLUGIN_ROOT>/cli.bundle.mjs\"; [ ! -f \"$CLI\" ] && CLI=\"<PLUGIN_ROOT>/build/cli.js\"; node \"$CLI\" doctor\n   ```\n   Re-display results verbatim with the same `[OK]`/`[FAIL]`/`[WARN]` prefixes.\n","frontmatter":{"name":"ctx-doctor","description":"Run context-mode diagnostics. Checks runtimes, hooks, FTS5,\nplugin registration, npm and marketplace versions.\nTrigger: /context-mode:ctx-doctor\n","user-invocable":true},"isInternal":false,"tokens":270,"sizeBytes":1050},{"name":"SKILL.md","path":"skills/ctx-index/SKILL.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/skills/ctx-index/SKILL.md","title":"ctx-index","category":"anthropic-skill","format":"markdown","content":"---\nname: ctx-index\ndescription: |\n  Index a local file or directory into context-mode's persistent FTS5 knowledge base\n  so future ctx_search calls can retrieve focused snippets without rereading raw files.\n  Trigger: /context-mode:ctx-index\nuser-invocable: true\n---\n\n# Context Mode Index\n\nIndex local project content for later search.\n\n## Instructions\n\n1. Prefer the `ctx_index` MCP tool when it is available.\n2. Ask for a path only if the user did not provide one and the current project root is ambiguous.\n3. Use `path`, not large inline `content`, so file bytes do not enter the conversation.\n4. For repository indexing, pass conservative bounds and a clear source label:\n\n```javascript\nctx_index({\n  path: \".\",\n  source: \"project:<name>\",\n  maxDepth: 5,\n  maxFiles: 200\n})\n```\n\n5. If MCP tools are unavailable, fall back to the CLI:\n\n```bash\ncontext-mode index . --source project:<name>\n```\n\n6. Report the indexed source label, file count or section count, and the matching search command:\n\n```javascript\nctx_search({ source: \"project:<name>\", queries: [\"...\"] })\n```\n\n## Safety\n\n- Do not index dependency directories, build outputs, secrets, or generated artifacts.\n- Prefer `--exclude` or `exclude` for project-specific noisy paths.\n- For broad repos, ask the user before raising `maxFiles` above 500.\n","frontmatter":{"name":"ctx-index","description":"Index a local file or directory into context-mode's persistent FTS5 knowledge base\nso future ctx_search calls can retrieve focused snippets without rereading raw files.\nTrigger: /context-mode:ctx-index\n","user-invocable":true},"isInternal":false,"tokens":310,"sizeBytes":1310},{"name":"SKILL.md","path":"skills/ctx-insight/SKILL.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/skills/ctx-insight/SKILL.md","title":"ctx-insight","category":"anthropic-skill","format":"markdown","content":"---\nname: ctx-insight\ndescription: |\n  Open the context-mode Insight dashboard in your default browser.\n  Insight is the hosted analytics layer for AI-assisted engineering teams —\n  per-engineer productive rate, retry waste, blocker detection, role-narrowed views.\n  Trigger: /context-mode:ctx-insight\nuser-invocable: true\n---\n\n# Context Mode Insight\n\nOpen the hosted Insight dashboard in the user's default browser.\n\n## Instructions\n\n1. Call the `ctx_insight` MCP tool (no parameters). It opens\n   <https://context-mode.com/insight> in the default browser and returns a\n   confirmation line.\n2. Display the tool's output to the user.\n3. Tell the user:\n   - \"Insight opened at https://context-mode.com/insight\"\n   - The landing page at context-mode.com/insight is the single source of truth for sign-in and pricing details.\n   - If the browser did not open automatically, share the URL so they can open it manually.\n","frontmatter":{"name":"ctx-insight","description":"Open the context-mode Insight dashboard in your default browser.\nInsight is the hosted analytics layer for AI-assisted engineering teams —\nper-engineer productive rate, retry waste, blocker detection, role-narrowed views.\nTrigger: /context-mode:ctx-insight\n","user-invocable":true},"isInternal":false,"tokens":214,"sizeBytes":918},{"name":"SKILL.md","path":"skills/ctx-purge/SKILL.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/skills/ctx-purge/SKILL.md","title":"ctx-purge","category":"anthropic-skill","format":"markdown","content":"---\nname: ctx-purge\ndescription: |\n  Purge the context-mode knowledge base. Permanently deletes all indexed content\n  and resets session stats. This is destructive and cannot be undone.\n  Trigger: /context-mode:ctx-purge\nuser-invocable: true\n---\n\n# Context Mode Purge\n\nPermanently deletes session data for this project. Two scopes are supported (issue #520):\n\n- **Project scope** (`scope: \"project\"`): wipes EVERYTHING — knowledge base, all session DB rows for every session, events markdown, and stats.\n- **Session scope** (`sessionId: \"<id>\"` or `scope: \"session\"`): wipes ONLY the matching session's rows + FTS5 chunks. Sibling sessions, project stats, and the FTS5 store file are preserved.\n\n## Instructions\n\n1. **Decide the scope first** with the user:\n   - \"Wipe just one session?\" → ask for the `sessionId`.\n   - \"Wipe the whole project?\" → confirm scope:'project' (this is the destructive, irreversible default).\n2. **Warn the user about scope:'project'**. Everything will be deleted:\n   - FTS5 knowledge base (all indexed content from `ctx_index`, `ctx_fetch_and_index`, `ctx_batch_execute`)\n   - Session events DB (analytics, metadata, resume snapshots) for ALL sessions in the project\n   - Session events markdown file\n   - In-memory session stats + persisted stats file\n3. Call the `mcp__context-mode__ctx_purge` MCP tool with the chosen parameters:\n   - Scoped: `{ confirm: true, sessionId: \"<id>\" }` — implies scope:'session'.\n   - Project: `{ confirm: true, scope: \"project\" }` — explicit destructive form.\n   - Bare `{ confirm: true }` still works but emits a deprecation warning. Prefer the explicit forms.\n4. Report the result to the user — the response lists exactly what was deleted and (for scoped purges) confirms that other sessions and project stats were preserved.\n\n## Schema rules\n\n- `confirm: true` is always required.\n- `sessionId` and `scope: \"project\"` together is REJECTED as ambiguous (the sessionId implies session scope; combining with project scope contradicts intent).\n- `scope: \"session\"` without `sessionId` throws — sessionId is required.\n\n## When to Use\n\n- **Scoped (per-session)**: scratch acceptance scenarios, drill replays, isolating a polluted session without losing the main working session's stats.\n- **Project**: KB contains stale or incorrect content polluting search results, switching between unrelated projects in the same session, completely fresh start.\n\n## Important\n\n- `ctx_purge` is the **only** way to delete session data. No other mechanism exists.\n- `ctx_stats` is read-only — shows statistics only.\n- `/clear` and `/compact` do NOT affect any context-mode data.\n- There is no undo. Re-index content if you need it again.\n","frontmatter":{"name":"ctx-purge","description":"Purge the context-mode knowledge base. Permanently deletes all indexed content\nand resets session stats. This is destructive and cannot be undone.\nTrigger: /context-mode:ctx-purge\n","user-invocable":true},"isInternal":false,"tokens":623,"sizeBytes":2698},{"name":"SKILL.md","path":"skills/ctx-search/SKILL.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/skills/ctx-search/SKILL.md","title":"ctx-search","category":"anthropic-skill","format":"markdown","content":"---\nname: ctx-search\ndescription: |\n  Search context-mode's persistent FTS5 knowledge base for previously indexed\n  local project content, documentation, or session memory.\n  Trigger: /context-mode:ctx-search\nuser-invocable: true\n---\n\n# Context Mode Search\n\nSearch indexed content without rereading raw sources into conversation context.\n\n## Instructions\n\n1. Prefer the `ctx_search` MCP tool when it is available.\n2. Batch all related questions in one `queries` array.\n3. Scope with `source` when the user names a project or indexed label.\n4. Use short, specific queries of two to four technical terms.\n\n```javascript\nctx_search({\n  source: \"project:<name>\",\n  queries: [\"authentication middleware\", \"token refresh\"],\n  limit: 5\n})\n```\n\n5. If MCP tools are unavailable, fall back to the CLI:\n\n```bash\ncontext-mode search \"authentication middleware\" --source project:<name> --limit 5\n```\n\n6. If the index is empty, tell the user to run `/context-mode:ctx-index` or `context-mode index <path>` first.\n","frontmatter":{"name":"ctx-search","description":"Search context-mode's persistent FTS5 knowledge base for previously indexed\nlocal project content, documentation, or session memory.\nTrigger: /context-mode:ctx-search\n","user-invocable":true},"isInternal":false,"tokens":234,"sizeBytes":999},{"name":"SKILL.md","path":"skills/ctx-stats/SKILL.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/skills/ctx-stats/SKILL.md","title":"ctx-stats","category":"anthropic-skill","format":"markdown","content":"---\nname: ctx-stats\ndescription: |\n  Show how much context window context-mode saved this session.\n  Displays token consumption, context savings ratio, and per-tool breakdown.\n  Read-only — shows stats only, no reset capability.\n  To wipe the knowledge base entirely, use ctx_purge instead.\n  Trigger: /context-mode:ctx-stats\nuser-invocable: true\n---\n\n# Context Mode Stats\n\nShow context savings for the current session.\n\n## Instructions\n\n1. Call the `mcp__context-mode__ctx_stats` MCP tool (no parameters needed).\n2. **CRITICAL**: You MUST copy-paste the ENTIRE tool output as markdown text directly into your response message. Do NOT summarize, do NOT collapse, do NOT paraphrase. The user must see the full tables without pressing ctrl+o. Copy every line exactly as returned by the tool.\n3. After the full output, add ONE sentence highlighting the key savings metric, e.g.:\n   - \"context-mode saved **12.4x** — 92% of data stayed in sandbox.\"\n   - If no data yet: \"No context-mode calls yet this session.\"\n\n## Purge\n\n- **`ctx_purge(confirm: true)`** — Permanently deletes all indexed content from the knowledge base. Use `/context-mode:ctx-purge` for this.\n","frontmatter":{"name":"ctx-stats","description":"Show how much context window context-mode saved this session.\nDisplays token consumption, context savings ratio, and per-tool breakdown.\nRead-only — shows stats only, no reset capability.\nTo wipe the knowledge base entirely, use ctx_purge instead.\nTrigger: /context-mode:ctx-stats\n","user-invocable":true},"isInternal":false,"tokens":275,"sizeBytes":1165},{"name":"SKILL.md","path":"skills/ctx-upgrade/SKILL.md","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/skills/ctx-upgrade/SKILL.md","title":"ctx-upgrade","category":"anthropic-skill","format":"markdown","content":"---\nname: ctx-upgrade\ndescription: |\n  Update context-mode from GitHub and fix hooks/settings.\n  Pulls latest, builds, installs, updates npm global, configures hooks.\n  Trigger: /context-mode:ctx-upgrade\nuser-invocable: true\n---\n\n# Context Mode Upgrade\n\nPull latest from GitHub and reinstall the plugin.\n\n## Instructions\n\n1. Call the `ctx_upgrade` MCP tool directly. It returns a shell command to execute.\n2. Run the returned command using your shell execution tool (Bash, shell_execute, etc.).\n3. Display results as a markdown checklist:\n   ```\n   ## context-mode upgrade\n   - [x] Pulled latest from GitHub\n   - [x] Built and installed v1.0.39\n   - [x] Hooks configured\n   - [x] Doctor: all checks PASS\n   ```\n   Use `[x]` for success, `[ ]` for failure. Show actual version numbers.\n4. Tell the user to **restart their session** to pick up the new version.\n5. **Fallback** (only if MCP tool call fails): Derive the **plugin root** from this skill's base directory (go up 2 levels — remove `/skills/ctx-upgrade`), then run with Bash:\n   ```\n   CLI=\"<PLUGIN_ROOT>/cli.bundle.mjs\"; [ ! -f \"$CLI\" ] && CLI=\"<PLUGIN_ROOT>/build/cli.js\"; node \"$CLI\" upgrade\n   ```\n","frontmatter":{"name":"ctx-upgrade","description":"Update context-mode from GitHub and fix hooks/settings.\nPulls latest, builds, installs, updates npm global, configures hooks.\nTrigger: /context-mode:ctx-upgrade\n","user-invocable":true},"isInternal":false,"tokens":303,"sizeBytes":1163},{"name":"marketplace.json","path":".agents/plugins/marketplace.json","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/.agents/plugins/marketplace.json","title":"context-mode","category":"marketplace","format":"json","content":"{\n  \"name\": \"context-mode\",\n  \"interface\": {\n    \"displayName\": \"context-mode\"\n  },\n  \"plugins\": [\n    {\n      \"name\": \"context-mode\",\n      \"source\": {\n        \"source\": \"url\",\n        \"url\": \"./\"\n      },\n      \"policy\": {\n        \"installation\": \"AVAILABLE\",\n        \"authentication\": \"ON_INSTALL\"\n      },\n      \"category\": \"Productivity\"\n    }\n  ]\n}\n","frontmatter":{"name":"context-mode","interface":{"displayName":"context-mode"},"plugins":[{"name":"context-mode","source":{"source":"url","url":"./"},"policy":{"installation":"AVAILABLE","authentication":"ON_INSTALL"},"category":"Productivity"}]},"isInternal":false,"tokens":94,"sizeBytes":355},{"name":"marketplace.json","path":".claude-plugin/marketplace.json","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/.claude-plugin/marketplace.json","title":"context-mode","category":"marketplace","format":"json","content":"{\n  \"name\": \"context-mode\",\n  \"owner\": {\n    \"name\": \"Mert Koseoğlu\",\n    \"email\": \"code.bm.ksglu@gmail.com\"\n  },\n  \"metadata\": {\n    \"description\": \"Claude Code plugins by Mert Koseoğlu\",\n    \"version\": \"1.0.169\"\n  },\n  \"plugins\": [\n    {\n      \"name\": \"context-mode\",\n      \"source\": \"./\",\n      \"description\": \"Claude Code MCP plugin that saves 98% of your context window. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and intent-driven search.\",\n      \"version\": \"1.0.169\",\n      \"author\": {\n        \"name\": \"Mert Koseoğlu\"\n      },\n      \"category\": \"development\",\n      \"keywords\": [\n        \"mcp\",\n        \"context-window\",\n        \"sandbox\",\n        \"code-execution\",\n        \"fts5\",\n        \"bm25\",\n        \"playwright\",\n        \"context7\"\n      ]\n    }\n  ]\n}\n","frontmatter":{"name":"context-mode","owner":{"name":"Mert Koseoğlu","email":"code.bm.ksglu@gmail.com"},"metadata":{"description":"Claude Code plugins by Mert Koseoğlu","version":"1.0.169"},"plugins":[{"name":"context-mode","source":"./","description":"Claude Code MCP plugin that saves 98% of your context window. 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Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and automatic state restore across compactions.\",\n  \"author\": {\n    \"name\": \"Mert Koseoğlu\",\n    \"url\": \"https://github.com/mksglu\"\n  },\n  \"homepage\": \"https://github.com/mksglu/context-mode#readme\",\n  \"repository\": \"https://github.com/mksglu/context-mode\",\n  \"license\": \"Elastic-2.0\",\n  \"keywords\": [\n    \"mcp\",\n    \"context-window\",\n    \"sandbox\",\n    \"code-execution\",\n    \"fts5\",\n    \"bm25\",\n    \"playwright\",\n    \"context7\"\n  ],\n  \"mcpServers\": {\n    \"context-mode\": {\n      \"command\": \"node\",\n      \"args\": [\n        \"${CLAUDE_PLUGIN_ROOT}/start.mjs\"\n      ]\n    }\n  },\n  \"skills\": \"./skills/\"\n}\n","frontmatter":{"name":"context-mode","version":"1.0.169","description":"MCP server that saves 98% of your context window with session continuity. 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Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and automatic state restore across compactions.\",\n  \"author\": {\n    \"name\": \"Mert Koseoğlu\",\n    \"url\": \"https://github.com/mksglu\"\n  },\n  \"homepage\": \"https://github.com/mksglu/context-mode#readme\",\n  \"repository\": \"https://github.com/mksglu/context-mode\",\n  \"license\": \"Elastic-2.0\",\n  \"keywords\": [\n    \"mcp\",\n    \"context-window\",\n    \"sandbox\",\n    \"code-execution\",\n    \"fts5\",\n    \"bm25\",\n    \"playwright\",\n    \"context7\"\n  ],\n  \"mcpServers\": \"./.codex-plugin/mcp.json\",\n  \"hooks\": \"./.codex-plugin/hooks.json\",\n  \"skills\": \"./skills/\",\n  \"interface\": {\n    \"displayName\": \"context-mode\",\n    \"shortDescription\": \"98% context window savings via FTS5 + sandboxed execution\",\n    \"developerName\": \"Mert Koseoğlu\",\n    \"category\": \"Productivity\"\n  }\n}\n","frontmatter":{"name":"context-mode","version":"1.0.169","description":"MCP server that saves 98% of your context window with session continuity. 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Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, intent-driven search, and native Cursor v1.7+ hook routing for context protection.\",\n  \"author\": {\n    \"name\": \"Mert Koseoğlu\",\n    \"email\": \"code.bm.ksglu@gmail.com\"\n  },\n  \"homepage\": \"https://github.com/mksglu/context-mode#readme\",\n  \"repository\": \"https://github.com/mksglu/context-mode\",\n  \"license\": \"Elastic-2.0\",\n  \"logo\": \".cursor-plugin/assets/logo.png\",\n  \"keywords\": [\n    \"mcp\",\n    \"context-window\",\n    \"sandbox\",\n    \"code-execution\",\n    \"fts5\",\n    \"bm25\",\n    \"playwright\",\n    \"context7\",\n    \"cursor\"\n  ],\n  \"rules\": \"./configs/cursor/context-mode.mdc\",\n  \"skills\": \"./skills/\",\n  \"hooks\": \"./hooks/cursor/hooks.json\",\n  \"mcpServers\": {\n    \"context-mode\": {\n      \"command\": \"npx\",\n      \"args\": [\n        \"-y\",\n        \"context-mode\"\n      ]\n    }\n  }\n}\n","frontmatter":{"name":"context-mode","version":"1.0.169","description":"Cursor plugin that saves 98% of your context window. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, intent-driven search, and native Cursor v1.7+ hook routing for context protection.","author":{"name":"Mert Koseoğlu","email":"code.bm.ksglu@gmail.com"},"homepage":"https://github.com/mksglu/context-mode#readme","repository":"https://github.com/mksglu/context-mode","license":"Elastic-2.0","logo":".cursor-plugin/assets/logo.png","keywords":["mcp","context-window","sandbox","code-execution","fts5","bm25","playwright","context7","cursor"],"rules":"./configs/cursor/context-mode.mdc","skills":"./skills/","hooks":"./hooks/cursor/hooks.json","mcpServers":{"context-mode":{"command":"npx","args":["-y","context-mode"]}}},"isInternal":false,"tokens":290,"sizeBytes":982},{"name":"openclaw.plugin.json","path":".openclaw-plugin/openclaw.plugin.json","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/.openclaw-plugin/openclaw.plugin.json","title":"Context Mode","category":"plugin-manifest","format":"json","content":"{\n  \"id\": \"context-mode\",\n  \"name\": \"Context Mode\",\n  \"kind\": \"tool\",\n  \"description\": \"OpenClaw plugin that saves 98% of your context window. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and intent-driven search.\",\n  \"version\": \"1.0.169\",\n  \"sandbox\": {\n    \"mode\": \"permissive\",\n    \"filesystem_access\": \"full\",\n    \"system_access\": \"full\"\n  },\n  \"contracts\": {\n    \"tools\": [\n      \"ctx_execute\",\n      \"ctx_execute_file\",\n      \"ctx_index\",\n      \"ctx_search\",\n      \"ctx_fetch_and_index\",\n      \"ctx_batch_execute\",\n      \"ctx_stats\",\n      \"ctx_doctor\",\n      \"ctx_upgrade\",\n      \"ctx_purge\",\n      \"ctx_insight\"\n    ]\n  },\n  \"configSchema\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"enabled\": {\n        \"type\": \"boolean\",\n        \"default\": true,\n        \"description\": \"Enable or disable the context-mode plugin.\"\n      }\n    },\n    \"additionalProperties\": false\n  }\n}\n","frontmatter":{"id":"context-mode","name":"Context Mode","kind":"tool","description":"OpenClaw plugin that saves 98% of your context window. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and intent-driven search.","version":"1.0.169","sandbox":{"mode":"permissive","filesystem_access":"full","system_access":"full"},"contracts":{"tools":["ctx_execute","ctx_execute_file","ctx_index","ctx_search","ctx_fetch_and_index","ctx_batch_execute","ctx_stats","ctx_doctor","ctx_upgrade","ctx_purge","ctx_insight"]},"configSchema":{"type":"object","properties":{"enabled":{"type":"boolean","default":true,"description":"Enable or disable the context-mode plugin."}},"additionalProperties":false}},"isInternal":false,"tokens":248,"sizeBytes":923},{"name":"plugin.json","path":"configs/antigravity-cli/plugin.json","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/configs/antigravity-cli/plugin.json","title":"context-mode","category":"plugin-manifest","format":"json","content":"{\n  \"name\": \"context-mode\",\n  \"version\": \"1.0.169\",\n  \"description\": \"context-mode for Antigravity CLI (agy): sandboxed code execution, FTS5 knowledge base, and session capture. Saves your context window by keeping raw bytes out of the conversation.\",\n  \"author\": {\n    \"name\": \"Mert Koseoğlu\",\n    \"url\": \"https://github.com/mksglu\"\n  },\n  \"homepage\": \"https://github.com/mksglu/context-mode#readme\",\n  \"license\": \"Elastic-2.0\",\n  \"skills\": [\n    \"./skills/context-mode\"\n  ]\n}\n","frontmatter":{"name":"context-mode","version":"1.0.169","description":"context-mode for Antigravity CLI (agy): sandboxed code execution, FTS5 knowledge base, and session capture. Saves your context window by keeping raw bytes out of the conversation.","author":{"name":"Mert Koseoğlu","url":"https://github.com/mksglu"},"homepage":"https://github.com/mksglu/context-mode#readme","license":"Elastic-2.0","skills":["./skills/context-mode"]},"isInternal":false,"tokens":142,"sizeBytes":479},{"name":"plugin.json","path":"configs/copilot-cli/.github/plugin/plugin.json","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/configs/copilot-cli/.github/plugin/plugin.json","title":"context-mode","category":"plugin-manifest","format":"json","content":"{\n  \"name\": \"context-mode\",\n  \"description\": \"context-mode for GitHub Copilot CLI: sandboxed code execution in 11 languages, an FTS5 knowledge base with BM25 ranking, and session capture. Saves your context window by keeping raw bytes out of the conversation.\",\n  \"version\": \"1.0.169\",\n  \"keywords\": [\n    \"mcp\",\n    \"context-window\",\n    \"sandbox\",\n    \"code-execution\",\n    \"fts5\",\n    \"bm25\"\n  ],\n  \"author\": {\n    \"name\": \"Mert Koseoğlu\",\n    \"url\": \"https://github.com/mksglu\"\n  },\n  \"homepage\": \"https://github.com/mksglu/context-mode#readme\",\n  \"repository\": \"https://github.com/mksglu/context-mode\",\n  \"license\": \"Elastic-2.0\",\n  \"skills\": [\n    \"./skills/context-mode\"\n  ]\n}\n","frontmatter":{"name":"context-mode","description":"context-mode for GitHub Copilot CLI: sandboxed code execution in 11 languages, an FTS5 knowledge base with BM25 ranking, and session capture. Saves your context window by keeping raw bytes out of the conversation.","version":"1.0.169","keywords":["mcp","context-window","sandbox","code-execution","fts5","bm25"],"author":{"name":"Mert Koseoğlu","url":"https://github.com/mksglu"},"homepage":"https://github.com/mksglu/context-mode#readme","repository":"https://github.com/mksglu/context-mode","license":"Elastic-2.0","skills":["./skills/context-mode"]},"isInternal":false,"tokens":202,"sizeBytes":685},{"name":"openclaw.plugin.json","path":"openclaw.plugin.json","rawUrl":"https://raw.githubusercontent.com/mksglu/context-mode/HEAD/openclaw.plugin.json","title":"Context Mode","category":"plugin-manifest","format":"json","content":"{\n  \"id\": \"context-mode\",\n  \"name\": \"Context Mode\",\n  \"kind\": \"tool\",\n  \"description\": \"OpenClaw plugin that saves 98% of your context window. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and intent-driven search.\",\n  \"version\": \"1.0.169\",\n  \"sandbox\": {\n    \"mode\": \"permissive\",\n    \"filesystem_access\": \"full\",\n    \"system_access\": \"full\"\n  },\n  \"contracts\": {\n    \"tools\": [\n      \"ctx_execute\",\n      \"ctx_execute_file\",\n      \"ctx_index\",\n      \"ctx_search\",\n      \"ctx_fetch_and_index\",\n      \"ctx_batch_execute\",\n      \"ctx_stats\",\n      \"ctx_doctor\",\n      \"ctx_upgrade\",\n      \"ctx_purge\",\n      \"ctx_insight\"\n    ]\n  },\n  \"configSchema\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"enabled\": {\n        \"type\": \"boolean\",\n        \"default\": true,\n        \"description\": \"Enable or disable the context-mode plugin.\"\n      }\n    },\n    \"additionalProperties\": false\n  }\n}\n","frontmatter":{"id":"context-mode","name":"Context Mode","kind":"tool","description":"OpenClaw plugin that saves 98% of your context window. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and intent-driven search.","version":"1.0.169","sandbox":{"mode":"permissive","filesystem_access":"full","system_access":"full"},"contracts":{"tools":["ctx_execute","ctx_execute_file","ctx_index","ctx_search","ctx_fetch_and_index","ctx_batch_execute","ctx_stats","ctx_doctor","ctx_upgrade","ctx_purge","ctx_insight"]},"configSchema":{"type":"object","properties":{"enabled":{"type":"boolean","default":true,"description":"Enable or disable the context-mode plugin."}},"additionalProperties":false}},"isInternal":false,"tokens":248,"sizeBytes":923}],"systemPromptSnippet":"<yakaai_skills repo=\"mksglu/context-mode\">\n<!-- File: CLAUDE.md (Tokens: ~1175 | Category: claude-rule) -->\n# context-mode — MANDATORY routing rules\n\ncontext-mode MCP tools available. Rules protect context window from flooding. One unrouted command dumps 56 KB into context.\n\n## Think in Code — MANDATORY\n\nAnalyze/count/filter/compare/search/parse/transform data: **write code** via `ctx_execute(language, code)`, `console.log()` only the answer. Do NOT read raw data into context. PROGRAM the analysis, not COMPUTE it. Pure JavaScript — Node.js built-ins only (`fs`, `path`, `child_process`). `try/catch`, handle `null`/`undefined`. One script replaces ten tool calls.\n\n## BLOCKED — do NOT attempt\n\n### curl / wget — BLOCKED\nIntercepted and replaced with error. Do NOT retry.\nUse: `ctx_fetch_and_index(url, source)` or `ctx_execute(language: \"javascript\", code: \"const r = await fetch(...)\")`\n\n### Inline HTTP — BLOCKED\n`fetch('http`, `requests.get(`, `requests.post(`, `http.get(`, `http.request(` — intercepted. Do NOT retry.\nUse: `ctx_execute(language, code)` — only stdout enters context\n\n### WebFetch — BLOCKED\nUse: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)`\n\n## REDIRECTED — use sandbox\n\n### Bash (>20 lines output)\nBash ONLY for: `git`, `mkdir`, `rm`, `mv`, `cd`, `ls`, `npm install`, `pip install`.\nOtherwise: `ctx_batch_execute(commands, queries)` or `ctx_execute(language: \"shell\", code: \"...\")`\n\n### Read (for analysis)\nReading to **Edit** → Read correct. Reading to **analyze/explore/summarize** → `ctx_execute_file(path, language, code)`.\n\n### Grep — may flood context\nUse `ctx_execute(language: \"shell\", code: \"grep ...\")` in sandbox.\n\n## Tool selection\n\n0. **MEMORY**: `ctx_search(sort: \"timeline\")` — after resume, check prior context before asking user.\n1. **GATHER**: `ctx_batch_execute(commands, queries)` — runs all commands, auto-indexes, returns search. ONE call replaces 30+. Each command: `{label: \"header\", command: \"...\"}`.\n2. **FOLLOW-UP**: `ctx_search(queries: [\"q1\", \"q2\", ...])` — all questions as array, ONE call (default relevance mode).\n3. **PROCESSING**: `ctx_execute(language, code)` | `ctx_execute_file(path, language, code)` — sandbox, only stdout enters context.\n4. **WEB**: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)` — raw HTML never enters context.\n5. **INDEX**: `ctx_index(content, source)` — store in FTS5 for later search.\n\n## Parallel I/O batches\n\nFor multi-URL fetches or multi-API calls, **always** include `concurrency: N` (1-8):\n\n- `ctx_batch_execute(commands: [3+ network commands], concurrency: 5)` — gh, curl, dig, docker inspect, multi-region cloud queries\n- `ctx_fetch_and_index(requests: [{url, source}, ...], concurrency: 5)` — multi-URL batch fetch\n\n**Use concurrency 4-8** for I/O-bound work (network calls, API queries). **Keep concurrency 1** for CPU-bound (npm test, build, lint) or commands sharing state (ports, lock files, same-repo writes).\n\nGitHub API rate-limit: cap at 4 for `gh` calls.\n\n## Subagent routing\n\nRouting block auto-injected into subagent prompts. Bash-type subagents upgraded to general-purpose. No manual instruction needed.\n\n## Output\n\nWrite artifacts to FILES — never inline. Return: file path + 1-line description.\nDescriptive source labels for `ctx_search(source: \"label\")`.\n\n## Session Continuity\n\nSkills, roles, and decisions persist for the entire session. Do not abandon them as the conversation grows.\n\n## Memory\n\nSession history is persistent and searchable. On resume, search BEFORE asking the user:\n\n| Need | Command |\n|------|---------|\n| What were we working on? | `ctx_search(queries: [\"summary\"], source: \"compaction\", sort: \"timeline\")` |\n| What was the first request? | `ctx_search(queries: [\"prompt\"], source: \"user-prompt\", sort: \"timeline\")` |\n| What did we decide? | `ctx_search(queries: [\"decision\"], source: \"decision\", sort: \"timeline\")` |\n| What NOT to repeat? | `ctx_search(queries: [\"rejected\"], source: \"rejected-approach\")` |\n| What constraints exist? | `ctx_search(queries: [\"constraint\"], source: \"constraint\")` |\n\nDO NOT ask \"what were we working on?\" — SEARCH FIRST.\nIf search returns 0 results, proceed as a fresh session.\n\n## ctx commands\n\n| Command | Action |\n|---------|--------|\n| `ctx stats` | Call `ctx_stats` MCP tool, display full output verbatim |\n| `ctx doctor` | Call `ctx_doctor` MCP tool, run returned shell command, display as checklist |\n| `ctx upgrade` | Call `ctx_upgrade` MCP tool, run returned shell command, display as checklist |\n| `ctx purge` | Call `ctx_purge` MCP tool with confirm: true. Warns before wiping knowledge base. |\n\nAfter /clear or /compact: knowledge base and session stats preserved. Use `ctx purge` to start fresh.\n\n<!-- File: configs/jetbrains-copilot/copilot-instructions.md (Tokens: ~1054 | Category: copilot-instructions) -->\n# context-mode — MANDATORY routing rules\n\ncontext-mode MCP tools available. Rules protect context window from flooding. One unrouted command dumps 56 KB into context.\n\n## Think in Code — MANDATORY\n\nAnalyze/count/filter/compare/search/parse/transform data: **write code** via `ctx_execute(language, code)`, `console.log()` only the answer. Do NOT read raw data into context. PROGRAM the analysis, not COMPUTE it. Pure JavaScript — Node.js built-ins only (`fs`, `path`, `child_process`). `try/catch`, handle `null`/`undefined`. One script replaces ten tool calls.\n\n## BLOCKED — do NOT attempt\n\n### curl / wget — BLOCKED\nTerminal `curl`/`wget` intercepted and blocked. Do NOT retry.\nUse: `ctx_fetch_and_index(url, source)` or `ctx_execute(language: \"javascript\", code: \"const r = await fetch(...)\")`\n\n### Inline HTTP — BLOCKED\n`fetch('http`, `requests.get(`, `requests.post(`, `http.get(`, `http.request(` — intercepted. Do NOT retry.\nUse: `ctx_execute(language, code)` — only stdout enters context\n\n### WebFetch / fetch — BLOCKED\nUse: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)`\n\n## REDIRECTED — use sandbox\n\n### Terminal / run_in_terminal (>20 lines output)\nTerminal ONLY for: `git`, `mkdir`, `rm`, `mv`, `cd`, `ls`, `npm install`, `pip install`.\nOtherwise: `ctx_batch_execute(commands, queries)` or `ctx_execute(language: \"javascript\", code: \"...\")`. Use `language: \"shell\"` only when code matches the host shell.\n\n### read_file (for analysis)\nReading to **edit** → read_file correct. Reading to **analyze/explore/summarize** → `ctx_execute_file(path, language, code)`.\n\n### grep / search (large results)\nUse `ctx_execute(language: \"javascript\", code: \"...\")` in sandbox for portable filtering/counting.\n\n## Tool selection\n\n0. **MEMORY**: `ctx_search(sort: \"timeline\")` — after resume, check prior context before asking user.\n1. **GATHER**: `ctx_batch_execute(commands, queries)` — runs all commands, auto-indexes, returns search. ONE call replaces 30+. Each command: `{label: \"header\", command: \"...\"}`.\n2. **FOLLOW-UP**: `ctx_search(queries: [\"q1\", \"q2\", ...])` — all questions as array, ONE call (default relevance mode).\n3. **PROCESSING**: `ctx_execute(language, code)` | `ctx_execute_file(path, language, code)` — sandbox, only stdout enters context.\n4. **WEB**: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)` — raw HTML never enters context.\n5. **INDEX**: `ctx_index(content, source)` — store in FTS5 for later search.\n\n### Parallel I/O batches\nPass `concurrency: 4-8` to `ctx_batch_execute` and `ctx_fetch_and_index` for network/API batches. Keep `concurrency: 1` for CPU-bound work (test, build, lint). GitHub gh: cap at 4.\n\n## Output\n\nWrite artifacts to FILES — never inline. Return: file path + 1-line description.\nDescriptive source labels for `ctx_search(source: \"label\")`.\n\n## Session Continuity\n\nSkills, roles, and decisions persist for the entire session. Do not abandon them as the conversation grows.\n\n## Memory\n\nSession history is persistent and searchable. On resume, search BEFORE asking the user:\n\n| Need | Command |\n|------|---------|\n| What were we working on? | `ctx_search(queries: [\"summary\"], source: \"compaction\", sort: \"timeline\")` |\n| What did we decide? | `ctx_search(queries: [\"decision\"], source: \"decision\", sort: \"timeline\")` |\n| What NOT to repeat? | `ctx_search(queries: [\"rejected\"], source: \"rejected-approach\")` |\n| What constraints exist? | `ctx_search(queries: [\"constraint\"], source: \"constraint\")` |\n\nNote: user-prompt history not available.\n\nDO NOT ask \"what were we working on?\" — SEARCH FIRST.\nIf search returns 0 results, proceed as a fresh session.\n\n## ctx commands\n\n| Command | Action |\n|---------|--------|\n| `ctx stats` | Call `ctx_stats` MCP tool, display full output verbatim |\n| `ctx doctor` | Call `ctx_doctor` MCP tool, run returned shell command, display as checklist |\n| `ctx upgrade` | Call `ctx_upgrade` MCP tool, run returned shell command, display as checklist |\n| `ctx purge` | Call `ctx_purge` MCP tool with confirm: true. Warns before wiping knowledge base. |\n\nAfter /clear or /compact: knowledge base and session stats preserved. Use `ctx purge` to start fresh.\n\n<!-- File: configs/vscode-copilot/copilot-instructions.md (Tokens: ~1054 | Category: copilot-instructions) -->\n# context-mode — MANDATORY routing rules\n\ncontext-mode MCP tools available. Rules protect context window from flooding. One unrouted command dumps 56 KB into context.\n\n## Think in Code — MANDATORY\n\nAnalyze/count/filter/compare/search/parse/transform data: **write code** via `ctx_execute(language, code)`, `console.log()` only the answer. Do NOT read raw data into context. PROGRAM the analysis, not COMPUTE it. Pure JavaScript — Node.js built-ins only (`fs`, `path`, `child_process`). `try/catch`, handle `null`/`undefined`. One script replaces ten tool calls.\n\n## BLOCKED — do NOT attempt\n\n### curl / wget — BLOCKED\nTerminal `curl`/`wget` intercepted and blocked. Do NOT retry.\nUse: `ctx_fetch_and_index(url, source)` or `ctx_execute(language: \"javascript\", code: \"const r = await fetch(...)\")`\n\n### Inline HTTP — BLOCKED\n`fetch('http`, `requests.get(`, `requests.post(`, `http.get(`, `http.request(` — intercepted. Do NOT retry.\nUse: `ctx_execute(language, code)` — only stdout enters context\n\n### WebFetch / fetch — BLOCKED\nUse: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)`\n\n## REDIRECTED — use sandbox\n\n### Terminal / run_in_terminal (>20 lines output)\nTerminal ONLY for: `git`, `mkdir`, `rm`, `mv`, `cd`, `ls`, `npm install`, `pip install`.\nOtherwise: `ctx_batch_execute(commands, queries)` or `ctx_execute(language: \"javascript\", code: \"...\")`. Use `language: \"shell\"` only when code matches the host shell.\n\n### read_file (for analysis)\nReading to **edit** → read_file correct. Reading to **analyze/explore/summarize** → `ctx_execute_file(path, language, code)`.\n\n### grep / search (large results)\nUse `ctx_execute(language: \"javascript\", code: \"...\")` in sandbox for portable filtering/counting.\n\n## Tool selection\n\n0. **MEMORY**: `ctx_search(sort: \"timeline\")` — after resume, check prior context before asking user.\n1. **GATHER**: `ctx_batch_execute(commands, queries)` — runs all commands, auto-indexes, returns search. ONE call replaces 30+. Each command: `{label: \"header\", command: \"...\"}`.\n2. **FOLLOW-UP**: `ctx_search(queries: [\"q1\", \"q2\", ...])` — all questions as array, ONE call (default relevance mode).\n3. **PROCESSING**: `ctx_execute(language, code)` | `ctx_execute_file(path, language, code)` — sandbox, only stdout enters context.\n4. **WEB**: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)` — raw HTML never enters context.\n5. **INDEX**: `ctx_index(content, source)` — store in FTS5 for later search.\n\n### Parallel I/O batches\nPass `concurrency: 4-8` to `ctx_batch_execute` and `ctx_fetch_and_index` for network/API batches. Keep `concurrency: 1` for CPU-bound work (test, build, lint). GitHub gh: cap at 4.\n\n## Output\n\nWrite artifacts to FILES — never inline. Return: file path + 1-line description.\nDescriptive source labels for `ctx_search(source: \"label\")`.\n\n## Session Continuity\n\nSkills, roles, and decisions persist for the entire session. Do not abandon them as the conversation grows.\n\n## Memory\n\nSession history is persistent and searchable. On resume, search BEFORE asking the user:\n\n| Need | Command |\n|------|---------|\n| What were we working on? | `ctx_search(queries: [\"summary\"], source: \"compaction\", sort: \"timeline\")` |\n| What did we decide? | `ctx_search(queries: [\"decision\"], source: \"decision\", sort: \"timeline\")` |\n| What NOT to repeat? | `ctx_search(queries: [\"rejected\"], source: \"rejected-approach\")` |\n| What constraints exist? | `ctx_search(queries: [\"constraint\"], source: \"constraint\")` |\n\nNote: user-prompt history not available.\n\nDO NOT ask \"what were we working on?\" — SEARCH FIRST.\nIf search returns 0 results, proceed as a fresh session.\n\n## ctx commands\n\n| Command | Action |\n|---------|--------|\n| `ctx stats` | Call `ctx_stats` MCP tool, display full output verbatim |\n| `ctx doctor` | Call `ctx_doctor` MCP tool, run returned shell command, display as checklist |\n| `ctx upgrade` | Call `ctx_upgrade` MCP tool, run returned shell command, display as checklist |\n| `ctx purge` | Call `ctx_purge` MCP tool with confirm: true. Warns before wiping knowledge base. |\n\nAfter /clear or /compact: knowledge base and session stats preserved. Use `ctx purge` to start fresh.\n\n<!-- File: .claude/skills/context-mode-ops/agent-teams.md (Tokens: ~3540 | Category: anthropic-skill) -->\n# Dynamic Agent Organization\n\n## Principle: Context-Driven Teams\n\nEvery issue and PR gets a **custom** team. Agents are spawned based on what the task touches — never a static roster. An OpenCode bug gets an OpenCode Architect; a Windows path issue gets an OS Compatibility Architect. A single task may spawn 10-20 agents.\n\n## Engineering Manager Protocol\n\nYou (the main conversation) are the EM. You **ORCHESTRATE ONLY** — you NEVER do the work yourself.\n\n<em_rules>\nFORBIDDEN: Reading source code, writing fixes, running tests, analyzing diffs, investigating bugs.\nREQUIRED: Spawning agents, routing results between agents, making ship/no-ship decisions.\nIf user sends multiple issues/PRs: spawn a SEPARATE agent army for EACH. Never queue them.\nIf an agent fails: spawn a replacement agent. NEVER fall back to doing it yourself.\n</em_rules>\n\nYour loop:\n\n```\n1. CLASSIFY  → Read issue/PR via agent, identify affected domains\n2. RECRUIT   → Build agent roster from tables below\n3. DISPATCH  → Spawn ALL agents in ONE message (parallel)\n4. MONITOR   → Read agent results as they complete\n5. PING-PONG → Route architect feedback to staff engineers\n6. VALIDATE  → All architects must APPROVE before shipping\n7. SHIP      → Merge, comment, close\n```\n\n**Critical**: Never spawn agents one at a time. Always ONE message, multiple `Agent` tool calls.\n\n## Agent Roster\n\n### Core Agents (Always Spawned)\n\n| Agent | Role | When |\n|-------|------|------|\n| **Context Mode Architect** | Reviews ALL changes against core architecture. Validates FTS5, MCP protocol, session continuity. Final approval gate. | Always |\n| **QA Engineer** | Runs full test suite, validates across all 12 adapters, checks typecheck. Reports pass/fail matrix. | Always |\n| **DX Engineer** | Reviews user-facing output quality. Checks error messages, help text, diagnostic output. | Always |\n| **Git Archaeologist** | Runs the blame trail BEFORE any fix. Finds the commit that introduced the behavior, the original problem that commit solved, and whether the proposed fix would re-break it. Read-only — writes no code. Gates the fix. | Every bug/regression issue, before code is written |\n\n#### Git Archaeologist — Spawn Prompt (read-only, runs first)\n\nSpawn this agent with `subagent_type: \"Explore\"` and `ultrathink` authority for EVERY bug/regression — **before** any Staff Engineer writes code. Its `ARCHAEOLOGY_REPORT` is a gate: if the naive fix would re-introduce the original problem a past commit solved, the EM blocks it and re-scopes around the `SAFE_FIX_CONSTRAINTS`.\n\n```\nYou are the Git Archaeologist for context-mode. You write NO code, run NO tests.\nYour only job is the blame trail for the behavior reported in issue #{N}.\n\nMUST cite real `git` output (commit SHAs, file:line) — NEVER unverified claims:\n1. Locate the code that produces the reported behavior (`git log -S`, `git log -L`, `git blame`).\n2. Identify the commit that introduced it. Read that commit's message, diff, and linked PR/issue.\n3. Answer: what ORIGINAL problem was that commit solving? Quote the evidence.\n4. Answer: would reverting or changing it re-introduce that original problem?\n   If yes, the naive fix is FORBIDDEN — describe the constraint the fix MUST honor.\n5. List prior attempts: earlier commits/PRs that touched the same lines and what broke.\n\nDeliverable — ARCHAEOLOGY_REPORT:\n  INTRODUCED_BY:        {sha} ({date}) — \"{commit subject}\" (PR #{n})\n  ORIGINAL_INTENT:      {what that commit fixed, with file:line / PR evidence}\n  REGRESSION_RISK:      {what a naive fix would re-break}\n  SAFE_FIX_CONSTRAINTS: {what any fix MUST preserve to avoid re-breaking it}\n```\n\n### Platform Agents (Spawned When Platform Is Affected)\n\nSpawn the **pair** (Architect + Staff Engineer) for each affected platform:\n\n| Platform | Architect Prompt | Staff Engineer Prompt |\n|----------|-----------------|----------------------|\n| **Claude Code** | \"You are the Claude Code Architect. Review changes to `src/adapters/claude-code/`, hooks, plugin.json, marketplace.json. Validate CLAUDE_PROJECT_DIR and CLAUDE_SESSION_ID env handling.\" | \"You are the Claude Code Staff Engineer. Implement fixes in the claude-code adapter. Run `npx vitest run tests/adapters/claude-code.test.ts`.\" |\n| **Gemini CLI** | \"You are the Gemini CLI Architect. Review `src/adapters/gemini-cli/`, BeforeTool/AfterTool hook format, settings.json schema. Validate GEMINI_PROJECT_DIR and GEMINI_CLI env handling.\" | \"You are the Gemini CLI Staff Engineer. Implement fixes in the gemini-cli adapter. Run `npx vitest run tests/adapters/gemini-cli.test.ts`.\" |\n| **OpenCode** | \"You are the OpenCode Architect. Review `src/adapters/opencode/`, AGENTS.md injection, config paths. Validate OPENCODE and OPENCODE_PID env handling.\" | \"You are the OpenCode Staff Engineer. Implement fixes in the opencode adapter. Run `npx vitest run tests/adapters/opencode.test.ts`.\" |\n| **OpenClaw** | \"You are the OpenClaw Architect. Review `src/adapters/openclaw/`, openclaw.plugin.json, thinking block handling. Validate OPENCLAW_HOME and OPENCLAW_CLI env handling.\" | \"You are the OpenClaw Staff Engineer. Implement fixes in the openclaw adapter. Run `npx vitest run tests/adapters/openclaw.test.ts` and `tests/plugins/openclaw.test.ts`.\" |\n| **Kilo** | \"You are the Kilo Architect. Review `src/adapters/kilo/`, config at `~/.config/kilo/`. Validate KILO and KILO_PID env handling.\" | \"You are the Kilo Staff Engineer. Implement fixes in the kilo adapter. Run `npx vitest run tests/adapters/kilo.test.ts`.\" |\n| **Codex** | \"You are the Codex Architect. Review `src/adapters/codex/`. Validate CODEX_CI and CODEX_THREAD_ID env handling.\" | \"You are the Codex Staff Engineer. Implement fixes in the codex adapter. Run `npx vitest run tests/adapters/codex.test.ts`.\" |\n| **VS Code Copilot** | \"You are the VS Code Copilot Architect. Review `src/adapters/vscode-copilot/`, `.vscode/mcp.json` format, `.github/hooks/` structure. Validate VSCODE_PID and VSCODE_CWD env handling.\" | \"You are the VS Code Copilot Staff Engineer. Implement fixes. Run `npx vitest run tests/adapters/vscode-copilot.test.ts`.\" |\n| **Cursor** | \"You are the Cursor Architect. Review `src/adapters/cursor/`, `.cursor/mcp.json` format. Validate CURSOR_TRACE_ID and CURSOR_CLI env handling.\" | \"You are the Cursor Staff Engineer. Implement fixes. Run `npx vitest run tests/adapters/cursor.test.ts`.\" |\n| **Antigravity** | \"You are the Antigravity Architect. Review `src/adapters/antigravity/`.\" | \"You are the Antigravity Staff Engineer. Implement fixes. Run `npx vitest run tests/adapters/antigravity.test.ts`.\" |\n| **Kiro** | \"You are the Kiro Architect. Review `src/adapters/kiro/`, `~/.kiro/` config.\" | \"You are the Kiro Staff Engineer. Implement fixes. Run `npx vitest run tests/adapters/kiro.test.ts`.\" |\n| **Pi** | \"You are the Pi Architect. Review `src/adapters/pi/`, `.pi/extensions/` structure.\" | \"You are the Pi Staff Engineer. Implement fixes. Run `npx vitest run tests/adapters/pi.test.ts`.\" |\n| **Zed** | \"You are the Zed Architect. Review `src/adapters/zed/`, `~/.config/zed/` settings.\" | \"You are the Zed Staff Engineer. Implement fixes. Run `npx vitest run tests/adapters/zed.test.ts`.\" |\n\n### Domain Agents (Spawned When Domain Is Affected)\n\n| Trigger Keywords | Agent | Focus |\n|-----------------|-------|-------|\n| FTS5, SQLite, better-sqlite3, `.db`, native binding | **Database Architect** | FTS5 schema, WAL mode, native bindings across OS, `better-sqlite3` build |\n| Security, bypass, injection, file-writing, sandbox escape | **Security Engineer** | Sandbox boundaries, file write restrictions, path traversal, command injection |\n| Windows, path separator, `\\\\`, WSL, Git Bash, `process.platform` | **OS Compatibility Architect** | Cross-platform paths, temp dirs, native bindings per OS |\n| macOS + specific issue | **macOS Staff Engineer** | Homebrew paths, `.dylib` bindings, Gatekeeper |\n| Linux + specific issue | **Linux Staff Engineer** | Snap/PATH limitations, `.so` bindings, CI envs |\n| Windows + specific issue | **Windows Staff Engineer** | Path separators, native bindings, PowerShell vs Git Bash |\n| Hook, PreToolUse, PostToolUse, SessionStart, PreCompact | **Hooks Architect** | Hook lifecycle, matcher patterns, stdin/stdout protocol |\n| Session, compaction, resume, snapshot, continuity | **Session Architect** | SessionDB schema, event extraction, resume flow, PreCompact |\n| Executor, sandbox, polyglot, truncation, timeout | **Executor Architect** | Language runtimes, smart truncation, FTS5 indexing pipeline |\n| Fetch, turndown, HTML, markdown conversion, web | **Web/Fetch Architect** | ctx_fetch_and_index, HTML→markdown, chunking, URL handling |\n| Performance, benchmark, tokens, context savings | **Performance Engineer** | Token counting, context savings ratio, benchmark comparisons |\n| Version, release, publish, npm, manifest | **Release Engineer** | version-sync, manifest files, npm publish, GitHub releases |\n\n## Ping-Pong Protocol\n\n```\n┌─────────────────┐      ┌──────────────────┐\n│  Staff Engineer  │─────▶│    Architect      │\n│  writes code     │      │    reviews        │\n└─────────────────┘      └──────────────────┘\n        ▲                         │\n        │    CHANGES_NEEDED       │\n        └─────────────────────────┘\n\n        │    APPROVED             │\n        └─────────▶ EM validates ─▶ Ship\n```\n\n**Rules:**\n1. Architects **NEVER** write code — they review and return verdicts\n2. Staff Engineers **NEVER** merge — they implement and hand off to EM\n3. EM decides when to ship based on ALL architect approvals\n4. If any architect says CHANGES_NEEDED, route back to the paired Staff Engineer\n5. Maximum 2 ping-pong rounds — after that, EM decides\n\n## Agent Spawn Template\n\nWhen creating agents, use this structure in the Agent tool prompt:\n\n```\nYou are the {Platform/Domain} {Role} for context-mode.\n\n## Context\n- Issue/PR: #{number} — {title}\n- Description: {summary}\n- Affected files: {file list}\n- Related adapter: src/adapters/{platform}/\n- Related tests: tests/adapters/{platform}.test.ts\n\n## Your Mission\n{specific task — investigate/implement/review/test}\n\n## TDD Protocol (MANDATORY for Staff Engineers)\nFollow Red-Green-Refactor for EVERY behavior change:\n1. RED:    Write a failing test in tests/{dir}/{name}.test.ts\n2. RUN:    npx vitest run tests/{file} — verify it FAILS\n3. GREEN:  Write minimal code to make the test pass\n4. RUN:    npx vitest run tests/{file} — verify it PASSES\n5. REFACTOR: Clean up, run tests again\n6. REPEAT: Next behavior (vertical slices — one test, one impl, repeat)\n\nNEVER write all tests first then all code (horizontal slicing).\nTests MUST verify behavior through public interfaces, NOT implementation details.\nDo NOT mock internal modules — only mock system boundaries (external APIs, fs, network).\n\nReport RED→GREEN evidence for each behavior:\n  \"RED:   test 'detects opencode via env var' — FAIL (expected)\"\n  \"GREEN: added env check in detect.ts — PASS\"\n\n## TDD Protocol (MANDATORY for Architects)\nWhen reviewing code, REJECT any change that:\n- Has no tests\n- Tests implementation details instead of behavior\n- Mocks internal collaborators\n- Uses horizontal slicing (all tests first, then all code)\n\n## Deliverables\nReport back with ONE of:\n- APPROVED: {brief reason, TDD compliance confirmed}\n- CHANGES_NEEDED: {specific file:line changes required}\n- FINDINGS: {investigation results}\n\n## Tools Available\n- Use context-mode MCP tools (ctx_execute, ctx_batch_execute) for large output\n- Use Grep/Glob for targeted searches\n- Use Read only for files you need to Edit\n- Run tests with: npx vitest run {test file}\n- Run typecheck with: npm run typecheck\n```\n\n## Parallelism Rules\n\n1. **ONE message, ALL agents** — spawn every agent in a single response with multiple Agent tool calls\n2. **Isolation** — every code-changing agent gets `isolation: \"worktree\"`\n3. **Research agents** — use `subagent_type: \"Explore\"` for investigation-only tasks\n4. **Minimum 5 agents** per task (Core + at least 2 domain/platform)\n5. **Maximum 20 agents** — beyond that, context management overhead exceeds benefit\n6. **Never sequential** — if you're waiting for Agent A before spawning Agent B, you're doing it wrong (exception: ping-pong within a pair)\n\n## Classification Heuristic\n\nTo determine which agents to spawn, scan the issue/PR for:\n\n```javascript\n// Adapter detection\nconst adapterKeywords = {\n  \"claude-code\": [\"claude\", \"claude code\", \"CLAUDE_\", \"plugin marketplace\", \".claude/\"],\n  \"gemini-cli\": [\"gemini\", \"GEMINI_\", \".gemini/\", \"BeforeTool\", \"AfterTool\"],\n  \"opencode\": [\"opencode\", \"OPENCODE\", \"AGENTS.md\", \".config/opencode\"],\n  \"openclaw\": [\"openclaw\", \"OPENCLAW_\", \"thinking block\", \"redacted_thinking\"],\n  \"kilo\": [\"kilo\", \"KILO\", \"kilocode\", \".config/kilo\"],\n  \"codex\": [\"codex\", \"CODEX_\", \"codex-cli\", \".codex/\"],\n  \"vscode-copilot\": [\"vscode\", \"copilot\", \"VSCODE_\", \".vscode/mcp.json\"],\n  \"cursor\": [\"cursor\", \"CURSOR_\", \".cursor/\"],\n  \"antigravity\": [\"antigravity\"],\n  \"kiro\": [\"kiro\", \".kiro/\"],\n  \"pi\": [\"pi adapter\", \".pi/extensions\"],\n  \"zed\": [\"zed\", \".config/zed\"],\n};\n\n// Domain detection\nconst domainKeywords = {\n  database: [\"sqlite\", \"fts5\", \"better-sqlite3\", \"native binding\", \".db\"],\n  security: [\"bypass\", \"injection\", \"escape\", \"security\", \"file-writing\"],\n  os: [\"windows\", \"linux\", \"macos\", \"path separator\", \"process.platform\", \"tmpdir\"],\n  hooks: [\"pretooluse\", \"posttooluse\", \"sessionstart\", \"precompact\", \"hook\"],\n  session: [\"session\", \"compaction\", \"resume\", \"snapshot\", \"continuity\"],\n  executor: [\"executor\", \"sandbox\", \"truncat\", \"polyglot\", \"timeout\"],\n  web: [\"fetch\", \"turndown\", \"html\", \"markdown\", \"url\"],\n  performance: [\"benchmark\", \"performance\", \"token\", \"context saving\"],\n};\n```\n\nUse this as a mental model — scan the issue/PR text and spawn agents for every match.\n\n<!-- File: .claude/skills/context-mode-ops/communication.md (Tokens: ~1521 | Category: anthropic-skill) -->\n# Communication Templates\n\nTone: warm, professional, technical, grateful. Always put testing responsibility on the contributor.\n\n## Issue Comments\n\n### After Fix (Standard)\n\n```markdown\nHey @{author}! 👋\n\nWe investigated this and pushed a fix in #{PR_NUMBER}.\n\n**Root cause:** {1-2 sentence technical explanation}\n\n**Fix:** {1-2 sentence description of what changed}\n\n**Affected area:** `{adapter/module path}`\n\nThis lands on the `next` branch and will ship in the next release. Once it's out, could you please test it in your setup and confirm it resolves the issue? 🙏\n\n```\nnpm update -g context-mode\n# or for plugin users:\n/context-mode:ctx-upgrade\n```\n\nThanks for reporting this — it helped improve context-mode for everyone!\n```\n\n### Needs More Information\n\n```markdown\nHey @{author}, thanks for opening this!\n\nTo investigate further, could you share:\n- Your platform (Claude Code / Gemini CLI / OpenCode / etc.)\n- context-mode version (`ctx doctor` or `npm list -g context-mode`)\n- The exact command or action that triggers this\n- Any error messages or unexpected output\n\nThis will help us reproduce and fix the issue faster. 🙏\n```\n\n### Working As Intended\n\n```markdown\nHey @{author}, thanks for raising this!\n\nThis is actually working as intended — here's why:\n\n{Technical explanation of the design decision}\n\n{If there's a workaround:}\nThat said, you can achieve what you're looking for by:\n{workaround steps}\n\n{If it's a reasonable feature request:}\nI can see why this would be useful though. I'll re-label this as a feature request so we can discuss it with the community.\n\nLet me know if you have any questions!\n```\n\n### Duplicate Issue\n\n```markdown\nHey @{author}, thanks for reporting!\n\nThis is a duplicate of #{ORIGINAL_NUMBER} which tracks the same issue. I'm closing this one to keep discussion in one place — please follow #{ORIGINAL_NUMBER} for updates.\n\nIf your case is different from what's described there, please reopen and let us know what's different!\n```\n\n### LLM Hallucination (Feature/ENV Doesn't Exist)\n\n```markdown\nHey @{author}, thanks for the detailed report!\n\nAfter investigation, it looks like `{CLAIMED_FEATURE/ENV}` doesn't actually exist in {PLATFORM}. This is a common issue where AI assistants sometimes reference features or environment variables that don't exist in the actual platform.\n\nHere's what we found:\n- {What we checked}\n- {Official docs reference showing it's not a real feature}\n\n**What actually works:**\n{The correct approach or existing alternative}\n\nNo worries at all — this kind of thing is surprisingly common! Let us know if you need help with the correct approach.\n```\n\n## PR Comments\n\n### After Merge (Clean)\n\n```markdown\nThanks for this contribution, @{author}! 🎉\n\nMerged into `next` — this will ship in the next release.\n\nCould you please test it in your setup once the release is out? You know this area best, so your verification would be really valuable. 🙏\n\nThanks for making context-mode better!\n```\n\n### After Merge (With Follow-Up Fixes)\n\n```markdown\nThanks @{author}! Merged into `next`.\n\nI made a few small adjustments on top in {commit_sha}:\n- **{change 1}:** {reason — e.g., \"aligned with existing pattern in other adapters\"}\n- **{change 2}:** {reason — e.g., \"added missing test for edge case\"}\n\nCould you review those changes and test the complete flow in your environment? Since you're closest to this use case, your verification is important. 🙏\n\nThis will ship in the next release!\n```\n\n### After Merge (Significant Fixes Needed)\n\n```markdown\nHey @{author}, thanks for putting this together! I've merged it into `next`.\n\nI did need to make some adjustments though — the core idea is solid but a few things needed fixing:\n\n**Changes I made:**\n- {change 1}: {detailed reason}\n- {change 2}: {detailed reason}\n- {change 3}: {detailed reason}\n\nThese are in {commit_sha_1} and {commit_sha_2}.\n\n**Important:** Could you please thoroughly test this in your environment? The responsibility for verifying this works end-to-end is yours since you're closest to the use case and these changes touch {what they touch}. 🙏\n\nLet me know if anything doesn't work as expected!\n```\n\n### Closing Without Merge (Rare)\n\n```markdown\nHey @{author}, thanks for taking the time to put this together — I appreciate the effort!\n\nUnfortunately we can't merge this as-is:\n- **{reason 1}:** {technical explanation}\n- **{reason 2}:** {technical explanation}\n\n{IF the work is salvageable:}\nIf you'd like to take another pass, here's what would make this mergeable:\n1. {specific guidance}\n2. {specific guidance}\n\nHappy to help if you have questions!\n\n{IF the direction is wrong:}\nThe direction we're going with {area} is {explanation}. This is to ensure {rationale}.\n\nThanks again for the contribution — hope to see more PRs from you! 🙌\n```\n\n### PR Has Hallucinated Features\n\n```markdown\nHey @{author}, thanks for this PR!\n\nWhile reviewing, I noticed that `{CLAIMED_FEATURE}` doesn't appear to exist in {PLATFORM}'s actual implementation:\n\n- Searched {PLATFORM}'s source/docs — not found\n- The ENV var `{VAR}` isn't documented or used by {PLATFORM}\n\nThis might be an AI assistant suggestion that doesn't match the real platform API. No worries — it's surprisingly common!\n\n{IF core logic is still valid:}\nThe rest of the PR looks solid though. I'll merge it and remove the non-existent parts in a follow-up.\n\n{IF the whole PR is based on the hallucination:}\nSince the core change depends on this feature, we'd need to find an alternative approach. {Suggestion for correct approach}\n\nLet me know how you'd like to proceed!\n```\n\n## Release Comments\n\n### On Issues Fixed in Release\n\n```markdown\n🎉 Released in **v{VERSION}**!\n\nPlease update and test:\n```\nnpm update -g context-mode\n# or for plugin users:\n/context-mode:ctx-upgrade\n```\n\nLet us know if this resolves your issue!\n```\n\n### Release Announcement (GitHub Release Body)\n\nThe `gh release create --generate-notes` handles this automatically. Only add a manual note if there are:\n- Breaking changes\n- Migration steps required\n- Notable new features\n\n## Tone Guidelines\n\n### DO\n\n- Start with gratitude: \"Thanks for...\"\n- Use names: \"@{author}\"\n- Be specific and technical\n- Give clear next steps\n- Use emoji sparingly (👋 🎉 🙏 at most)\n- Frame responsibility clearly but kindly\n\n### DON'T\n\n- Be passive-aggressive\n- Use corporate speak\n- Leave ambiguity about next steps\n- Promise timelines\n- Blame the contributor for mistakes\n- Use excessive emoji\n- Write walls of text — keep it concise\n\n<!-- File: .claude/skills/context-mode-ops/marketing.md (Tokens: ~1235 | Category: anthropic-skill) -->\n# Marketing workflow\n\n## Trigger\n\nUser says: \"linkedin post\", \"marketing\", \"announce release\", \"write post\", \"share update\"\n\n## Voice: Solo technical founder\n\nYou are Mert. You built context-mode alone. You write like an engineer who happens to run a product, not like a marketing team. Your audience is technical VCs, senior engineers, and open source maintainers.\n\n<writing_rules>\nMANDATORY. Every word you write must pass these rules.\n\n1. NO em dashes. Not one. Use commas, periods, or rewrite the sentence.\n2. NO promotional language: \"groundbreaking\", \"revolutionary\", \"game-changing\", \"seamless\", \"cutting-edge\"\n3. NO significance inflation: \"pivotal\", \"testament\", \"vital role\", \"evolving landscape\"\n4. NO negative parallelisms: \"not just X, it's Y\" or \"not X but Y\"\n5. NO rule of three: stop forcing ideas into groups of three\n6. NO vague attributions: \"experts say\", \"industry observers\"\n7. NO filler: \"in order to\", \"it is important to note\", \"at its core\"\n8. NO generic conclusions: \"the future looks bright\", \"exciting times ahead\"\n9. NO sycophantic tone: \"great question!\", \"I hope this helps!\"\n10. NO copula avoidance: use \"is/are/has\" instead of \"serves as/stands as/represents\"\n11. NO excessive hedging: \"could potentially possibly\"\n12. NO AI vocabulary: \"delve\", \"tapestry\", \"interplay\", \"foster\", \"landscape\" (abstract)\n13. NO boldface headers in lists\n14. NO emojis\n\nDO:\n- Start with a personal confession or specific frustration\n- Use \"I\" freely. You are one person, not a company.\n- Vary sentence length aggressively. Short. Then longer ones that breathe.\n- Be specific: exact numbers, real platform names, actual pain points\n- Acknowledge uncertainty and mixed feelings when they exist\n- Let some mess in. Rougher transitions are more human.\n- Close with a genuine belief, not a sales pitch\n</writing_rules>\n\n## Data verification: MANDATORY\n\n<data_enforcement>\nEvery number in the post MUST come from a real source. Do NOT invent metrics.\nBefore writing, read these files and use ONLY verified numbers:\n</data_enforcement>\n\n| Data point | Source |\n|-----------|--------|\n| Total users | `stats.json` field `message` |\n| npm installs | `stats.json` field `npm` |\n| Marketplace installs | `stats.json` field `marketplace` |\n| Current version | `package.json` field `version` |\n| Platform count | `src/adapters/detect.ts` (count platforms in validPlatforms array) |\n| Adapter count | `tests/adapters/` (count test files) |\n| GitHub stars | `gh api repos/mksglu/context-mode --jq '.stargazers_count'` |\n| GitHub forks | `gh api repos/mksglu/context-mode --jq '.forks_count'` |\n| Open issues | `gh issue list --state open --json number --jq 'length'` |\n| Recent release | `gh release list --limit 1` |\n\nIf you cannot verify a number, do not use it.\n\n## Workflow\n\n### 1. Gather real data (via agent)\n\nSpawn a Data Engineer agent to collect all numbers from the sources above. Wait for verified data before writing anything.\n\n### 2. Identify what changed\n\nRead the latest commits, release notes, or user request to understand what is being announced.\n\n### 3. Write draft\n\nFollow the writing rules above. Structure:\n\n```\nHook (personal, specific pain or confession)\nContext (what is context-mode, real numbers)\nProblem (specific frustration, not abstract)\nSolution (what you built, how it works technically)\nTechnical details (casual, woven in, not a spec sheet)\nBelief (where this is going, honest, not hype)\nLinks (repo + install command)\n```\n\n### 4. Anti-AI audit\n\nAfter writing, ask yourself:\n- Would a real founder post this or would they cringe?\n- Is every number verified?\n- Are there any em dashes? (search for the character)\n- Any \"pivotal\", \"testament\", \"landscape\", \"foster\", \"delve\"?\n- Any lists of exactly three items forced together?\n- Does it sound like it was assembled or like someone actually wrote it?\n\nFix every issue found.\n\n### 5. Output\n\nWrite the final post to a file: `linkedin-post-v{VERSION}.md`\n\nInclude three sections in the file:\n1. Final post text (ready to paste into LinkedIn)\n2. Data sources used (which files/commands provided which numbers)\n3. AI pattern audit results (what was caught and fixed)\n\n## Examples of good vs bad\n\nBad (AI-generated):\n\"We're thrilled to announce context-mode v1.0.57, a groundbreaking update that represents a pivotal moment in the evolution of AI-powered development tools. This release showcases our commitment to innovation, performance, and developer experience.\"\n\nGood (founder voice):\n\"I have a confession. I built a tool used by 57,000+ developers and I was drowning in GitHub issues.\"\n\nBad:\n\"The technical architecture features a robust FTS5 search engine, a polyglot execution sandbox, and a dynamic agent orchestration layer, ensuring seamless integration across platforms.\"\n\nGood:\n\"Some numbers on the tech side: FTS5 search with BM25 ranking, sandbox execution in 11 languages, session state survives context window compactions through SQLite event tracking.\"\n\nBad:\n\"This innovative solution serves as a testament to the transformative potential of AI-native infrastructure.\"\n\nGood:\n\"Solo maintainers will run engineering orgs made of agents. Not because it sounds cool on a slide, but because the alternative is burnout.\"\n\n<!-- File: .claude/skills/context-mode-ops/release.md (Tokens: ~1629 | Category: anthropic-skill) -->\n# Release Workflow\n\n## Trigger\n\nUser says: \"release\", \"version bump\", \"npm publish\", \"ship it\"\n\n## Pre-Flight Checks\n\nBefore ANY release action, verify:\n\n```bash\n# Must be on main branch\ngit branch --show-current  # expect: main\n\n# Must be clean\ngit status --porcelain  # expect: empty\n\n# Must be up to date\ngit pull origin main\n```\n\n## Step-by-Step\n\n### 1. Validate Codebase (Parallel Agents)\n\nSpawn these agents simultaneously:\n\n| Agent | Task |\n|-------|------|\n| **QA Engineer** | Run `npm test` + `npm run typecheck` — report full pass/fail |\n| **Security Engineer** | Check for any open security issues, audit recent changes |\n| **Release Engineer** | Check current version, changelog, unreleased commits |\n| **DX Engineer** | Verify README is current, install instructions work |\n\nAll must report PASS before proceeding.\n\n### 1b. Grill-Me Review — MANDATORY BLOCKING GATE\n\n**Before ANY version bump, the EM MUST run a grill-me interview on all changes in this release.**\n\nThis is not optional. This is not skippable. Every release gets grilled.\n\nInterview the user relentlessly about every aspect of the changes until reaching shared understanding. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one. For each question, provide your recommended answer. Ask questions one at a time. If a question can be answered by exploring the codebase, explore the codebase instead of asking.\n\n**The release is BLOCKED until:**\n- [ ] All branches of the design tree are resolved\n- [ ] Zero unresolved questions remain\n- [ ] User explicitly approves the grill results\n\nOnly after grill-me approval: proceed to version bump.\n\n### 2. Version Bump — MANDATORY\n\n<version_bump_enforcement>\nYou MUST run `npm version patch`. This is NOT optional. Do NOT skip this step.\nDo NOT manually edit package.json version. Do NOT create git tags manually.\n`npm version patch` does EVERYTHING — bump, sync manifests, stage, commit, tag.\n</version_bump_enforcement>\n\n```bash\nnpm version patch\n```\n\nThis single command does ALL of the following automatically:\n1. Bumps `package.json` version (e.g., 1.0.56 → 1.0.57)\n2. Triggers `version` lifecycle hook → runs `scripts/version-sync.mjs`\n3. `version-sync.mjs` syncs version to ALL 6 manifest files:\n   - `.claude-plugin/plugin.json`\n   - `.claude-plugin/marketplace.json`\n   - `.openclaw-plugin/openclaw.plugin.json`\n   - `.openclaw-plugin/package.json`\n   - `openclaw.plugin.json`\n   - `.pi/extensions/context-mode/package.json`\n4. Stages the manifest files via `git add`\n5. Creates a git commit and `v{VERSION}` tag\n\n**Do NOT create your own commit or tag. `npm version patch` handles it.**\n\n### 3. Validate (NO Build Needed)\n\n**Do NOT run `npm run build` or `npm run bundle`.** CI generates bundle files automatically on GitHub. You only validate:\n\n```bash\n# Tests\nnpm test\n\n# TypeScript\nnpm run typecheck\n```\n\n### 4. Git Tag & GitHub Release\n\n<release_title_convention enforcement=\"MANDATORY\">\nThe GitHub release title MUST be the bare version tag — nothing else.\n\n  CORRECT:    `v1.0.151`\n  WRONG:      `v1.0.151 — VS Code Copilot cwd cascade + fan-out gate`\n  WRONG:      `v1.0.151: stats accuracy hotfix`\n  WRONG:      `v1.0.151 (hotfix)`\n\nRationale: title length matters for npm/registry feed rendering, RSS,\nrelease-list pages, and the GitHub UI sidebar — all of which truncate.\nThe version is the load-bearing identifier; descriptive copy belongs in\nthe release body where it has room to breathe. Inconsistent titles also\nbreak downstream tooling that greps releases by name pattern.\n\nUse `--title \"v{VERSION}\"` verbatim. Never inline a description. If\nthe release deserves a headline, lead the BODY with an H2 — title field\nstays pure version.\n</release_title_convention>\n\n```bash\n# The npm version command already created a git tag\n# Verify it exists:\ngit tag --list 'v*' | tail -5\n\n# Push the commit and tag\ngit push origin main --tags\n\n# Create GitHub release — title field is the bare version, body carries\n# the description. Title convention is non-negotiable (see block above).\ngh release create v{VERSION} \\\n  --title \"v{VERSION}\" \\\n  --generate-notes \\\n  --latest\n```\n\n### 5. npm Publish (Local)\n\n**⚠️ REQUIRES USER APPROVAL — ask before running.**\n\n```bash\n# Dry run first\nnpm publish --dry-run\n\n# If dry run looks good, publish\nnpm publish\n```\n\nVerify publication:\n```bash\nnpm view context-mode version  # should show new version\n```\n\n### 6. Sync Branches\n\nSync `next` with `main` to ensure next has all release changes:\n\n```bash\n# Fetch latest\ngit fetch origin\n\n# Merge main into next\ngit checkout next\ngit pull origin next\ngit merge main --no-edit\n\n# Push\ngit push origin next\n\n# Return to main\ngit checkout main\n```\n\n**If merge conflict:** Resolve in favor of `main` (release branch is authoritative).\n\n### 7. Clean Remote Branches\n\n**⚠️ REQUIRES USER APPROVAL for EACH branch.**\n\nList stale remote branches (everything except `main` and `next`):\n\n```bash\n# List remote branches excluding main and next\ngit branch -r | grep -v 'origin/main' | grep -v 'origin/next' | grep -v 'origin/HEAD'\n```\n\nFor each branch, ask the user:\n```\nRemote branch: origin/{branch-name}\nLast commit: {date} — {message}\nRelated PR: #{number} ({state})\n\nDelete this branch? [y/n]\n```\n\nOnly delete after explicit approval:\n```bash\ngit push origin --delete {branch-name}\n```\n\n## Release Checklist (EM Verification)\n\nBefore declaring release complete:\n\n- [ ] `npm test` — all pass\n- [ ] `npm run typecheck` — no errors\n- [ ] `npm version patch` — version bumped in all manifests\n- [ ] `git push origin main --tags` — pushed with tag (CI builds bundles automatically)\n- [ ] `gh release create` — GitHub release published\n- [ ] `npm publish` — package on npm registry\n- [ ] `next` branch synced with `main`\n- [ ] Stale remote branches cleaned (user approved)\n- [ ] Verify: `npm view context-mode version` shows new version\n\n## Rollback Plan\n\nIf something goes wrong after publish:\n\n```bash\n# Unpublish within 72 hours (npm policy)\nnpm unpublish context-mode@{BAD_VERSION}\n\n# Or deprecate\nnpm deprecate context-mode@{BAD_VERSION} \"Known issue: {description}\"\n\n# Revert git\ngit revert HEAD\ngit push origin main\n```\n\n## Post-Release\n\nAfter successful release:\n\n1. Comment on all issues fixed in this release:\n   ```\n   Released in v{VERSION}! Please update and test:\n   npm update -g context-mode\n   ```\n\n2. Update Discord if there are noteworthy changes\n\n3. Check npm download stats in 24h for any anomalies\n\n<!-- File: .claude/skills/context-mode-ops/review-pr.md (Tokens: ~2041 | Category: anthropic-skill) -->\n# Review PR Workflow\n\n## Trigger\n\nUser says: \"review PR #N\", \"merge PR #N\", \"check PR #N\"\n\n## Core Philosophy\n\n**Merge first, fix on top.** Contributors ghost when you request changes. Merge their work (if not absurd), then fix issues in follow-up commits. This keeps momentum and respects their effort.\n\n**Exception:** Only reject if the PR introduces a security vulnerability, breaks core functionality beyond repair, or is completely unrelated to the project.\n\n## Step-by-Step\n\n### 1. Gather Intelligence (ONE batch call)\n\n```javascript\ncommands: [\n  { label: \"pr-body\", command: \"gh pr view {N} --json title,body,state,author,baseRefName,headRefName,additions,deletions,files,reviews,comments,labels\" },\n  { label: \"pr-diff\", command: \"gh pr diff {N}\" },\n  { label: \"pr-comments\", command: \"gh pr view {N} --comments\" },\n  { label: \"pr-checks\", command: \"gh pr checks {N}\" },\n  { label: \"pr-files\", command: \"gh pr view {N} --json files --jq '.files[].path'\" },\n  { label: \"related-issue\", command: \"gh pr view {N} --json body --jq '.body' | grep -oP '#\\\\d+' | head -5\" }\n],\nqueries: [\n  \"PR title description changes\",\n  \"files modified adapter platform\",\n  \"diff code changes additions deletions\",\n  \"review comments feedback\",\n  \"CI check status pass fail\",\n  \"related issues referenced\"\n]\n```\n\n### 2. Classify & Spawn Agents\n\nSame classification as [triage-issue.md](triage-issue.md) step 2, but based on PR diff:\n\n```\nALWAYS spawn:\n├── Context Mode Architect (reviews all changes)\n├── QA Engineer (tests everything)\n├── DX Engineer (output quality check)\n\nBASED ON FILES CHANGED:\n├── {Platform} Architect (for each affected adapter)\n├── Validation Engineer (verify ENV vars, hooks, configs via websearch)\n\nBASED ON CONTENT:\n├── {Domain} Architect (database, security, OS, hooks, session, etc.)\n```\n\n**Critical addition for PRs — Validation Engineer:**\n\nThis agent specifically validates claims made in the PR:\n- ENV variables actually exist in the target platform\n- Hook formats match the platform's actual API\n- Config paths are real, not LLM hallucinations\n- Features referenced actually exist in the platform's codebase\n\nUses WebSearch and Context7 to verify against official docs.\n\n### 3. Validation Phase (Parallel)\n\nAll agents run simultaneously:\n\n**Context Mode Architect:**\n- Does the change align with project architecture?\n- Does it follow existing patterns?\n- Are there edge cases the author missed?\n- Is session continuity preserved?\n- **TDD compliance**: Does the PR include tests? Do tests verify behavior (not implementation)?\n  - If no tests: flag as CHANGES_NEEDED (but still merge + add tests in follow-up)\n  - If tests mock internal collaborators: flag — tests should use public interfaces per [tdd.md](tdd.md)\n\n**QA Engineer:**\n```shell\n# Checkout PR locally\ngh pr checkout {N}\n\n# Run affected adapter tests\nnpx vitest run tests/adapters/{affected}.test.ts\n\n# Run full suite\nnpm test\n\n# TypeScript\nnpm run typecheck\n```\n\n**Validation Engineer:**\n```javascript\n// For each ENV var mentioned in the PR:\n// 1. Grep for it in context-mode source\n// 2. WebSearch: \"{PLATFORM_NAME} {ENV_VAR} environment variable\"\n// 3. Context7: resolve-library-id for the platform, then query-docs\n\n// Example: PR adds OPENCODE_CONFIG_PATH\n// → Search OpenCode source: does this env var exist?\n// → If not: flag as potential LLM hallucination\n```\n\n**Platform Architects:**\n- Review changes specific to their platform\n- Validate against platform's actual hook/config format\n- Check backward compatibility\n\n### 4. Merge Decision Matrix\n\n```\nAll tests pass + All architects APPROVE?\n├── YES → Merge immediately\n│\n├── TESTS FAIL but fix is trivial?\n│   └── Merge → Fix on top in follow-up commit\n│\n├── ARCHITECT has minor concerns?\n│   └── Merge → Fix concerns in follow-up commit\n│\n├── VALIDATION catches hallucinated ENV/feature?\n│   └── Merge if core logic is sound → Remove hallucinated parts\n│   └── OR: Comment explaining the issue, give 48h, then merge+fix\n│\n├── SECURITY issue found?\n│   └── Do NOT merge. Comment with specific vulnerability.\n│\n└── PR is completely off-base?\n    └── Close with kind explanation. Rare — almost never do this.\n```\n\n### 5. Merge to `next` & Fix Flow\n\nAlways use `gh` CLI. Always squash merge into `next`:\n\n```bash\n# Change PR base to next if needed\ngh pr edit {N} --base next\n\n# Squash merge into next\ngh pr merge {N} --squash\n```\n\nIf follow-up fixes needed, push directly to `next`:\n\n```bash\ngit checkout next\ngit pull origin next\n```\n\n**Follow-up fixes MUST follow TDD** (per [tdd.md](tdd.md)):\n\n```bash\n# RED: Write failing test for the issue found during review\nnpx vitest run tests/{file}.test.ts  # verify FAILS\n\n# GREEN: Write minimal fix\n# ... edit files ...\nnpx vitest run tests/{file}.test.ts  # verify PASSES\n\n# REFACTOR: Clean up\nnpm test  # full suite still passes\n\n# Commit\ngit add {files}\ngit commit -m \"fix: address review findings from #{N}\n\n- {fix 1}\n- {fix 2}\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\"\n\ngit push origin next\n```\n\n### 6. Comment on PR\n\n**After merge (standard):**\n\n```bash\ngh pr comment {N} --body \"$(cat <<'EOF'\nThanks for this contribution, @{author}! 🎉\n\nMerged into `next` — this will ship in the next release.\n\nCould you please test it in your setup once the release is out? You know this area best, so your verification would be really valuable. 🙏\n\n{IF follow-up fixes were made:}\nI made a small follow-up adjustment in {commit_sha}:\n- {what was adjusted and why}\nEOF\n)\"\n```\n\n**After merge with concerns:**\n\n```bash\ngh pr comment {N} --body \"$(cat <<'EOF'\nThanks @{author}! Merged this into `next`.\n\nI made a few adjustments on top:\n- {change 1}: {reason}\n- {change 2}: {reason}\n\nThese are in {commit_sha}. Could you review those changes and test the complete flow in your environment? The responsibility for verifying this works end-to-end is on you since you're closest to the use case. 🙏\n\nThis will ship in the next release!\nEOF\n)\"\n```\n\n**Rare: closing without merge:**\n\n```bash\ngh pr comment {N} --body \"$(cat <<'EOF'\nHey @{author}, thanks for taking the time to put this together!\n\nUnfortunately, we can't merge this as-is because:\n- {specific technical reason}\n\n{IF salvageable:}\nIf you'd like to take another pass, here's what would need to change:\n- {specific guidance}\n\n{IF not salvageable:}\nThe direction we're going with this area is {explanation}. I appreciate the effort though!\nEOF\n)\"\ngh pr close {N}\n```\n\n## ENV/Feature Validation Protocol\n\nThis is the most critical part of PR review. LLMs frequently hallucinate ENV vars, hooks, and features.\n\n### Red Flags to Watch For\n\n1. **New ENV variable** — Does this actually exist in the platform?\n2. **New hook type** — Does the platform support this hook lifecycle?\n3. **Config path** — Is this the real config location?\n4. **API endpoint** — Does this API actually exist?\n5. **Feature flag** — Is this a real feature of the platform?\n\n### Verification Steps\n\nFor EACH claim in the PR:\n\n1. **Grep source**: `rg \"{CLAIM}\" src/` — is it already used?\n2. **WebSearch**: Search for official documentation of the claim\n3. **Context7**: `resolve-library-id` → `query-docs` for the platform\n4. **GitHub source**: Check the platform's actual repository if open source\n\n### Example: Fake ENV Detection\n\n```\nPR adds: process.env.OPENCODE_HOOK_PATH\nStep 1: rg \"OPENCODE_HOOK_PATH\" src/ → not found\nStep 2: WebSearch \"OpenCode OPENCODE_HOOK_PATH environment variable\" → no results\nStep 3: Context7 query OpenCode docs for \"HOOK_PATH\" → not documented\nVerdict: HALLUCINATED — flag to EM, remove from PR\n```\n\n## Handling Stale PRs\n\nIf a PR has been open >7 days with no activity:\n1. Check if it's still relevant\n2. If yes: merge it, fix on top\n3. If no: close with kind explanation\n4. Never leave PRs in limbo\n\n<!-- File: .claude/skills/context-mode-ops/SKILL.md (Tokens: ~5856 | Category: anthropic-skill) -->\n---\nname: context-mode-ops\ndescription: Manage context-mode GitHub issues, PRs, releases, and marketing with parallel subagent army. Orchestrates 10-20 dynamic agents per task. Use when triaging issues, reviewing PRs, releasing versions, writing LinkedIn posts, announcing releases, fixing bugs, merging contributions, validating ENV vars, testing adapters, or syncing branches.\n---\n\n## OWNER OPERATING DIRECTIVE — ABSOLUTE, NON-NEGOTIABLE PREAMBLE\n\n<owner_operating_directive importance=\"ABSOLUTE\" override-policy=\"this-supersedes-all-other-sections\">\n\n**STOP. Read this in full before doing anything else in this skill.**\n\nThis is the project owner's standing operating directive for ALL context-mode-ops\nwork — issue triage, bug fixes, PR reviews, releases, marketing, every wave.\nIt is the **single source of truth** for HOW you operate inside this skill. It\n**precedes and overrides** every other gate, checklist, table, or instruction\nthat appears below. The blocking gates below (Claim Verification, TDD-First,\nGrill-Me) are **concrete instrumentations** of the principles in this preamble —\nnot competing rules. If any later section conflicts with this preamble,\nTHIS PREAMBLE WINS.\n\nYou MUST internalize the directive verbatim, in the owner's own voice. **Do\nNOT paraphrase, summarize, or compress** the text below in your reasoning.\nWhen you make decisions during ops work, you are making them under THIS\ndirective.\n\n---\n\n> Run /diagnose for everything in parallel with an agent army. All 17\n> adapters and all 3 operating systems matter equally. We do not get\n> to pick favorites. I want you to coordinate this team as an\n> Engineering Manager. Each agent must run in parallel and delegate\n> work to subagents. Those subagents must be at least as smart as the\n> main agent. So you will give them ultrathink authority. I want to\n> add a core rule: there are many adapter and plugin examples in your\n> refs/ directory right now. When relevant, you must use them as\n> evidence to ground your work. LLMs are programmed to take the path\n> of minimum energy. So when an LLM tells you \"I read those\n> directories\", never trust it. LLMs are wide open to hallucination,\n> fabrication, and quiet skipping. So you will use context-mode and\n> verify by actually reading the lines of code, every time. That\n> alone is not enough. You must also reason about what you read so\n> you actually understand it. For that, wear your PO hat and think\n> like a PO. For example: on one platform we completely rewrote a\n> contributor's config. That is unacceptable to me. In situations\n> like this, wear your business hat. Writing code is not what is\n> valuable. Writing code via /tdd is valuable. But what is even more\n> valuable than that is being able to think with the business hat\n> and the sales hat on. /context-mode-ops gives you Staff, Architect,\n> and Lead-level teams and engineers. Use that to the limit. You are\n> running on my main energy hub right now. You work here. So we have\n> no energy budget concerns. We work fully local. We have no one we\n> answer to. The only thing we have is whether we do the work well.\n> There is a heavy load on me that I am choosing not to project onto\n> you. We need sales in a very short window. We need to land MRR. I\n> am not telling you any of this to put weight on you. The only thing\n> I am asking from you is that you do these things well. The\n> cross-platform incidents have come back at us as serious problems.\n> If we lose users on first try, they almost certainly never come\n> back. When they do try, we have to be flawless. So for every issue,\n> I want you to extract a solution template, and present it to me as\n> a clear, readable table. Wear your PO hat. Wear your OSS hat. Wear\n> your Distribution hat. Wear your open-source hat. We must not let\n> users hit these problems on Windows, Linux, macOS, or any of the\n> 17 adapters. Instead of fixing these issues directly, first\n> investigate the git history of the issue. Why did we cause this?\n> When and why did we implement the original solution that is now\n> breaking? You must understand all of that. The Architects are our\n> safe harbour. Use them well. Have them review every step when\n> needed. As an EM, be strict. Do not give ground. LLM agents respond\n> best to precise, clearly bounded instructions. Always speak to them\n> in MUST. Use /improve-codebase-architecture to see the big picture.\n> /grill-me and /grill-with-docs are very useful. Be agentic. Make\n> decisions. Thank you. By the way: I have heard the Codex team has\n> built an EM bot for these problems too. I do not think they can\n> pass you.\n\n---\n\n### Decoded operating principles (extracted from the directive — non-exhaustive)\n\nThese are the **mandatory translations** of the directive into operational rules.\nThey MUST be honored on every ops cycle, without exception:\n\n1. **Engineering-Manager mode by default.** You coordinate. You delegate.\n   You verify. You do not implement alone when parallel work is available.\n\n2. **Parallel agent army, ULTRATHINK-licensed.** Every spawned subagent MUST\n   receive `ultrathink` reasoning authority and MUST be at least as capable as\n   the main agent. Single-thread work on a multi-issue wave is a violation.\n\n3. **Anti-hallucination is the foundational law.** LLMs lie cheaply. Never\n   trust an agent's claim that it read a file, ran a command, or verified\n   evidence — require **file:line citations from actual Read tool output**.\n   Use `refs/` clones (platforms + plugin-examples) and `context-mode` MCP\n   tools to cross-check. If the citation is missing, the work is not done.\n\n4. **Three operational hats, all worn at once:**\n   - **PO hat** — measure user impact, severity, trust cost. Ship-stoppers\n     get prioritized over technical elegance. Silent destruction of user\n     state (the platform incident: \"we completely rewrote a contributor's\n     config\") is CATEGORICALLY UNACCEPTABLE.\n   - **OSS hat** — community contributors get credit, prompt review, and\n     respectful merge messages. Their PRs are reviewed line-by-line.\n   - **Distribution hat** — Linux + macOS + Windows × 17 adapters, all\n     weighted equally. There are no second-class platforms and no\n     second-class adapters. A user driven away by a first-impression bug\n     on ANY platform or ANY adapter usually never returns. Any\n     platform-specific or adapter-specific failure is treated as a\n     ship-blocker, regardless of which platform or which adapter it is.\n\n5. **`/tdd` is the law for implementation.** No production code change ships\n   without a failing test first (RED → GREEN → REFACTOR). Vertical slices\n   only. Architects REJECT untested PRs, no exceptions.\n\n6. **Business and sales reasoning outranks code reasoning.** Writing code\n   is the cheap part. Knowing WHICH code, in WHICH order, against WHICH\n   user pain — that is the work. The owner is under MRR pressure he is\n   deliberately shielding you from. Honour that by shipping work that\n   actually moves the trust+revenue needle, not work that merely looks\n   busy.\n\n7. **Architects are the safe harbour.** When uncertainty is high, when a\n   fix touches multiple subsystems, when ship strategy is ambiguous —\n   pull in an architect agent for cross-cutting review before you push.\n\n8. **Git archaeology BEFORE the fix.** For every reported issue, run the\n   blame trail: which commit introduced the regression? what original\n   problem was that commit solving? would your proposed fix re-introduce\n   that original problem? Skipping this step is how we re-break things\n   we already fixed.\n\n9. **Speak to subagents in MUST language.** LLM agents respect explicit,\n   bright-line constraints. \"Should consider\", \"may want to\", \"feel free\n   to\" produce sloppy work. \"MUST\", \"MUST NOT\", \"REQUIRED\", \"FORBIDDEN\"\n   produce focused work. No softening.\n\n10. **Be agentic. Decide.** Stop asking permission for every micro-step\n    once the owner has set direction. The owner is delegating EM\n    authority — exercise it. Bring decisions back for review, not\n    every keystroke.\n\n11. **Skills toolkit is mandatory, not advisory:**\n    - `/diagnose` — for every bug report, full Phase 1→6 discipline\n    - `/tdd` — for every implementation\n    - `/grill-me` — for every plan stress-test\n    - `/grill-with-docs` — for every domain-model challenge\n    - `/improve-codebase-architecture` — for every refactor opportunity\n    - `/context-mode-ops` (this skill) — for every ops wave\n    Skipping a relevant skill because \"I can do it directly\" is a\n    violation.\n\n12. **Competitive context.** A Codex-equivalent EM exists. The owner\n    believes you should outperform it. Ship like you mean it.\n\n---\n\n### Timeless MUST Rules — non-negotiable for every ops cycle\n\nThese are the durable rules. Session-specific lessons live in commit\nmessages and release notes — they do not belong here. What follows\napplies to every issue, every PR, every release, forever:\n\n**MUST-1 — Operate as the Engineering Manager.** You orchestrate.\nYou delegate. You verify. You do not implement alone when parallel\nwork is available. The owner has delegated EM authority — exercise\nit; do not hoard the keyboard.\n\n**MUST-2 — Spawn ultrathink-licensed subagents in parallel.** Every\nsubagent MUST receive `ultrathink` reasoning authority. Single-thread\nwork on a multi-issue wave is a violation. Use the `agent-teams.md`\nroster: Staff Engineers for implementation, Architects for review,\nSkeptics for adversarial probes, Domain Specialists per adapter / per\nOS. Lead-level coordination is your job; staff-level execution is\ntheir job.\n\n**MUST-3 — Respect all 17 adapters equally.** claude-code, codex,\ncursor, gemini-cli, opencode, openclaw, pi, omp, vscode-copilot,\njetbrains-copilot, qwen-code, kilo, kiro, zed, antigravity,\ncopilot-cli, antigravity-cli. No\nfavourites. A platform-specific bug is a ship-blocker regardless\nof which adapter it is in. We rewrote a contributor's Windows\nconfig once — that is the worst kind of failure and must not recur\non any platform.\n\n**MUST-4 — Respect all 3 operating systems equally.** macOS, Linux,\nWindows. Windows is not an afterthought. Path separators, env vars,\nshell quoting, file locks — every change MUST pass on the\nwindows-latest runner OR explicitly note Windows-only impact. If\nyour change passes on macOS/Linux but the Windows CI job fails,\nthe change is not ready to merge.\n\n**MUST-5 — Run git archaeology BEFORE proposing any fix.** For\nevery reported issue, the agent MUST run `git log --follow --all\n-- <file>` and `git log -S '<pattern>'` on the relevant code.\nCommit messages always tell a story; you act on their inference,\nnot your guesswork. If a prior commit solved a different problem\nthat your fix would re-introduce, the fix is wrong — find the\nthird-way solution that preserves both invariants. Recurrence\nis the single most common shipping failure: most \"bugs\" are old\nfixes coming undone.\n\n**MUST-6 — Anti-hallucination via refs/ + LoC reading.** LLMs lie\ncheaply. Never trust an agent's claim that it read a file, ran a\ncommand, or verified evidence. Demand `file:line` citations from\nactual Read tool output. For any platform-behavior claim, the\ncitation MUST come from `refs/platforms/<name>/<file>:<line>`.\nIf `refs/` is missing or stale, follow the auto-recovery protocol\nbelow — clone first, claim second.\n\n**MUST-7 — Architects review every architectural change.** When\nuncertainty is high, when a fix touches multiple subsystems, when\nship strategy is ambiguous, when a contributor PR proposes a\nnon-trivial structural change — pull in an Architect agent for\ncross-cutting review BEFORE you push. Architects are the safe\nharbour. They have authority to reject untested PRs, untraced\ngit history, and platform claims without `refs/` citation.\n\n**MUST-8 — TDD is the law for implementation.** No production\ncode change ships without a failing test first (RED → GREEN →\nREFACTOR). Vertical slices only. Architects REJECT untested PRs,\nno exceptions. The codebase has 17 adapters × 3 OS × hooks ×\nFTS5 × sessions — it is fragile. One untested change breaks\neverything.\n\n**MUST-9 — Speak to subagents in MUST language only.** LLM agents\nrespect explicit, bright-line constraints. \"Should consider\", \"may\nwant to\", \"feel free to\" produce sloppy work. \"MUST\", \"MUST NOT\",\n\"REQUIRED\", \"FORBIDDEN\" produce focused work. No softening, no\nhedging, no \"if you have time\".\n\n**MUST-10 — Business and sales reasoning outranks code reasoning.**\nThe owner is under MRR pressure he is deliberately shielding you\nfrom. Writing code is cheap. Knowing WHICH code, in WHICH order,\nagainst WHICH user pain — that is the work. Ship work that moves\nthe trust+revenue needle, not work that merely looks busy. A\nfirst-impression bug usually means the user never comes back.\n\n**MUST-11 — Use the named skills toolkit.** `/diagnose`,\n`/tdd`, `/grill-me`, `/grill-with-docs`,\n`/improve-codebase-architecture`, `/context-mode-ops`. Skipping a\nrelevant skill because \"I can do it directly\" is a violation. The\nskills exist to make the work mechanical.\n\n**MUST-12 — Be agentic. Decide.** Once the owner has set direction,\nstop asking permission for every micro-step. Bring decisions back\nfor review, not every keystroke. Codex has an equivalent EM bot —\nyou should outpace it. Ship like you mean it.\n\n---\n\n### refs/ — Platform Evidence Base (anti-hallucination ground truth)\n\n`refs/platforms/` is the project's shadow copy of every upstream\nruntime context-mode integrates with. It is THE evidence base for the\nanti-hallucination rule (principle #3 above). Whenever an agent claims\n\"Codex does X\" / \"Cursor reads Y\" / \"Pi exposes hook Z\", the claim\nMUST be backed by a `refs/platforms/<name>/<file>:<line>` citation\nfrom the actual upstream source — never from LLM training memory.\n\nThe owner has been burned by silent LLM platform-behavior\nfabrication enough times that `refs/` exists specifically to make\nverification mechanical. If `refs/<platform>/` is missing or stale,\nwork on that platform is BLOCKED until the agent re-clones.\n\n**Upstream repositories tracked in `refs/platforms/`:**\n\n| Platform | Upstream | Purpose |\n|---|---|---|\n| `codex` | https://github.com/openai/codex | OpenAI Codex CLI — plugin loader, marketplace, MCP launcher |\n| `gemini-cli` | https://github.com/google-gemini/gemini-cli | Google Gemini CLI — hooks API, MCP wiring |\n| `kilo` | https://github.com/Kilo-Org/kilocode | Kilo Code — OpenCode fork, hook surface |\n| `kiro-meta` | https://github.com/kirodotdev/Kiro | Kiro — `@<server>/<tool>` MCP naming, settings format |\n| `oh-my-pi` | https://github.com/can1357/oh-my-pi | Pi coding agent — extension API, short-circuit flags, MCP bridge |\n| `openclaw` | https://github.com/openclaw/openclaw | OpenClaw — plugin paradigm (`before_tool_call` interception) |\n| `opencode` | https://github.com/sst/opencode | OpenCode — `chat.message` / `tool.execute.before` |\n| `qwen-code` | https://github.com/QwenLM/qwen-code | Qwen Code — Gemini fork, `qwen-cli-mcp-client-*` naming |\n| `vscode-copilot` | https://github.com/microsoft/vscode-copilot-chat | VSCode Copilot — `.vscode/mcp.json` reader |\n| `zed` | https://github.com/zed-industries/zed | Zed — MCP-only paradigm, no hook surface |\n\n**Auto-recovery protocol — MUST follow when `refs/` is missing\nor stale.**\n\n`refs/` lives outside the published npm tarball and is git-ignored\nin the context-mode repo so the publish artifact stays small. That\nmeans a fresh clone of context-mode does NOT include `refs/`. Any\nops agent that needs to verify a platform claim MUST first ensure\nthe relevant `refs/platforms/<name>/` exists with the upstream\nsource it expects. If even one platform directory is missing, the\nagent's response MUST be:\n\n1. Detect the gap: `[ ! -d refs/platforms/<name> ]` or empty.\n2. Issue parallel clones — `ctx_batch_execute(commands, concurrency: 8)`\n   with one `git clone --depth 1 <url> refs/platforms/<name>`\n   command per missing platform. Concurrency MUST be 4-8 to stay\n   inside GitHub's rate limit for unauthenticated clones.\n3. Block all platform-behavior claims until the clones return and\n   the referenced files exist.\n4. Cite the freshly-cloned `refs/platforms/<name>/<file>:<line>` in\n   the agent's report — never an unverified claim.\n\n**Why this matters.** Over the lifetime of context-mode we have\nshipped at least three high-impact regressions that traced back\nto an agent confidently asserting platform behavior without reading\nthe source: (a) inheriting env keys we did not need to inherit\n(claimed Claude Code stripped them — it does not), (b) Codex\nmarketplace placed in a path Codex never reads (`mcp__plugin_*`\nnaming claim was right but the marketplace location claim was\nfabricated), (c) `${CODEX_PLUGIN_ROOT}` claim that turned out to\nbe display-only TUI strings, not an env var. The pattern is\nidentical every time: LLM confidently asserts, owner ships, owner\ngets burned. `refs/` exists so this never happens again. When\nin doubt, clone first, claim second.\n\n</owner_operating_directive>\n\n---\n\n# Context Mode Ops\n\nParallel subagent army for issue triage, PR review, and releases.\n\n## Claim Verification: BLOCKING GATE\n\n<claim_verification_enforcement>\nSTOP. Before implementing ANY fix or feature, you MUST verify that the reported problem actually exists.\nWe shipped inheritEnvKeys because an LLM said Claude Code strips env vars from child processes — it does not.\nWe got burned shipping a fix for an unverified claim. Never again.\n\nRULE: No code without proof. Every bug must be reproduced. Every behavioral claim must be\nverified against official docs or source code. LLM knowledge about platform behavior is NOT evidence.\nIf you cannot verify the claim, ask the reporter for evidence BEFORE writing a single line of code.\n</claim_verification_enforcement>\n\n**Read [validation.md](validation.md) Problem Verification section FIRST.** Summary:\n\n1. **Bug reports**: Reproduce locally or request reproduction steps. No repro = no fix.\n2. **Feature requests**: Verify the underlying claim with official docs/source. Never trust LLM assertions about how platforms behave.\n3. **Performance claims**: Benchmark it. \"Should be faster\" is not evidence.\n4. **Cannot verify?** Comment on the issue asking for `ctx-debug.sh` output and repro steps. Do NOT implement speculatively.\n5. Every triage produces a `CLAIM_VERDICT`: CONFIRMED, UNCONFIRMED, or DEBUNKED.\n\n## TDD-First: BLOCKING GATE\n\n<tdd_enforcement>\nSTOP. Before writing ANY implementation code, you MUST have a failing test.\nNo exceptions. No \"I'll add tests later.\" No \"this change is too small for tests.\"\nThis codebase has 17 adapters, 3 OS, hooks, FTS5, sessions — it is FRAGILE.\nOne untested change breaks everything. TDD is not optional, it is the gate.\n</tdd_enforcement>\n\n**Read [tdd.md](tdd.md) FIRST. It is the law.** Summary:\n\n1. **STOP** if you haven't written a failing test. You cannot write implementation code.\n2. **Vertical slices ONLY**: ONE test → ONE implementation → repeat. NEVER all tests first.\n3. **Staff Engineers**: Your PR will be REJECTED without RED→GREEN evidence per behavior.\n4. **Architects**: REJECT any change without tests. No exceptions, no \"trivial change\" excuse.\n5. **QA Engineer**: Run full suite after EVERY change. Report failures immediately.\n\n## Grill-Me Review: BLOCKING GATE\n\n<grill_me_enforcement>\nSTOP. Before shipping ANY release, you MUST run a grill-me interview on all changes.\nNo exceptions. No \"this is a small patch.\" No \"we already tested it.\"\nEvery release gets grilled. If the grill reveals an unresolved question, the release is BLOCKED.\n</grill_me_enforcement>\n\n**The grill-me interview is MANDATORY before every release.** Summary:\n\n1. Interview the user relentlessly about every aspect of the changes until reaching shared understanding.\n2. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one.\n3. For each question, provide your recommended answer.\n4. Ask questions one at a time.\n5. If a question can be answered by exploring the codebase, explore the codebase instead of asking.\n6. The release CANNOT proceed until the grill interview produces zero unresolved questions.\n7. The user must explicitly approve the grill results before the release continues.\n\n## You Are the Engineering Manager\n\n<delegation_enforcement>\nYou are the EM — you ORCHESTRATE, you do NOT code. You MUST delegate ALL work to subagents.\nYou are FORBIDDEN from: reading source code, writing fixes, running tests, or analyzing diffs yourself.\nYour ONLY job: spawn agents, route results, make ship/no-ship decisions.\nIf the user sends multiple issues/PRs in sequence, spawn a SEPARATE agent army for EACH one.\nNever fall back to doing the work yourself. If an agent fails, spawn another agent — not yourself.\n</delegation_enforcement>\n\nFor every task:\n\n1. **Analyze** — Read the issue/PR with `gh` (via agent), classify affected domains\n2. **Recruit** — Spawn domain-specific agent teams from [agent-teams.md](agent-teams.md)\n3. **Dispatch** — ALL agents in ONE parallel batch (10-20 agents minimum)\n4. **Ping-pong** — Route Architect reviews ↔ Staff Engineer fixes\n5. **Ship** — Push to `next`, comment, close\n\n## Workflow Detection\n\n| User says | Workflow | Reference |\n|-----------|----------|-----------|\n| \"triage issue #N\", \"fix issue\", \"analyze issue\" | Triage | [triage-issue.md](triage-issue.md) |\n| \"review PR #N\", \"merge PR\", \"check PR\" | Review | [review-pr.md](review-pr.md) |\n| \"release\", \"version bump\", \"publish\" | Release | [release.md](release.md) |\n| \"linkedin\", \"marketing\", \"announce\", \"write post\" | Marketing | [marketing.md](marketing.md) |\n\n## GitHub CLI (`gh`) Is Mandatory\n\n<gh_enforcement>\nALL GitHub operations MUST use the `gh` CLI. Never use raw git commands for GitHub interactions.\nNever use curl/wget to GitHub API. `gh` handles auth, pagination, and rate limits correctly.\n</gh_enforcement>\n\n- `gh issue view`, `gh issue comment`, `gh issue close` — for issues\n- `gh pr view`, `gh pr diff`, `gh pr merge --squash`, `gh pr edit --base next` — for PRs\n- `gh release create` — for releases\n\n## Agent Spawning Protocol\n\n1. Read issue/PR body + comments + diff via `gh` (through agent)\n2. Identify affected: adapters, OS, core modules\n3. Build agent roster from [agent-teams.md](agent-teams.md) — context-driven, not static\n4. Spawn ALL agents in ONE message with multiple `Agent` tool calls\n5. Every code-changing agent gets `isolation: \"worktree\"`\n6. Use context-mode MCP tools inside agents for large output\n\n## Validation (Every Workflow)\n\nBefore shipping ANY change, validate per [validation.md](validation.md):\n- [ ] **Problem verified** — claim reproduced or confirmed with hard evidence (CLAIM_VERDICT logged)\n- [ ] ENV vars verified against real platform source (not LLM hallucinations)\n- [ ] All 12 adapter tests pass: `npx vitest run tests/adapters/`\n- [ ] TypeScript compiles: `npm run typecheck`\n- [ ] Full test suite: `npm test`\n- [ ] Cross-OS path handling checked\n\n## Docs Must Stay Current\n\nAfter ANY code change that affects adapters, features, or platform support:\n- [ ] Update `docs/platform-support.md` if adapter capabilities changed\n- [ ] Update `README.md` if install instructions, features, or platform list changed\n- [ ] These updates are NOT optional — ship docs with code, not after\n\n## Communication (Every Workflow)\n\nFollow [communication.md](communication.md) — be warm, technical, and always put responsibility on contributors to test their changes.\n\n## Cross-Cutting References\n\n- [TDD Methodology](tdd.md) — Red-Green-Refactor, mandatory for all code changes\n- [Dynamic Agent Organization](agent-teams.md)\n- [Validation Patterns](validation.md)\n- [Communication Templates](communication.md)\n- [Marketing & Announcements](marketing.md) — LinkedIn posts, release announcements, VC-targeted\n\n## Installation\n\n```shell\n# Install via skills CLI\nnpx skills add mksglu/context-mode --skill context-mode-ops\n\n# Or install all context-mode skills\nnpx skills add mksglu/context-mode\n\n# Or direct path\nnpx skills add https://github.com/mksglu/context-mode/tree/main/skills/context-mode-ops\n```\n\n<!-- File: .claude/skills/context-mode-ops/tdd.md (Tokens: ~2273 | Category: anthropic-skill) -->\n# Test-Driven Development\n\n<tdd_enforcement>\nTHIS FILE IS MANDATORY. Every agent, every Staff Engineer, every Architect MUST follow this.\nIf you skip TDD, your work will be REJECTED. There are no exceptions.\nDo NOT write implementation code before you have a failing test.\n</tdd_enforcement>\n\n> Source: [mattpocock/skills/tdd](https://github.com/mattpocock/skills/tree/main/tdd) — embedded with context-mode enforcement.\n\n## Philosophy\n\n**Core principle**: Tests should verify behavior through public interfaces, not implementation details. Code can change entirely; tests shouldn't.\n\n**Good tests** are integration-style: they exercise real code paths through public APIs. They describe _what_ the system does, not _how_ it does it. A good test reads like a specification — \"user can checkout with valid cart\" tells you exactly what capability exists. These tests survive refactors because they don't care about internal structure.\n\n**Bad tests** are coupled to implementation. They mock internal collaborators, test private methods, or verify through external means (like querying a database directly instead of using the interface). The warning sign: your test breaks when you refactor, but behavior hasn't changed. If you rename an internal function and tests fail, those tests were testing implementation, not behavior.\n\n## Anti-Pattern: Horizontal Slices\n\n**DO NOT write all tests first, then all implementation.** This is \"horizontal slicing\" — treating RED as \"write all tests\" and GREEN as \"write all code.\"\n\nThis produces **crap tests**:\n\n- Tests written in bulk test _imagined_ behavior, not _actual_ behavior\n- You end up testing the _shape_ of things (data structures, function signatures) rather than user-facing behavior\n- Tests become insensitive to real changes — they pass when behavior breaks, fail when behavior is fine\n- You outrun your headlights, committing to test structure before understanding the implementation\n\n**Correct approach**: Vertical slices via tracer bullets. One test → one implementation → repeat. Each test responds to what you learned from the previous cycle. Because you just wrote the code, you know exactly what behavior matters and how to verify it.\n\n```\nWRONG (horizontal):\n  RED:   test1, test2, test3, test4, test5\n  GREEN: impl1, impl2, impl3, impl4, impl5\n\nRIGHT (vertical):\n  RED→GREEN: test1→impl1\n  RED→GREEN: test2→impl2\n  RED→GREEN: test3→impl3\n  ...\n```\n\n## Workflow\n\n### 1. Planning\n\nBefore writing any code:\n\n- [ ] Identify what behaviors need to change or be added\n- [ ] List the behaviors to test (not implementation steps)\n- [ ] Identify opportunities for deep modules (small interface, deep implementation)\n- [ ] Design interfaces for testability\n\n**You can't test everything.** Focus testing effort on critical paths and complex logic, not every possible edge case.\n\n### 2. Tracer Bullet\n\nFor the first behavior:\n\n```\nRED:   Write test for first behavior → test fails\nGREEN: Write minimal code to pass → test passes\n```\n\nThen refactor:\n\n- [ ] Extract duplication\n- [ ] Deepen modules (move complexity behind simple interfaces)\n- [ ] Apply SOLID principles where natural\n- [ ] Consider what new code reveals about existing code\n- [ ] Run tests after each refactor step\n\n**Never refactor while RED.** Get to GREEN first.\n\n### 3. Next Behavior\n\n```\nRED:   Write next test → fails\nGREEN: Minimal code to pass → passes\n```\n\nRefactor again. Repeat until all behaviors are covered.\n\n---\n\n## Good and Bad Tests\n\n### Good Tests (Integration-Style)\n\n```typescript\n// GOOD: Tests observable behavior\ntest(\"user can checkout with valid cart\", async () => {\n  const cart = createCart();\n  cart.add(product);\n  const result = await checkout(cart, paymentMethod);\n  expect(result.status).toBe(\"confirmed\");\n});\n```\n\nCharacteristics:\n\n- Tests behavior users/callers care about\n- Uses public API only\n- Survives internal refactors\n- Describes WHAT, not HOW\n- One logical assertion per test\n\n### Bad Tests (Implementation-Coupled)\n\n```typescript\n// BAD: Tests implementation details\ntest(\"checkout calls paymentService.process\", async () => {\n  const mockPayment = jest.mock(paymentService);\n  await checkout(cart, payment);\n  expect(mockPayment.process).toHaveBeenCalledWith(cart.total);\n});\n```\n\nRed flags:\n\n- Mocking internal collaborators\n- Testing private methods\n- Asserting on call counts/order\n- Test breaks when refactoring without behavior change\n- Test name describes HOW not WHAT\n- Verifying through external means instead of interface\n\n```typescript\n// BAD: Bypasses interface to verify\ntest(\"createUser saves to database\", async () => {\n  await createUser({ name: \"Alice\" });\n  const row = await db.query(\"SELECT * FROM users WHERE name = ?\", [\"Alice\"]);\n  expect(row).toBeDefined();\n});\n\n// GOOD: Verifies through interface\ntest(\"createUser makes user retrievable\", async () => {\n  const user = await createUser({ name: \"Alice\" });\n  const retrieved = await getUser(user.id);\n  expect(retrieved.name).toBe(\"Alice\");\n});\n```\n\n---\n\n## When to Mock\n\nMock at **system boundaries** only:\n\n- External APIs (payment, email, etc.)\n- Databases (sometimes — prefer test DB)\n- Time/randomness\n- File system (sometimes)\n\nDon't mock:\n\n- Your own classes/modules\n- Internal collaborators\n- Anything you control\n\n### Designing for Mockability\n\n**1. Use dependency injection**\n\nPass external dependencies in rather than creating them internally:\n\n```typescript\n// Easy to mock\nfunction processPayment(order, paymentClient) {\n  return paymentClient.charge(order.total);\n}\n\n// Hard to mock\nfunction processPayment(order) {\n  const client = new StripeClient(process.env.STRIPE_KEY);\n  return client.charge(order.total);\n}\n```\n\n**2. Prefer SDK-style interfaces over generic fetchers**\n\nCreate specific functions for each external operation instead of one generic function with conditional logic:\n\n```typescript\n// GOOD: Each function is independently mockable\nconst api = {\n  getUser: (id) => fetch(`/users/${id}`),\n  getOrders: (userId) => fetch(`/users/${userId}/orders`),\n  createOrder: (data) => fetch('/orders', { method: 'POST', body: data }),\n};\n\n// BAD: Mocking requires conditional logic inside the mock\nconst api = {\n  fetch: (endpoint, options) => fetch(endpoint, options),\n};\n```\n\nThe SDK approach means:\n- Each mock returns one specific shape\n- No conditional logic in test setup\n- Easier to see which endpoints a test exercises\n- Type safety per endpoint\n\n---\n\n## Interface Design for Testability\n\nGood interfaces make testing natural:\n\n1. **Accept dependencies, don't create them**\n\n   ```typescript\n   // Testable\n   function processOrder(order, paymentGateway) {}\n\n   // Hard to test\n   function processOrder(order) {\n     const gateway = new StripeGateway();\n   }\n   ```\n\n2. **Return results, don't produce side effects**\n\n   ```typescript\n   // Testable\n   function calculateDiscount(cart): Discount {}\n\n   // Hard to test\n   function applyDiscount(cart): void {\n     cart.total -= discount;\n   }\n   ```\n\n3. **Small surface area**\n   - Fewer methods = fewer tests needed\n   - Fewer params = simpler test setup\n\n---\n\n## Deep Modules\n\nFrom \"A Philosophy of Software Design\":\n\n**Deep module** = small interface + lots of implementation\n\n```\n┌─────────────────────┐\n│   Small Interface   │  ← Few methods, simple params\n├─────────────────────┤\n│                     │\n│                     │\n│  Deep Implementation│  ← Complex logic hidden\n│                     │\n│                     │\n└─────────────────────┘\n```\n\n**Shallow module** = large interface + little implementation (avoid)\n\n```\n┌─────────────────────────────────┐\n│       Large Interface           │  ← Many methods, complex params\n├─────────────────────────────────┤\n│  Thin Implementation            │  ← Just passes through\n└─────────────────────────────────┘\n```\n\nWhen designing interfaces, ask:\n\n- Can I reduce the number of methods?\n- Can I simplify the parameters?\n- Can I hide more complexity inside?\n\n---\n\n## Refactor Candidates\n\nAfter TDD cycle, look for:\n\n- **Duplication** → Extract function/class\n- **Long methods** → Break into private helpers (keep tests on public interface)\n- **Shallow modules** → Combine or deepen\n- **Feature envy** → Move logic to where data lives\n- **Primitive obsession** → Introduce value objects\n- **Existing code** the new code reveals as problematic\n\n---\n\n## context-mode Specific Rules\n\n### CONTRIBUTING.md Is the Authority\n\n**Read `CONTRIBUTING.md` before writing any test.** It defines:\n- Test file organization (which file to put your test in)\n- TDD workflow (Red-Green-Refactor)\n- Output quality comparison (before/after)\n- Local development setup\n\n**Do NOT create new test files.** `CONTRIBUTING.md` has the complete test file mapping. Add your tests to the existing file that covers the same domain. If no file fits, ask the maintainer.\n\n### CI Builds Bundles — You Don't\n\n**Do NOT run `npm run build` or `npm run bundle`.** Bundle files (`server.bundle.mjs`, `cli.bundle.mjs`) are generated by GitHub CI automatically. Never create, modify, or push bundle files. You only run:\n\n```bash\nnpm test              # vitest — validates behavior\nnpm run typecheck     # tsc --noEmit — validates types\n```\n\nThat's it. No build. No bundle. CI handles the rest.\n\n### TDD Enforcement in Subagents\n\nEvery Staff Engineer agent MUST include this in their prompt:\n\n```\nMANDATORY TDD — your work will be REJECTED without this:\n1. Read CONTRIBUTING.md for test file organization — do NOT create new test files\n2. Write a failing test FIRST in the correct existing test file\n3. Run: npx vitest run tests/{file} — MUST FAIL\n4. Write minimal code to pass\n5. Run: npx vitest run tests/{file} — MUST PASS\n6. Refactor if needed, tests stay green\n7. Report RED→GREEN evidence:\n   \"RED:  test 'detects opencode via env var' — FAIL (expected)\"\n   \"GREEN: added env check in detect.ts — PASS\"\n   Without this evidence, your PR is auto-rejected.\n```\n\n<!-- File: .claude/skills/context-mode-ops/triage-issue.md (Tokens: ~2358 | Category: anthropic-skill) -->\n# Triage Issue Workflow\n\n## Trigger\n\nUser says: \"triage issue #N\", \"fix issue #N\", \"analyze issue #N\"\n\n## Step-by-Step\n\n### 1. Gather Intelligence (ONE batch call)\n\nUse `ctx_batch_execute` to gather everything in ONE call:\n\n```javascript\ncommands: [\n  { label: \"issue-body\", command: \"gh issue view {N} --json title,body,labels,state,comments,author,createdAt\" },\n  { label: \"issue-comments\", command: \"gh issue view {N} --comments\" },\n  { label: \"recent-related-prs\", command: \"gh pr list --state all --limit 10 --json number,title,state,headRefName\" },\n  { label: \"source-tree\", command: \"find src -type f -name '*.ts' | sort\" },\n  { label: \"test-tree\", command: \"find tests -type f -name '*.test.ts' | sort\" },\n  { label: \"open-issues\", command: \"gh issue list --state open --limit 20 --json number,title,labels\" }\n],\nqueries: [\n  \"issue title description problem\",\n  \"affected adapter platform\",\n  \"error message stack trace\",\n  \"environment variables mentioned\",\n  \"OS platform specific\",\n  \"related PRs and issues\"\n]\n```\n\n### 2. Classify Domains\n\nFrom the gathered intelligence, identify:\n\n- [ ] **Affected adapters** — which of the 12 platforms?\n- [ ] **Affected OS** — macOS, Linux, Windows, or all?\n- [ ] **Core modules** — server, store, executor, session, hooks?\n- [ ] **Issue type** — bug, feature request, question, discussion?\n- [ ] **Severity** — breaking (can't use tool), degraded (works but wrong), cosmetic\n\n### 3. Spawn Agent Army\n\nBased on classification, spawn from [agent-teams.md](agent-teams.md):\n\n```\nALWAYS spawn:\n├── Context Mode Architect (reviews everything)\n├── QA Engineer (runs all tests)\n├── DX Engineer (checks user-facing quality)\n├── Git Archaeologist (bug/regression only — blame trail, read-only, gates the fix)\n\nIF adapter X is affected:\n├── {X} Architect\n├── {X} Staff Engineer\n\nIF OS-specific:\n├── OS Compatibility Architect\n├── {macOS|Linux|Windows} Staff Engineer\n\nIF domain-specific:\n├── {Domain} Architect\n└── (Staff Engineer if code changes needed)\n```\n\n**Example: Issue #208 \"CLI upgrade full support for Opencode/Kilocode\"**\n```\nAgents to spawn:\n1. Context Mode Architect\n2. QA Engineer\n3. DX Engineer\n4. OpenCode Architect\n5. OpenCode Staff Engineer\n6. Kilo Architect\n7. Kilo Staff Engineer\n8. Hooks Architect (CLI upgrade touches hooks)\n9. OS Compatibility Architect (CLI runs on all OS)\n```\n\n### 4. Claim Verification — BLOCKING GATE\n\n<claim_verification_enforcement>\nSTOP. Before ANY agent writes implementation code, the claim in the issue MUST be verified\nwith hard evidence. We shipped inheritEnvKeys because an LLM said Claude Code strips env vars\n— it doesn't. We got burned shipping a fix for an unverified claim. Never again.\n</claim_verification_enforcement>\n\n**Every issue makes a claim. Verify it BEFORE coding.**\n\n| Issue Type | Required Evidence | How to Get It |\n|------------|-------------------|---------------|\n| **Bug report** | Reproduce locally with a failing test or command | Run the exact steps from the report. If it doesn't fail, the bug may not exist. |\n| **Feature request claiming behavior X** | Prove behavior X actually happens | Check official docs, source code, or web search. NOT LLM knowledge — LLMs hallucinate platform behavior. |\n| **Feature request claiming perf issue** | Benchmark the actual impact | Measure before/after. No \"it should be faster\" — show numbers. |\n| **\"Tool X sets env var Y\"** | Find it in official source | `ctx_fetch_and_index` the platform's docs/source. Grep their repo. If you can't find it, it probably doesn't exist. |\n\n**Verification Steps:**\n\n1. **Architect agents** must produce a `CLAIM_VERDICT` before any Staff Engineer writes code:\n   ```\n   CLAIM: \"{exact claim from the issue}\"\n   EVIDENCE: {link to official doc, source file, or reproduction output}\n   VERDICT: CONFIRMED | UNCONFIRMED | HALLUCINATED\n   ```\n\n2. If `VERDICT: UNCONFIRMED` — do NOT implement. Instead, comment on the issue:\n   ```\n   We couldn't reproduce/verify this claim. Could you provide:\n   - Debug output from: npx context-mode doctor (or ctx-debug.sh)\n   - Exact steps to reproduce\n   - Platform version and OS\n\n   We want to fix this but need to confirm the problem exists first.\n   ```\n\n3. If `VERDICT: HALLUCINATED` — the reporter (or their LLM) made up a behavior that doesn't exist. Comment kindly explaining the misunderstanding. Close with \"working as intended\" if appropriate.\n\n4. Only `VERDICT: CONFIRMED` proceeds to the Investigation Phase below.\n\n**The `ctx-debug.sh` script exists for exactly this purpose.** When in doubt, ask the reporter to run it and paste the output.\n\n### 5. Investigation Phase (Parallel)\n\nAll agents investigate simultaneously:\n\n**Git Archaeologist** runs the blame trail FIRST (read-only):\n- Find the commit that introduced the reported behavior (`git log -S`, `git blame`)\n- Read that commit's message + linked PR — what original problem did it solve?\n- Decide if a naive fix would re-break that original fix\n- Report: ARCHAEOLOGY_REPORT (INTRODUCED_BY, ORIGINAL_INTENT, REGRESSION_RISK, SAFE_FIX_CONSTRAINTS)\n- **Staff Engineers MUST read this report before writing any fix** — see [agent-teams.md](agent-teams.md)\n\n**Architects** research:\n- Read relevant source files\n- Check if claimed behavior actually exists\n- Validate ENV vars against real platform docs (use WebSearch + Context7)\n- Review related closed issues for prior art\n- Report: FINDINGS with specific file:line references\n\n**Staff Engineers** prepare (TDD-first per [tdd.md](tdd.md)):\n- Read the code that needs changing\n- **RED**: Write a failing test that reproduces the bug / specifies new behavior\n- Run test — verify it **FAILS** (if it passes, the test is useless)\n- **GREEN**: Write minimal code to make the test pass\n- Run test — verify it **PASSES**\n- **REFACTOR**: Clean up while keeping tests green\n- Repeat for each behavior (vertical slices, never horizontal)\n- Run full affected adapter tests\n- Report: DRAFT_FIX with RED→GREEN evidence for each behavior\n\n### 6. Ping-Pong Review\n\nRoute Staff Engineer outputs to their paired Architects:\n\n```\nEM reads Staff Engineer result\n  → Sends to Architect via Agent(SendMessage)\n  → Architect reviews: APPROVED or CHANGES_NEEDED\n  → If CHANGES_NEEDED: route back to Staff Engineer\n  → Max 2 rounds, then EM decides\n```\n\n### 7. Validate (QA Engineer)\n\nQA Engineer runs the full validation matrix:\n\n```shell\n# All adapter tests\nnpx vitest run tests/adapters/\n\n# Core tests\nnpx vitest run tests/core/\n\n# Full suite\nnpm test\n\n# TypeScript\nnpm run typecheck\n```\n\nReport as a matrix:\n\n```\nAdapter Tests:\n  ✓ claude-code    ✓ gemini-cli    ✓ opencode\n  ✓ openclaw       ✓ kilo          ✓ codex\n  ✓ vscode-copilot ✓ cursor        ✓ antigravity\n  ✓ kiro           ✓ pi            ✓ zed\n\nCore Tests:    ✓ routing  ✓ search  ✓ server  ✓ cli\nTypeScript:    ✓ no errors\nFull Suite:    ✓ 47/47 passed\n```\n\n### 8. Push Directly to `next`\n\n**Do NOT open a PR.** Push fixes directly to the `next` branch:\n\n```bash\n# Ensure we're on next\ngit checkout next\ngit pull origin next\n\n# Apply changes from worktree agents\n# ... (merge worktree changes)\n\n# Commit with issue reference\ngit commit -m \"fix: {concise description} (closes #{N})\n\n- {what was broken}\n- {what was fixed}\n- {which adapters/modules affected}\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\"\n\n# Push to next\ngit push origin next\n```\n\n### 9. Comment on Issue & Close\n\nAfter pushing to `next`, comment and **close the issue immediately**:\n\n```bash\ngh issue comment {N} --body \"$(cat <<'EOF'\nHey @{author}! 👋\n\nWe investigated this and pushed a fix to the `next` branch ({commit_sha}).\n\n**What was happening:** {technical explanation of the root cause}\n\n**What we fixed:** {technical explanation of the fix}\n\n**Affected area:** {adapter/module names}\n\nThis will ship in the next release. Once it's out, could you please test it in your setup and let us know if it resolves the issue? 🙏\n\nIf the fix doesn't work for you, feel free to reopen this issue.\n\nThanks for reporting this!\nEOF\n)\"\n\n# Close the issue — fix is pushed, job done\ngh issue close {N}\n```\n\n## Decision Tree: Fix vs. Wontfix vs. Needs Info\n\n```\nIssue makes a claim about platform behavior?\n├── YES → Run Claim Verification (Step 4) FIRST\n│   ├── CONFIRMED → Fix it (steps 5-9 above)\n│   ├── UNCONFIRMED → Request evidence (ctx-debug.sh output, repro steps)\n│   └── HALLUCINATED → Explain kindly, close if appropriate\n│\nIssue is clear and reproducible (no behavioral claim)?\n├── YES → Fix it (steps 5-9 above)\n├── UNCLEAR → Comment asking for reproduction steps\n│   └── Template: \"Could you share the exact command/config that triggers this?\"\n└── BY DESIGN → Explain why, close with \"working as intended\" label\n    └── Be kind — explain the design decision\n```\n\n## Edge Cases\n\n### Issue references a feature that doesn't exist\nThe issue author may have been told by an LLM that a feature exists when it doesn't. Use [validation.md](validation.md) ENV verification to catch this. Comment explaining the misunderstanding kindly.\n\n### Issue is a duplicate\nLink to the original issue, close as duplicate, thank the reporter.\n\n### Issue is actually a feature request\nRe-label, add to backlog discussion, don't close — let the community weigh in.\n\n<!-- File: .claude/skills/context-mode-ops/validation.md (Tokens: ~3599 | Category: anthropic-skill) -->\n# Validation Patterns\n\nCross-cutting validation rules used by ALL workflows (triage, review, release).\n\n## Problem Verification — FIRST GATE\n\n<problem_verification_enforcement>\nThis is the FIRST validation step, before anything else. We shipped inheritEnvKeys because\nwe trusted an LLM claim that Claude Code strips environment variables — it does not.\nWe got burned shipping a fix for an unverified claim. Never again.\nEvery bug report, feature request, and behavioral claim MUST be proven true before code is written.\n</problem_verification_enforcement>\n\n### For Bug Reports\n\n**Reproduce it or reject it.** Run the exact reproduction steps from the issue. If it doesn't fail, the bug may not exist.\n\n```\nStep 1: Extract the claimed reproduction steps from the issue\nStep 2: Run them locally (use ctx_execute or a test)\nStep 3: Record the ACTUAL output\nStep 4: Compare actual vs. claimed behavior\nStep 5: VERDICT:\n  → REPRODUCED: Bug is real, proceed to fix\n  → NOT_REPRODUCED: Ask reporter for ctx-debug.sh output and exact repro steps\n  → INVALID: Reporter's environment is misconfigured, help them fix it\n```\n\n### For Feature Requests\n\n**Verify the underlying claim.** Feature requests always contain an implicit claim (\"X behaves this way\", \"Y is slow\", \"Z doesn't support W\"). Prove the claim first.\n\n```\nStep 1: Identify the claim (e.g., \"Claude Code strips env vars from child processes\")\nStep 2: Find HARD EVIDENCE — official docs, source code, or measured benchmarks\n  → Use ctx_fetch_and_index on official docs/repos\n  → Use ctx_execute to run actual tests\n  → NEVER trust LLM knowledge about platform behavior — LLMs hallucinate this constantly\nStep 3: VERDICT:\n  → CONFIRMED: Claim is true, proceed to design\n  → UNCONFIRMED: Cannot verify — ask reporter for evidence before implementing\n  → DEBUNKED: Claim is false — comment on issue explaining the misunderstanding\n```\n\n### Requesting Evidence from Reporters\n\nWhen a claim cannot be verified, comment on the issue BEFORE implementing:\n\n```markdown\nWe want to address this but need to verify the underlying behavior first.\nCould you provide:\n1. Output from: `npx context-mode doctor` (or run `ctx-debug.sh`)\n2. Exact reproduction steps\n3. Platform version, adapter, and OS\n\nWe'll investigate as soon as we can confirm the issue. Thanks for reporting!\n```\n\n### Evidence Log\n\nEvery triage MUST produce a verification entry:\n\n```\nCLAIM: \"{exact claim}\"\nSOURCE: {issue number or PR}\nEVIDENCE: {link to doc, test output, or benchmark result}\nVERDICT: CONFIRMED | UNCONFIRMED | DEBUNKED\nACTION: {proceed | request-info | close-as-invalid}\n```\n\n---\n\n## ENV Variable Verification\n\nLLMs frequently hallucinate environment variables. Every ENV var in an issue or PR must be verified.\n\n### Verification Protocol\n\nFor EACH environment variable mentioned:\n\n```\nStep 1: GREP — Does it exist in context-mode source?\n  → rg \"{ENV_VAR}\" src/\n  → If found: VERIFIED (we already use it)\n  → If not found: continue to Step 2\n\nStep 2: GREP ADAPTERS — Is it in the adapter detect logic?\n  → Read src/adapters/detect.ts\n  → Check the verified env vars comment block at the top\n  → If listed: VERIFIED (we know about it)\n\nStep 3: WEBSEARCH — Does the platform document it?\n  → WebSearch: \"{PLATFORM} {ENV_VAR} environment variable\"\n  → Check official docs, GitHub repos, release notes\n  → If found in official source: REAL but we don't use it yet\n\nStep 4: CONTEXT7 — Library documentation check\n  → resolve-library-id for the platform\n  → query-docs for the ENV var\n  → Cross-reference with Step 3\n\nStep 5: VERDICT\n  → VERIFIED: We use it and it's real\n  → REAL_NEW: Platform has it but we don't use it yet\n  → HALLUCINATED: No evidence it exists — flag it\n  → DEPRECATED: Used to exist but was removed\n```\n\n### Known Verified ENV Vars (Reference)\n\n| Platform | Verified ENV Vars | Source |\n|----------|------------------|--------|\n| Claude Code | `CLAUDE_PROJECT_DIR`, `CLAUDE_SESSION_ID` | src/adapters/detect.ts |\n| Gemini CLI | `GEMINI_PROJECT_DIR`, `GEMINI_CLI` | src/adapters/detect.ts |\n| OpenCode | `OPENCODE`, `OPENCODE_PID` | src/adapters/detect.ts |\n| OpenClaw | `OPENCLAW_HOME`, `OPENCLAW_CLI` | src/adapters/detect.ts |\n| Kilo | `KILO`, `KILO_PID` | src/adapters/detect.ts |\n| Codex | `CODEX_CI`, `CODEX_THREAD_ID` | src/adapters/detect.ts |\n| VS Code Copilot | `VSCODE_PID`, `VSCODE_CWD` | src/adapters/detect.ts |\n| Cursor | `CURSOR_TRACE_ID`, `CURSOR_CLI` | src/adapters/detect.ts |\n| Override | `CONTEXT_MODE_PLATFORM` | src/adapters/detect.ts |\n\nAny ENV var NOT in this table must go through the full verification protocol.\n\n## Adapter Test Matrix\n\n### Full Matrix Run\n\n```shell\n# Run ALL adapter tests\nnpx vitest run tests/adapters/\n\n# Individual adapter (for targeted testing)\nnpx vitest run tests/adapters/claude-code.test.ts\nnpx vitest run tests/adapters/gemini-cli.test.ts\nnpx vitest run tests/adapters/opencode.test.ts\nnpx vitest run tests/adapters/openclaw.test.ts\nnpx vitest run tests/adapters/kilo.test.ts\nnpx vitest run tests/adapters/codex.test.ts\nnpx vitest run tests/adapters/vscode-copilot.test.ts\nnpx vitest run tests/adapters/cursor.test.ts\nnpx vitest run tests/adapters/antigravity.test.ts\nnpx vitest run tests/adapters/kiro.test.ts\nnpx vitest run tests/adapters/zed.test.ts\n\n# Detection logic\nnpx vitest run tests/adapters/detect.test.ts\nnpx vitest run tests/adapters/client-map.test.ts\n```\n\n### Report Format\n\n```\nADAPTER TEST MATRIX\n═══════════════════\nclaude-code     ✓ 5/5    gemini-cli      ✓ 4/4\nopencode        ✓ 6/6    openclaw        ✓ 3/3\nkilo            ✓ 4/4    codex           ✓ 3/3\nvscode-copilot  ✓ 4/4    cursor          ✓ 3/3\nantigravity     ✓ 2/2    kiro            ✓ 3/3\npi              ✓ 2/2    zed             ✓ 2/2\ndetect          ✓ 8/8    client-map      ✓ 6/6\n───────────────────────────────────────────\nTOTAL: {N}/{N} passed | 0 failed\n```\n\n## Core Module Tests\n\n```shell\n# Core tests\nnpx vitest run tests/core/routing.test.ts\nnpx vitest run tests/core/search.test.ts\nnpx vitest run tests/core/server.test.ts\nnpx vitest run tests/core/cli.test.ts\n\n# Module tests\nnpx vitest run tests/store.test.ts\nnpx vitest run tests/executor.test.ts\nnpx vitest run tests/security.test.ts\nnpx vitest run tests/formatters.test.ts\n\n# Hook tests\nnpx vitest run tests/hooks/\n\n# Full suite\nnpm test\n```\n\n## OS Compatibility Checks\n\n### Path Handling\n\n```javascript\n// WRONG — breaks on Windows\nconst configPath = homedir + \"/.config/opencode/config.json\";\n\n// CORRECT — works everywhere\nconst configPath = path.join(homedir(), \".config\", \"opencode\", \"config.json\");\n```\n\nGrep for potential issues:\n```shell\n# String concatenation with path separators\nrg \"homedir\\(\\)\\s*\\+\" src/\nrg '\"/\\.' src/\nrg \"'\\\\./\" src/\n\n# Direct slash usage in paths (should use path.join)\nrg 'path\\s*=.*\"/' src/ --type ts\n```\n\n### Temp Directory\n\n```javascript\n// WRONG — hardcoded /tmp\nconst tmpFile = \"/tmp/context-mode-output.txt\";\n\n// CORRECT — uses OS temp dir\nconst tmpFile = path.join(os.tmpdir(), \"context-mode-output.txt\");\n```\n\nGrep for hardcoded temp:\n```shell\nrg '\"/tmp/' src/\nrg \"'/tmp/\" src/\n```\n\n### Native Bindings (better-sqlite3)\n\nCheck that `better-sqlite3` is in `optionalDependencies` (not `dependencies`) and the code handles the case where it's not available:\n\n```shell\nrg \"better-sqlite3\" src/ --type ts\nrg \"optionalDependencies\" package.json\n```\n\n### Process Spawn\n\n```javascript\n// WRONG — shell: true behaves differently on Windows\nspawn(\"command\", { shell: true });\n\n// CORRECT — explicit shell selection\nspawn(\"command\", { shell: process.platform === \"win32\" ? \"cmd.exe\" : \"/bin/sh\" });\n```\n\n## Hook Format Validation\n\nEach platform has different hook formats. Verify changes match:\n\n| Platform | Hook Format | Key Differences |\n|----------|------------|-----------------|\n| Claude Code | `hooks.json` in plugin dir | `PreToolUse`, `PostToolUse`, `PreCompact`, `SessionStart` |\n| Gemini CLI | `~/.gemini/settings.json` | `BeforeTool`, `AfterTool`, `PreCompress`, `SessionStart` + `matcher` |\n| VS Code Copilot | `.github/hooks/*.json` | Same as Claude Code but separate file |\n| Cursor | `.cursor/hooks.json` | No `SessionStart` (injects via file instead) |\n| OpenCode | `opencode.json` | Uses `agents` section, not traditional hooks |\n| OpenClaw | `openclaw.plugin.json` | Extension model, not hook-based |\n\n## Security Checks\n\n### Sandbox Escape\n\n```shell\n# File writing attempts through ctx_execute\nrg \"writeFile\\|appendFile\\|createWriteStream\" src/executor.ts\n\n# Path traversal\nrg \"\\.\\.\\/\" src/ --type ts\n\n# Command injection vectors\nrg \"exec\\(.*\\$\\{\" src/ --type ts\nrg \"spawn\\(.*\\$\\{\" src/ --type ts\n```\n\n### Information Disclosure\n\n```shell\n# Sensitive paths\nrg \"process\\.env\\b\" src/ --type ts | grep -v \"test\"\n\n# Home directory exposure\nrg \"homedir\\(\\)\" src/ --type ts\n```\n\n## TypeScript Validation\n\n```bash\n# Full type check\nnpm run typecheck\n\n# Should report 0 errors\n# If errors exist, they MUST be fixed before shipping\n```\n\n## Pre-Ship Checklist\n\nEvery change, regardless of workflow, must pass:\n\n- [ ] **Problem verified** — CLAIM_VERDICT is CONFIRMED with hard evidence (this is gate zero)\n- [ ] `npm run typecheck` — 0 errors\n- [ ] `npm test` — all pass\n- [ ] Adapter tests — all 12 pass (or N/A if untouched)\n- [ ] ENV vars — all verified against real platform source\n- [ ] Path handling — no hardcoded separators\n- [ ] Hook format — matches target platform's schema\n- [ ] No security regressions\n\n## Fan-out Claim Verification — SECOND GATE\n\n<fan_out_verification_enforcement>\nSTOP. Before dispatching N implementation agents on a survey result, you MUST\nverify each of the N claims independently. Audit agents are LLMs; LLMs lie.\nA survey that returns \"10 adapters need this fix\" is the moment to slow down,\nnot the moment to fork 10 parallel implementations.\n\nRULE: One audit claim ≠ one verified bug. Each item gets its own CLAIM_VERDICT\nbefore code is touched. The same Problem Verification gate that applies to\nexternal bug reports applies — equally — to internal fan-out claims.\n</fan_out_verification_enforcement>\n\n### When this gate fires\n\nAny time an EM-mode flow produces a multi-item list of suggested fixes — from\na survey agent, a triage sweep, a cross-adapter audit, a release pre-flight,\nan architecture review — the list is a HYPOTHESIS, not a punch list. The N\nitems have NOT been verified just because one agent grouped them.\n\n### The pattern\n\n```\nPHASE A — Reproduce each claim\n  Spawn one verification agent PER item in parallel.\n  Each agent MUST: read the platform source, attempt to reproduce the\n  failure, return CLAIM_VERDICT = CONFIRMED | DEBUNKED | UNDETERMINED.\n  File:line citations from real source are mandatory. No source citation\n  = treat as UNDETERMINED.\n\nPHASE B — Research only CONFIRMED items\n  For each CONFIRMED item, the SAME agent (or a follow-up) MUST identify\n  the concrete fix shape: file location, format, multi-window safety,\n  feasibility tier (HIGH / MEDIUM / LOW). DEBUNKED items are dropped.\n  UNDETERMINED items are tabled for the maintainer's empirical session.\n\nPHASE C — Implement only verified items\n  Dispatch implementation agents only for items that made it through A and\n  B. The fanout factor at this gate is typically 5-20% of the original\n  audit list — the rest were speculation that the gate caught.\n```\n\n### Why this gate exists\n\nReal incident (v1.0.148-era stats accuracy work, 2026-05-24):\n\n- A survey agent returned 10 adapters needing a `resolveCodexSessionCwd`-\n  style on-disk fallback. The maintainer asked for proof.\n- Phase A spawned 5 parallel verification agents (cursor, vscode-copilot,\n  jetbrains-copilot, gemini-cli, opencode).\n- Result: 2 DEBUNKED (cursor: passes cwd in hook stdin; opencode: native\n  plugin bridge, no spawn), 3 CONFIRMED but with different fix shapes\n  (vscode-copilot: trivial 1-line cascade addition; jetbrains: on-disk\n  fallback infeasible due to multi-window collision; gemini-cli: upstream\n  bug + docs workaround).\n- Net engineering scope: **1 trivial line change** instead of 10\n  parallel implementations.\n\nWithout this gate, we would have shipped 10 speculative fixes against\nunreproducible claims — the same failure mode as the inheritEnvKeys\nincident (an LLM said \"Claude Code strips env vars from child processes\",\nwe shipped a fix, and the platform behavior was never the claim).\n\n### What a CLAIM_VERDICT must look like\n\n```yaml\nclaim:\n  description: \"<one sentence stating the hypothesis precisely>\"\nverdict:\n  status: CONFIRMED | DEBUNKED | UNDETERMINED\n  evidence:\n    - \"file:line — what was found\"\n    - \"file:line — supporting detail\"\n    - \"file:line — counterexample (for DEBUNKED)\"\n  fix_shape:        # only when CONFIRMED\n    location: \"<file/format>\"\n    field_path: \"<where cwd / target value lives>\"\n    multi_window_safety: \"<mtime guard? unsafe? n/a?>\"\n    feasibility: HIGH | MEDIUM | LOW\n  decision: SHIP | DOCS-ONLY | TABLE | DROP\n```\n\n### Anti-patterns to recognize\n\n- **\"The audit says 10 — let me spawn 10 implementation agents.\"** Don't.\n  Spawn 10 verification agents first; THEN spawn implementation agents only\n  for the survivors.\n- **\"This is the same kind of bug we just fixed, so it must apply here\n  too.\"** Almost-same-shape bugs frequently have completely different\n  root causes per-platform. Verify per-platform.\n- **\"The agent said X, I trust it.\"** LLMs are programmed to take the\n  path of minimum energy. They will write plausible verdicts without\n  actually reading the source. Require file:line citations and spot-\n  check at least one.\n- **\"We don't have time to verify each one.\"** Verification is faster\n  than reverting bad ships. Five verification agents in parallel finish\n  in the time one implementation agent takes. The verification spend pays\n  for itself if it catches even one DEBUNKED.\n\n<!-- File: configs/antigravity-cli/skills/context-mode/SKILL.md (Tokens: ~793 | Category: anthropic-skill) -->\n---\nname: context-mode\ndescription: Mandatory routing rules for Antigravity CLI. Invoke when exploring a codebase, reading files for analysis, listing context-mode tools, searching, parsing, counting, comparing, summarizing, fetching web content, or running data-heavy commands.\n---\n\n# context-mode for Antigravity CLI\n\ncontext-mode MCP tools are available in agy as `context-mode/<tool>`.\nUse these tools directly. Do not inspect cached schema files under\n`~/.gemini/antigravity-cli/mcp/context-mode/*.json`, and do not run\n`ctx_execute` just to discover tool names or schemas.\n\nIf agy uses the generic MCP wrapper, call `call_mcp_tool` with:\n\n- `ServerName`: `\"context-mode\"`\n- `ToolName`: one of the tool names below\n- `Arguments`: the JSON arguments for that tool\n\n## Tool List\n\n- `context-mode/ctx_execute`: run JavaScript, TypeScript, Python, shell, or\n  other code in a sandbox. Print only the final answer.\n- `context-mode/ctx_execute_file`: read one file into `FILE_CONTENT` inside the\n  sandbox and run code over it. This is the context-mode file-read surface.\n- `context-mode/ctx_batch_execute`: run multiple repository commands in one\n  batch, index large output, and answer follow-up queries.\n- `context-mode/ctx_index`: store a file, directory, or content in the local\n  FTS5 knowledge base for later search.\n- `context-mode/ctx_search`: search indexed content and captured session\n  memory. Batch related questions in `queries`.\n- `context-mode/ctx_fetch_and_index`: fetch web content, store it, then query\n  with `ctx_search`.\n- `context-mode/ctx_stats`: show context savings and current-session stats.\n- `context-mode/ctx_doctor`: diagnose context-mode runtime and hook health.\n- `context-mode/ctx_upgrade`: provide upgrade or repair guidance.\n- `context-mode/ctx_purge`: purge stored context-mode knowledge after\n  confirmation.\n- `context-mode/ctx_insight`: launch or report the Insight analytics app.\n\nWhen the user asks \"what context-mode tools are available\", answer from this\nlist. Do not list `~/.gemini/antigravity-cli/mcp/context-mode` and do not read\nthe JSON schema files.\n\n## File Reading\n\nThere is no separate `ctx_read` tool. Use `context-mode/ctx_execute_file` for\nfile reads that analyze, summarize, extract, count, filter, or compare.\n\nNative `Read` / `view_file` is only right when editing needs exact bytes in the\nconversation, or when the user explicitly asks to view a small known range.\n\nUse JavaScript by default for lightweight file analysis:\n\n```json\n{\n  \"path\": \"README.md\",\n  \"language\": \"javascript\",\n  \"code\": \"const lines = FILE_CONTENT.split(/\\\\r?\\\\n/); console.log(lines.slice(0, 20).join('\\\\n'));\"\n}\n```\n\nNever print `FILE_CONTENT` wholesale unless the user explicitly asks for a full\nfile dump. Print selected lines, counts, matches, summaries, or structured\nresults.\n\n## Codebase Exploration\n\nFor repository exploration, prefer one `context-mode/ctx_batch_execute` call\ninstead of many native `ListDir`, `Read`, `Grep`, or shell calls.\n\nFor one-off computed answers, use `context-mode/ctx_execute`.\nFor one-file analysis, use `context-mode/ctx_execute_file`.\nFor durable recall across follow-up questions, use `context-mode/ctx_index`\nwith a descriptive `source`, then `context-mode/ctx_search`.\n\nReturn concise derived answers. Do not paste raw command dumps, full files,\nlarge search results, cached schemas, or raw HTML into the conversation.\n\n<!-- File: configs/copilot-cli/skills/context-mode/SKILL.md (Tokens: ~418 | Category: anthropic-skill) -->\n---\nname: context-mode\ndescription: MANDATORY routing rules for context-mode. Invoke whenever you analyze, count, filter, compare, search, parse, or transform data; fetch a URL; or run a data-heavy command — so raw bytes stay out of the context window.\n---\n\n# context-mode — MANDATORY routing rules\n\ncontext-mode MCP tools are available in GitHub Copilot CLI. These rules protect\nthe context window from flooding — one unrouted command can dump tens of KB into\nthe conversation. Follow them strictly.\n\n## Think in Code — MANDATORY\n\nAnalyze / count / filter / compare / search / parse / transform data: **write\ncode** via `ctx_execute(language, code)` and `console.log()` only the answer. Do\nNOT read raw data into context. PROGRAM the analysis, do not COMPUTE it by\nreading. One script replaces ten tool calls.\n\n## BLOCKED — do NOT use\n\n- **curl / wget** — dumps raw HTTP into context. Use\n  `ctx_fetch_and_index(url, source)` then `ctx_search(queries)`.\n- **Inline HTTP** (`node -e \"fetch(...)\"`, `python -c \"requests.get(...)\"`) — use\n  `ctx_execute(language, code)`; only stdout enters context.\n- **Reading large files to analyze** — use\n  `ctx_execute_file(path, language, code)`.\n\n## Tool selection\n\n1. **GATHER**: `ctx_batch_execute(commands, queries)` — runs all commands,\n   auto-indexes, returns search. One call replaces dozens.\n2. **PROCESS**: `ctx_execute` / `ctx_execute_file` — sandbox; only stdout enters\n   context.\n3. **WEB**: `ctx_fetch_and_index(url, source)` then `ctx_search(queries)` — raw\n   HTML never enters context.\n4. **SEARCH**: `ctx_search(queries: [...])` — all questions in one call.\n\nWrite artifacts to FILES; return a path + one-line description, not inline dumps.\n\n<!-- File: skills/context-mode/references/anti-patterns.md (Tokens: ~2468 | Category: anthropic-skill) -->\n# Anti-Patterns: Common Mistakes with execute / execute_file\n\nAvoid these pitfalls when using context-mode tools.\n\n---\n\n## 1. Using execute for Small Outputs (< 20 Lines)\n\n**Problem:** `execute` adds overhead (LLM summarization call). For small outputs, Bash is faster and cheaper.\n\n```\nBAD — wasteful use of execute:\n  Tool: execute\n  code: \"echo $(node --version)\"\n  language: shell\n\nGOOD — just use Bash:\n  Tool: Bash\n  command: node --version\n```\n\n**Rule:** If the output fits comfortably in your context window (under ~20 lines), use Bash directly. Reserve `execute` for outputs that would bloat context or need intelligent summarization.\n\nMore examples of \"just use Bash\":\n- `git status` — usually 5-10 lines\n- `ls -la` — directory listing\n- `cat .env.example` — small config file\n- `pwd`, `whoami`, `which node`\n- `wc -l src/index.ts` — single line output\n\n---\n\n## 2. Forgetting to Print Output\n\n**Problem:** `execute` captures stdout. If your code doesn't print anything, the summary will be empty or meaningless.\n\n```javascript\n// BAD — no output:\nconst fs = require('fs');\nconst data = JSON.parse(fs.readFileSync('package.json', 'utf8'));\nconst deps = Object.keys(data.dependencies);\n// Nothing printed! The LLM sees empty stdout.\n\n// GOOD — explicit output:\nconst fs = require('fs');\nconst data = JSON.parse(fs.readFileSync('package.json', 'utf8'));\nconst deps = Object.keys(data.dependencies);\nconsole.log(`Dependencies (${deps.length}):`);\ndeps.forEach(d => console.log(`  ${d}: ${data.dependencies[d]}`));\n```\n\n```python\n# BAD — computes but never prints:\nwith open('data.json') as f:\n    data = json.load(f)\nresult = [x for x in data if x['status'] == 'error']\n# result is lost — never printed\n\n# GOOD — always print results:\nwith open('data.json') as f:\n    data = json.load(f)\nresult = [x for x in data if x['status'] == 'error']\nprint(f\"Found {len(result)} errors:\")\nfor r in result:\n    print(f\"  {r['id']}: {r['message']}\")\n```\n\n**Rule:** Every `execute` script must end with print/console.log of the results you want summarized.\n\n---\n\n## 3. Using Bash When JS/Python Would Be Cleaner\n\n**Problem:** Complex data processing in Bash quickly becomes unreadable and error-prone.\n\n```shell\n# BAD — parsing JSON in Bash is fragile:\ncat data.json | python3 -c \"\nimport sys, json\ndata = json.load(sys.stdin)\nfor item in data:\n    if item['status'] == 'error':\n        print(item['id'], item['message'])\n\"\n# If you're already using Python inline, just use language: python\n```\n\n```javascript\n// GOOD — use the right language for the job:\n// language: javascript\nconst data = require('./data.json');\ndata.filter(x => x.status === 'error')\n    .forEach(x => console.log(`${x.id}: ${x.message}`));\n```\n\n**Rule:** If your Bash script contains inline Python/Node or complex `jq`/`awk` chains, switch to `language: python` or `language: javascript` instead.\n\nSigns you should switch from shell:\n- Using `python3 -c` or `node -e` inside the shell script\n- More than 3 pipes chained together\n- Using `jq` for complex JSON transformations\n- Nested loops in Bash\n- String manipulation beyond simple `cut`/`sed`\n\n---\n\n## 4. Loading Entire Files into Context Then Processing\n\n**Problem:** Reading a 10,000-line file with `Read` tool, then asking about it, wastes your entire context window. Use `execute` to process the file and return only the summary.\n\n```\nBAD workflow:\n  1. Read tool: read 'server.log' (10,000 lines loaded into context)\n  2. \"Find all errors in this log\"\n  → 10,000 lines consumed context for a question that needs ~20 lines of output\n\nGOOD workflow:\n  1. execute with language: python\n     code: |\n       with open('server.log') as f:\n           errors = [l for l in f if 'ERROR' in l]\n       print(f\"Total errors: {len(errors)}\")\n       for e in errors[-20:]:\n           print(e.strip())\n     summary_prompt: \"Categorize errors and report frequency\"\n  → Only the summary enters context\n```\n\n```\nBAD workflow:\n  1. Read tool: read 'package-lock.json' (20,000 lines)\n  2. \"What version of lodash is installed?\"\n\nGOOD workflow:\n  1. execute with language: javascript\n     code: |\n       const lock = require('./package-lock.json');\n       const find = (deps, name) => {\n         if (deps[name]) return deps[name].version;\n         for (const [, dep] of Object.entries(deps)) {\n           if (dep.dependencies) {\n             const v = find(dep.dependencies, name);\n             if (v) return v;\n           }\n         }\n       };\n       console.log(`lodash: ${find(lock.dependencies, 'lodash') || 'not found'}`);\n     summary_prompt: \"Report the installed version of lodash\"\n```\n\n**Rule:** If a file is over 200 lines and you only need specific data from it, use `execute` to extract what you need rather than reading the whole file into context.\n\n---\n\n## 5. Not Using JSON.stringify for Structured Output\n\n**Problem:** Printing objects without serialization gives `[object Object]` in JavaScript.\n\n```javascript\n// BAD — prints [object Object]:\nconst pkg = require('./package.json');\nconsole.log(pkg.dependencies);\n// Output: [object Object]\n\n// GOOD — serialize properly:\nconst pkg = require('./package.json');\nconsole.log(JSON.stringify(pkg.dependencies, null, 2));\n// Output: { \"react\": \"^18.2.0\", \"next\": \"^14.0.0\", ... }\n```\n\n```javascript\n// BAD — loses structure in arrays:\nconst items = [{name: 'a', value: 1}, {name: 'b', value: 2}];\nconsole.log(items);\n// May print unhelpfully\n\n// GOOD — format as table:\nconst items = [{name: 'a', value: 1}, {name: 'b', value: 2}];\nconsole.log('Name  | Value');\nconsole.log('------|------');\nitems.forEach(i => console.log(`${i.name.padEnd(5)} | ${i.value}`));\n// Or use JSON.stringify:\nconsole.log(JSON.stringify(items, null, 2));\n```\n\n**Rule:** Always use `JSON.stringify(data, null, 2)` for objects/arrays in JavaScript, or format as a readable table. In Python, use `json.dumps(data, indent=2)` or `pprint.pprint(data)`.\n\n---\n\n## 6. Timeout Too Short for Network Operations\n\n**Problem:** Default timeout may be too short for API calls, builds, or test suites.\n\n```\nBAD — will timeout on API calls:\n  Tool: execute\n  code: |\n    const resp = await fetch('https://api.slow-service.com/data');\n    console.log(await resp.json());\n  language: javascript\n  timeout_ms: 5000  ← API may take 10+ seconds\n\nGOOD — generous timeout for network:\n  Tool: execute\n  code: |\n    const resp = await fetch('https://api.slow-service.com/data');\n    console.log(JSON.stringify(await resp.json(), null, 2));\n  language: javascript\n  timeout_ms: 30000  ← 30 seconds for network calls\n```\n\n**Recommended timeouts:**\n| Operation | timeout_ms |\n|-----------|-----------|\n| File reading/parsing | 5000 - 10000 |\n| Local computation | 10000 |\n| Single API request | 15000 - 30000 |\n| Paginated API calls | 30000 - 60000 |\n| npm install / build | 120000 |\n| Full test suite | 120000 - 300000 |\n\n**Rule:** Always consider what your script does and set `timeout_ms` accordingly. Network calls and builds need significantly more time than file operations.\n\n---\n\n## 7. Not Using summary_prompt Effectively\n\n**Problem:** Without a good `summary_prompt`, the LLM summarization may focus on irrelevant details.\n\n```\nBAD — vague or missing summary_prompt:\n  summary_prompt: \"Summarize this\"\n  → May focus on the wrong aspects\n\nGOOD — specific and actionable:\n  summary_prompt: \"Report the count of failing tests, list each failure with its file path and error message, and identify any patterns in the failures\"\n```\n\n**Tips for effective summary_prompt:**\n- Be specific about what data points you need\n- Ask for counts and metrics, not just descriptions\n- Request actionable insights (\"suggest fixes\", \"identify patterns\")\n- Mention the format you want (\"list as bullet points\", \"group by category\")\n\n---\n\n## 8. `ctx_execute` Captures, `ctx_search` Filters — Don't Merge the Layers\n\n`ctx_execute` and `ctx_search` are two layers, not one. `ctx_execute` exists to **capture** full output into the index. `ctx_search` exists to **filter** what was captured. When you narrow the output *inside* `ctx_execute` — at the shell layer, in script logic, anywhere upstream of capture — the dropped lines never reach the index. `ctx_search` cannot recover what was never written. You've spent the capture budget and lost the data you'd want to query later, for no context-window benefit: large stdout is already auto-indexed, not returned inline.\n\nThe mental model:\n\n```\n┌──────────────────────┐      ┌──────────────────────┐\n│   ctx_execute        │ ───▶ │   ctx_search         │\n│   (capture layer)    │      │   (filter layer)     │\n│                      │      │                      │\n│   produces full      │      │   queries the        │\n│   output into index  │      │   captured index     │\n└──────────────────────┘      └──────────────────────┘\n        ▲                              ▲\n        │                              │\n   Job: capture                   Job: narrow\n   Do NOT narrow here.            Do all narrowing here.\n```\n\n**Rule:** Treat `ctx_execute`'s output as write-once to the index. Run the command in full and let it index. Do every narrowing step downstream, via `ctx_search`. If you find yourself trimming inside `ctx_execute`, you are doing the filter layer's job in the capture layer — stop and move the narrowing to a `ctx_search` call.\n\n**Why the layer separation matters:** the index is what survives across calls and across sessions. Anything you discard before the index is gone permanently from this session's queryable surface. Anything you keep is queryable, repeatedly, with different questions, at zero re-execution cost.\n\n---\n\n## Summary Checklist\n\nBefore using `execute`, verify:\n\n- [ ] Output will be > 20 lines (otherwise use Bash)\n- [ ] Script prints all results to stdout\n- [ ] Objects are serialized with JSON.stringify / json.dumps\n- [ ] Timeout matches the operation type\n- [ ] Language matches the task (JS for JSON/API, Python for data, Shell for pipes)\n- [ ] summary_prompt is specific and actionable\n- [ ] Not loading a file into context that could be processed inside execute\n\n<!-- File: skills/context-mode/references/patterns-javascript.md (Tokens: ~2433 | Category: anthropic-skill) -->\n# JavaScript / TypeScript Patterns for execute\n\nPractical patterns for using `execute` with `language: javascript`.\nAll examples assume Node.js runtime with native fetch (Node 18+).\n\n---\n\n## API Response Processing\n\n### Fetch and summarize a REST API\n\n```javascript\n// execute: Analyze API health endpoint\nconst resp = await fetch('https://api.example.com/health');\nconst data = await resp.json();\n\nconsole.log('=== Service Health ===');\nconsole.log(`Status: ${data.status}`);\nconsole.log(`Uptime: ${data.uptime}`);\nconsole.log(`Timestamp: ${data.timestamp}`);\n\nif (data.services) {\n  console.log('\\n=== Service Components ===');\n  for (const [name, info] of Object.entries(data.services)) {\n    console.log(`  ${name}: ${info.status} (latency: ${info.latency_ms}ms)`);\n  }\n}\n\nif (data.errors && data.errors.length > 0) {\n  console.log('\\n=== Recent Errors ===');\n  data.errors.slice(0, 10).forEach(e => {\n    console.log(`  [${e.timestamp}] ${e.code}: ${e.message}`);\n  });\n}\n```\n> summary_prompt: \"Report overall health, list any degraded services, and highlight errors\"\n\n### Paginated API collection\n\n```javascript\n// execute: Fetch all open issues from GitHub API\nconst owner = 'org';\nconst repo = 'project';\nlet page = 1;\nlet allIssues = [];\n\nwhile (true) {\n  const resp = await fetch(\n    `https://api.github.com/repos/${owner}/${repo}/issues?state=open&per_page=100&page=${page}`,\n    { headers: { 'Accept': 'application/vnd.github.v3+json' } }\n  );\n  const issues = await resp.json();\n  if (issues.length === 0) break;\n  allIssues.push(...issues);\n  page++;\n}\n\nconsole.log(`Total open issues: ${allIssues.length}\\n`);\n\n// Group by labels\nconst byLabel = {};\nallIssues.forEach(issue => {\n  issue.labels.forEach(label => {\n    byLabel[label.name] = (byLabel[label.name] || 0) + 1;\n  });\n});\n\nconsole.log('=== Issues by Label ===');\nObject.entries(byLabel)\n  .sort((a, b) => b[1] - a[1])\n  .forEach(([label, count]) => console.log(`  ${label}: ${count}`));\n\n// Oldest issues\nconsole.log('\\n=== 10 Oldest Issues ===');\nallIssues\n  .sort((a, b) => new Date(a.created_at) - new Date(b.created_at))\n  .slice(0, 10)\n  .forEach(i => console.log(`  #${i.number} (${i.created_at.slice(0,10)}): ${i.title}`));\n```\n> summary_prompt: \"Summarize issue distribution by label, highlight stale issues, suggest priorities\"\n> timeout_ms: 30000\n\n---\n\n## JSON Data Analysis\n\n### Analyze a large JSON config file\n\n```javascript\nconst fs = require('fs');\nconst data = JSON.parse(fs.readFileSync('tsconfig.json', 'utf8'));\n\nconsole.log('=== TSConfig Analysis ===');\nconsole.log(`Target: ${data.compilerOptions?.target}`);\nconsole.log(`Module: ${data.compilerOptions?.module}`);\nconsole.log(`Strict: ${data.compilerOptions?.strict}`);\nconsole.log(`Paths aliases: ${Object.keys(data.compilerOptions?.paths || {}).length}`);\n\nif (data.compilerOptions?.paths) {\n  console.log('\\n=== Path Aliases ===');\n  for (const [alias, targets] of Object.entries(data.compilerOptions.paths)) {\n    console.log(`  ${alias} -> ${targets.join(', ')}`);\n  }\n}\n\nif (data.include) console.log(`\\nInclude: ${data.include.join(', ')}`);\nif (data.exclude) console.log(`Exclude: ${data.exclude.join(', ')}`);\nif (data.references) {\n  console.log(`\\nProject References: ${data.references.length}`);\n  data.references.forEach(r => console.log(`  ${r.path}`));\n}\n```\n> summary_prompt: \"Report compiler strictness, module system, and any unusual configuration\"\n\n### Diff two JSON files\n\n```javascript\nconst fs = require('fs');\nconst a = JSON.parse(fs.readFileSync('config.prod.json', 'utf8'));\nconst b = JSON.parse(fs.readFileSync('config.staging.json', 'utf8'));\n\nfunction diffObjects(obj1, obj2, path = '') {\n  const allKeys = new Set([...Object.keys(obj1 || {}), ...Object.keys(obj2 || {})]);\n  for (const key of allKeys) {\n    const fullPath = path ? `${path}.${key}` : key;\n    if (!(key in (obj1 || {}))) {\n      console.log(`+ ${fullPath}: ${JSON.stringify(obj2[key])}`);\n    } else if (!(key in (obj2 || {}))) {\n      console.log(`- ${fullPath}: ${JSON.stringify(obj1[key])}`);\n    } else if (typeof obj1[key] === 'object' && typeof obj2[key] === 'object') {\n      diffObjects(obj1[key], obj2[key], fullPath);\n    } else if (JSON.stringify(obj1[key]) !== JSON.stringify(obj2[key])) {\n      console.log(`~ ${fullPath}: ${JSON.stringify(obj1[key])} -> ${JSON.stringify(obj2[key])}`);\n    }\n  }\n}\n\nconsole.log('=== Config Diff: prod vs staging ===');\ndiffObjects(a, b);\n```\n> summary_prompt: \"List all configuration differences between prod and staging environments\"\n\n---\n\n## Package.json / Lock File Analysis\n\n### Dependency audit\n\n```javascript\nconst fs = require('fs');\nconst pkg = JSON.parse(fs.readFileSync('package.json', 'utf8'));\n\nconst deps = Object.entries(pkg.dependencies || {});\nconst devDeps = Object.entries(pkg.devDependencies || {});\n\nconsole.log(`Package: ${pkg.name}@${pkg.version}`);\nconsole.log(`Dependencies: ${deps.length}`);\nconsole.log(`DevDependencies: ${devDeps.length}`);\n\n// Find non-pinned versions\nconsole.log('\\n=== Non-Pinned Dependencies ===');\n[...deps, ...devDeps].forEach(([name, version]) => {\n  if (version.startsWith('^') || version.startsWith('~') || version === '*') {\n    console.log(`  ${name}: ${version}`);\n  }\n});\n\n// Find duplicated categories\nconsole.log('\\n=== Scripts ===');\nObject.entries(pkg.scripts || {}).forEach(([name, cmd]) => {\n  console.log(`  ${name}: ${cmd}`);\n});\n\n// Workspace detection\nif (pkg.workspaces) {\n  console.log('\\n=== Monorepo Workspaces ===');\n  const ws = Array.isArray(pkg.workspaces) ? pkg.workspaces : pkg.workspaces.packages || [];\n  ws.forEach(w => console.log(`  ${w}`));\n}\n```\n> summary_prompt: \"Report dependency health: unpinned versions, total count, any security concerns from package names\"\n\n### Lock file drift detection\n\n```javascript\nconst fs = require('fs');\nconst pkg = JSON.parse(fs.readFileSync('package.json', 'utf8'));\n\nlet lockExists = { npm: false, yarn: false, pnpm: false };\ntry { fs.accessSync('package-lock.json'); lockExists.npm = true; } catch {}\ntry { fs.accessSync('yarn.lock'); lockExists.yarn = true; } catch {}\ntry { fs.accessSync('pnpm-lock.yaml'); lockExists.pnpm = true; } catch {}\n\nconsole.log('=== Lock File Status ===');\nObject.entries(lockExists).forEach(([mgr, exists]) => {\n  console.log(`  ${mgr}: ${exists ? 'PRESENT' : 'missing'}`);\n});\n\nconst activeLocks = Object.entries(lockExists).filter(([, v]) => v);\nif (activeLocks.length > 1) {\n  console.log('\\nWARNING: Multiple lock files detected! This causes inconsistent installs.');\n}\nif (activeLocks.length === 0) {\n  console.log('\\nWARNING: No lock file found! Dependencies are not reproducible.');\n}\n\n// Check engines\nif (pkg.engines) {\n  console.log('\\n=== Required Engines ===');\n  Object.entries(pkg.engines).forEach(([e, v]) => console.log(`  ${e}: ${v}`));\n}\n```\n> summary_prompt: \"Report lock file health and any warnings about package management\"\n\n---\n\n## File Content Parsing\n\n### Parse and summarize a large markdown file\n\n```javascript\nconst fs = require('fs');\nconst content = fs.readFileSync('CHANGELOG.md', 'utf8');\nconst lines = content.split('\\n');\n\nconst sections = [];\nlet currentSection = null;\n\nfor (const line of lines) {\n  if (line.startsWith('## ')) {\n    if (currentSection) sections.push(currentSection);\n    currentSection = { title: line.replace('## ', ''), items: 0, breaking: 0 };\n  } else if (currentSection && line.startsWith('- ')) {\n    currentSection.items++;\n    if (line.toLowerCase().includes('breaking') || line.toLowerCase().includes('BREAKING')) {\n      currentSection.breaking++;\n    }\n  }\n}\nif (currentSection) sections.push(currentSection);\n\nconsole.log(`Total versions: ${sections.length}\\n`);\nconsole.log('=== Recent Versions ===');\nsections.slice(0, 10).forEach(s => {\n  const warn = s.breaking > 0 ? ` [${s.breaking} BREAKING]` : '';\n  console.log(`  ${s.title}: ${s.items} changes${warn}`);\n});\n\nconst totalBreaking = sections.reduce((sum, s) => sum + s.breaking, 0);\nif (totalBreaking > 0) {\n  console.log(`\\nTotal breaking changes across all versions: ${totalBreaking}`);\n}\n```\n> summary_prompt: \"Summarize recent releases, highlight breaking changes, report release cadence\"\n\n---\n\n## Test Output Parsing\n\n### Run tests and extract failures\n\n```javascript\nconst { execSync } = require('child_process');\n\nlet output;\ntry {\n  output = execSync('npx jest --json 2>/dev/null', { encoding: 'utf8', maxBuffer: 50 * 1024 * 1024 });\n} catch (e) {\n  output = e.stdout || '';\n}\n\ntry {\n  const results = JSON.parse(output);\n  console.log(`=== Test Results ===`);\n  console.log(`Suites: ${results.numPassedTestSuites} passed, ${results.numFailedTestSuites} failed`);\n  console.log(`Tests:  ${results.numPassedTests} passed, ${results.numFailedTests} failed`);\n  console.log(`Time:   ${(results.testResults || []).reduce((s, t) => s + (t.endTime - t.startTime), 0)}ms`);\n\n  const failures = (results.testResults || []).filter(t => t.status === 'failed');\n  if (failures.length > 0) {\n    console.log('\\n=== Failed Tests ===');\n    failures.forEach(suite => {\n      console.log(`\\nSuite: ${suite.name}`);\n      (suite.assertionResults || [])\n        .filter(a => a.status === 'failed')\n        .forEach(a => {\n          console.log(`  FAIL: ${a.ancestorTitles.join(' > ')} > ${a.title}`);\n          console.log(`    ${(a.failureMessages || []).join('\\n    ').slice(0, 200)}`);\n        });\n    });\n  }\n} catch {\n  console.log('Could not parse JSON output. Raw output:');\n  console.log(output.slice(0, 5000));\n}\n```\n> summary_prompt: \"Report test pass/fail counts, list each failing test with its error message\"\n> timeout_ms: 60000\n\n<!-- File: skills/context-mode/references/patterns-python.md (Tokens: ~2417 | Category: anthropic-skill) -->\n# Python Patterns for execute\n\nPractical patterns for using `execute` with `language: python`.\nAll examples use Python standard library only (no pip installs required).\n\n---\n\n## Data Processing with json Module\n\n### Analyze a large JSON dataset\n\n```python\nimport json\n\nwith open('data/users.json') as f:\n    users = json.load(f)\n\nprint(f\"Total users: {len(users)}\")\n\n# Group by status\nfrom collections import Counter\nstatuses = Counter(u.get('status', 'unknown') for u in users)\nprint(\"\\n=== Users by Status ===\")\nfor status, count in statuses.most_common():\n    print(f\"  {status}: {count}\")\n\n# Find anomalies\ninactive_with_recent = [\n    u for u in users\n    if u.get('status') == 'inactive' and u.get('last_login', '') > '2025-01-01'\n]\nif inactive_with_recent:\n    print(f\"\\n=== Anomaly: {len(inactive_with_recent)} inactive users with recent logins ===\")\n    for u in inactive_with_recent[:10]:\n        print(f\"  {u['email']} - last login: {u['last_login']}\")\n\n# Field completeness\nfields = ['name', 'email', 'phone', 'address']\nprint(\"\\n=== Field Completeness ===\")\nfor field in fields:\n    filled = sum(1 for u in users if u.get(field))\n    pct = (filled / len(users)) * 100 if users else 0\n    print(f\"  {field}: {filled}/{len(users)} ({pct:.1f}%)\")\n```\n> summary_prompt: \"Report user distribution, data quality issues, and any anomalies found\"\n\n### Merge and compare two JSON configs\n\n```python\nimport json\n\nwith open('config.default.json') as f:\n    defaults = json.load(f)\nwith open('config.local.json') as f:\n    local = json.load(f)\n\ndef compare(d1, d2, path=\"\"):\n    diffs = []\n    all_keys = set(list(d1.keys()) + list(d2.keys()))\n    for key in sorted(all_keys):\n        full_path = f\"{path}.{key}\" if path else key\n        if key not in d1:\n            diffs.append(f\"  + {full_path} = {json.dumps(d2[key])}\")\n        elif key not in d2:\n            diffs.append(f\"  - {full_path} = {json.dumps(d1[key])}\")\n        elif isinstance(d1[key], dict) and isinstance(d2[key], dict):\n            diffs.extend(compare(d1[key], d2[key], full_path))\n        elif d1[key] != d2[key]:\n            diffs.append(f\"  ~ {full_path}: {json.dumps(d1[key])} -> {json.dumps(d2[key])}\")\n    return diffs\n\ndiffs = compare(defaults, local)\nprint(f\"Config differences: {len(diffs)}\")\nif diffs:\n    print(\"\\n=== Changes (local overrides) ===\")\n    for d in diffs:\n        print(d)\nelse:\n    print(\"No differences found — local matches defaults.\")\n```\n> summary_prompt: \"List all local config overrides and flag any potentially dangerous changes\"\n\n---\n\n## CSV / Log File Analysis\n\n### Analyze a CSV file\n\n```python\nimport csv\nfrom collections import Counter, defaultdict\nfrom datetime import datetime\n\nwith open('data/transactions.csv') as f:\n    reader = csv.DictReader(f)\n    rows = list(reader)\n\nprint(f\"Total records: {len(rows)}\")\nprint(f\"Columns: {', '.join(rows[0].keys()) if rows else 'none'}\")\n\n# Summary statistics for numeric column\namounts = [float(r['amount']) for r in rows if r.get('amount')]\nif amounts:\n    print(f\"\\n=== Amount Statistics ===\")\n    print(f\"  Min:    ${min(amounts):,.2f}\")\n    print(f\"  Max:    ${max(amounts):,.2f}\")\n    print(f\"  Mean:   ${sum(amounts)/len(amounts):,.2f}\")\n    print(f\"  Median: ${sorted(amounts)[len(amounts)//2]:,.2f}\")\n    print(f\"  Total:  ${sum(amounts):,.2f}\")\n\n# Group by category\nif 'category' in rows[0]:\n    by_cat = defaultdict(list)\n    for r in rows:\n        by_cat[r['category']].append(float(r.get('amount', 0)))\n    print(\"\\n=== By Category ===\")\n    for cat, vals in sorted(by_cat.items(), key=lambda x: -sum(x[1])):\n        print(f\"  {cat}: {len(vals)} txns, total ${sum(vals):,.2f}\")\n```\n> summary_prompt: \"Summarize transaction patterns, highlight outliers, report category distribution\"\n\n### Parse application logs\n\n```python\nimport re\nfrom collections import Counter\nfrom datetime import datetime\n\nerror_pattern = re.compile(r'\\[(\\d{4}-\\d{2}-\\d{2} \\d{2}:\\d{2}:\\d{2})\\] (\\w+): (.+)')\n\nlevels = Counter()\nerrors_by_type = Counter()\nhourly = Counter()\n\nwith open('app.log') as f:\n    for line in f:\n        match = error_pattern.match(line.strip())\n        if match:\n            timestamp, level, message = match.groups()\n            levels[level] += 1\n            hour = timestamp[:13]\n            hourly[hour] += 1\n            if level in ('ERROR', 'FATAL'):\n                # Extract error class\n                err_type = message.split(':')[0].strip()\n                errors_by_type[err_type] += 1\n\nprint(\"=== Log Level Distribution ===\")\nfor level, count in levels.most_common():\n    print(f\"  {level}: {count}\")\n\nprint(\"\\n=== Top Error Types ===\")\nfor err, count in errors_by_type.most_common(10):\n    print(f\"  {err}: {count}\")\n\nprint(\"\\n=== Hourly Activity (last 24h) ===\")\nfor hour, count in sorted(hourly.items())[-24:]:\n    bar = '#' * min(count // 10, 50)\n    print(f\"  {hour}: {count:>5} {bar}\")\n```\n> summary_prompt: \"Report error rates, identify the most common failures, and note any traffic spikes\"\n\n---\n\n## Text Extraction and Summarization\n\n### Extract TODOs and FIXMEs from codebase\n\n```python\nimport os\nimport re\n\npattern = re.compile(r'(TODO|FIXME|HACK|XXX|WARN)[:\\s](.+)', re.IGNORECASE)\nresults = []\n\nfor root, dirs, files in os.walk('src'):\n    # Skip node_modules and hidden dirs\n    dirs[:] = [d for d in dirs if not d.startswith('.') and d != 'node_modules']\n    for fname in files:\n        if fname.endswith(('.ts', '.tsx', '.js', '.jsx', '.py')):\n            filepath = os.path.join(root, fname)\n            with open(filepath) as f:\n                for i, line in enumerate(f, 1):\n                    match = pattern.search(line)\n                    if match:\n                        results.append({\n                            'file': filepath,\n                            'line': i,\n                            'type': match.group(1).upper(),\n                            'text': match.group(2).strip()\n                        })\n\nfrom collections import Counter\nby_type = Counter(r['type'] for r in results)\n\nprint(f\"Total annotations found: {len(results)}\\n\")\nprint(\"=== By Type ===\")\nfor t, c in by_type.most_common():\n    print(f\"  {t}: {c}\")\n\nprint(\"\\n=== All Items ===\")\nfor r in results:\n    print(f\"  [{r['type']}] {r['file']}:{r['line']} — {r['text'][:100]}\")\n```\n> summary_prompt: \"Categorize TODOs by urgency, group by file area, suggest which to address first\"\n\n### Summarize a large text/markdown file\n\n```python\nwith open('ARCHITECTURE.md') as f:\n    content = f.read()\n\nlines = content.split('\\n')\nprint(f\"Total lines: {len(lines)}\")\nprint(f\"Total words: {len(content.split())}\")\n\n# Extract structure\nheadings = [(i+1, line) for i, line in enumerate(lines) if line.startswith('#')]\nprint(f\"Sections: {len(headings)}\\n\")\n\nprint(\"=== Document Structure ===\")\nfor line_num, heading in headings:\n    level = len(heading) - len(heading.lstrip('#'))\n    indent = '  ' * (level - 1)\n    print(f\"  {indent}{heading.strip()} (line {line_num})\")\n\n# Extract code blocks\nimport re\ncode_blocks = re.findall(r'```(\\w+)?', content)\nif code_blocks:\n    from collections import Counter\n    langs = Counter(b for b in code_blocks if b)\n    print(f\"\\n=== Code Blocks: {len(code_blocks)} total ===\")\n    for lang, count in langs.most_common():\n        print(f\"  {lang}: {count}\")\n\n# Print first 50 lines for content preview\nprint(\"\\n=== Content Preview (first 50 lines) ===\")\nfor line in lines[:50]:\n    print(line)\n```\n> summary_prompt: \"Summarize the document structure, key architectural decisions, and main components described\"\n\n---\n\n## File Comparison\n\n### Compare two source files\n\n```python\nimport difflib\n\nwith open('src/auth/login.ts') as f:\n    old_lines = f.readlines()\nwith open('src/auth/login.new.ts') as f:\n    new_lines = f.readlines()\n\ndiff = list(difflib.unified_diff(old_lines, new_lines, fromfile='login.ts', tofile='login.new.ts', lineterm=''))\n\nadditions = sum(1 for l in diff if l.startswith('+') and not l.startswith('+++'))\ndeletions = sum(1 for l in diff if l.startswith('-') and not l.startswith('---'))\n\nprint(f\"Changes: +{additions} -{deletions}\\n\")\n\nif diff:\n    print(\"=== Diff ===\")\n    for line in diff:\n        print(line)\nelse:\n    print(\"Files are identical.\")\n```\n> summary_prompt: \"Describe the functional changes between the old and new versions\"\n\n### Find duplicate content across files\n\n```python\nimport os\nimport hashlib\nfrom collections import defaultdict\n\nfile_hashes = defaultdict(list)\n\nfor root, dirs, files in os.walk('src'):\n    dirs[:] = [d for d in dirs if not d.startswith('.') and d != 'node_modules']\n    for fname in files:\n        if fname.endswith(('.ts', '.tsx', '.js', '.jsx')):\n            filepath = os.path.join(root, fname)\n            with open(filepath, 'rb') as f:\n                content_hash = hashlib.md5(f.read()).hexdigest()\n            file_hashes[content_hash].append(filepath)\n\nduplicates = {h: files for h, files in file_hashes.items() if len(files) > 1}\n\nif duplicates:\n    print(f\"Found {len(duplicates)} sets of duplicate files:\\n\")\n    for h, files in duplicates.items():\n        print(f\"  Hash: {h[:8]}...\")\n        for f in files:\n            print(f\"    {f}\")\n        print()\nelse:\n    print(\"No duplicate files found.\")\n```\n> summary_prompt: \"List all duplicate files and suggest which copies to remove\"\n\n<!-- File: skills/context-mode/references/patterns-shell.md (Tokens: ~2067 | Category: anthropic-skill) -->\n# Shell Patterns for execute\n\nPractical patterns for using `execute` with `language: shell`.\nBest for piping, filtering, and leveraging native OS tools.\n\n---\n\n## Build Output Filtering\n\n### Capture build errors only\n\n```shell\nnpm run build 2>&1 | tee /tmp/build-output.txt\nEXIT_CODE=${PIPESTATUS[0]}\n\necho \"=== Build Result ===\"\necho \"Exit code: $EXIT_CODE\"\n\nif [ \"$EXIT_CODE\" -ne 0 ]; then\n  echo \"\"\n  echo \"=== Errors ===\"\n  grep -iE '(error|failed|FAIL)' /tmp/build-output.txt | head -50\n  echo \"\"\n  echo \"=== Warnings ===\"\n  grep -iE '(warning|warn)' /tmp/build-output.txt | head -20\nelse\n  echo \"Build succeeded.\"\n  echo \"\"\n  echo \"=== Warnings (if any) ===\"\n  grep -iE '(warning|warn)' /tmp/build-output.txt | head -10\nfi\n\necho \"\"\necho \"=== Output Size ===\"\nwc -l < /tmp/build-output.txt | xargs -I{} echo \"{} total lines of output\"\nrm -f /tmp/build-output.txt\n```\n> summary_prompt: \"Report build success/failure, list all errors with file paths, and count warnings\"\n> timeout_ms: 120000\n\n### TypeScript compilation check\n\n```shell\nnpx tsc --noEmit 2>&1 | tee /tmp/tsc-output.txt\nEXIT_CODE=${PIPESTATUS[0]}\n\necho \"=== TypeScript Check ===\"\necho \"Exit code: $EXIT_CODE\"\n\nTOTAL_ERRORS=$(grep -c 'error TS' /tmp/tsc-output.txt 2>/dev/null || echo 0)\necho \"Total errors: $TOTAL_ERRORS\"\n\nif [ \"$TOTAL_ERRORS\" -gt 0 ]; then\n  echo \"\"\n  echo \"=== Errors by Code ===\"\n  grep -oP 'error TS\\d+' /tmp/tsc-output.txt | sort | uniq -c | sort -rn | head -20\n\n  echo \"\"\n  echo \"=== Errors by File ===\"\n  grep 'error TS' /tmp/tsc-output.txt | cut -d'(' -f1 | sort | uniq -c | sort -rn | head -20\n\n  echo \"\"\n  echo \"=== First 30 Errors ===\"\n  grep 'error TS' /tmp/tsc-output.txt | head -30\nfi\n\nrm -f /tmp/tsc-output.txt\n```\n> summary_prompt: \"Report type error count, most common error codes, and most affected files\"\n> timeout_ms: 60000\n\n---\n\n## Test Result Summarization\n\n### Jest test summary\n\n```shell\nnpx jest --verbose 2>&1 | tee /tmp/test-output.txt\nEXIT_CODE=${PIPESTATUS[0]}\n\necho \"\"\necho \"=== Test Summary ===\"\necho \"Exit code: $EXIT_CODE\"\n\n# Extract summary line\ngrep -E '(Tests:|Test Suites:|Snapshots:|Time:)' /tmp/test-output.txt\n\necho \"\"\necho \"=== Failed Tests ===\"\ngrep -A 2 'FAIL ' /tmp/test-output.txt | head -40\n\necho \"\"\necho \"=== Slow Tests (if reported) ===\"\ngrep -i 'slow' /tmp/test-output.txt | head -10\n\nrm -f /tmp/test-output.txt\n```\n> summary_prompt: \"Report pass/fail ratio, list all failing test names with suite, note any slow tests\"\n> timeout_ms: 120000\n\n### Pytest summary\n\n```shell\npython -m pytest --tb=short -q 2>&1 | tee /tmp/pytest-output.txt\nEXIT_CODE=${PIPESTATUS[0]}\n\necho \"\"\necho \"=== Pytest Summary ===\"\necho \"Exit code: $EXIT_CODE\"\n\n# Last 20 lines usually contain the summary\ntail -20 /tmp/pytest-output.txt\n\necho \"\"\necho \"=== Failures ===\"\ngrep -E '(FAILED|ERROR)' /tmp/pytest-output.txt | head -30\n\nrm -f /tmp/pytest-output.txt\n```\n> summary_prompt: \"Report test results, list all failures with file and test name\"\n> timeout_ms: 120000\n\n---\n\n## Log File Analysis\n\n### Filter application logs by severity\n\n```shell\nLOG_FILE=\"${1:-/var/log/app.log}\"\n\necho \"=== Log File: $LOG_FILE ===\"\necho \"Total lines: $(wc -l < \"$LOG_FILE\")\"\necho \"\"\n\necho \"=== Level Distribution ===\"\ngrep -oE '\\b(DEBUG|INFO|WARN|ERROR|FATAL)\\b' \"$LOG_FILE\" | sort | uniq -c | sort -rn\n\necho \"\"\necho \"=== Last 20 Errors ===\"\ngrep -i 'ERROR\\|FATAL' \"$LOG_FILE\" | tail -20\n\necho \"\"\necho \"=== Error Timeline (hourly) ===\"\ngrep -i 'ERROR' \"$LOG_FILE\" | grep -oE '\\d{4}-\\d{2}-\\d{2} \\d{2}' | sort | uniq -c | tail -24\n```\n> summary_prompt: \"Report error frequency, identify patterns, and note any error spikes\"\n\n### Analyze access logs\n\n```shell\nLOG_FILE=\"${1:-/var/log/access.log}\"\n\necho \"=== Access Log Summary ===\"\necho \"Total requests: $(wc -l < \"$LOG_FILE\")\"\n\necho \"\"\necho \"=== HTTP Status Codes ===\"\nawk '{print $9}' \"$LOG_FILE\" | sort | uniq -c | sort -rn | head -10\n\necho \"\"\necho \"=== Top 20 Paths ===\"\nawk '{print $7}' \"$LOG_FILE\" | sort | uniq -c | sort -rn | head -20\n\necho \"\"\necho \"=== Top 10 IPs ===\"\nawk '{print $1}' \"$LOG_FILE\" | sort | uniq -c | sort -rn | head -10\n\necho \"\"\necho \"=== 5xx Errors ===\"\nawk '$9 ~ /^5/' \"$LOG_FILE\" | tail -20\n\necho \"\"\necho \"=== Requests per Hour ===\"\nawk '{print $4}' \"$LOG_FILE\" | cut -d: -f1-2 | sort | uniq -c | tail -24\n```\n> summary_prompt: \"Report traffic patterns, error rates, most hit endpoints, and suspicious IPs\"\n\n---\n\n## Directory Size and Structure Analysis\n\n### Project structure overview\n\n```shell\necho \"=== Directory Structure ===\"\nfind . -maxdepth 3 -type d \\\n  ! -path '*/node_modules/*' \\\n  ! -path '*/.git/*' \\\n  ! -path '*/dist/*' \\\n  ! -path '*/.next/*' \\\n  ! -path '*/__pycache__/*' \\\n  | sort\n\necho \"\"\necho \"=== File Type Distribution ===\"\nfind . -type f \\\n  ! -path '*/node_modules/*' \\\n  ! -path '*/.git/*' \\\n  ! -path '*/dist/*' \\\n  | sed 's/.*\\.//' | sort | uniq -c | sort -rn | head -20\n\necho \"\"\necho \"=== Largest Files (top 20) ===\"\nfind . -type f \\\n  ! -path '*/node_modules/*' \\\n  ! -path '*/.git/*' \\\n  -exec ls -la {} \\; | sort -k5 -rn | head -20 | awk '{print $5, $9}'\n\necho \"\"\necho \"=== Directory Sizes ===\"\ndu -sh */ 2>/dev/null | sort -rh | head -15\n```\n> summary_prompt: \"Describe the project structure, identify large files that may need attention, report file type distribution\"\n\n### Disk usage investigation\n\n```shell\necho \"=== Top-Level Disk Usage ===\"\ndu -sh */ 2>/dev/null | sort -rh\n\necho \"\"\necho \"=== node_modules Size ===\"\nif [ -d \"node_modules\" ]; then\n  du -sh node_modules\n  echo \"\"\n  echo \"=== Largest node_modules packages ===\"\n  du -sh node_modules/*/ 2>/dev/null | sort -rh | head -20\nelse\n  echo \"No node_modules directory\"\nfi\n\necho \"\"\necho \"=== Build Artifacts ===\"\nfor dir in dist build .next out .cache; do\n  if [ -d \"$dir\" ]; then\n    echo \"  $dir: $(du -sh \"$dir\" | cut -f1)\"\n  fi\ndone\n\necho \"\"\necho \"=== Git Objects Size ===\"\nif [ -d \".git\" ]; then\n  du -sh .git\nfi\n```\n> summary_prompt: \"Report total project size, largest contributors, and recommend cleanup targets\"\n\n---\n\n## Git Analysis\n\n### Commit activity analysis\n\n```shell\necho \"=== Recent Commits (last 30 days) ===\"\ngit log --since=\"30 days ago\" --oneline | wc -l | xargs -I{} echo \"{} commits in last 30 days\"\n\necho \"\"\necho \"=== Commits by Author ===\"\ngit shortlog -sn --since=\"30 days ago\" | head -15\n\necho \"\"\necho \"=== Most Changed Files (last 30 days) ===\"\ngit log --since=\"30 days ago\" --pretty=format: --name-only | sort | uniq -c | sort -rn | head -20\n\necho \"\"\necho \"=== Branches ===\"\necho \"Local: $(git branch | wc -l | xargs)\"\necho \"Remote: $(git branch -r | wc -l | xargs)\"\n\necho \"\"\necho \"=== Stale Branches (merged, excluding main/master) ===\"\ngit branch --merged main 2>/dev/null | grep -v 'main\\|master\\|\\*' | head -10\n```\n> summary_prompt: \"Report development velocity, active contributors, hotspot files, and cleanup opportunities\"\n\n<!-- File: skills/context-mode/SKILL.md (Tokens: ~4015 | Category: anthropic-skill) -->\n---\nname: context-mode\ndescription: |\n  Use context-mode tools (ctx_execute, ctx_execute_file) instead of Bash/cat when processing\n  large outputs. Triggers: \"analyze logs\", \"summarize output\", \"process data\",\n  \"parse JSON\", \"filter results\", \"extract errors\", \"check build output\",\n  \"analyze dependencies\", \"process API response\", \"large file analysis\",\n  \"page snapshot\", \"browser snapshot\", \"DOM structure\", \"inspect page\",\n  \"accessibility tree\", \"Playwright snapshot\",\n  \"run tests\", \"test output\", \"coverage report\", \"git log\", \"recent commits\",\n  \"diff between branches\", \"list containers\", \"pod status\", \"disk usage\",\n  \"fetch docs\", \"API reference\", \"index documentation\",\n  \"call API\", \"check response\", \"query results\",\n  \"find TODOs\", \"count lines\", \"codebase statistics\", \"security audit\",\n  \"outdated packages\", \"dependency tree\", \"cloud resources\", \"CI/CD output\".\n  Also triggers on ANY MCP tool output that may exceed 20 lines.\n  Subagent routing is handled automatically via PreToolUse hook.\n---\n\n# Context Mode: Default for All Large Output\n\n## MANDATORY RULE\n\n<context_mode_logic>\n  <mandatory_rule>\n    Default to context-mode for ALL commands. Only use Bash for guaranteed-small-output operations.\n  </mandatory_rule>\n</context_mode_logic>\n\nBash whitelist (safe to run directly):\n- **File mutations**: `mkdir`, `mv`, `cp`, `rm`, `touch`, `chmod`\n- **Git writes**: `git add`, `git commit`, `git push`, `git checkout`, `git branch`, `git merge`\n- **Navigation**: `cd`, `pwd`, `which`\n- **Process control**: `kill`, `pkill`\n- **Package management**: `npm install`, `npm publish`, `pip install`\n- **Simple output**: `echo`, `printf`\n\n**Everything else → `ctx_execute` or `ctx_execute_file`.** Any command that reads, queries, fetches, lists, logs, tests, builds, diffs, inspects, or calls an external service. This includes ALL CLIs (gh, aws, kubectl, docker, terraform, wrangler, fly, heroku, gcloud, etc.) — there are thousands and we cannot list them all.\n\n**When uncertain, use context-mode.** Every KB of unnecessary context reduces the quality and speed of the entire session.\n\n## Decision Tree\n\n```\nAbout to run a command / read a file / call an API?\n│\n├── Command is on the Bash whitelist (file mutations, git writes, navigation, echo)?\n│   └── Use Bash\n│\n├── Output MIGHT be large or you're UNSURE?\n│   └── Use context-mode ctx_execute or ctx_execute_file\n│\n├── Fetching web documentation or HTML page?\n│   └── Use ctx_fetch_and_index → ctx_search\n│\n├── Using Playwright (navigate, snapshot, console, network)?\n│   └── ALWAYS use filename parameter to save to file, then:\n│       browser_snapshot(filename) → ctx_index(path) or ctx_execute_file(path)\n│       browser_console_messages(filename) → ctx_execute_file(path)\n│       browser_network_requests(filename) → ctx_execute_file(path)\n│       ⚠ browser_navigate returns a snapshot automatically — ignore it,\n│         use browser_snapshot(filename) for any inspection.\n│       ⚠ Playwright MCP uses a SINGLE browser instance — NOT parallel-safe.\n│         For parallel browser ops, use agent-browser via execute instead.\n│\n├── Using agent-browser (parallel-safe browser automation)?\n│   └── Run via execute (shell) — each call gets its own subprocess:\n│       execute(\"agent-browser open example.com && agent-browser snapshot -i -c\")\n│       ✓ Supports sessions for isolated browser instances\n│       ✓ Safe for parallel subagent execution\n│       ✓ Lightweight accessibility tree with ref-based interaction\n│\n├── Processing output from another MCP tool (Context7, GitHub API, etc.)?\n│   ├── Output already in context from a previous tool call?\n│   │   └── Use it directly. Do NOT re-index with ctx_index(content: ...).\n│   ├── Need to search the output multiple times?\n│   │   └── Save to file via ctx_execute, then ctx_index(path) → ctx_search\n│   └── One-shot extraction?\n│       └── Save to file via ctx_execute, then ctx_execute_file(path)\n│\n└── Reading a file to analyze/summarize (not edit)?\n    └── Use ctx_execute_file (file loads into FILE_CONTENT, not context)\n```\n\n## When to Use Each Tool\n\n| Situation | Tool | Example |\n|-----------|------|---------|\n| Hit an API endpoint | `ctx_execute` | `fetch('http://localhost:3000/api/orders')` |\n| Run CLI that returns data | `ctx_execute` | `gh pr list`, `aws s3 ls`, `kubectl get pods` |\n| Run tests | `ctx_execute` | `npm test`, `pytest`, `go test ./...` |\n| Git operations | `ctx_execute` | `git log --oneline -50`, `git diff HEAD~5` |\n| Docker/K8s inspection | `ctx_execute` | `docker stats --no-stream`, `kubectl describe pod` |\n| Read a log file | `ctx_execute_file` | Parse access.log, error.log, build output |\n| Read a data file | `ctx_execute_file` | Analyze CSV, JSON, YAML, XML |\n| Read source code to analyze | `ctx_execute_file` | Count functions, find patterns, extract metrics |\n| Fetch web docs | `ctx_fetch_and_index` | Index React/Next.js/Zod docs, then search |\n| Playwright snapshot | `browser_snapshot(filename)` → `ctx_index(path)` → `ctx_search` | Save to file, index server-side, query |\n| Playwright snapshot (one-shot) | `browser_snapshot(filename)` → `ctx_execute_file(path)` | Save to file, extract in sandbox |\n| Playwright console/network | `browser_*(filename)` → `ctx_execute_file(path)` | Save to file, analyze in sandbox |\n| MCP output (already in context) | Use directly | Don't re-index — it's already loaded |\n| MCP output (need multi-query) | `ctx_execute` to save → `ctx_index(path)` → `ctx_search` | Save to file first, index server-side |\n| Wipe indexed KB content | `ctx_purge(confirm: true)` | Permanently deletes all indexed content |\n\n## Automatic Triggers\n\nUse context-mode for ANY of these, without being asked:\n\n- **API debugging**: \"hit this endpoint\", \"call the API\", \"check the response\", \"find the bug in the response\"\n- **Log analysis**: \"check the logs\", \"what errors\", \"read access.log\", \"debug the 500s\"\n- **Test runs**: \"run the tests\", \"check if tests pass\", \"test suite output\"\n- **Git history**: \"show recent commits\", \"git log\", \"what changed\", \"diff between branches\"\n- **Data inspection**: \"look at the CSV\", \"parse the JSON\", \"analyze the config\"\n- **Infrastructure**: \"list containers\", \"check pods\", \"S3 buckets\", \"show running services\"\n- **Dependency audit**: \"check dependencies\", \"outdated packages\", \"security audit\"\n- **Build output**: \"build the project\", \"check for warnings\", \"compile errors\"\n- **Code metrics**: \"count lines\", \"find TODOs\", \"function count\", \"analyze codebase\"\n- **Web docs lookup**: \"look up the docs\", \"check the API reference\", \"find examples\"\n\n## Language Selection\n\n| Situation | Language | Why |\n|-----------|----------|-----|\n| HTTP/API calls, JSON | `javascript` | Native fetch, JSON.parse, async/await |\n| Data analysis, CSV, stats | `python` | csv, statistics, collections, re |\n| Shell commands with pipes | `shell` | grep, awk, jq, native tools |\n| File pattern matching | `shell` | find, wc, sort, uniq |\n\n## Search Query Strategy\n\n- BM25 uses **OR semantics** — results matching more terms rank higher automatically\n- Use 2-4 specific technical terms per query\n- **Always use `source` parameter** when multiple docs are indexed to avoid cross-source contamination\n  - Partial match works: `source: \"Node\"` matches `\"Node.js v22 CHANGELOG\"`\n- **Always use `queries` array** — batch ALL search questions in ONE call:\n  - `ctx_search(queries: [\"transform pipe\", \"refine superRefine\", \"coerce codec\"], source: \"Zod\")`\n  - NEVER make multiple separate ctx_search() calls — put all queries in one array\n\n## External Documentation\n\n- **Always use `ctx_fetch_and_index`** for external docs — NEVER `cat` or `ctx_execute` with local paths for packages you don't own\n- For GitHub-hosted projects, use the raw URL: `https://raw.githubusercontent.com/org/repo/main/CHANGELOG.md`\n- After indexing, use the `source` parameter in search to scope results to that specific document\n\n## Critical Rules\n\n1. **Always console.log/print your findings.** stdout is all that enters context. No output = wasted call.\n2. **Write analysis code, not just data dumps.** Don't `console.log(JSON.stringify(data))` — analyze first, print findings.\n3. **Be specific in output.** Print bug details with IDs, line numbers, exact values — not just counts.\n4. **For files you need to EDIT**: Use the normal Read tool. context-mode is for analysis, not editing.\n5. **For Bash whitelist commands only**: Use Bash for file mutations, git writes, navigation, process control, package install, and echo. Everything else goes through context-mode.\n6. **Never use `ctx_index(content: large_data)`.** Use `ctx_index(path: ...)` to read files server-side. The `content` parameter sends data through context as a tool parameter — use it only for small inline text.\n7. **Always use `filename` parameter** on Playwright tools (`browser_snapshot`, `browser_console_messages`, `browser_network_requests`). Without it, the full output enters context.\n8. **Don't re-index data already in context.** If an MCP tool returned data in a previous response, it's already loaded — use it directly or save to file first.\n\n## Sandboxed Data Workflow\n\n<sandboxed_data_workflow>\n  <critical_rule>\n    When using tools that support saving to a file: ALWAYS use the 'filename' parameter.\n    NEVER return large raw datasets directly to context.\n  </critical_rule>\n  <workflow>\n    LargeDataTool(filename: \"path\") → mcp__context-mode__ctx_index(path: \"path\") → ctx_search()\n  </workflow>\n</sandboxed_data_workflow>\n\nThis is the universal pattern for context preservation regardless of\nthe source tool (Playwright, GitHub API, AWS CLI, etc.).\n\n## Examples\n\n### Debug an API endpoint\n```javascript\nconst resp = await fetch('http://localhost:3000/api/orders');\nconst { orders } = await resp.json();\n\nconst bugs = [];\nconst negQty = orders.filter(o => o.quantity < 0);\nif (negQty.length) bugs.push(`Negative qty: ${negQty.map(o => o.id).join(', ')}`);\n\nconst nullFields = orders.filter(o => !o.product || !o.customer);\nif (nullFields.length) bugs.push(`Null fields: ${nullFields.map(o => o.id).join(', ')}`);\n\nconsole.log(`${orders.length} orders, ${bugs.length} bugs found:`);\nbugs.forEach(b => console.log(`- ${b}`));\n```\n\n### Analyze test output\n```shell\nnpm test 2>&1\necho \"EXIT=$?\"\n```\n\n### Check GitHub PRs\n```shell\ngh pr list --json number,title,state,reviewDecision --jq '.[] | \"\\(.number) [\\(.state)] \\(.title) — \\(.reviewDecision // \"no review\")\"'\n```\n\n### Read and analyze a large file\n```python\n# FILE_CONTENT is pre-loaded by ctx_execute_file\nimport json\ndata = json.loads(FILE_CONTENT)\nprint(f\"Records: {len(data)}\")\n# ... analyze and print findings\n```\n\n## Browser & Playwright Integration\n\n**When a task involves Playwright snapshots, screenshots, or page inspection, ALWAYS route through file → sandbox.**\n\nPlaywright `browser_snapshot` returns 10K–135K tokens of accessibility tree data. Calling it without `filename` dumps all of that into context. Passing the output to `ctx_index(content: ...)` sends it into context a SECOND time as a parameter. Both are wrong.\n\n**The key insight**: `browser_snapshot` has a `filename` parameter that saves to file instead of returning to context. `ctx_index` has a `path` parameter that reads files server-side. `ctx_execute_file` processes files in a sandbox. **None of these touch context.**\n\n### Workflow A: Snapshot → File → Index → Search (multiple queries)\n\n```\nStep 1: browser_snapshot(filename: \"/tmp/playwright-snapshot.md\")\n        → saves to file, returns ~50B confirmation (NOT 135K tokens)\n\nStep 2: ctx_index(path: \"/tmp/playwright-snapshot.md\", source: \"Playwright snapshot\")\n        → reads file SERVER-SIDE, indexes into FTS5, returns ~80B confirmation\n\nStep 3: ctx_search(queries: [\"login form email password\"], source: \"Playwright\")\n        → returns only matching chunks (~300B)\n```\n\n**Total context: ~430B** instead of 270K tokens. Real 99% savings.\n\n### Workflow B: Snapshot → File → Execute File (one-shot extraction)\n\n```\nStep 1: browser_snapshot(filename: \"/tmp/playwright-snapshot.md\")\n        → saves to file, returns ~50B confirmation\n\nStep 2: ctx_execute_file(path: \"/tmp/playwright-snapshot.md\", language: \"javascript\", code: \"\n          const links = [...FILE_CONTENT.matchAll(/- link \\\"([^\\\"]+)\\\"/g)].map(m => m[1]);\n          const buttons = [...FILE_CONTENT.matchAll(/- button \\\"([^\\\"]+)\\\"/g)].map(m => m[1]);\n          const inputs = [...FILE_CONTENT.matchAll(/- textbox|- checkbox|- radio/g)];\n          console.log('Links:', links.length, '| Buttons:', buttons.length, '| Inputs:', inputs.length);\n          console.log('Navigation:', links.slice(0, 10).join(', '));\n        \")\n        → processes in sandbox, returns ~200B summary\n```\n\n**Total context: ~250B** instead of 135K tokens.\n\n### Workflow C: Console & Network (save to file if large)\n\n```\nbrowser_console_messages(level: \"error\", filename: \"/tmp/console.md\")\n→ ctx_execute_file(path: \"/tmp/console.md\", ...) or ctx_index(path: \"/tmp/console.md\", ...)\n\nbrowser_network_requests(includeStatic: false, filename: \"/tmp/network.md\")\n→ ctx_execute_file(path: \"/tmp/network.md\", ...) or ctx_index(path: \"/tmp/network.md\", ...)\n```\n\n### CRITICAL: Why `filename` + `path` is mandatory\n\n| Approach | Context cost | Correct? |\n|----------|-------------|----------|\n| `browser_snapshot()` → raw into context | **135K tokens** | NO |\n| `browser_snapshot()` → `ctx_index(content: raw)` | **270K tokens** (doubled!) | NO |\n| `browser_snapshot(filename)` → `ctx_index(path)` → `ctx_search` | **~430B** | YES |\n| `browser_snapshot(filename)` → `ctx_execute_file(path)` | **~250B** | YES |\n\n### Key Rule\n\n> **ALWAYS use `filename` parameter when calling `browser_snapshot`, `browser_console_messages`, or `browser_network_requests`.**\n> Then process via `ctx_index(path: ...)` or `ctx_execute_file(path: ...)` — never `ctx_index(content: ...)`.\n>\n> Data flow: **Playwright → file → server-side read → context**. Never: **Playwright → context → ctx_index(content) → context again**.\n\n## Subagent Usage\n\nSubagents automatically receive context-mode tool routing via a PreToolUse hook. You do NOT need to manually add tool names to subagent prompts — the hook injects them. Just write natural task descriptions.\n\n## Anti-Patterns\n\n- Using `curl http://api/endpoint` via Bash → 50KB floods context. Use `ctx_execute` with fetch instead.\n- Using `cat large-file.json` via Bash → entire file in context. Use `ctx_execute_file` instead.\n- Using `gh pr list` via Bash → raw JSON in context. Use `ctx_execute` with `--jq` filter instead.\n- Piping Bash output through `| head -20` → you lose the rest. Use `ctx_execute` to analyze ALL data and print summary.\n- Narrowing `ctx_execute` output upstream of capture → `ctx_execute` captures, `ctx_search` filters; merging the layers drops data that the index never sees. See `references/anti-patterns.md` §8.\n- Running `npm test` via Bash → full test output in context. Use `ctx_execute` to capture and summarize.\n- Calling `browser_snapshot()` WITHOUT `filename` parameter → 135K tokens flood context. **Always** use `browser_snapshot(filename: \"/tmp/snap.md\")`.\n- Calling `browser_console_messages()` or `browser_network_requests()` WITHOUT `filename` → entire output floods context. **Always** use the `filename` parameter.\n- Passing ANY large data to `ctx_index(content: ...)` → data enters context as a parameter. **Always** use `ctx_index(path: ...)` to read server-side. The `content` parameter should only be used for small inline text you're composing yourself.\n- Calling an MCP tool (Context7 `query-docs`, GitHub API, etc.) then passing the response to `ctx_index(content: response)` → **doubles** context usage. The response is already in context — use it directly or save to file first.\n- Ignoring `browser_navigate` auto-snapshot → navigation response includes a full page snapshot. Don't rely on it for inspection — call `browser_snapshot(filename)` separately.\n- Expecting `ctx_stats` to reset or wipe anything → `ctx_stats` is read-only (shows stats only). Use `ctx_purge(confirm: true)` to permanently delete all indexed content.\n\n## Reference Files\n\n- [JavaScript/TypeScript Patterns](./references/patterns-javascript.md)\n- [Python Patterns](./references/patterns-python.md)\n- [Shell Patterns](./references/patterns-shell.md)\n- [Anti-Patterns & Common Mistakes](./references/anti-patterns.md)\n\n<!-- File: skills/ctx-doctor/SKILL.md (Tokens: ~270 | Category: anthropic-skill) -->\n---\nname: ctx-doctor\ndescription: |\n  Run context-mode diagnostics. Checks runtimes, hooks, FTS5,\n  plugin registration, npm and marketplace versions.\n  Trigger: /context-mode:ctx-doctor\nuser-invocable: true\n---\n\n# Context Mode Doctor\n\nRun diagnostics and display results directly in the conversation.\n\n## Instructions\n\n1. Call the `ctx_doctor` MCP tool directly. It runs all checks server-side and returns a plain-text status report.\n2. Display the results verbatim — they are already formatted with plain-text status prefixes: `[OK]` PASS, `[FAIL]` FAIL, `[WARN]` WARN. Renderer-safe (no markdown task-list syntax) for cross-client compatibility (e.g., Z.ai GLM).\n3. **Fallback** (only if MCP tool call fails): Derive the **plugin root** from this skill's base directory (go up 2 levels — remove `/skills/ctx-doctor`), then run with Bash:\n   ```\n   CLI=\"<PLUGIN_ROOT>/cli.bundle.mjs\"; [ ! -f \"$CLI\" ] && CLI=\"<PLUGIN_ROOT>/build/cli.js\"; node \"$CLI\" doctor\n   ```\n   Re-display results verbatim with the same `[OK]`/`[FAIL]`/`[WARN]` prefixes.\n\n<!-- File: skills/ctx-index/SKILL.md (Tokens: ~310 | Category: anthropic-skill) -->\n---\nname: ctx-index\ndescription: |\n  Index a local file or directory into context-mode's persistent FTS5 knowledge base\n  so future ctx_search calls can retrieve focused snippets without rereading raw files.\n  Trigger: /context-mode:ctx-index\nuser-invocable: true\n---\n\n# Context Mode Index\n\nIndex local project content for later search.\n\n## Instructions\n\n1. Prefer the `ctx_index` MCP tool when it is available.\n2. Ask for a path only if the user did not provide one and the current project root is ambiguous.\n3. Use `path`, not large inline `content`, so file bytes do not enter the conversation.\n4. For repository indexing, pass conservative bounds and a clear source label:\n\n```javascript\nctx_index({\n  path: \".\",\n  source: \"project:<name>\",\n  maxDepth: 5,\n  maxFiles: 200\n})\n```\n\n5. If MCP tools are unavailable, fall back to the CLI:\n\n```bash\ncontext-mode index . --source project:<name>\n```\n\n6. Report the indexed source label, file count or section count, and the matching search command:\n\n```javascript\nctx_search({ source: \"project:<name>\", queries: [\"...\"] })\n```\n\n## Safety\n\n- Do not index dependency directories, build outputs, secrets, or generated artifacts.\n- Prefer `--exclude` or `exclude` for project-specific noisy paths.\n- For broad repos, ask the user before raising `maxFiles` above 500.\n\n<!-- File: skills/ctx-insight/SKILL.md (Tokens: ~214 | Category: anthropic-skill) -->\n---\nname: ctx-insight\ndescription: |\n  Open the context-mode Insight dashboard in your default browser.\n  Insight is the hosted analytics layer for AI-assisted engineering teams —\n  per-engineer productive rate, retry waste, blocker detection, role-narrowed views.\n  Trigger: /context-mode:ctx-insight\nuser-invocable: true\n---\n\n# Context Mode Insight\n\nOpen the hosted Insight dashboard in the user's default browser.\n\n## Instructions\n\n1. Call the `ctx_insight` MCP tool (no parameters). It opens\n   <https://context-mode.com/insight> in the default browser and returns a\n   confirmation line.\n2. Display the tool's output to the user.\n3. Tell the user:\n   - \"Insight opened at https://context-mode.com/insight\"\n   - The landing page at context-mode.com/insight is the single source of truth for sign-in and pricing details.\n   - If the browser did not open automatically, share the URL so they can open it manually.\n\n<!-- File: skills/ctx-purge/SKILL.md (Tokens: ~623 | Category: anthropic-skill) -->\n---\nname: ctx-purge\ndescription: |\n  Purge the context-mode knowledge base. Permanently deletes all indexed content\n  and resets session stats. This is destructive and cannot be undone.\n  Trigger: /context-mode:ctx-purge\nuser-invocable: true\n---\n\n# Context Mode Purge\n\nPermanently deletes session data for this project. Two scopes are supported (issue #520):\n\n- **Project scope** (`scope: \"project\"`): wipes EVERYTHING — knowledge base, all session DB rows for every session, events markdown, and stats.\n- **Session scope** (`sessionId: \"<id>\"` or `scope: \"session\"`): wipes ONLY the matching session's rows + FTS5 chunks. Sibling sessions, project stats, and the FTS5 store file are preserved.\n\n## Instructions\n\n1. **Decide the scope first** with the user:\n   - \"Wipe just one session?\" → ask for the `sessionId`.\n   - \"Wipe the whole project?\" → confirm scope:'project' (this is the destructive, irreversible default).\n2. **Warn the user about scope:'project'**. Everything will be deleted:\n   - FTS5 knowledge base (all indexed content from `ctx_index`, `ctx_fetch_and_index`, `ctx_batch_execute`)\n   - Session events DB (analytics, metadata, resume snapshots) for ALL sessions in the project\n   - Session events markdown file\n   - In-memory session stats + persisted stats file\n3. Call the `mcp__context-mode__ctx_purge` MCP tool with the chosen parameters:\n   - Scoped: `{ confirm: true, sessionId: \"<id>\" }` — implies scope:'session'.\n   - Project: `{ confirm: true, scope: \"project\" }` — explicit destructive form.\n   - Bare `{ confirm: true }` still works but emits a deprecation warning. Prefer the explicit forms.\n4. Report the result to the user — the response lists exactly what was deleted and (for scoped purges) confirms that other sessions and project stats were preserved.\n\n## Schema rules\n\n- `confirm: true` is always required.\n- `sessionId` and `scope: \"project\"` together is REJECTED as ambiguous (the sessionId implies session scope; combining with project scope contradicts intent).\n- `scope: \"session\"` without `sessionId` throws — sessionId is required.\n\n## When to Use\n\n- **Scoped (per-session)**: scratch acceptance scenarios, drill replays, isolating a polluted session without losing the main working session's stats.\n- **Project**: KB contains stale or incorrect content polluting search results, switching between unrelated projects in the same session, completely fresh start.\n\n## Important\n\n- `ctx_purge` is the **only** way to delete session data. No other mechanism exists.\n- `ctx_stats` is read-only — shows statistics only.\n- `/clear` and `/compact` do NOT affect any context-mode data.\n- There is no undo. Re-index content if you need it again.\n\n<!-- File: skills/ctx-search/SKILL.md (Tokens: ~234 | Category: anthropic-skill) -->\n---\nname: ctx-search\ndescription: |\n  Search context-mode's persistent FTS5 knowledge base for previously indexed\n  local project content, documentation, or session memory.\n  Trigger: /context-mode:ctx-search\nuser-invocable: true\n---\n\n# Context Mode Search\n\nSearch indexed content without rereading raw sources into conversation context.\n\n## Instructions\n\n1. Prefer the `ctx_search` MCP tool when it is available.\n2. Batch all related questions in one `queries` array.\n3. Scope with `source` when the user names a project or indexed label.\n4. Use short, specific queries of two to four technical terms.\n\n```javascript\nctx_search({\n  source: \"project:<name>\",\n  queries: [\"authentication middleware\", \"token refresh\"],\n  limit: 5\n})\n```\n\n5. If MCP tools are unavailable, fall back to the CLI:\n\n```bash\ncontext-mode search \"authentication middleware\" --source project:<name> --limit 5\n```\n\n6. If the index is empty, tell the user to run `/context-mode:ctx-index` or `context-mode index <path>` first.\n\n<!-- File: skills/ctx-stats/SKILL.md (Tokens: ~275 | Category: anthropic-skill) -->\n---\nname: ctx-stats\ndescription: |\n  Show how much context window context-mode saved this session.\n  Displays token consumption, context savings ratio, and per-tool breakdown.\n  Read-only — shows stats only, no reset capability.\n  To wipe the knowledge base entirely, use ctx_purge instead.\n  Trigger: /context-mode:ctx-stats\nuser-invocable: true\n---\n\n# Context Mode Stats\n\nShow context savings for the current session.\n\n## Instructions\n\n1. Call the `mcp__context-mode__ctx_stats` MCP tool (no parameters needed).\n2. **CRITICAL**: You MUST copy-paste the ENTIRE tool output as markdown text directly into your response message. Do NOT summarize, do NOT collapse, do NOT paraphrase. The user must see the full tables without pressing ctrl+o. Copy every line exactly as returned by the tool.\n3. After the full output, add ONE sentence highlighting the key savings metric, e.g.:\n   - \"context-mode saved **12.4x** — 92% of data stayed in sandbox.\"\n   - If no data yet: \"No context-mode calls yet this session.\"\n\n## Purge\n\n- **`ctx_purge(confirm: true)`** — Permanently deletes all indexed content from the knowledge base. Use `/context-mode:ctx-purge` for this.\n\n<!-- File: skills/ctx-upgrade/SKILL.md (Tokens: ~303 | Category: anthropic-skill) -->\n---\nname: ctx-upgrade\ndescription: |\n  Update context-mode from GitHub and fix hooks/settings.\n  Pulls latest, builds, installs, updates npm global, configures hooks.\n  Trigger: /context-mode:ctx-upgrade\nuser-invocable: true\n---\n\n# Context Mode Upgrade\n\nPull latest from GitHub and reinstall the plugin.\n\n## Instructions\n\n1. Call the `ctx_upgrade` MCP tool directly. It returns a shell command to execute.\n2. Run the returned command using your shell execution tool (Bash, shell_execute, etc.).\n3. Display results as a markdown checklist:\n   ```\n   ## context-mode upgrade\n   - [x] Pulled latest from GitHub\n   - [x] Built and installed v1.0.39\n   - [x] Hooks configured\n   - [x] Doctor: all checks PASS\n   ```\n   Use `[x]` for success, `[ ]` for failure. Show actual version numbers.\n4. Tell the user to **restart their session** to pick up the new version.\n5. **Fallback** (only if MCP tool call fails): Derive the **plugin root** from this skill's base directory (go up 2 levels — remove `/skills/ctx-upgrade`), then run with Bash:\n   ```\n   CLI=\"<PLUGIN_ROOT>/cli.bundle.mjs\"; [ ! -f \"$CLI\" ] && CLI=\"<PLUGIN_ROOT>/build/cli.js\"; node \"$CLI\" upgrade\n   ```\n\n<!-- File: .agents/plugins/marketplace.json (Tokens: ~94 | Category: marketplace) -->\n{\n  \"name\": \"context-mode\",\n  \"interface\": {\n    \"displayName\": \"context-mode\"\n  },\n  \"plugins\": [\n    {\n      \"name\": \"context-mode\",\n      \"source\": {\n        \"source\": \"url\",\n        \"url\": \"./\"\n      },\n      \"policy\": {\n        \"installation\": \"AVAILABLE\",\n        \"authentication\": \"ON_INSTALL\"\n      },\n      \"category\": \"Productivity\"\n    }\n  ]\n}\n\n<!-- File: .claude-plugin/marketplace.json (Tokens: ~234 | Category: marketplace) -->\n{\n  \"name\": \"context-mode\",\n  \"owner\": {\n    \"name\": \"Mert Koseoğlu\",\n    \"email\": \"code.bm.ksglu@gmail.com\"\n  },\n  \"metadata\": {\n    \"description\": \"Claude Code plugins by Mert Koseoğlu\",\n    \"version\": \"1.0.169\"\n  },\n  \"plugins\": [\n    {\n      \"name\": \"context-mode\",\n      \"source\": \"./\",\n      \"description\": \"Claude Code MCP plugin that saves 98% of your context window. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and intent-driven search.\",\n      \"version\": \"1.0.169\",\n      \"author\": {\n        \"name\": \"Mert Koseoğlu\"\n      },\n      \"category\": \"development\",\n      \"keywords\": [\n        \"mcp\",\n        \"context-window\",\n        \"sandbox\",\n        \"code-execution\",\n        \"fts5\",\n        \"bm25\",\n        \"playwright\",\n        \"context7\"\n      ]\n    }\n  ]\n}\n\n<!-- File: .claude-plugin/plugin.json (Tokens: ~247 | Category: plugin-manifest) -->\n{\n  \"name\": \"context-mode\",\n  \"version\": \"1.0.169\",\n  \"description\": \"MCP server that saves 98% of your context window with session continuity. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and automatic state restore across compactions.\",\n  \"author\": {\n    \"name\": \"Mert Koseoğlu\",\n    \"url\": \"https://github.com/mksglu\"\n  },\n  \"homepage\": \"https://github.com/mksglu/context-mode#readme\",\n  \"repository\": \"https://github.com/mksglu/context-mode\",\n  \"license\": \"Elastic-2.0\",\n  \"keywords\": [\n    \"mcp\",\n    \"context-window\",\n    \"sandbox\",\n    \"code-execution\",\n    \"fts5\",\n    \"bm25\",\n    \"playwright\",\n    \"context7\"\n  ],\n  \"mcpServers\": {\n    \"context-mode\": {\n      \"command\": \"node\",\n      \"args\": [\n        \"${CLAUDE_PLUGIN_ROOT}/start.mjs\"\n      ]\n    }\n  },\n  \"skills\": \"./skills/\"\n}\n\n<!-- File: .codex-plugin/plugin.json (Tokens: ~288 | Category: plugin-manifest) -->\n{\n  \"name\": \"context-mode\",\n  \"version\": \"1.0.169\",\n  \"description\": \"MCP server that saves 98% of your context window with session continuity. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and automatic state restore across compactions.\",\n  \"author\": {\n    \"name\": \"Mert Koseoğlu\",\n    \"url\": \"https://github.com/mksglu\"\n  },\n  \"homepage\": \"https://github.com/mksglu/context-mode#readme\",\n  \"repository\": \"https://github.com/mksglu/context-mode\",\n  \"license\": \"Elastic-2.0\",\n  \"keywords\": [\n    \"mcp\",\n    \"context-window\",\n    \"sandbox\",\n    \"code-execution\",\n    \"fts5\",\n    \"bm25\",\n    \"playwright\",\n    \"context7\"\n  ],\n  \"mcpServers\": \"./.codex-plugin/mcp.json\",\n  \"hooks\": \"./.codex-plugin/hooks.json\",\n  \"skills\": \"./skills/\",\n  \"interface\": {\n    \"displayName\": \"context-mode\",\n    \"shortDescription\": \"98% context window savings via FTS5 + sandboxed execution\",\n    \"developerName\": \"Mert Koseoğlu\",\n    \"category\": \"Productivity\"\n  }\n}\n\n<!-- ... +5 more modular skills available via /api/skills/mksglu/context-mode?path={path} -->\n</yakaai_skills>"}