## File: README.md --- > ⚠️ **Community Project** — This is an independent, community-created project. Not affiliated with Anthropic PBC. > > 🔐 **Authorized & lawful use only.** This library includes offensive and dual-use techniques (e.g. red-team C2, phishing simulation, exploitation) intended for **authorized penetration testing, security research, defense, and education**. Only use them against systems you own or have **explicit written permission** to test, and comply with all applicable laws and rules of engagement. You are solely responsible for how you use these skills. See [SECURITY.md](SECURITY.md) and [CODE_OF_CONDUCT.md](CODE_OF_CONDUCT.md). ## Give any AI agent the security skills of a senior analyst A junior analyst knows which Volatility3 plugin to run on a suspicious memory dump, which Sigma rules catch Kerberoasting, and how to scope a cloud breach across three providers. **Your AI agent doesn't — unless you give it these skills.** This repo contains **817 structured cybersecurity skills** spanning **29 security domains**, each following the [agentskills.io](https://agentskills.io) open standard. The library maps across **six industry frameworks** — MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, MITRE D3FEND, NIST AI RMF, and the MITRE Fight Fraud Framework (F3) — with each skill mapped to the frameworks **relevant to its type** (a forensics skill carries ATT&CK + CSF; an AI-security skill adds ATLAS and AI RMF). Clone it, point your agent at it, and your next security investigation gets expert-level guidance in seconds. ## Six frameworks, one skill library Each skill maps to the frameworks that fit its subject — ATT&CK and NIST CSF are near-universal, while ATLAS, AI RMF, D3FEND, and F3 apply where they're relevant. **Framework coverage across the 817 skills:** MITRE ATT&CK **805** · NIST CSF 2.0 **804** · MITRE D3FEND **139** · NIST AI RMF **97** · MITRE F3 **94** · MITRE ATLAS **93**. | Framework | Version | Framework scope | What it maps | |---|---|---|---| | [MITRE ATT&CK](https://attack.mitre.org) | v19.1 | 15 tactics · Enterprise/Mobile/ICS | Adversary behaviors and TTPs | | [NIST CSF 2.0](https://www.nist.gov/cyberframework) | 2.0 | 6 functions · 22 categories · 106 subcategories | Organizational security posture | | [MITRE ATLAS](https://atlas.mitre.org) | 2026.07 | 101 techniques · 77 sub-techniques | AI/ML adversarial threats | | [MITRE D3FEND](https://d3fend.mitre.org) | v1.4.0 | 270 techniques | Defensive countermeasures | | [NIST AI RMF](https://airc.nist.gov/AI_RMF) | 1.0 | 4 functions (Govern/Map/Measure/Manage) | AI risk management | | [MITRE F3 (Fight Fraud Framework)](https://ctid.mitre.org/fraud/) | v1.1 (2026-04-09) | 8 tactics · 123 techniques · 94 fraud-relevant skills | Cyber-enabled financial fraud TTPs | **Example — each skill maps only to the frameworks relevant to it (one may hit all six, another just a couple):** | Skill | ATT&CK | NIST CSF | ATLAS | D3FEND | AI RMF | F3 | |---|---|---|---|---|---|---| | `analyzing-network-traffic-of-malware` | T1071 | DE.CM | AML.T0047 | D3-NTA | MEASURE-2.6 | — | | `detecting-business-email-compromise` | T1566 | DE.AE | — | — | — | F1005.006 · monetization | ### 🆕 MITRE Fight Fraud Framework (F3) — 94 fraud-relevant skills [](https://ctid.mitre.org/fraud/) The **[MITRE Fight Fraud Framework (F3)](https://ctid.mitre.org/fraud/)** was released **April 9, 2026** by MITRE's Center for Threat-Informed Defense (CTID), co-developed with JPMorganChase, Citigroup, Lloyds Banking Group, Standard Chartered, CrowdStrike, Verizon Business, FS-ISAC, and others. It is an ATT&CK-compatible TTP catalog for **cyber-enabled financial fraud** — filling the gap ATT&CK leaves after initial compromise. F3 v1.1 adds **two fraud-specific tactics** that ATT&CK does not enumerate: - **Positioning** (`FA0001`) — actions taken after access to collect/manipulate data and prepare the fraud (synthetic-identity seeding, account warming, beneficiary setup, SIM-swap pre-positioning, banking-session hijack). - **Monetization** (`FA0002`) — converting stolen assets into usable funds (money-mule layering, APP fraud, crypto off-ramping, card cash-out, refund/chargeback abuse). Fraud-specific techniques use `F1XXX` IDs (e.g. `F1005.003` Add Beneficiary, `F1025.003` Wire Transfer, `F1007` Adversary-in-the-Browser); reused ATT&CK techniques keep their `T1XXX` IDs. Mappings live in each skill's `mitre_f3:` frontmatter block — all 123 F3 v1.1 technique IDs were verified against the upstream STIX bundle. See [`docs/mitre-f3-mapping.md`](docs/mitre-f3-mapping.md) for the schema. ### MITRE ATT&CK v19.1 — 805/817 skills mapped Every skill carries a `mitre_attack` frontmatter list validated against **MITRE ATT&CK v19.1** (the latest release) using the official `mitreattack-python` library — 290 distinct techniques and sub-techniques (146 base + 144 sub) across Enterprise, ICS, and Mobile. Zero revoked or deprecated IDs. v19.1's restructured Defense Evasion (now split into **Stealth** and **Defense Impairment**) is reflected below. | Tactic | ID | Skills | |--------|----|--------| | Reconnaissance | TA0043 | 103 | | Resource Development | TA0042 | 22 | | Initial Access | TA0001 | 467 | | Execution | TA0002 | 350 | | Persistence | TA0003 | 444 | | Privilege Escalation | TA0004 | 464 | | Stealth | TA0005 | 442 | | Defense Impairment | TA0112 | 92 | | Credential Access | TA0006 | 202 | | Discovery | TA0007 | 237 | | Lateral Movement | TA0008 | 68 | | Collection | TA0009 | 172 | | Command and Control | TA0011 | 123 | | Exfiltration | TA0010 | 82 | | Impact | TA0040 | 50 | ## Quick start ```bash # Option 1: npx (recommended) npx skills add mukul975/Anthropic-Cybersecurity-Skills # Option 2: Git clone git clone https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git cd Anthropic-Cybersecurity-Skills ``` Works immediately with Claude Code, GitHub Copilot, OpenAI Codex CLI, Cursor, Gemini CLI, and any [agentskills.io](https://agentskills.io)-compatible platform. ## 🌍 GARS-2026 — Global Agentic AI Readiness Survey I'm running a global academic study measuring how ready security professionals, developers, and enterprise teams actually are for agentic AI — MCP servers, tool calling, governance, and human-in-the-loop workflows. **If you use this repo, your response would be a genuinely valuable data point.** 📋 **Take the survey (10 min):** [Survey Link](https://mahipal.engineer/survey?utm_source=github_repo&utm_medium=readme&utm_campaign=gars2026) - 60 questions · Anonymous · Supervised by SRH Berlin - You get **50 Casky Tokens** for early access to [casky.ai](https://casky.ai) - Results published open access under CC-BY 4.0 ## 🚀 Try it on the Playground Experience Casky.ai hands-on — no setup required. **[→ Launch Playground on Casky.ai](https://casky.ai/?utm_source=github&utm_medium=readme&utm_campaign=cohort_launch#waitlist)** The playground lets you: - Run live cybersecurity skill exercises against real targets - See AI agents execute structured skills in real time - Explore MITRE ATT&CK mapped workflows interactively - Test threat hunting, DFIR, and penetration testing scenarios No installation. No configuration. Just open and start. ## Why this exists The cybersecurity workforce gap hit **4.8 million unfilled roles** globally in 2024 (ISC2). AI agents can help close that gap — but only if they have structured domain knowledge to work from. Today's agents can write code and search the web, but they lack the practitioner playbooks that turn a generic LLM into a capable security analyst. Existing security tool repos give you wordlists, payloads, or exploit code. None of them give an AI agent the structured decision-making workflow a senior analyst follows: when to use each technique, what prerequisites to check, how to execute step-by-step, and how to verify results. That is the gap this project fills. **Anthropic Cybersecurity Skills** is not a collection of scripts or checklists. It is an **AI-native knowledge base** built from the ground up for the agentskills.io standard — YAML frontmatter for sub-second discovery, structured Markdown for step-by-step execution, and reference files for deep technical context. Every skill encodes real practitioner workflows, not generated summaries. ## What's inside — 29 security domains | Domain | Skills | Key capabilities | |---|---|---| | Cloud Security | 66 | AWS, Azure, GCP hardening · CSPM · cloud attack emulation · cloud forensics | | Threat Hunting | 58 | Hypothesis-driven hunts · LOTL detection · EVTX hunting · fleet hunting | | Threat Intelligence | 52 | STIX/TAXII · MISP · OpenCTI · feed integration · actor profiling | | Network Security | 43 | IDS/IPS · firewall rules · VLAN segmentation · traffic analysis | | Web Application Security | 42 | OWASP Top 10 · SQLi · XSS · SSRF · deserialization | | Digital Forensics | 41 | Disk imaging · memory forensics · Hayabusa/KAPE/Plaso timelines | | Malware Analysis | 39 | Static/dynamic analysis · reverse engineering · sandboxing | | Identity & Access Management | 37 | Entra ID/ROADtools · device-code phishing · PAM · zero trust identity | | SOC Operations | 35 | Playbooks · escalation workflows · Graph-log detection · tabletop exercises | | Red Teaming | 33 | ADCS/Certipy · BloodHound CE · Sliver/Havoc C2 · NTLM relay | | Container Security | 33 | K8s RBAC · image scanning · Falco · container escape | | Security Operations | 28 | SIEM correlation · log analysis · alert triage | | OT/ICS Security | 28 | Modbus · DNP3 · IEC 62443 · historian defense · SCADA | | API Security | 28 | GraphQL · REST · OWASP API Top 10 · WAF bypass | | Incident Response | 26 | Breach containment · ransomware response · IR playbooks | | Vulnerability Management | 25 | Nessus · scanning workflows · patch prioritization · CVSS | | Penetration Testing | 21 | Network · web · cloud · mobile · NetExec lateral movement | | DevSecOps | 18 | CI/CD security · Trivy IaC/image scanning · code signing | | Zero Trust Architecture | 17 | BeyondCorp · CISA maturity model · microsegmentation | | Endpoint Security | 17 | EDR · LOTL detection · fileless malware · persistence hunting | | Cryptography | 16 | TLS · Ed25519 · post-quantum migration · key management | | Phishing Defense | 15 | Email authentication · BEC detection · phishing IR | | AI Security | 14 | LLM red-teaming (garak/PyRIT) · prompt injection · MCP/agentic security · guardrails | | Mobile Security | 13 | Android/iOS analysis · mobile pentesting · MDM forensics | | Ransomware Defense | 13 | Precursor detection · response · recovery · encryption analysis | | Compliance & Governance | 9 | NIST 800-30/RMF · CMMC · HIPAA · TPRM · CIS benchmarks | | Supply Chain Security | 8 | SBOMs · dependency confusion · malicious-package triage · SLSA/Sigstore | | Deception Technology | 6 | Honeytokens · canarytokens · breach detection | | Hardware & Firmware Security | 4 | CHIPSEC/UEFI audit · Secure Boot bypass · TPM attestation · bootkit hunting | ## How AI agents use these skills Each skill costs **~30 tokens to scan** (frontmatter only) and **500–2,000 tokens to fully load** (complete workflow). This progressive disclosure architecture lets agents search all 817 skills in a single pass without blowing context windows. ``` User prompt: "Analyze this memory dump for signs of credential theft" Agent's internal process: 1. Scans 817 skill frontmatters (~30 tokens each) → identifies 12 relevant skills by matching tags, description, domain 2. Loads top 3 matches: • performing-memory-forensics-with-volatility3 • hunting-for-credential-dumping-lsass • analyzing-windows-event-logs-for-credential-access 3. Executes the structured Workflow section step-by-step → runs Volatility3 plugins, checks LSASS access patterns, correlates with event log evidence 4. Validates results using the Verification section → confirms IOCs, maps findings to ATT&CK T1003 (Credential Dumping) ``` **Without these skills**, the agent guesses at tool commands and misses critical steps. **With them**, it follows the same playbook a senior DFIR analyst would use. ## Skill anatomy Every skill follows a consistent directory structure: ``` skills/performing-memory-forensics-with-volatility3/ ├── SKILL.md ← Skill definition (YAML frontmatter + Markdown body) ├── references/ │ ├── standards.md ← MITRE ATT&CK, ATLAS, D3FEND, NIST mappings │ └── workflows.md ← Deep technical procedure reference ├── scripts/ │ └── process.py ← Working helper scripts └── assets/ └── template.md ← Filled-in checklists and report templates ``` ### YAML frontmatter (real example) ```yaml --- name: performing-memory-forensics-with-volatility3 Analyze memory dumps to extract running processes, network connections, injected code, and malware artifacts using the Volatility3 framework. domain: cybersecurity subdomain: digital-forensics tags: [forensics, memory-analysis, volatility3, incident-response, dfir] atlas_techniques: [AML.T0047] d3fend_techniques: [D3-MA, D3-PSMD] nist_ai_rmf: [MEASURE-2.6] nist_csf: [DE.CM-01, RS.AN-03] version: "1.2" author: mukul975 license: Apache-2.0 --- ``` ### Markdown body sections ```markdown ## When to Use Trigger conditions — when should an AI agent activate this skill? ## Prerequisites Required tools, access levels, and environment setup. ## Workflow Step-by-step execution guide with specific commands and decision points. ## Verification How to confirm the skill was executed successfully. ``` Frontmatter fields: `name` (kebab-case, 1–64 chars), `description` (keyword-rich for agent discovery), `domain`, `subdomain`, `tags`, `atlas_techniques` (MITRE ATLAS IDs), `d3fend_techniques` (MITRE D3FEND IDs), `nist_ai_rmf` (NIST AI RMF references), `nist_csf` (NIST CSF 2.0 categories). MITRE ATT&CK technique mappings are documented in each skill's `references/standards.md` file and in the ATT&CK Navigator layer included with releases. **📊 MITRE ATT&CK Enterprise coverage — all 15 tactics**   | Tactic | ID | Coverage | Key skills | |---|---|---|---| | Reconnaissance | TA0043 | Strong | OSINT, subdomain enumeration, DNS recon | | Resource Development | TA0042 | Moderate | Phishing infrastructure, C2 setup detection | | Initial Access | TA0001 | Strong | Phishing simulation, exploit detection, forced browsing | | Execution | TA0002 | Strong | PowerShell analysis, fileless malware, script block logging | | Persistence | TA0003 | Strong | Scheduled tasks, registry, service accounts, LOTL | | Privilege Escalation | TA0004 | Strong | Kerberoasting, AD attacks, cloud privilege escalation | | Stealth | TA0005 | Strong | Obfuscation, rootkit analysis, evasion detection | | Defense Impairment | TA0112 | Moderate | Impair Defenses (T1562), log/indicator removal, EDR tampering | | Credential Access | TA0006 | Strong | Mimikatz detection, pass-the-hash, credential dumping | | Discovery | TA0007 | Moderate | BloodHound, AD enumeration, network scanning | | Lateral Movement | TA0008 | Strong | SMB exploits, lateral movement detection with Splunk | | Collection | TA0009 | Moderate | Email forensics, data staging detection | | Command and Control | TA0011 | Strong | C2 beaconing, DNS tunneling, Cobalt Strike analysis | | Exfiltration | TA0010 | Strong | DNS exfiltration, DLP controls, data loss detection | | Impact | TA0040 | Strong | Ransomware defense, encryption analysis, recovery | An **ATT&CK Navigator layer file** is included in the [v1.0.0 release assets](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/releases/tag/v1.0.0) for visual coverage mapping. > **Note:** ATT&CK v19 lands April 28, 2026 — splitting Defense Evasion (TA0005) into two new tactics: *Stealth* and *Impair Defenses*. Skill mappings will be updated in a forthcoming release. **📊 NIST CSF 2.0 alignment — all 6 functions**   | Function | Skills | Examples | |---|---|---| | **Govern (GV)** | 30+ | Risk strategy, policy frameworks, roles & responsibilities | | **Identify (ID)** | 120+ | Asset discovery, threat landscape assessment, risk analysis | | **Protect (PR)** | 150+ | IAM hardening, WAF rules, zero trust, encryption | | **Detect (DE)** | 200+ | Threat hunting, SIEM correlation, anomaly detection | | **Respond (RS)** | 160+ | Incident response, forensics, breach containment | | **Recover (RC)** | 40+ | Ransomware recovery, BCP, disaster recovery | NIST CSF 2.0 (February 2024) added the **Govern** function and expanded scope from critical infrastructure to all organizations. Skill mappings align to all 22 categories and reference 106 subcategories. **📊 Framework deep dive — ATLAS, D3FEND, AI RMF**   ### MITRE ATLAS 2026.07 — AI/ML adversarial threats ATLAS maps adversarial tactics, techniques, and case studies specific to AI and machine learning systems. Release 2026.07 covers **101 techniques and 77 sub-techniques** including agentic AI attack vectors added in late 2025: AI agent context poisoning, tool invocation abuse, MCP server compromises, and malicious agent deployment. Skills mapped to ATLAS help agents identify and defend against threats to ML pipelines, model weights, inference APIs, and autonomous workflows. ### MITRE D3FEND v1.4.0 — Defensive countermeasures D3FEND is an NSA-funded knowledge graph of **270 defensive techniques** organized across 7 tactical categories: Model, Harden, Detect, Isolate, Deceive, Evict, and Restore. Built on OWL 2 ontology, it uses a shared Digital Artifact layer to bidirectionally map defensive countermeasures to ATT&CK offensive techniques. Skills tagged with D3FEND identifiers let agents recommend specific countermeasures for detected threats. ### NIST AI RMF 1.0 + GenAI Profile (AI 600-1) The AI Risk Management Framework defines 4 core functions — Govern, Map, Measure, Manage — with **72 subcategories** for trustworthy AI development. The GenAI Profile (AI 600-1, July 2024) adds **12 risk categories** specific to generative AI, from confabulation and data privacy to prompt injection and supply chain risks. Colorado's AI Act (effective February 2026) provides a **legal safe harbor** for organizations complying with NIST AI RMF, making these mappings directly relevant to regulatory compliance. ## Compatible platforms **AI code assistants** Claude Code (Anthropic) · GitHub Copilot (Microsoft) · Cursor · Windsurf · Cline · Aider · Continue · Roo Code · Amazon Q Developer · Tabnine · Sourcegraph Cody · JetBrains AI **CLI agents** OpenAI Codex CLI · Gemini CLI (Google) **Autonomous agents** Devin · Replit Agent · SWE-agent · OpenHands **Agent frameworks & SDKs** LangChain · CrewAI · AutoGen · Semantic Kernel · Haystack · Vercel AI SDK · Any MCP-compatible agent All platforms that support the [agentskills.io](https://agentskills.io) standard can load these skills with zero configuration. ## What people are saying > *"A database of real, organized security skills that any AI agent can plug into and use. Not tutorials. Not blog posts."* > — **[Hasan Toor (@hasantoxr)](https://x.com/hasantoxr/status/2033193922349179249)**, AI/tech creator > *"This is not a random collection of security scripts. It's a structured operational knowledge base designed for AI-driven security workflows."* > — **[fazal-sec](https://fazal-sec.medium.com/claude-skills-ai-powered-cybersecurity-the-complete-guide-to-building-intelligent-security-7bb7e9d14c8e)**, Medium ## Featured in | Where | Type | Link | |---|---|---| | **awesome-agent-skills** | Awesome List (1,000+ skills index) | [VoltAgent/awesome-agent-skills](https://github.com/VoltAgent/awesome-agent-skills) | | **awesome-ai-security** | Awesome List (AI security tools) | [ottosulin/awesome-ai-security](https://github.com/ottosulin/awesome-ai-security) | | **awesome-codex-cli** | Awesome List (Codex CLI resources) | [RoggeOhta/awesome-codex-cli](https://github.com/RoggeOhta/awesome-codex-cli) | | **SkillsLLM** | Skills directory & marketplace | [skillsllm.com/skill/anthropic-cybersecurity-skills](https://skillsllm.com/skill/anthropic-cybersecurity-skills) | | **Openflows** | Signal analysis & tracking | [openflows.org](https://openflows.org/currency/currents/anthropic-cybersecurity-skills/) | | **NeverSight skills_feed** | Automated skills index | [NeverSight/skills_feed](https://github.com/NeverSight/skills_feed) | ## Star history ## Releases | Version | Date | Highlights | |---|---|---| | [v1.0.0](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/releases/tag/v1.0.0) | March 11, 2026 | 734 skills · 26 domains · MITRE ATT&CK + NIST CSF 2.0 mapping · ATT&CK Navigator layer | Skills have continued to grow on `main` since v1.0.0 — the library now contains **817 skills** with **6-framework mapping** (MITRE ATLAS, D3FEND, NIST AI RMF, and the MITRE Fight Fraud Framework added post-release). Check [Releases](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/releases) for the latest tagged version. ## Contributing This project grows through community contributions. Here is how to get involved: **Add a new skill** — Domains like Deception Technology (2 skills) and Compliance & Governance (5 skills) need the most help. Follow the template in [CONTRIBUTING.md](CONTRIBUTING.md) and submit a PR with the title `Add skill: your-skill-name`. **Improve existing skills** — Add framework mappings, fix workflows, update tool references, or contribute scripts and templates. **Report issues** — Found an inaccurate procedure or broken script? [Open an issue](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/issues). Every PR is reviewed for technical accuracy and agentskills.io standard compliance within 48 hours. Check [good first issues](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22) for a starting point. This project follows the [Contributor Covenant](https://www.contributor-covenant.org/). By participating, you agree to uphold this code. ## 🙏 Thanks to our contributors This library is built by the community. Thank you to everyone who has contributed: ## Community 💬 [Discussions](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/discussions) — Questions, ideas, and roadmap conversations 🐛 [Issues](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/issues) — Bug reports and feature requests 🔒 [Security Policy](SECURITY.md) — Responsible disclosure process (48-hour acknowledgment) ## Citation If you use this project in research or publications: ```bibtex @software{anthropic_cybersecurity_skills, author = {Jangra, Mahipal}, title = {Anthropic Cybersecurity Skills}, year = {2026}, url = {https://github.com/mukul975/Anthropic-Cybersecurity-Skills}, license = {Apache-2.0}, note = {817 structured cybersecurity skills for AI agents, mapped to MITRE ATT\&CK, NIST CSF 2.0, MITRE ATLAS, MITRE D3FEND, and NIST AI RMF} } ``` ## License This project is licensed under the [Apache License 2.0](LICENSE). You are free to use, modify, and distribute these skills in both personal and commercial projects. --- --- ## File: mappings/mitre-attack/README.md # MITRE ATT&CK Mapping This directory maps the cybersecurity skills in this repository to the [MITRE ATT&CK](https://attack.mitre.org/) framework (Enterprise v15). ## Overview MITRE ATT&CK is a curated knowledge base and model for cyber adversary behavior, reflecting the various phases of an adversary's lifecycle and the platforms they target. This mapping connects our hands-on skills to ATT&CK tactics and techniques, enabling: - **Threat-informed defense** -- prioritize skill development based on real adversary behavior - **Gap analysis** -- identify ATT&CK techniques not yet covered by available skills - **Purple team exercises** -- pair offensive (red team) and defensive (blue team) skills for each technique - **Agent-driven discovery** -- AI agents can query skills by ATT&CK ID for automated security workflows ## Mapping Methodology ### Tactic Mapping (TA00xx) Each of the 14 ATT&CK Enterprise tactics represents a distinct adversary objective. Skills are mapped to tactics based on which adversary goal they help achieve (offensive) or defend against (defensive): | Tactic | ID | Offensive Skills | Defensive Skills | |--------|-----|-----------------|------------------| | Reconnaissance | TA0043 | penetration-testing, red-teaming | threat-intelligence, phishing-defense | | Resource Development | TA0042 | red-teaming | threat-intelligence | | Initial Access | TA0001 | web-application-security, penetration-testing | phishing-defense, endpoint-security | | Execution | TA0002 | penetration-testing, red-teaming | malware-analysis, endpoint-security, soc-operations | | Persistence | TA0003 | red-teaming, penetration-testing | threat-hunting, digital-forensics, endpoint-security | | Privilege Escalation | TA0004 | penetration-testing, red-teaming | endpoint-security, identity-access-management | | Defense Evasion | TA0005 | red-teaming | malware-analysis, endpoint-security, threat-hunting | | Credential Access | TA0006 | penetration-testing, red-teaming | identity-access-management, soc-operations | | Discovery | TA0007 | penetration-testing, red-teaming | threat-hunting, network-security | | Lateral Movement | TA0008 | red-teaming, penetration-testing | network-security, threat-hunting, soc-operations | | Collection | TA0009 | red-teaming | digital-forensics, threat-hunting | | Command and Control | TA0011 | red-teaming | threat-intelligence, network-security, soc-operations | | Exfiltration | TA0010 | red-teaming | threat-hunting, digital-forensics, network-security | | Impact | TA0040 | red-teaming | ransomware-defense, incident-response | ### Technique Mapping (T1xxx) Skills are mapped to specific techniques based on their content. Examples: | Technique | ID | Example Skills | |-----------|-----|---------------| | Phishing | T1566 | analyzing-phishing-email-headers, analyzing-certificate-transparency-for-phishing | | Exploit Public-Facing Application | T1190 | web-application-security skills (SQL injection, XSS, SSRF) | | OS Credential Dumping | T1003 | penetration-testing credential harvesting skills | | PowerShell | T1059.001 | analyzing-windows-event-logs-in-splunk, malware-analysis skills | | Remote Services | T1021 | network-security lateral movement skills | | Data Encrypted for Impact | T1486 | analyzing-ransomware-encryption-mechanisms | | Command and Scripting Interpreter | T1059 | malware-analysis script deobfuscation skills | | Scheduled Task/Job | T1053 | analyzing-malware-persistence-with-autoruns | | Registry Run Keys | T1547.001 | analyzing-windows-registry-for-artifacts | | DLL Side-Loading | T1574.002 | analyzing-bootkit-and-rootkit-samples | ### Sub-technique Mapping (T1xxx.xxx) Where applicable, skills are mapped to sub-techniques for precision. For example: - `T1566.001` (Spearphishing Attachment) -- analyzing-email-headers-for-phishing-investigation - `T1566.002` (Spearphishing Link) -- analyzing-certificate-transparency-for-phishing - `T1003.001` (LSASS Memory) -- analyzing-memory-dumps-with-volatility ## ATT&CK Navigator Integration You can visualize our skill coverage using the [ATT&CK Navigator](https://mitre-attack.github.io/attack-navigator/). To generate a Navigator layer: 1. Use the coverage summary in [`coverage-summary.md`](coverage-summary.md) to identify covered tactics 2. Import the tactic/technique IDs into a Navigator layer JSON 3. Color-code by coverage depth (number of skills per technique) ### Suggested Color Scale | Coverage | Color | Meaning | |----------|-------|---------| | 0 skills | White | No coverage -- gap | | 1-2 skills | Light blue | Basic coverage | | 3-5 skills | Medium blue | Moderate coverage | | 6+ skills | Dark blue | Strong coverage | ## Skill Tag Convention Skills relevant to ATT&CK carry these tags in their YAML frontmatter: - `mitre-attack` -- general ATT&CK relevance (56 skills currently tagged) - Technique-specific tags like `privilege-escalation`, `lateral-movement`, `persistence` - Tool-specific tags that map to ATT&CK software entries (e.g., `cobalt-strike`, `mimikatz`) ## How to Contribute Mappings 1. **Identify the skill** -- Read the skill's SKILL.md to understand what it teaches 2. **Find the ATT&CK technique** -- Search [attack.mitre.org](https://attack.mitre.org/) for the matching technique 3. **Determine offensive vs. defensive** -- Is the skill about performing or detecting/preventing the technique? 4. **Update the mapping** -- Add the technique ID to the appropriate table in this directory 5. **Update skill tags** -- Add `mitre-attack` and technique-specific tags to the skill's frontmatter 6. **Submit a PR** -- Include the ATT&CK technique URL as justification ## References - [MITRE ATT&CK Enterprise Matrix](https://attack.mitre.org/matrices/enterprise/) - [MITRE ATT&CK Navigator](https://mitre-attack.github.io/attack-navigator/) - [ATT&CK v15 Release Notes](https://attack.mitre.org/resources/updates/) - [MITRE ATT&CK for ICS](https://attack.mitre.org/matrices/ics/) -- relevant for ot-ics-security skills - [MITRE ATT&CK for Mobile](https://attack.mitre.org/matrices/mobile/) -- relevant for mobile-security skills --- ## File: mappings/nist-csf/README.md # NIST Cybersecurity Framework 2.0 Mapping This directory maps the cybersecurity skills in this repository to the [NIST Cybersecurity Framework (CSF) 2.0](https://www.nist.gov/cyberframework), published February 2024. ## Overview NIST CSF 2.0 organizes cybersecurity activities into 6 core functions that represent the full lifecycle of managing cybersecurity risk. This mapping enables organizations to: - **Align skill development** to their CSF implementation tier - **Identify training gaps** across the CSF functions - **Build role-based learning paths** using CSF categories - **Automate compliance mapping** through AI agent queries ## CSF 2.0 Functions and Skill Alignment ### Govern (GV) -- Cybersecurity Risk Management Strategy Establishing and monitoring the organization's cybersecurity risk management strategy, expectations, and policy. | Category | ID | Mapped Subdomains | Skills | |----------|-----|-------------------|--------| | Organizational Context | GV.OC | compliance-governance | 5 | | Risk Management Strategy | GV.RM | compliance-governance, vulnerability-management | 29 | | Roles, Responsibilities, and Authorities | GV.RR | compliance-governance, identity-access-management | 38 | | Policy | GV.PO | compliance-governance, zero-trust-architecture | 18 | | Oversight | GV.OV | compliance-governance, soc-operations | 38 | | Cybersecurity Supply Chain Risk Management | GV.SC | devsecops, container-security | 42 | **Primary subdomains:** compliance-governance (5), identity-access-management (33), devsecops (16) ### Identify (ID) -- Understanding Organizational Cybersecurity Risk Understanding the organization's current cybersecurity risks. | Category | ID | Mapped Subdomains | Skills | |----------|-----|-------------------|--------| | Asset Management | ID.AM | cloud-security, container-security, network-security | 107 | | Risk Assessment | ID.RA | vulnerability-management, threat-intelligence | 67 | | Improvement | ID.IM | soc-operations, compliance-governance | 38 | **Primary subdomains:** vulnerability-management (24), threat-intelligence (43), cloud-security (48) ### Protect (PR) -- Safeguarding Assets Using safeguards to prevent or reduce cybersecurity risk. | Category | ID | Mapped Subdomains | Skills | |----------|-----|-------------------|--------| | Identity Management, Authentication, and Access Control | PR.AA | identity-access-management, zero-trust-architecture | 46 | | Awareness and Training | PR.AT | phishing-defense, compliance-governance | 21 | | Data Security | PR.DS | cryptography, cloud-security, api-security | 89 | | Platform Security | PR.PS | endpoint-security, container-security, devsecops | 58 | | Technology Infrastructure Resilience | PR.IR | network-security, zero-trust-architecture | 46 | **Primary subdomains:** zero-trust-architecture (13), devsecops (16), identity-access-management (33), cryptography (13) ### Detect (DE) -- Finding and Analyzing Cybersecurity Events Finding and analyzing possible cybersecurity compromises and anomalies. | Category | ID | Mapped Subdomains | Skills | |----------|-----|-------------------|--------| | Continuous Monitoring | DE.CM | soc-operations, threat-hunting, network-security | 101 | | Adverse Event Analysis | DE.AE | threat-hunting, malware-analysis, soc-operations | 102 | **Primary subdomains:** threat-hunting (35), soc-operations (33), malware-analysis (34) ### Respond (RS) -- Taking Action Regarding Detected Incidents Managing and responding to detected cybersecurity incidents. | Category | ID | Mapped Subdomains | Skills | |----------|-----|-------------------|--------| | Incident Management | RS.MA | incident-response, soc-operations | 57 | | Incident Analysis | RS.AN | digital-forensics, malware-analysis, threat-intelligence | 111 | | Incident Response Reporting and Communication | RS.CO | incident-response, compliance-governance | 29 | | Incident Mitigation | RS.MI | incident-response, endpoint-security, network-security | 73 | **Primary subdomains:** incident-response (24), digital-forensics (34), malware-analysis (34) ### Recover (RC) -- Restoring Capabilities After an Incident Restoring assets and operations affected by a cybersecurity incident. | Category | ID | Mapped Subdomains | Skills | |----------|-----|-------------------|--------| | Incident Recovery Plan Execution | RC.RP | incident-response, ransomware-defense | 29 | | Incident Recovery Communication | RC.CO | incident-response, compliance-governance | 29 | **Primary subdomains:** incident-response (24), ransomware-defense (5) ## Function Coverage Distribution ``` Govern (GV): ████████████░░░░░░░░ ~54 skills (compliance, IAM, devsecops) Identify (ID): ██████████████████░░ ~115 skills (vuln-mgmt, threat-intel, cloud) Protect (PR): ████████████████████ ~160 skills (IAM, ZTA, devsecops, crypto) Detect (DE): ████████████████░░░░ ~102 skills (threat-hunting, SOC, malware) Respond (RS): ██████████████████░░ ~111 skills (IR, forensics, malware) Recover (RC): ████░░░░░░░░░░░░░░░░ ~29 skills (IR recovery, ransomware) ``` ## How to Use This Mapping ### For Organizations 1. Determine your target CSF implementation tier (Partial, Risk Informed, Repeatable, Adaptive) 2. Identify your CSF function priorities 3. Use the category tables above to find relevant skill subdomains 4. Deploy skills from those subdomains to your team's training plan ### For AI Agents Query skills by CSF function using subdomain filters: ``` # Find all Detect (DE) function skills Filter: subdomain IN (threat-hunting, soc-operations, malware-analysis) # Find all Protect (PR) function skills Filter: subdomain IN (identity-access-management, zero-trust-architecture, devsecops, cryptography) ``` ### For Security Teams Use the alignment table in [`csf-alignment.md`](csf-alignment.md) for a complete subdomain-to-category cross-reference. ## References - [NIST CSF 2.0 (February 2024)](https://www.nist.gov/cyberframework) - [NIST SP 800-53 Rev. 5 Control Mapping](https://csrc.nist.gov/publications/detail/sp/800-53/rev-5/final) - [CSF 2.0 Quick Start Guides](https://www.nist.gov/cyberframework/getting-started) - [CSF 2.0 Reference Tool](https://csrc.nist.gov/Projects/Cybersecurity-Framework/Filters) --- ## File: mappings/owasp/README.md # OWASP Top 10 (2025) Mapping This directory maps the cybersecurity skills in this repository to the [OWASP Top 10](https://owasp.org/www-project-top-ten/) categories for web application security risks. ## Overview The OWASP Top 10 represents the most critical security risks to web applications. This mapping connects hands-on skills to each risk category, enabling teams to build targeted training programs for secure development and application security testing. ## OWASP Top 10 2025 Skill Mapping ### A01:2025 -- Broken Access Control Restrictions on what authenticated users are allowed to do are not properly enforced. | Relevant Subdomains | Skills | Key Topics | |---------------------|--------|------------| | web-application-security | 41 | IDOR, privilege escalation, path traversal, CORS misconfiguration | | identity-access-management | 33 | RBAC, ABAC, session management, OAuth/OIDC flaws | | api-security | 28 | Broken object level authorization (BOLA), function level authorization | | zero-trust-architecture | 13 | Least privilege enforcement, microsegmentation | **Example skills:** Implementing RBAC, testing for IDOR vulnerabilities, configuring OAuth 2.0 securely, enforcing API authorization policies. ### A02:2025 -- Cryptographic Failures Failures related to cryptography that lead to exposure of sensitive data. | Relevant Subdomains | Skills | Key Topics | |---------------------|--------|------------| | cryptography | 13 | TLS configuration, key management, hashing, encryption at rest | | web-application-security | 41 | HTTPS enforcement, cookie security flags, certificate validation | | cloud-security | 48 | KMS configuration, secrets management, encryption in transit | | api-security | 28 | API transport security, token encryption | **Example skills:** Configuring TLS 1.3, implementing envelope encryption with KMS, securing JWT tokens, certificate pinning. ### A03:2025 -- Injection User-supplied data is sent to an interpreter as part of a command or query without proper validation. | Relevant Subdomains | Skills | Key Topics | |---------------------|--------|------------| | web-application-security | 41 | SQL injection, XSS, command injection, LDAP injection | | api-security | 28 | GraphQL injection, NoSQL injection, header injection | | devsecops | 16 | SAST/DAST scanning, input validation, parameterized queries | | penetration-testing | 23 | Injection testing, payload crafting, WAF bypass | **Example skills:** Exploiting and remediating SQL injection, testing for stored/reflected XSS, configuring parameterized queries, SAST pipeline integration. ### A04:2025 -- Insecure Design Risks related to design and architectural flaws, calling for more use of threat modeling and secure design patterns. | Relevant Subdomains | Skills | Key Topics | |---------------------|--------|------------| | devsecops | 16 | Threat modeling, secure SDLC, security requirements | | zero-trust-architecture | 13 | Zero trust design principles, defense in depth | | compliance-governance | 5 | Security architecture review, risk assessment frameworks | | web-application-security | 41 | Business logic flaws, trust boundary definition | **Example skills:** Conducting threat modeling with STRIDE, implementing secure design patterns, defining trust boundaries, security architecture review. ### A05:2025 -- Security Misconfiguration Missing or incorrect security hardening across the application stack. | Relevant Subdomains | Skills | Key Topics | |---------------------|--------|------------| | cloud-security | 48 | Cloud service misconfiguration, IAM policy errors, S3 bucket exposure | | container-security | 26 | Container hardening, Kubernetes RBAC, pod security policies | | network-security | 33 | Firewall rules, segmentation errors, default credentials | | endpoint-security | 16 | OS hardening, unnecessary services, default configurations | **Example skills:** Auditing AWS S3 bucket permissions, hardening Kubernetes clusters, configuring security headers, CIS benchmark compliance. ### A06:2025 -- Vulnerable and Outdated Components Using components with known vulnerabilities or that are no longer maintained. | Relevant Subdomains | Skills | Key Topics | |---------------------|--------|------------| | vulnerability-management | 24 | CVE tracking, vulnerability scanning, patch management | | devsecops | 16 | SCA scanning, dependency management, SBOM generation | | container-security | 26 | Image scanning, base image updates, registry security | | web-application-security | 41 | Third-party library vulnerabilities, framework updates | **Example skills:** Running Trivy container scans, implementing SCA in CI/CD, generating and analyzing SBOMs, CVE prioritization with CVSS/EPSS. ### A07:2025 -- Identification and Authentication Failures Weaknesses in authentication and session management. | Relevant Subdomains | Skills | Key Topics | |---------------------|--------|------------| | identity-access-management | 33 | MFA implementation, password policies, session fixation | | web-application-security | 41 | Credential stuffing defense, brute force protection | | api-security | 28 | API key management, OAuth token handling, JWT validation | | phishing-defense | 16 | Credential phishing prevention, anti-phishing controls | **Example skills:** Implementing FIDO2/WebAuthn, configuring adaptive MFA, securing API authentication, detecting credential stuffing attacks. ### A08:2025 -- Software and Data Integrity Failures Failures related to code and infrastructure that do not protect against integrity violations. | Relevant Subdomains | Skills | Key Topics | |---------------------|--------|------------| | devsecops | 16 | CI/CD pipeline security, code signing, artifact integrity | | container-security | 26 | Image signing, admission control, supply chain verification | | cryptography | 13 | Digital signatures, integrity hashing, code signing certificates | | vulnerability-management | 24 | Supply chain risk, dependency integrity verification | **Example skills:** Implementing Sigstore for container signing, securing CI/CD pipelines, verifying software supply chain integrity, content trust enforcement. ### A09:2025 -- Security Logging and Monitoring Failures Insufficient logging, detection, monitoring, and active response. | Relevant Subdomains | Skills | Key Topics | |---------------------|--------|------------| | soc-operations | 33 | SIEM configuration, log aggregation, alert tuning | | threat-hunting | 35 | Log analysis, detection engineering, hypothesis-driven hunting | | incident-response | 24 | Incident detection, log-based investigation, response automation | | network-security | 33 | Network monitoring, flow analysis, IDS/IPS tuning | **Example skills:** Analyzing security logs with Splunk, writing Sigma detection rules, configuring SIEM correlation rules, implementing centralized logging. ### A10:2025 -- Server-Side Request Forgery (SSRF) Fetching a remote resource without validating the user-supplied URL. | Relevant Subdomains | Skills | Key Topics | |---------------------|--------|------------| | web-application-security | 41 | SSRF exploitation, URL validation, allowlisting | | cloud-security | 48 | IMDS exploitation, cloud metadata access, VPC endpoint security | | api-security | 28 | API-to-API SSRF, webhook validation | | penetration-testing | 23 | SSRF detection and exploitation techniques | **Example skills:** Testing for SSRF vulnerabilities, securing cloud metadata endpoints (IMDSv2), implementing URL validation and allowlisting, detecting SSRF in API integrations. ## Cross-Reference: OWASP to ATT&CK | OWASP Category | Related ATT&CK Techniques | |---------------|--------------------------| | A01: Broken Access Control | T1078 (Valid Accounts), T1548 (Abuse Elevation Control) | | A02: Cryptographic Failures | T1557 (Adversary-in-the-Middle), T1040 (Network Sniffing) | | A03: Injection | T1190 (Exploit Public-Facing App), T1059 (Command and Scripting) | | A04: Insecure Design | T1195 (Supply Chain Compromise), cross-cutting | | A05: Security Misconfiguration | T1574 (Hijack Execution Flow), T1190 | | A06: Vulnerable Components | T1190 (Exploit Public-Facing App), T1195 | | A07: Authentication Failures | T1110 (Brute Force), T1539 (Steal Web Session Cookie) | | A08: Integrity Failures | T1195 (Supply Chain Compromise), T1554 (Compromise Client Software) | | A09: Logging Failures | T1070 (Indicator Removal), T1562 (Impair Defenses) | | A10: SSRF | T1190 (Exploit Public-Facing App) | ## Cross-Reference: OWASP to NIST CSF 2.0 | OWASP Category | NIST CSF Functions | CSF Categories | |---------------|-------------------|----------------| | A01: Broken Access Control | Protect | PR.AA | | A02: Cryptographic Failures | Protect | PR.DS | | A03: Injection | Protect, Detect | PR.DS, DE.AE | | A04: Insecure Design | Govern, Protect | GV.RM, PR.PS | | A05: Security Misconfiguration | Protect | PR.PS, PR.IR | | A06: Vulnerable Components | Identify, Govern | ID.RA, GV.SC | | A07: Authentication Failures | Protect | PR.AA | | A08: Integrity Failures | Protect, Govern | PR.DS, GV.SC | | A09: Logging Failures | Detect | DE.CM, DE.AE | | A10: SSRF | Protect, Detect | PR.DS, DE.AE | ## References - [OWASP Top 10 Project](https://owasp.org/www-project-top-ten/) - [OWASP API Security Top 10](https://owasp.org/API-Security/) -- relevant for api-security subdomain - [OWASP Mobile Top 10](https://owasp.org/www-project-mobile-top-10/) -- relevant for mobile-security subdomain - [OWASP Testing Guide](https://owasp.org/www-project-web-security-testing-guide/) - [OWASP ASVS](https://owasp.org/www-project-application-security-verification-standard/) -- Application Security Verification Standard --- ## File: mappings/README.md # MITRE ATT&CK Navigator Layer - Anthropic Cybersecurity Skills This directory contains a MITRE ATT&CK Navigator layer file that maps the coverage of the Anthropic Cybersecurity Skills repository against the ATT&CK Enterprise matrix. ## Files | File | Description | |------|-------------| | `attack-navigator-layer.json` | ATT&CK Navigator layer (v4.5 format, Enterprise ATT&CK v14) | ## How to View 1. Open the [MITRE ATT&CK Navigator](https://mitre-attack.github.io/attack-navigator/) 2. Click **Open Existing Layer** 3. Select **Upload from local** and choose `attack-navigator-layer.json` 4. The matrix will display with blue-shaded techniques indicating coverage Alternatively, paste the raw JSON URL into the Navigator's "Load from URL" option if this file is hosted publicly. ## Coverage Statistics | Metric | Value | |--------|-------| | Total skills scanned | 817 | | Unique ATT&CK techniques referenced | 218 | | Parent techniques | 94 | | Sub-techniques | 124 | | Tactics with coverage | 14/14 | ## Coverage by Tactic | Tactic | Techniques Covered | |--------|-------------------| | Defense Evasion | 36 | | Credential Access | 33 | | Persistence | 29 | | Initial Access | 17 | | Command and Control | 17 | | Privilege Escalation | 13 | | Discovery | 12 | | Exfiltration | 12 | | Reconnaissance | 11 | | Collection | 10 | | Lateral Movement | 9 | | Execution | 8 | | Resource Development | 6 | | Impact | 5 | ## Color Scale The layer uses a blue gradient to indicate coverage depth: - **Light blue** (`#cfe2f3`): 1-2 skills reference this technique - **Medium blue** (`#6fa8dc`): 3-5 skills reference this technique - **Dark blue** (`#3d85c6`): 6-10 skills reference this technique - **Deep blue** (`#1155cc`): 11+ skills reference this technique ## Top 10 Most Covered Techniques | Technique | Name | Skills | |-----------|------|--------| | T1059.001 | PowerShell | 26 | | T1055 | Process Injection | 17 | | T1053.005 | Scheduled Task | 16 | | T1566.001 | Spearphishing Attachment | 15 | | T1558.003 | Kerberoasting | 14 | | T1547.001 | Registry Run Keys / Startup Folder | 13 | | T1078 | Valid Accounts | 13 | | T1003.006 | DCSync | 13 | | T1071.001 | Web Protocols | 12 | | T1021.002 | SMB/Windows Admin Shares | 12 | ## Methodology Techniques were extracted by scanning all `SKILL.md` files in the repository for ATT&CK technique ID patterns (`T1XXX` and `T1XXX.XXX`). Each technique's score is proportional to the number of distinct skills that reference it, normalized to a 1-100 scale. ## Layer Format - **Format version**: 4.5 - **ATT&CK version**: 14 (Enterprise) - **Navigator version**: 4.9.1 - **Domain**: enterprise-attack ## Related Links - [MITRE ATT&CK Framework](https://attack.mitre.org/) - [ATT&CK Navigator](https://mitre-attack.github.io/attack-navigator/) - [ATT&CK Navigator GitHub](https://github.com/mitre-attack/attack-navigator) --- ## File: tools/README.md # Skill Validation Tools ## validate-skill.py Validate SKILL.md metadata before submitting a PR. ### Usage ```bash # Validate a single skill python tools/validate-skill.py skills/my-new-skill/ # Validate all skills python tools/validate-skill.py --all ``` ### What it checks - SKILL.md exists in the skill directory - Valid YAML frontmatter (between `---` markers) - Required fields present: `name`, `description`, `domain`, `subdomain`, `tags` - Name is kebab-case, 1–64 characters - Description is at least 50 characters (no upper limit; multi-line folded scalars are valid) - Domain is `cybersecurity` - Subdomain is from the allowed list - Tags is a list with at least 2 items ### Requirements Python 3.8+ (stdlib only, no external dependencies)