{"owner":"google","repo":"benchmark","hasSkills":true,"totalSkillsCount":11,"totalTokensCount":5057,"categories":["anthropic-skill","root-instruction"],"hasMcp":false,"mcpConfig":null,"found":["tools/gbench/Inputs/test2_run.json","tools/gbench/Inputs/test4_run.json","tools/gbench/Inputs/test3_run0.json","tools/gbench/Inputs/test3_run1.json","AGENTS.md","tools/gbench/Inputs/test1_run2.json","tools/gbench/Inputs/test1_run1.json","tools/gbench/Inputs/test4_run0.json","tools/gbench/Inputs/test5_run1.json","tools/gbench/Inputs/test5_run0.json","tools/gbench/Inputs/test4_run1.json"],"skills":{"tools/gbench/Inputs/test2_run.json":"{\n  \"context\": {\n    \"date\": \"2016-08-02 17:44:46\",\n    \"num_cpus\": 4,\n    \"mhz_per_cpu\": 4228,\n    \"cpu_scaling_enabled\": false,\n    \"library_build_type\": \"release\"\n  },\n  \"benchmarks\": [\n    {\n      \"name\": \"BM_Hi\",\n      \"iterations\": 1234,\n      \"real_time\": 42,\n      \"cpu_time\": 24,\n      \"time_unit\": \"ms\"\n    },\n 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\"iterations\": 1000,\n      \"real_time\": 10,\n      \"cpu_time\": 10,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"Prefix/BM_One/3\",\n      \"iterations\": 1500,\n      \"real_time\": 15,\n      \"cpu_time\": 15,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_Bye\",\n      \"iterations\": 5321,\n      \"real_time\": 11,\n      \"cpu_time\": 63,\n      \"time_unit\": \"ns\"\n    }\n  ]\n}\n","tools/gbench/Inputs/test4_run.json":"{\n  \"benchmarks\": [\n    {\n      \"name\": \"99 family 0 instance 0 repetition 0\",\n      \"run_type\": \"iteration\",\n      \"family_index\": 0,\n      \"per_family_instance_index\": 0,\n      \"repetition_index\": 0\n    },\n    {\n      \"name\": \"98 family 0 instance 0 repetition 1\",\n      \"run_type\": \"iteration\",\n      \"family_index\": 0,\n      \"per_family_instance_index\": 0,\n      \"repetition_index\": 1\n    },\n    {\n      \"name\": \"97 family 0 instance 0 aggregate\",\n      \"run_type\": \"aggregate\",\n      \"family_index\": 0,\n      \"per_family_instance_index\": 0,\n      \"aggregate_name\": \"9 aggregate\"\n    },\n\n\n    {\n      \"name\": \"96 family 0 instance 1 repetition 0\",\n      \"run_type\": \"iteration\",\n      \"family_index\": 0,\n      \"per_family_instance_index\": 1,\n      \"repetition_index\": 0\n    },\n    {\n      \"name\": \"95 family 0 instance 1 repetition 1\",\n      \"run_type\": \"iteration\",\n      \"family_index\": 0,\n      \"per_family_instance_index\": 1,\n      \"repetition_index\": 1\n    },\n    {\n      \"name\": \"94 family 0 instance 1 aggregate\",\n      \"run_type\": \"aggregate\",\n      \"family_index\": 0,\n      \"per_family_instance_index\": 1,\n      \"aggregate_name\": \"9 aggregate\"\n    },\n\n\n\n\n    {\n      \"name\": \"93 family 1 instance 0 repetition 0\",\n      \"run_type\": \"iteration\",\n      \"family_index\": 1,\n      \"per_family_instance_index\": 0,\n      \"repetition_index\": 0\n    },\n    {\n      \"name\": \"92 family 1 instance 0 repetition 1\",\n      \"run_type\": \"iteration\",\n      \"family_index\": 1,\n      \"per_family_instance_index\": 0,\n      \"repetition_index\": 1\n    },\n    {\n      \"name\": \"91 family 1 instance 0 aggregate\",\n      \"run_type\": \"aggregate\",\n      \"family_index\": 1,\n      \"per_family_instance_index\": 0,\n      \"aggregate_name\": \"9 aggregate\"\n    },\n\n\n    {\n      \"name\": \"90 family 1 instance 1 repetition 0\",\n      \"run_type\": \"iteration\",\n      \"family_index\": 1,\n      \"per_family_instance_index\": 1,\n      \"repetition_index\": 0\n    },\n    {\n      \"name\": \"89 family 1 instance 1 repetition 1\",\n      \"run_type\": \"iteration\",\n      \"family_index\": 1,\n      \"per_family_instance_index\": 1,\n      \"repetition_index\": 1\n    },\n    {\n      \"name\": \"88 family 1 instance 1 aggregate\",\n      \"run_type\": \"aggregate\",\n      \"family_index\": 1,\n      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\"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"short\",\n      \"run_type\": \"aggregate\",\n      \"iterations\": 1000,\n      \"real_time\": 8,\n      \"cpu_time\": 77,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"medium\",\n      \"run_type\": \"iteration\",\n      \"iterations\": 1000,\n      \"real_time\": 8,\n      \"cpu_time\": 80,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"medium\",\n      \"run_type\": \"iteration\",\n      \"iterations\": 1000,\n      \"real_time\": 9,\n      \"cpu_time\": 82,\n      \"time_unit\": \"ns\"\n    }\n  ]\n}\n","tools/gbench/Inputs/test3_run1.json":"{\n  \"context\": {\n    \"date\": \"2016-08-02 17:44:46\",\n    \"num_cpus\": 4,\n    \"mhz_per_cpu\": 4228,\n    \"cpu_scaling_enabled\": false,\n    \"library_build_type\": \"release\"\n  },\n  \"benchmarks\": [\n    {\n      \"name\": \"BM_One\",\n      \"iterations\": 1000,\n      \"real_time\": 9,\n      \"cpu_time\": 110,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_Two\",\n      \"run_type\": \"aggregate\",\n      \"iterations\": 1000,\n      \"real_time\": 10,\n      \"cpu_time\": 89,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_Two\",\n      \"iterations\": 1000,\n      \"real_time\": 7,\n      \"cpu_time\": 72,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"short\",\n      \"run_type\": \"aggregate\",\n      \"iterations\": 1000,\n      \"real_time\": 7,\n      \"cpu_time\": 75,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"short\",\n      \"run_type\": \"aggregate\",\n      \"iterations\": 762,\n      \"real_time\": 4.54,\n      \"cpu_time\": 66.6,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"short\",\n      \"run_type\": \"iteration\",\n      \"iterations\": 1000,\n      \"real_time\": 800,\n      \"cpu_time\": 1,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"medium\",\n      \"run_type\": \"iteration\",\n      \"iterations\": 1200,\n      \"real_time\": 5,\n      \"cpu_time\": 53,\n      \"time_unit\": \"ns\"\n    }\n  ]\n}\n","AGENTS.md":"# AI usage\n\n> [!NOTE]\n> The modern (as of 2026-06) AI is a misnomer,\n> - it is not conscious / not a consciousness,\n> - it is not sentient,\n> - it is not intelligent,\n> - it does not think,\n> - it does not understand the code,\n> - it is merely a next-token guesser,\n>\n> ... therefore it is merely an (hyper-) advanced IDE.\n\n> [!NOTE]\n> A contribution is any externally-observable interaction with a project.\n\n> [!CAUTION]\n> Failure to follow the following rules *may* result in repercussions,\n> possibly without a prior warning.\n\nRules:\n1. It is acceptable to use AI when producing contributions.\n> [!WARNING]\n> Any and all AI usage **MUST** be fully and explicitly disclosed\n> in **every** contribution.\n2. All contributions shall be done by conscious, sentient beings.\n   Fully autonomous contributions by bots are prohibited[^1].\n> [!WARNING]\n> Dear contributor, the AI is *your* *tool*, and its output is for *your*\n> *consumption*. It is **your** responsibility to consume said output,\n> interpret it, and then produce the contribution itself.\n> **DO NOT** just query it and post the output,\n> *especially* so for all non-code contributions!\n3. The contributor (conscious, sentient being) solely bears\n   the whole responsibility for the contribution,\n   they must understand the problem, and the solution,\n   and be able to constructively argue about it.\n   \"well, AI said so, therefore it is\" is not an acceptable approach.\n\n[^1]: Unless explicitly allowed by maintainers on case-by-case basis\n      *before* the contribution is submitted,\n      in which case the bot owner (conscious, sentient being)\n      is recognized as the de facto contributor.\n      E.g. https://github.com/apps/dependabot is allowed.\n","tools/gbench/Inputs/test1_run2.json":"{\n  \"context\": {\n    \"date\": \"2016-08-02 17:44:46\",\n    \"num_cpus\": 4,\n    \"mhz_per_cpu\": 4228,\n    \"cpu_scaling_enabled\": false,\n    \"library_build_type\": \"release\"\n  },\n  \"benchmarks\": [\n    {\n      \"name\": \"BM_SameTimes\",\n      \"iterations\": 1000,\n      \"real_time\": 10,\n      \"cpu_time\": 10,\n      \"time_unit\": \"ns\"\n    },\n    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\"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"MyComplexityTest_RMS\",\n      \"run_name\": \"MyComplexityTest\",\n      \"run_type\": \"aggregate\",\n      \"aggregate_name\": \"RMS\",\n      \"rms\": 3.3128901852342174e-03\n    },\n    {\n      \"name\": \"BM_NotBadTimeUnit\",\n      \"iterations\": 1000,\n      \"real_time\": 0.04,\n      \"cpu_time\": 0.6,\n      \"time_unit\": \"s\"\n    },\n    {\n      \"name\": \"BM_DifferentTimeUnit\",\n      \"iterations\": 1,\n      \"real_time\": 1,\n      \"cpu_time\": 1,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_hasLabel\",\n      \"label\": \"a label\",\n      \"iterations\": 1,\n      \"real_time\": 1,\n      \"cpu_time\": 1,\n      \"time_unit\": \"s\"\n    },\n    {\n      \"name\": \"BM_skipped\",\n      \"label\": \"a label\",\n      \"iterations\": 1,\n      \"real_time\": 0,\n      \"cpu_time\": 0,\n      \"time_unit\": \"s\",\n\t  \"skipped\": true,\n      \"skip_message\": \"Some message\"\n    },\n    {\n      \"name\": \"BM_error\",\n      \"iterations\": 1,\n      \"real_time\": 0,\n      \"cpu_time\": 0,\n      \"time_unit\": \"s\",\n\t  \"error_occurred\": true,\n      \"error_message\": \"Something happened\"\n    }\n  ]\n}\n","tools/gbench/Inputs/test1_run1.json":"{\n  \"context\": {\n    \"date\": \"2016-08-02 17:44:46\",\n    \"num_cpus\": 4,\n    \"mhz_per_cpu\": 4228,\n    \"cpu_scaling_enabled\": false,\n    \"library_build_type\": \"release\"\n  },\n  \"benchmarks\": [\n    {\n      \"name\": \"BM_SameTimes\",\n      \"iterations\": 1000,\n      \"real_time\": 10,\n      \"cpu_time\": 10,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_2xFaster\",\n      \"iterations\": 1000,\n      \"real_time\": 50,\n      \"cpu_time\": 50,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_2xSlower\",\n      \"iterations\": 1000,\n      \"real_time\": 50,\n      \"cpu_time\": 50,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_1PercentFaster\",\n      \"iterations\": 1000,\n      \"real_time\": 100,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_1PercentSlower\",\n      \"iterations\": 1000,\n      \"real_time\": 100,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_10PercentFaster\",\n      \"iterations\": 1000,\n      \"real_time\": 100,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_10PercentSlower\",\n      \"iterations\": 1000,\n      \"real_time\": 100,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_100xSlower\",\n      \"iterations\": 1000,\n      \"real_time\": 100,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_100xFaster\",\n      \"iterations\": 1000,\n      \"real_time\": 10000,\n      \"cpu_time\": 10000,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": 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\"time_unit\": \"s\"\n    },\n    {\n      \"name\": \"BM_DifferentTimeUnit\",\n      \"iterations\": 1,\n      \"real_time\": 1,\n      \"cpu_time\": 1,\n      \"time_unit\": \"s\"\n    },\n    {\n      \"name\": \"BM_hasLabel\",\n      \"label\": \"a label\",\n      \"iterations\": 1,\n      \"real_time\": 1,\n      \"cpu_time\": 1,\n      \"time_unit\": \"s\"\n    },\n    {\n      \"name\": \"BM_skipped\",\n      \"label\": \"a label\",\n      \"iterations\": 1,\n      \"real_time\": 0,\n      \"cpu_time\": 0,\n      \"time_unit\": \"s\",\n\t  \"skipped\": true,\n      \"skip_message\": \"Some message\"\n    },\n    {\n      \"name\": \"BM_error\",\n      \"iterations\": 1,\n      \"real_time\": 0,\n      \"cpu_time\": 0,\n      \"time_unit\": \"s\",\n\t  \"error_occurred\": true,\n      \"error_message\": \"Something happened\"\n    }\n  ]\n}\n","tools/gbench/Inputs/test4_run0.json":"{\n  \"context\": {\n    \"date\": \"2016-08-02 17:44:46\",\n    \"num_cpus\": 4,\n    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17:44:46\",\n        \"num_cpus\": 4,\n        \"mhz_per_cpu\": 4228,\n        \"cpu_scaling_enabled\": false,\n        \"library_build_type\": \"release\"\n    },\n    \"benchmarks\": [\n        {\n            \"name\": \"BM_ManyRepetitions\",\n            \"iterations\": 1000,\n            \"real_time\": 1,\n            \"cpu_time\": 1000,\n            \"time_unit\": \"s\"\n        }\n    ]\n}\n","tools/gbench/Inputs/test4_run1.json":"{\n  \"context\": {\n    \"date\": \"2016-08-02 17:44:46\",\n    \"num_cpus\": 4,\n    \"mhz_per_cpu\": 4228,\n    \"cpu_scaling_enabled\": false,\n    \"library_build_type\": \"release\"\n  },\n  \"benchmarks\": [\n    {\n      \"name\": \"whocares\",\n      \"run_type\": \"aggregate\",\n      \"aggregate_name\": \"zz\",\n      \"aggregate_unit\": \"percentage\",\n      \"iterations\": 1000,\n      \"real_time\": 0.005,\n      \"cpu_time\": 0.15,\n      \"time_unit\": \"ns\"\n    }\n  ]\n}\n"},"files":{"tools/gbench/Inputs/test2_run.json":"{\n  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{\n      \"name\": \"BM_One\",\n      \"iterations\": 5000,\n      \"real_time\": 5,\n      \"cpu_time\": 5,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_One/4\",\n      \"iterations\": 2000,\n      \"real_time\": 20,\n      \"cpu_time\": 20,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"Prefix/BM_One\",\n      \"iterations\": 1000,\n      \"real_time\": 10,\n      \"cpu_time\": 10,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"Prefix/BM_One/3\",\n      \"iterations\": 1500,\n      \"real_time\": 15,\n      \"cpu_time\": 15,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_Bye\",\n      \"iterations\": 5321,\n      \"real_time\": 11,\n      \"cpu_time\": 63,\n      \"time_unit\": \"ns\"\n    }\n  ]\n}\n","tools/gbench/Inputs/test4_run.json":"{\n  \"benchmarks\": [\n    {\n      \"name\": \"99 family 0 instance 0 repetition 0\",\n      \"run_type\": \"iteration\",\n      \"family_index\": 0,\n      \"per_family_instance_index\": 0,\n      \"repetition_index\": 0\n    },\n    {\n      \"name\": \"98 family 0 instance 0 repetition 1\",\n      \"run_type\": \"iteration\",\n      \"family_index\": 0,\n      \"per_family_instance_index\": 0,\n      \"repetition_index\": 1\n    },\n    {\n      \"name\": \"97 family 0 instance 0 aggregate\",\n      \"run_type\": \"aggregate\",\n      \"family_index\": 0,\n      \"per_family_instance_index\": 0,\n      \"aggregate_name\": \"9 aggregate\"\n    },\n\n\n    {\n      \"name\": \"96 family 0 instance 1 repetition 0\",\n      \"run_type\": \"iteration\",\n      \"family_index\": 0,\n      \"per_family_instance_index\": 1,\n      \"repetition_index\": 0\n    },\n    {\n      \"name\": \"95 family 0 instance 1 repetition 1\",\n      \"run_type\": \"iteration\",\n      \"family_index\": 0,\n      \"per_family_instance_index\": 1,\n      \"repetition_index\": 1\n    },\n    {\n      \"name\": \"94 family 0 instance 1 aggregate\",\n      \"run_type\": \"aggregate\",\n      \"family_index\": 0,\n      \"per_family_instance_index\": 1,\n      \"aggregate_name\": \"9 aggregate\"\n    },\n\n\n\n\n    {\n      \"name\": \"93 family 1 instance 0 repetition 0\",\n      \"run_type\": \"iteration\",\n      \"family_index\": 1,\n      \"per_family_instance_index\": 0,\n      \"repetition_index\": 0\n    },\n    {\n      \"name\": \"92 family 1 instance 0 repetition 1\",\n      \"run_type\": \"iteration\",\n      \"family_index\": 1,\n      \"per_family_instance_index\": 0,\n      \"repetition_index\": 1\n    },\n    {\n      \"name\": \"91 family 1 instance 0 aggregate\",\n      \"run_type\": \"aggregate\",\n      \"family_index\": 1,\n      \"per_family_instance_index\": 0,\n      \"aggregate_name\": \"9 aggregate\"\n    },\n\n\n    {\n      \"name\": \"90 family 1 instance 1 repetition 0\",\n      \"run_type\": \"iteration\",\n      \"family_index\": 1,\n      \"per_family_instance_index\": 1,\n      \"repetition_index\": 0\n    },\n    {\n      \"name\": \"89 family 1 instance 1 repetition 1\",\n      \"run_type\": \"iteration\",\n      \"family_index\": 1,\n      \"per_family_instance_index\": 1,\n      \"repetition_index\": 1\n    },\n    {\n      \"name\": \"88 family 1 instance 1 aggregate\",\n      \"run_type\": \"aggregate\",\n      \"family_index\": 1,\n      \"per_family_instance_index\": 1,\n      \"aggregate_name\": \"9 aggregate\"\n    }\n  ]\n}\n","tools/gbench/Inputs/test3_run0.json":"{\n  \"context\": {\n    \"date\": \"2016-08-02 17:44:46\",\n    \"num_cpus\": 4,\n    \"mhz_per_cpu\": 4228,\n    \"cpu_scaling_enabled\": false,\n    \"library_build_type\": \"release\"\n  },\n  \"benchmarks\": [\n    {\n      \"name\": \"BM_One\",\n      \"run_type\": \"aggregate\",\n      \"iterations\": 1000,\n      \"real_time\": 10,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_Two\",\n      \"iterations\": 1000,\n      \"real_time\": 9,\n      \"cpu_time\": 90,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_Two\",\n      \"iterations\": 1000,\n      \"real_time\": 8,\n      \"cpu_time\": 86,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"short\",\n      \"run_type\": \"aggregate\",\n      \"iterations\": 1000,\n      \"real_time\": 8,\n      \"cpu_time\": 80,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"short\",\n      \"run_type\": \"aggregate\",\n      \"iterations\": 1000,\n      \"real_time\": 8,\n      \"cpu_time\": 77,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"medium\",\n      \"run_type\": \"iteration\",\n      \"iterations\": 1000,\n      \"real_time\": 8,\n      \"cpu_time\": 80,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"medium\",\n      \"run_type\": \"iteration\",\n      \"iterations\": 1000,\n      \"real_time\": 9,\n      \"cpu_time\": 82,\n      \"time_unit\": \"ns\"\n    }\n  ]\n}\n","tools/gbench/Inputs/test3_run1.json":"{\n  \"context\": {\n    \"date\": \"2016-08-02 17:44:46\",\n    \"num_cpus\": 4,\n    \"mhz_per_cpu\": 4228,\n    \"cpu_scaling_enabled\": false,\n    \"library_build_type\": \"release\"\n  },\n  \"benchmarks\": [\n    {\n      \"name\": \"BM_One\",\n      \"iterations\": 1000,\n      \"real_time\": 9,\n      \"cpu_time\": 110,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_Two\",\n      \"run_type\": \"aggregate\",\n      \"iterations\": 1000,\n      \"real_time\": 10,\n      \"cpu_time\": 89,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_Two\",\n      \"iterations\": 1000,\n      \"real_time\": 7,\n      \"cpu_time\": 72,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"short\",\n      \"run_type\": \"aggregate\",\n      \"iterations\": 1000,\n      \"real_time\": 7,\n      \"cpu_time\": 75,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"short\",\n      \"run_type\": \"aggregate\",\n      \"iterations\": 762,\n      \"real_time\": 4.54,\n      \"cpu_time\": 66.6,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"short\",\n      \"run_type\": \"iteration\",\n      \"iterations\": 1000,\n      \"real_time\": 800,\n      \"cpu_time\": 1,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"medium\",\n      \"run_type\": \"iteration\",\n      \"iterations\": 1200,\n      \"real_time\": 5,\n      \"cpu_time\": 53,\n      \"time_unit\": \"ns\"\n    }\n  ]\n}\n","AGENTS.md":"# AI usage\n\n> [!NOTE]\n> The modern (as of 2026-06) AI is a misnomer,\n> - it is not conscious / not a consciousness,\n> - it is not sentient,\n> - it is not intelligent,\n> - it does not think,\n> - it does not understand the code,\n> - it is merely a next-token guesser,\n>\n> ... therefore it is merely an (hyper-) advanced IDE.\n\n> [!NOTE]\n> A contribution is any externally-observable interaction with a project.\n\n> [!CAUTION]\n> Failure to follow the following rules *may* result in repercussions,\n> possibly without a prior warning.\n\nRules:\n1. It is acceptable to use AI when producing contributions.\n> [!WARNING]\n> Any and all AI usage **MUST** be fully and explicitly disclosed\n> in **every** contribution.\n2. All contributions shall be done by conscious, sentient beings.\n   Fully autonomous contributions by bots are prohibited[^1].\n> [!WARNING]\n> Dear contributor, the AI is *your* *tool*, and its output is for *your*\n> *consumption*. It is **your** responsibility to consume said output,\n> interpret it, and then produce the contribution itself.\n> **DO NOT** just query it and post the output,\n> *especially* so for all non-code contributions!\n3. The contributor (conscious, sentient being) solely bears\n   the whole responsibility for the contribution,\n   they must understand the problem, and the solution,\n   and be able to constructively argue about it.\n   \"well, AI said so, therefore it is\" is not an acceptable approach.\n\n[^1]: Unless explicitly allowed by maintainers on case-by-case basis\n      *before* the contribution is submitted,\n      in which case the bot owner (conscious, sentient being)\n      is recognized as the de facto contributor.\n      E.g. https://github.com/apps/dependabot is allowed.\n","tools/gbench/Inputs/test1_run2.json":"{\n  \"context\": {\n    \"date\": \"2016-08-02 17:44:46\",\n    \"num_cpus\": 4,\n    \"mhz_per_cpu\": 4228,\n    \"cpu_scaling_enabled\": false,\n    \"library_build_type\": \"release\"\n  },\n  \"benchmarks\": [\n    {\n      \"name\": \"BM_SameTimes\",\n      \"iterations\": 1000,\n      \"real_time\": 10,\n      \"cpu_time\": 10,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_2xFaster\",\n      \"iterations\": 1000,\n      \"real_time\": 25,\n      \"cpu_time\": 25,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_2xSlower\",\n      \"iterations\": 20833333,\n      \"real_time\": 100,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_1PercentFaster\",\n      \"iterations\": 1000,\n      \"real_time\": 98.9999999,\n      \"cpu_time\": 98.9999999,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_1PercentSlower\",\n      \"iterations\": 1000,\n      \"real_time\": 100.9999999,\n      \"cpu_time\": 100.9999999,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_10PercentFaster\",\n      \"iterations\": 1000,\n      \"real_time\": 90,\n      \"cpu_time\": 90,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_10PercentSlower\",\n      \"iterations\": 1000,\n      \"real_time\": 110,\n      \"cpu_time\": 110,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_100xSlower\",\n      \"iterations\": 1000,\n      \"real_time\": 1.0000e+04,\n      \"cpu_time\": 1.0000e+04,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_100xFaster\",\n      \"iterations\": 1000,\n      \"real_time\": 100,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_10PercentCPUToTime\",\n      \"iterations\": 1000,\n      \"real_time\": 110,\n      \"cpu_time\": 90,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_ThirdFaster\",\n      \"iterations\": 1000,\n      \"real_time\": 66.665,\n      \"cpu_time\": 66.664,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"MyComplexityTest_BigO\",\n      \"run_name\": \"MyComplexityTest\",\n      \"run_type\": \"aggregate\",\n      \"aggregate_name\": \"BigO\",\n      \"cpu_coefficient\": 5.6215779594361486e+00,\n      \"real_coefficient\": 5.6288314793554610e+00,\n      \"big_o\": \"N\",\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"MyComplexityTest_RMS\",\n      \"run_name\": \"MyComplexityTest\",\n      \"run_type\": \"aggregate\",\n      \"aggregate_name\": \"RMS\",\n      \"rms\": 3.3128901852342174e-03\n    },\n    {\n      \"name\": \"BM_NotBadTimeUnit\",\n      \"iterations\": 1000,\n      \"real_time\": 0.04,\n      \"cpu_time\": 0.6,\n      \"time_unit\": \"s\"\n    },\n    {\n      \"name\": \"BM_DifferentTimeUnit\",\n      \"iterations\": 1,\n      \"real_time\": 1,\n      \"cpu_time\": 1,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_hasLabel\",\n      \"label\": \"a label\",\n      \"iterations\": 1,\n      \"real_time\": 1,\n      \"cpu_time\": 1,\n      \"time_unit\": \"s\"\n    },\n    {\n      \"name\": \"BM_skipped\",\n      \"label\": \"a label\",\n      \"iterations\": 1,\n      \"real_time\": 0,\n      \"cpu_time\": 0,\n      \"time_unit\": \"s\",\n\t  \"skipped\": true,\n      \"skip_message\": \"Some message\"\n    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\"mhz_per_cpu\": 4228,\n    \"cpu_scaling_enabled\": false,\n    \"library_build_type\": \"release\"\n  },\n  \"benchmarks\": [\n    {\n      \"name\": \"whocares\",\n      \"run_type\": \"aggregate\",\n      \"aggregate_name\": \"zz\",\n      \"aggregate_unit\": \"percentage\",\n      \"iterations\": 1000,\n      \"real_time\": 0.01,\n      \"cpu_time\": 0.10,\n      \"time_unit\": \"ns\"\n    }\n  ]\n}\n","tools/gbench/Inputs/test5_run1.json":"{\n    \"context\": {\n        \"date\": \"2016-08-02 17:44:46\",\n        \"num_cpus\": 4,\n        \"mhz_per_cpu\": 4228,\n        \"cpu_scaling_enabled\": false,\n        \"library_build_type\": \"release\"\n    },\n    \"benchmarks\": [\n        {\n            \"name\": \"BM_ManyRepetitions\",\n            \"iterations\": 1000,\n            \"real_time\": 1000,\n            \"cpu_time\": 1,\n            \"time_unit\": \"s\"\n        }\n    ]\n}\n","tools/gbench/Inputs/test5_run0.json":"{\n    \"context\": {\n        \"date\": \"2016-08-02 17:44:46\",\n        \"num_cpus\": 4,\n        \"mhz_per_cpu\": 4228,\n        \"cpu_scaling_enabled\": false,\n        \"library_build_type\": \"release\"\n    },\n    \"benchmarks\": [\n        {\n            \"name\": \"BM_ManyRepetitions\",\n            \"iterations\": 1000,\n            \"real_time\": 1,\n            \"cpu_time\": 1000,\n            \"time_unit\": \"s\"\n        }\n    ]\n}\n","tools/gbench/Inputs/test4_run1.json":"{\n  \"context\": {\n    \"date\": \"2016-08-02 17:44:46\",\n    \"num_cpus\": 4,\n    \"mhz_per_cpu\": 4228,\n    \"cpu_scaling_enabled\": false,\n    \"library_build_type\": \"release\"\n  },\n  \"benchmarks\": [\n    {\n      \"name\": \"whocares\",\n      \"run_type\": \"aggregate\",\n      \"aggregate_name\": \"zz\",\n      \"aggregate_unit\": \"percentage\",\n      \"iterations\": 1000,\n      \"real_time\": 0.005,\n      \"cpu_time\": 0.15,\n      \"time_unit\": \"ns\"\n    }\n  ]\n}\n"},"items":[{"name":"AGENTS.md","path":"AGENTS.md","rawUrl":"https://raw.githubusercontent.com/google/benchmark/HEAD/AGENTS.md","title":"AI Agent Protocol & Instructions","category":"root-instruction","format":"markdown","content":"# AI usage\n\n> [!NOTE]\n> The modern (as of 2026-06) AI is a misnomer,\n> - it is not conscious / not a consciousness,\n> - it is not sentient,\n> - it is not intelligent,\n> - it does not think,\n> - it does not understand the code,\n> - it is merely a next-token guesser,\n>\n> ... therefore it is merely an (hyper-) advanced IDE.\n\n> [!NOTE]\n> A contribution is any externally-observable interaction with a project.\n\n> [!CAUTION]\n> Failure to follow the following rules *may* result in repercussions,\n> possibly without a prior warning.\n\nRules:\n1. It is acceptable to use AI when producing contributions.\n> [!WARNING]\n> Any and all AI usage **MUST** be fully and explicitly disclosed\n> in **every** contribution.\n2. All contributions shall be done by conscious, sentient beings.\n   Fully autonomous contributions by bots are prohibited[^1].\n> [!WARNING]\n> Dear contributor, the AI is *your* *tool*, and its output is for *your*\n> *consumption*. It is **your** responsibility to consume said output,\n> interpret it, and then produce the contribution itself.\n> **DO NOT** just query it and post the output,\n> *especially* so for all non-code contributions!\n3. The contributor (conscious, sentient being) solely bears\n   the whole responsibility for the contribution,\n   they must understand the problem, and the solution,\n   and be able to constructively argue about it.\n   \"well, AI said so, therefore it is\" is not an acceptable approach.\n\n[^1]: Unless explicitly allowed by maintainers on case-by-case basis\n      *before* the contribution is submitted,\n      in which case the bot owner (conscious, sentient being)\n      is recognized as the de facto contributor.\n      E.g. https://github.com/apps/dependabot is allowed.\n","isInternal":false,"tokens":405,"sizeBytes":1716},{"name":"test1_run1.json","path":"tools/gbench/Inputs/test1_run1.json","rawUrl":"https://raw.githubusercontent.com/google/benchmark/HEAD/tools/gbench/Inputs/test1_run1.json","title":"Inputs Skill","category":"anthropic-skill","format":"json","content":"{\n  \"context\": {\n    \"date\": \"2016-08-02 17:44:46\",\n    \"num_cpus\": 4,\n    \"mhz_per_cpu\": 4228,\n    \"cpu_scaling_enabled\": false,\n    \"library_build_type\": \"release\"\n  },\n  \"benchmarks\": [\n    {\n      \"name\": \"BM_SameTimes\",\n      \"iterations\": 1000,\n      \"real_time\": 10,\n      \"cpu_time\": 10,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_2xFaster\",\n      \"iterations\": 1000,\n      \"real_time\": 50,\n      \"cpu_time\": 50,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_2xSlower\",\n      \"iterations\": 1000,\n      \"real_time\": 50,\n      \"cpu_time\": 50,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_1PercentFaster\",\n      \"iterations\": 1000,\n      \"real_time\": 100,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_1PercentSlower\",\n      \"iterations\": 1000,\n      \"real_time\": 100,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_10PercentFaster\",\n      \"iterations\": 1000,\n      \"real_time\": 100,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_10PercentSlower\",\n      \"iterations\": 1000,\n      \"real_time\": 100,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_100xSlower\",\n      \"iterations\": 1000,\n      \"real_time\": 100,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_100xFaster\",\n      \"iterations\": 1000,\n      \"real_time\": 10000,\n      \"cpu_time\": 10000,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_10PercentCPUToTime\",\n      \"iterations\": 1000,\n      \"real_time\": 100,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_ThirdFaster\",\n      \"iterations\": 1000,\n      \"real_time\": 100,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"MyComplexityTest_BigO\",\n      \"run_name\": \"MyComplexityTest\",\n      \"run_type\": \"aggregate\",\n      \"aggregate_name\": \"BigO\",\n      \"cpu_coefficient\": 4.2749856294592886e+00,\n      \"real_coefficient\": 6.4789275289789780e+00,\n      \"big_o\": \"N\",\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"MyComplexityTest_RMS\",\n      \"run_name\": \"MyComplexityTest\",\n      \"run_type\": \"aggregate\",\n      \"aggregate_name\": \"RMS\",\n      \"rms\": 4.5097802512472874e-03\n    },\n    {\n      \"name\": \"BM_NotBadTimeUnit\",\n      \"iterations\": 1000,\n      \"real_time\": 0.4,\n      \"cpu_time\": 0.5,\n      \"time_unit\": \"s\"\n    },\n    {\n      \"name\": \"BM_DifferentTimeUnit\",\n      \"iterations\": 1,\n      \"real_time\": 1,\n      \"cpu_time\": 1,\n      \"time_unit\": \"s\"\n    },\n    {\n      \"name\": \"BM_hasLabel\",\n      \"label\": \"a label\",\n      \"iterations\": 1,\n      \"real_time\": 1,\n      \"cpu_time\": 1,\n      \"time_unit\": \"s\"\n    },\n    {\n      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\"library_build_type\": \"release\"\n  },\n  \"benchmarks\": [\n    {\n      \"name\": \"whocares\",\n      \"run_type\": \"aggregate\",\n      \"aggregate_name\": \"zz\",\n      \"aggregate_unit\": \"percentage\",\n      \"iterations\": 1000,\n      \"real_time\": 0.005,\n      \"cpu_time\": 0.15,\n      \"time_unit\": \"ns\"\n    }\n  ]\n}\n","frontmatter":{"context":{"date":"2016-08-02 17:44:46","num_cpus":4,"mhz_per_cpu":4228,"cpu_scaling_enabled":false,"library_build_type":"release"},"benchmarks":[{"name":"whocares","run_type":"aggregate","aggregate_name":"zz","aggregate_unit":"percentage","iterations":1000,"real_time":0.005,"cpu_time":0.15,"time_unit":"ns"}]},"isInternal":false,"tokens":144,"sizeBytes":432},{"name":"test5_run0.json","path":"tools/gbench/Inputs/test5_run0.json","rawUrl":"https://raw.githubusercontent.com/google/benchmark/HEAD/tools/gbench/Inputs/test5_run0.json","title":"Inputs Skill","category":"anthropic-skill","format":"json","content":"{\n    \"context\": {\n        \"date\": \"2016-08-02 17:44:46\",\n        \"num_cpus\": 4,\n        \"mhz_per_cpu\": 4228,\n        \"cpu_scaling_enabled\": false,\n        \"library_build_type\": \"release\"\n    },\n    \"benchmarks\": [\n        {\n            \"name\": \"BM_ManyRepetitions\",\n            \"iterations\": 1000,\n            \"real_time\": 1,\n            \"cpu_time\": 1000,\n            \"time_unit\": \"s\"\n        }\n    ]\n}\n","frontmatter":{"context":{"date":"2016-08-02 17:44:46","num_cpus":4,"mhz_per_cpu":4228,"cpu_scaling_enabled":false,"library_build_type":"release"},"benchmarks":[{"name":"BM_ManyRepetitions","iterations":1000,"real_time":1,"cpu_time":1000,"time_unit":"s"}]},"isInternal":false,"tokens":120,"sizeBytes":404},{"name":"test5_run1.json","path":"tools/gbench/Inputs/test5_run1.json","rawUrl":"https://raw.githubusercontent.com/google/benchmark/HEAD/tools/gbench/Inputs/test5_run1.json","title":"Inputs Skill","category":"anthropic-skill","format":"json","content":"{\n    \"context\": {\n        \"date\": \"2016-08-02 17:44:46\",\n        \"num_cpus\": 4,\n        \"mhz_per_cpu\": 4228,\n        \"cpu_scaling_enabled\": false,\n        \"library_build_type\": \"release\"\n    },\n    \"benchmarks\": [\n        {\n            \"name\": \"BM_ManyRepetitions\",\n            \"iterations\": 1000,\n            \"real_time\": 1000,\n            \"cpu_time\": 1,\n            \"time_unit\": \"s\"\n        }\n    ]\n}\n","frontmatter":{"context":{"date":"2016-08-02 17:44:46","num_cpus":4,"mhz_per_cpu":4228,"cpu_scaling_enabled":false,"library_build_type":"release"},"benchmarks":[{"name":"BM_ManyRepetitions","iterations":1000,"real_time":1000,"cpu_time":1,"time_unit":"s"}]},"isInternal":false,"tokens":120,"sizeBytes":404}],"systemPromptSnippet":"<yakaai_skills repo=\"google/benchmark\">\n<!-- File: AGENTS.md (Tokens: ~405 | Category: root-instruction) -->\n# AI usage\n\n> [!NOTE]\n> The modern (as of 2026-06) AI is a misnomer,\n> - it is not conscious / not a consciousness,\n> - it is not sentient,\n> - it is not intelligent,\n> - it does not think,\n> - it does not understand the code,\n> - it is merely a next-token guesser,\n>\n> ... therefore it is merely an (hyper-) advanced IDE.\n\n> [!NOTE]\n> A contribution is any externally-observable interaction with a project.\n\n> [!CAUTION]\n> Failure to follow the following rules *may* result in repercussions,\n> possibly without a prior warning.\n\nRules:\n1. It is acceptable to use AI when producing contributions.\n> [!WARNING]\n> Any and all AI usage **MUST** be fully and explicitly disclosed\n> in **every** contribution.\n2. All contributions shall be done by conscious, sentient beings.\n   Fully autonomous contributions by bots are prohibited[^1].\n> [!WARNING]\n> Dear contributor, the AI is *your* *tool*, and its output is for *your*\n> *consumption*. It is **your** responsibility to consume said output,\n> interpret it, and then produce the contribution itself.\n> **DO NOT** just query it and post the output,\n> *especially* so for all non-code contributions!\n3. The contributor (conscious, sentient being) solely bears\n   the whole responsibility for the contribution,\n   they must understand the problem, and the solution,\n   and be able to constructively argue about it.\n   \"well, AI said so, therefore it is\" is not an acceptable approach.\n\n[^1]: Unless explicitly allowed by maintainers on case-by-case basis\n      *before* the contribution is submitted,\n      in which case the bot owner (conscious, sentient being)\n      is recognized as the de facto contributor.\n      E.g. https://github.com/apps/dependabot is allowed.\n\n<!-- File: tools/gbench/Inputs/test1_run1.json (Tokens: ~1034 | Category: anthropic-skill) -->\n{\n  \"context\": {\n    \"date\": \"2016-08-02 17:44:46\",\n    \"num_cpus\": 4,\n    \"mhz_per_cpu\": 4228,\n    \"cpu_scaling_enabled\": false,\n    \"library_build_type\": \"release\"\n  },\n  \"benchmarks\": [\n    {\n      \"name\": \"BM_SameTimes\",\n      \"iterations\": 1000,\n      \"real_time\": 10,\n      \"cpu_time\": 10,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_2xFaster\",\n      \"iterations\": 1000,\n      \"real_time\": 50,\n      \"cpu_time\": 50,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_2xSlower\",\n      \"iterations\": 1000,\n      \"real_time\": 50,\n      \"cpu_time\": 50,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_1PercentFaster\",\n      \"iterations\": 1000,\n      \"real_time\": 100,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_1PercentSlower\",\n      \"iterations\": 1000,\n      \"real_time\": 100,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_10PercentFaster\",\n      \"iterations\": 1000,\n      \"real_time\": 100,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_10PercentSlower\",\n      \"iterations\": 1000,\n      \"real_time\": 100,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_100xSlower\",\n      \"iterations\": 1000,\n      \"real_time\": 100,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_100xFaster\",\n      \"iterations\": 1000,\n      \"real_time\": 10000,\n      \"cpu_time\": 10000,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_10PercentCPUToTime\",\n      \"iterations\": 1000,\n      \"real_time\": 100,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_ThirdFaster\",\n      \"iterations\": 1000,\n      \"real_time\": 100,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"MyComplexityTest_BigO\",\n      \"run_name\": \"MyComplexityTest\",\n      \"run_type\": \"aggregate\",\n      \"aggregate_name\": \"BigO\",\n      \"cpu_coefficient\": 4.2749856294592886e+00,\n      \"real_coefficient\": 6.4789275289789780e+00,\n      \"big_o\": \"N\",\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"MyComplexityTest_RMS\",\n      \"run_name\": \"MyComplexityTest\",\n      \"run_type\": \"aggregate\",\n      \"aggregate_name\": \"RMS\",\n      \"rms\": 4.5097802512472874e-03\n    },\n    {\n      \"name\": \"BM_NotBadTimeUnit\",\n      \"iterations\": 1000,\n      \"real_time\": 0.4,\n      \"cpu_time\": 0.5,\n      \"time_unit\": \"s\"\n    },\n    {\n      \"name\": \"BM_DifferentTimeUnit\",\n      \"iterations\": 1,\n      \"real_time\": 1,\n      \"cpu_time\": 1,\n      \"time_unit\": \"s\"\n    },\n    {\n      \"name\": \"BM_hasLabel\",\n      \"label\": \"a label\",\n      \"iterations\": 1,\n      \"real_time\": 1,\n      \"cpu_time\": 1,\n      \"time_unit\": \"s\"\n    },\n    {\n      \"name\": \"BM_skipped\",\n      \"label\": \"a label\",\n      \"iterations\": 1,\n      \"real_time\": 0,\n      \"cpu_time\": 0,\n      \"time_unit\": \"s\",\n\t  \"skipped\": true,\n      \"skip_message\": \"Some message\"\n    },\n    {\n      \"name\": \"BM_error\",\n      \"iterations\": 1,\n      \"real_time\": 0,\n      \"cpu_time\": 0,\n      \"time_unit\": \"s\",\n\t  \"error_occurred\": true,\n      \"error_message\": \"Something happened\"\n    }\n  ]\n}\n\n<!-- File: tools/gbench/Inputs/test1_run2.json (Tokens: ~1065 | Category: anthropic-skill) -->\n{\n  \"context\": {\n    \"date\": \"2016-08-02 17:44:46\",\n    \"num_cpus\": 4,\n    \"mhz_per_cpu\": 4228,\n    \"cpu_scaling_enabled\": false,\n    \"library_build_type\": \"release\"\n  },\n  \"benchmarks\": [\n    {\n      \"name\": \"BM_SameTimes\",\n      \"iterations\": 1000,\n      \"real_time\": 10,\n      \"cpu_time\": 10,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_2xFaster\",\n      \"iterations\": 1000,\n      \"real_time\": 25,\n      \"cpu_time\": 25,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_2xSlower\",\n      \"iterations\": 20833333,\n      \"real_time\": 100,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_1PercentFaster\",\n      \"iterations\": 1000,\n      \"real_time\": 98.9999999,\n      \"cpu_time\": 98.9999999,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_1PercentSlower\",\n      \"iterations\": 1000,\n      \"real_time\": 100.9999999,\n      \"cpu_time\": 100.9999999,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_10PercentFaster\",\n      \"iterations\": 1000,\n      \"real_time\": 90,\n      \"cpu_time\": 90,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_10PercentSlower\",\n      \"iterations\": 1000,\n      \"real_time\": 110,\n      \"cpu_time\": 110,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_100xSlower\",\n      \"iterations\": 1000,\n      \"real_time\": 1.0000e+04,\n      \"cpu_time\": 1.0000e+04,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_100xFaster\",\n      \"iterations\": 1000,\n      \"real_time\": 100,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_10PercentCPUToTime\",\n      \"iterations\": 1000,\n      \"real_time\": 110,\n      \"cpu_time\": 90,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_ThirdFaster\",\n      \"iterations\": 1000,\n      \"real_time\": 66.665,\n      \"cpu_time\": 66.664,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"MyComplexityTest_BigO\",\n      \"run_name\": \"MyComplexityTest\",\n      \"run_type\": \"aggregate\",\n      \"aggregate_name\": \"BigO\",\n      \"cpu_coefficient\": 5.6215779594361486e+00,\n      \"real_coefficient\": 5.6288314793554610e+00,\n      \"big_o\": \"N\",\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"MyComplexityTest_RMS\",\n      \"run_name\": \"MyComplexityTest\",\n      \"run_type\": \"aggregate\",\n      \"aggregate_name\": \"RMS\",\n      \"rms\": 3.3128901852342174e-03\n    },\n    {\n      \"name\": \"BM_NotBadTimeUnit\",\n      \"iterations\": 1000,\n      \"real_time\": 0.04,\n      \"cpu_time\": 0.6,\n      \"time_unit\": \"s\"\n    },\n    {\n      \"name\": \"BM_DifferentTimeUnit\",\n      \"iterations\": 1,\n      \"real_time\": 1,\n      \"cpu_time\": 1,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_hasLabel\",\n      \"label\": \"a label\",\n      \"iterations\": 1,\n      \"real_time\": 1,\n      \"cpu_time\": 1,\n      \"time_unit\": \"s\"\n    },\n    {\n      \"name\": \"BM_skipped\",\n      \"label\": \"a label\",\n      \"iterations\": 1,\n      \"real_time\": 0,\n      \"cpu_time\": 0,\n      \"time_unit\": \"s\",\n\t  \"skipped\": true,\n      \"skip_message\": \"Some message\"\n    },\n    {\n      \"name\": \"BM_error\",\n      \"iterations\": 1,\n      \"real_time\": 0,\n      \"cpu_time\": 0,\n      \"time_unit\": \"s\",\n\t  \"error_occurred\": true,\n      \"error_message\": \"Something happened\"\n    }\n  ]\n}\n\n<!-- File: tools/gbench/Inputs/test2_run.json (Tokens: ~529 | Category: anthropic-skill) -->\n{\n  \"context\": {\n    \"date\": \"2016-08-02 17:44:46\",\n    \"num_cpus\": 4,\n    \"mhz_per_cpu\": 4228,\n    \"cpu_scaling_enabled\": false,\n    \"library_build_type\": \"release\"\n  },\n  \"benchmarks\": [\n    {\n      \"name\": \"BM_Hi\",\n      \"iterations\": 1234,\n      \"real_time\": 42,\n      \"cpu_time\": 24,\n      \"time_unit\": \"ms\"\n    },\n    {\n      \"name\": \"BM_Zero\",\n      \"iterations\": 1000,\n      \"real_time\": 10,\n      \"cpu_time\": 10,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_Zero/4\",\n      \"iterations\": 4000,\n      \"real_time\": 40,\n      \"cpu_time\": 40,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"Prefix/BM_Zero\",\n      \"iterations\": 2000,\n      \"real_time\": 20,\n      \"cpu_time\": 20,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"Prefix/BM_Zero/3\",\n      \"iterations\": 3000,\n      \"real_time\": 30,\n      \"cpu_time\": 30,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_One\",\n      \"iterations\": 5000,\n      \"real_time\": 5,\n      \"cpu_time\": 5,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_One/4\",\n      \"iterations\": 2000,\n      \"real_time\": 20,\n      \"cpu_time\": 20,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"Prefix/BM_One\",\n      \"iterations\": 1000,\n      \"real_time\": 10,\n      \"cpu_time\": 10,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"Prefix/BM_One/3\",\n      \"iterations\": 1500,\n      \"real_time\": 15,\n      \"cpu_time\": 15,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_Bye\",\n      \"iterations\": 5321,\n      \"real_time\": 11,\n      \"cpu_time\": 63,\n      \"time_unit\": \"ns\"\n    }\n  ]\n}\n\n<!-- File: tools/gbench/Inputs/test3_run0.json (Tokens: ~415 | Category: anthropic-skill) -->\n{\n  \"context\": {\n    \"date\": \"2016-08-02 17:44:46\",\n    \"num_cpus\": 4,\n    \"mhz_per_cpu\": 4228,\n    \"cpu_scaling_enabled\": false,\n    \"library_build_type\": \"release\"\n  },\n  \"benchmarks\": [\n    {\n      \"name\": \"BM_One\",\n      \"run_type\": \"aggregate\",\n      \"iterations\": 1000,\n      \"real_time\": 10,\n      \"cpu_time\": 100,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_Two\",\n      \"iterations\": 1000,\n      \"real_time\": 9,\n      \"cpu_time\": 90,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_Two\",\n      \"iterations\": 1000,\n      \"real_time\": 8,\n      \"cpu_time\": 86,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"short\",\n      \"run_type\": \"aggregate\",\n      \"iterations\": 1000,\n      \"real_time\": 8,\n      \"cpu_time\": 80,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"short\",\n      \"run_type\": \"aggregate\",\n      \"iterations\": 1000,\n      \"real_time\": 8,\n      \"cpu_time\": 77,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"medium\",\n      \"run_type\": \"iteration\",\n      \"iterations\": 1000,\n      \"real_time\": 8,\n      \"cpu_time\": 80,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"medium\",\n      \"run_type\": \"iteration\",\n      \"iterations\": 1000,\n      \"real_time\": 9,\n      \"cpu_time\": 82,\n      \"time_unit\": \"ns\"\n    }\n  ]\n}\n\n<!-- File: tools/gbench/Inputs/test3_run1.json (Tokens: ~418 | Category: anthropic-skill) -->\n{\n  \"context\": {\n    \"date\": \"2016-08-02 17:44:46\",\n    \"num_cpus\": 4,\n    \"mhz_per_cpu\": 4228,\n    \"cpu_scaling_enabled\": false,\n    \"library_build_type\": \"release\"\n  },\n  \"benchmarks\": [\n    {\n      \"name\": \"BM_One\",\n      \"iterations\": 1000,\n      \"real_time\": 9,\n      \"cpu_time\": 110,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_Two\",\n      \"run_type\": \"aggregate\",\n      \"iterations\": 1000,\n      \"real_time\": 10,\n      \"cpu_time\": 89,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"BM_Two\",\n      \"iterations\": 1000,\n      \"real_time\": 7,\n      \"cpu_time\": 72,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"short\",\n      \"run_type\": \"aggregate\",\n      \"iterations\": 1000,\n      \"real_time\": 7,\n      \"cpu_time\": 75,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"short\",\n      \"run_type\": \"aggregate\",\n      \"iterations\": 762,\n      \"real_time\": 4.54,\n      \"cpu_time\": 66.6,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"short\",\n      \"run_type\": \"iteration\",\n      \"iterations\": 1000,\n      \"real_time\": 800,\n      \"cpu_time\": 1,\n      \"time_unit\": \"ns\"\n    },\n    {\n      \"name\": \"medium\",\n      \"run_type\": \"iteration\",\n      \"iterations\": 1200,\n      \"real_time\": 5,\n      \"cpu_time\": 53,\n      \"time_unit\": \"ns\"\n    }\n  ]\n}\n\n<!-- File: tools/gbench/Inputs/test4_run.json (Tokens: ~663 | Category: anthropic-skill) -->\n{\n  \"benchmarks\": [\n    {\n      \"name\": \"99 family 0 instance 0 repetition 0\",\n      \"run_type\": \"iteration\",\n      \"family_index\": 0,\n      \"per_family_instance_index\": 0,\n      \"repetition_index\": 0\n    },\n    {\n      \"name\": \"98 family 0 instance 0 repetition 1\",\n      \"run_type\": \"iteration\",\n      \"family_index\": 0,\n      \"per_family_instance_index\": 0,\n      \"repetition_index\": 1\n    },\n    {\n      \"name\": \"97 family 0 instance 0 aggregate\",\n      \"run_type\": \"aggregate\",\n      \"family_index\": 0,\n      \"per_family_instance_index\": 0,\n      \"aggregate_name\": \"9 aggregate\"\n    },\n\n\n    {\n      \"name\": \"96 family 0 instance 1 repetition 0\",\n      \"run_type\": \"iteration\",\n      \"family_index\": 0,\n      \"per_family_instance_index\": 1,\n      \"repetition_index\": 0\n    },\n    {\n      \"name\": \"95 family 0 instance 1 repetition 1\",\n      \"run_type\": \"iteration\",\n      \"family_index\": 0,\n      \"per_family_instance_index\": 1,\n      \"repetition_index\": 1\n    },\n    {\n      \"name\": \"94 family 0 instance 1 aggregate\",\n      \"run_type\": \"aggregate\",\n      \"family_index\": 0,\n      \"per_family_instance_index\": 1,\n      \"aggregate_name\": \"9 aggregate\"\n    },\n\n\n\n\n    {\n      \"name\": \"93 family 1 instance 0 repetition 0\",\n      \"run_type\": \"iteration\",\n      \"family_index\": 1,\n      \"per_family_instance_index\": 0,\n      \"repetition_index\": 0\n    },\n    {\n      \"name\": \"92 family 1 instance 0 repetition 1\",\n      \"run_type\": \"iteration\",\n      \"family_index\": 1,\n      \"per_family_instance_index\": 0,\n      \"repetition_index\": 1\n    },\n    {\n      \"name\": \"91 family 1 instance 0 aggregate\",\n      \"run_type\": \"aggregate\",\n      \"family_index\": 1,\n      \"per_family_instance_index\": 0,\n      \"aggregate_name\": \"9 aggregate\"\n    },\n\n\n    {\n      \"name\": \"90 family 1 instance 1 repetition 0\",\n      \"run_type\": \"iteration\",\n      \"family_index\": 1,\n      \"per_family_instance_index\": 1,\n      \"repetition_index\": 0\n    },\n    {\n      \"name\": \"89 family 1 instance 1 repetition 1\",\n      \"run_type\": \"iteration\",\n      \"family_index\": 1,\n      \"per_family_instance_index\": 1,\n      \"repetition_index\": 1\n    },\n    {\n      \"name\": \"88 family 1 instance 1 aggregate\",\n      \"run_type\": \"aggregate\",\n      \"family_index\": 1,\n      \"per_family_instance_index\": 1,\n      \"aggregate_name\": \"9 aggregate\"\n    }\n  ]\n}\n\n<!-- File: tools/gbench/Inputs/test4_run0.json (Tokens: ~144 | Category: anthropic-skill) -->\n{\n  \"context\": {\n    \"date\": \"2016-08-02 17:44:46\",\n    \"num_cpus\": 4,\n    \"mhz_per_cpu\": 4228,\n    \"cpu_scaling_enabled\": false,\n    \"library_build_type\": \"release\"\n  },\n  \"benchmarks\": [\n    {\n      \"name\": \"whocares\",\n      \"run_type\": \"aggregate\",\n      \"aggregate_name\": \"zz\",\n      \"aggregate_unit\": \"percentage\",\n      \"iterations\": 1000,\n      \"real_time\": 0.01,\n      \"cpu_time\": 0.10,\n      \"time_unit\": \"ns\"\n    }\n  ]\n}\n\n<!-- File: tools/gbench/Inputs/test4_run1.json (Tokens: ~144 | Category: anthropic-skill) -->\n{\n  \"context\": {\n    \"date\": \"2016-08-02 17:44:46\",\n    \"num_cpus\": 4,\n    \"mhz_per_cpu\": 4228,\n    \"cpu_scaling_enabled\": false,\n    \"library_build_type\": \"release\"\n  },\n  \"benchmarks\": [\n    {\n      \"name\": \"whocares\",\n      \"run_type\": \"aggregate\",\n      \"aggregate_name\": \"zz\",\n      \"aggregate_unit\": \"percentage\",\n      \"iterations\": 1000,\n      \"real_time\": 0.005,\n      \"cpu_time\": 0.15,\n      \"time_unit\": \"ns\"\n    }\n  ]\n}\n\n<!-- File: tools/gbench/Inputs/test5_run0.json (Tokens: ~120 | Category: anthropic-skill) -->\n{\n    \"context\": {\n        \"date\": \"2016-08-02 17:44:46\",\n        \"num_cpus\": 4,\n        \"mhz_per_cpu\": 4228,\n        \"cpu_scaling_enabled\": false,\n        \"library_build_type\": \"release\"\n    },\n    \"benchmarks\": [\n        {\n            \"name\": \"BM_ManyRepetitions\",\n            \"iterations\": 1000,\n            \"real_time\": 1,\n            \"cpu_time\": 1000,\n            \"time_unit\": \"s\"\n        }\n    ]\n}\n\n<!-- File: tools/gbench/Inputs/test5_run1.json (Tokens: ~120 | Category: anthropic-skill) -->\n{\n    \"context\": {\n        \"date\": \"2016-08-02 17:44:46\",\n        \"num_cpus\": 4,\n        \"mhz_per_cpu\": 4228,\n        \"cpu_scaling_enabled\": false,\n        \"library_build_type\": \"release\"\n    },\n    \"benchmarks\": [\n        {\n            \"name\": \"BM_ManyRepetitions\",\n            \"iterations\": 1000,\n            \"real_time\": 1000,\n            \"cpu_time\": 1,\n            \"time_unit\": \"s\"\n        }\n    ]\n}\n</yakaai_skills>"}