Individual skill
octocode-benchmark
Use when planning, running, grading, or reporting the by-hand Octocode research benchmark — pairwise matchups (Octocode anchor vs one baseline: gh+RTK, gh+Headroom, or plain gh) over markdown questions, with a fresh isolated runner agent per (question, arm, pass), one blind judge per question grading two answers X/Y in randomized order, and an orchestrator that summarizes accuracy/quality/workflow/characters. Results measured in total characters through the model (model-in delivered + model-out commands/args + final answer).
packages/octocode-benchmark/skills/octocode-benchmark/SKILL.md
Source commit c265e3f9413161c900cbf4aa70d451b8e6b3920a
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- Matches the observed repository HEAD
- Yes
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- Observed behavior
- Network or broad shell
- Last checked
- Nov 10, 2026
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Repository context
- Repository stars (not skill ratings)
- 958
- Repository last updated
- Nov 6, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- claude-ai Repository topic
- cursor-ai Repository topic
- development Repository topic
- mcp Repository topic
- modelcontextprotocol Repository topic
- octocode Repository topic
- ai-agents Repository topic
- ai-tools Repository topic
- code-intelligence Repository topic
- operations Derived category
- research Derived category
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Browse files
README.mddoc · 577 bytesSKILL.mdcore · 8,359 bytesSKILL.mdcore · 8,359 bytesSKILL.mdcore · 8,359 bytesSKILL.mdcore · 8,359 bytesSKILL.mdcore · 8,359 bytesSKILL.mdcore · 8,359 bytesSKILL.mdcore · 8,359 bytesSKILL.mdcore · 8,359 bytesreferences/BENCHMARK.mddoc · 4,986 bytesreferences/INSTRUCTIONS.mddoc · 2,499 bytesreferences/JUDGING.mddoc · 4,995 bytesreferences/REPORT_TEMPLATE.mddoc · 2,509 bytesreferences/RUNNER.mddoc · 3,439 bytesreferences/RUNNER_TOOL_CONTEXT.mddoc · 1,190 bytesreferences/SCORING.mddoc · 3,792 bytesreferences/aggregation-and-stats.mddoc · 5,144 bytesreferences/example-verdict.mddoc · 2,790 bytesreferences/matchup-readme.mddoc · 1,915 bytesreferences/primer-gh-headroom.mddoc · 2,815 bytesreferences/primer-gh-rtk.mddoc · 2,417 bytesreferences/primer-gh.mddoc · 2,114 bytesreferences/primer-octocode.mddoc · 4,662 bytesreferences/run-phases.mddoc · 2,915 bytesreferences/run-preflight.mddoc · 2,986 bytesreferences/run-with-agents.mddoc · 790 bytesscripts/_hr_check.pyruns · 803 bytesscripts/_hr_import.pyruns · 30 bytesscripts/check-prereqs.shruns · 4,803 bytesscripts/measure.shruns · 1,709 bytes
Read excerpt
# Octocode benchmark
Plain-markdown, run-by-hand CLI research comparison. Octocode is the **anchor**; each baseline
is a **separate pairwise matchup** (`octocode` vs `rtk` | `headroom` | `gh`). Per question,
per pass: two isolated runners answer, one blind judge grades them **X / Y** (randomized per
question). Run ≥3 passes; the rollup shows every matchup together. No harness, no JSON.
Paths below are relative to the package root `packages/octocode-benchmark/`. Shared tooling
lives in `compare/bin/`; questions in `compare/github-questions/`; reports in `results/`.
## Flow (4 phases)
0. **Preflight** — verify + pin every arm; a failure invalidates the run.
1. **Answer** — 2 isolated runners (anchor + baseline) per question/pass, leanest-legal path, each appends a `## Q<n>` section to `answers/<arm>-p<pass>.md`.