Skills

Agent Eval

Benchmarks CodeGraph retrieval by comparing agent runs with and without it.

Install

npx skills add colbymchenry/codegraph --skill agent-eval -g -a claude-code -y
Repository
colbymchenry/codegraph76.2k
Category
Testing
Updated
3d ago
License
MIT
Context cost
Lightabout 867 tokens
Runs scripts
No, instructions only

What it does

Benchmark CodeGraph retrieval quality on a real codebase by comparing agent behavior with vs without CodeGraph. Use when the user runs /agent-eval or asks to test, benchmark, audit, or validate a codegraph version (the local dev build or a published npm version) against a language's repo.

CodeGraph Quality Audit

Measures how much CodeGraph helps an agent versus plain grep/read, for a chosen codegraph version on a chosen real-world repo. Drives the harness in scripts/agent-eval/.

Prerequisites

  • tmux 3+, a logged-in claude CLI, node, git (macOS/Linux).
  • Run from the codegraph repo root.

Workflow

Copy this checklist:

- [ ] 1. Pick version (local or npm)
- [ ] 2. Pick language
- [ ] 3. Pick repo by size
- [ ] 4. Pick harness (headless / tmux / both)
- [ ] 5. Run audit.sh in the background
- [ ] 6. Report results

Step 1, version. Ask with AskUserQuestion: which codegraph version to test. Offer "Local dev build" and "Latest published"; the free-text "Other" lets the user type a specific version (e.g. 0.7.10). Map the answer to a VERSION token:

  • "Local dev build" → local
  • "Latest published" → latest
  • a typed version → that string (e.g. 0.7.10)

Step 2, language. Read .claude/skills/agent-eval/corpus.json. Ask with AskUserQuestion which language to test, listing the languages that have entries.

Step 3, repo. From the chosen language's entries, ask which repo. Label each option with its size and file count, e.g. excalidraw, Medium (~600 files). Each entry carries the repo URL and a representative question.

Step 4, harness. Ask with AskUserQuestion which harness to run, and map the answer to a MODE token:

  • "Headless" → headless, claude -p with stream-json: exact tokens/cost and a clean tool sequence (2 runs, fast, no TTY).
  • "Interactive (tmux)" → tmux, drives the real Claude TUI in tmux: faithful Explore-subagent behavior, metrics from session logs (2 runs, slower).
  • "Both" → all, headless + interactive (4 runs).

Step 5, run. Launch in the background (sets the version, clones if missing, wipes + re-indexes, runs the chosen arms, several minutes):

scripts/agent-eval/audit.sh <VERSION> <repo-name> <repo-url> "<question>" <MODE>
Read the whole SKILL.md on GitHub

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