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codemap-skill-Asixa/AGENTS.md
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codemap — agent instructions

This repository is the codemap tool: it builds and incrementally maintains an interactive architecture map + per-module code-quality audit for any codebase. It is a Claude Code skill, but the engine is tool-agnostic — Codex, Cursor, Aider, or any agent that can read instructions and spawn sub-tasks can drive it.

Read these first

  • SKILL.md — the full workflow and the init / check / update / test / fix commands. Follow it exactly.
  • reference/STANDARDS.md — the fixed scoring rubric, smell taxonomy (with per-language equivalents), severity levels, and the exact per-module audit prompt.
  • reference/DATA_MODEL.md — the modules.json schema (the source of truth).

Non-negotiable rules

  1. modules.json is the source of truth. The HTML and MD are generated by scripts/render.py — never hand-edit them.
  2. Every module's score comes from a separate, independent sub-task (one module per sub-task), using the prompt in reference/STANDARDS.md. Never score many modules in one pass; never reuse one module's score for another.
  3. For fix: keep the four roles separate — test-author, fixer, acceptance/verifier, auditor. A fix is accepted only when an independent acceptance step shows the pre-fix green tests are still green and the build is clean.

The scripts (deterministic, Python 3 stdlib, no install)

python scripts/scan.py       --root <proj> --state <state> [--write]   # LoC + hash + staleness
python scripts/query.py      --state <state> --max-grade C --format ids # pick targets cheaply
python scripts/apply_audit.py --state <state> --id <id> --json '<result>'
python scripts/render.py     --state <state> --template assets/template.html \
                             --out-html <html> --out-md <md>

Use query.py (--format ids|paths|findings) to target work without reading the whole modules.json. Only scoring / fixing / test-writing need the model; everything else is a plain script call.