codemap-skill AGENTS.md

Instructions for Codemap, a tool that builds an interactive map of a codebase and audits the quality of each module.

In plain words
What is it for?
Use it to initialize, check, update, test, render, and fix a codebase map and its per-module quality assessments.
Why use it?
They define the source data, scoring rules, generated outputs, and separate review roles so audits remain consistent.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/asixa/codemap-skill/agents-md
Clone the repo
git clone --depth 1 https://github.com/Asixa/codemap-skill

Made for: Codex, OpenCode.

Per session 504 This file is loaded in full into every session.
When invoked 504 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00504 $0.00504
Opus 5 $0.00252 $0.00252
Sonnet 5 $0.00101 $0.00101
Haiku 4.5 $0.00050 $0.00050

Measured 2d ago against content hash 65810f3d582d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

codemap-skill AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

AGENTS.md · 36 lines

How it starts

The opening of the file, as written. The whole thing — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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.

Read the full file on GitHub · 36 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 36 lines · 504 tokens per session scan A 65810f3d582d

Subscribe to this mod's changes

codemap-skill AGENTS.md is an instructions file published in the GitHub repository Asixa/codemap-skill (5 stars, last pushed 2mo ago), licensed MIT. It adds 504 tokens to every session, about $0.0025 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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