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.
npx agentmods add instructions/heavy3-ai/code-audit/claude-mdgit clone --depth 1 https://github.com/heavy3-ai/code-auditWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00849 | $0.00849 |
| Opus 5 | $0.00425 | $0.00425 |
| Sonnet 5 | $0.00170 | $0.00170 |
| Haiku 4.5 | $0.00085 | $0.00085 |
Grade A, and why
code-audit CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
Heavy3 Code Audit (/h3) is a Claude Code skill providing AI-powered multi-model code reviews via OpenRouter. Modes:
- Single (default): DeepSeek V4 Pro, up to 200K tokens
- Council: 3-model parallel review (GPT 5.6 Sol + Gemini 3.1 Pro + Grok 4.6), up to 200K tokens
- Free: Rotating free models from OpenRouter
Local Development Setup
# Symlink for Claude Code discovery
mkdir -p ~/.claude/skills && ln -sf "$(pwd)/skill" ~/.claude/skills/h3
# Make scripts executable
chmod +x skill/scripts/*.py
# Install dependency
pip install requests
# Required env var
export OPENROUTER_API_KEY="your-key"
Architecture
The skill uses YAML frontmatter + markdown format in SKILL.md to define the skill manifest that Claude reads during /h3 execution.
skill/
├── SKILL.md # Skill manifest: YAML frontmatter + instructions for Claude
├── config.json # User config (tier, model, license_key, context limits)
└── scripts/
├── review.py # Lite mode: OpenRouter API calls, prompt templates
├── council.py # Pro mode: 3-parallel reviews with local license check
├── license.py # License activation and verification
└── list-free-models.py # OpenRouter free model discovery
Data Flow:
- User invokes
/h3 code|plan|pr <number>in Claude Code - Claude reads SKILL.md, gathers context (git diff, files, docs)
- Context compiled to JSON and passed to review script via
--context-file - Script calls OpenRouter API, returns review
- Claude synthesizes findings, proposes fixes for user approval
Testing the Skill
Automated Tests (pytest)
# Install test dependencies
cd skill && pip install -r requirements-dev.txt
# Run all tests
cd scripts && python -m pytest tests/ -v
# Run specific test file
python -m pytest tests/test_context.py -v
python -m pytest tests/test_review.py -v
python -m pytest tests/test_streaming.py -v
python -m pytest tests/test_council.py -v
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.
- 2d ago First seen · 94 lines · 849 tokens per session scan A 093782ca1a50
code-audit CLAUDE.md is an instructions file published in the GitHub repository heavy3-ai/code-audit (45 stars, last pushed 20d ago), licensed MIT. It adds 849 tokens to every session, about $0.0042 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 2026-08-30.
Other instructions, from other repositories
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.