Borrowing it
Nothing to install: this file belongs to heavy3-ai/code-audit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/heavy3-ai/code-audit/main/CLAUDE.mdgit clone --depth 1 https://github.com/heavy3-ai/code-auditWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/heavy3-ai/code-audit/claude-md)<a href="https://agentmods.dev/instructions/heavy3-ai/code-audit/claude-md"><img src="https://agentmods.dev/badge/instructions/heavy3-ai/code-audit/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/heavy3-ai/code-audit/claude-md"><img src="https://agentmods.dev/badge/instructions/heavy3-ai/code-audit/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00848 | $0.00848 |
| Opus 5.5 | $0.00339 | $0.00339 |
| Sonnet 5.5 | $0.00170 | $0.00170 |
| Haiku 4.5 | $0.00085 | $0.00085 |
Grade A, and why
code-audit CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 16d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
Heavy3 Code Audit (/h3) is a Claude Code skill providing AI-powered multi-model code reviews via OpenRouter. Modes:
- Single (default): DeepSeek V4 Pro, up to 200K tokens
- Council: 3-model parallel review (GPT 6.1 Sol + Gemini 4 Argon + Grok 4.7), up to 200K tokens
- Free: Rotating free models from OpenRouter
Local Development Setup
# Symlink for Claude Code discovery
mkdir -p ~/.claude/skills && ln -sf "$(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.
- 16d ago Changed · -1 tokens per session 4e921428598f
- 1mo ago Changed · +2 tokens per session 32552b8e9a21
- 1mo ago Changed · -2 tokens per session 9214f0c33bd7
- 2mo 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 (46 stars, last pushed 16d ago), licensed MIT. It adds 848 tokens to every session, about $0.0034 per session on Opus 5.5. 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
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).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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 copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.