Borrowing it
Nothing to install: this file belongs to cololi/ruleforge. 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/cololi/ruleforge/master/CLAUDE.mdgit clone --depth 1 https://github.com/cololi/ruleforgeWrote 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/cololi/ruleforge/claude-md)<a href="https://agentmods.dev/instructions/cololi/ruleforge/claude-md"><img src="https://agentmods.dev/badge/instructions/cololi/ruleforge/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/cololi/ruleforge/claude-md"><img src="https://agentmods.dev/badge/instructions/cololi/ruleforge/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 | $0.00352 | $0.00352 |
| Opus 5.5 | $0.00141 | $0.00141 |
| Sonnet 5.5 | $0.00070 | $0.00070 |
| Haiku 4.5 | $0.00035 | $0.00035 |
Grade A, and why
ruleforge 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 2mo 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.
What it actually says
RuleForge
CLI tool that reads Claude Code / Codex session logs and generates optimized rules files.
Tech Stack
- Python 3.12+, uv for package management
- Typer (CLI), Rich (terminal UI), Pydantic (config + models)
- anthropic SDK for LLM classification
- SQLite for effectiveness tracking
Commands
- Build:
uv build - Test:
uv run pytest - Lint:
uv run ruff check src/ tests/ - Type check:
uv run mypy src/ - Install dev:
uv sync --dev
Code Style
- Use functional style, avoid classes unless modeling state (Tracker, Config)
- Use
from __future__ import annotationsin every file - Prefer
pathlib.Pathoveros.path - Use Pydantic BaseModel for all data structures
- Async functions for any LLM API calls
- Type all function signatures strictly
Architecture
parsers/— Read JSONL session logs into Session modelsextractors/— Heuristic + LLM pattern extraction pipelinegenerators/— Render patterns into CLAUDE.md / rules filestracker/— SQLite-backed effectiveness measurementhooks/— Claude Code hook installermodels/— Pydantic domain models (Session, Pattern, Rule)
Prohibitions
- NEVER use print() for user output — use Rich console
- NEVER hardcode API keys or model names — use config
- Do not add dependencies without updating pyproject.toml
- Do not write tests that require live API calls — mock LLM responses
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.
- 2mo ago First seen · 39 lines · 352 tokens per session scan A ee33e2e1be11
ruleforge CLAUDE.md is an instructions file published in the GitHub repository cololi/ruleforge (2 stars, last pushed 6mo ago), licensed MIT. It adds 352 tokens to every session, about $0.0014 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 2026-08-31.
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).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.