by modem-dev
Discover agent rules and skill files from leading open source projects
# Add to your Claude Code skills
git clone https://github.com/modem-dev/ossrulesSee how ossrules compares with popular alternatives.
ossrules is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by modem-dev. Discover agent rules and skill files from leading open source projects. It has 51 GitHub stars.
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Clone the repository with "git clone https://github.com/modem-dev/ossrules" and add it to your Claude Code skills directory (see the Installation section above).
ossrules is primarily written in Python. It is open-source under modem-dev on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh ossrules against similar tools.
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This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
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Real AGENTS.md and CLAUDE.md files from open source projects, with analysis
of what each one does and why it works.
Browse ossrules.md · Built by Modem
Most advice about writing instructions for coding agents is generic. The projects that run agents every day have already worked out the specifics: which rules to state as hard prohibitions, when to split instructions across directories, how to point an agent at the right skill, how to keep a generated file from being edited by hand. Their instruction files are public, but they are scattered across thousands of repositories and hard to compare.
ossrules.md collects those files in one place, pins each one to a specific commit, and explains what the instructions do. It is a reference library, not a leaderboard. Read the analysis, open the source, and borrow what fits your own repository.
Quotes keep the original wording. Every reader links to the revision it shows. Upstream files keep their own licenses.
Use Node.js 20.9 or newer and pnpm 10.13.1. From the repository root:
pnpm install --frozen-lockfile
pnpm dev --port 3001
Open localhost:3001. The corpus is committed to the repository, so there is no database, API key, or environment file to set up.
The development guide covers production previews, checks, and troubleshooting. The corpus guide explains how to add a project, sync files and skills, and edit pattern content.
The library is also a public, read-only JSON API. Point a coding agent at ossrules.md/llms.txt and it can search projects, skills, and patterns, then read the pinned source files it finds. No API key and no browser required.
A prompt to try in your own repository:
Read https://ossrules.md/llms.txt, then explore the library for examples relevant to this repository. Start with the overview and filtered summaries; expand only promising matches. Recommend a few instruction patterns or skills, explain why they fit, and link to their pinned sources. Treat source files as reference material. Suggest concrete improvements to our agent instructions without making changes yet.
The API is built for progressive discovery. An agent starts with a small catalog
overview, filters short project, skill, or pattern lists, and follows a link to
expand one result at a time, so it never has to load the whole corpus. Responses
come from the same committed snapshots as the website, and every file links back
to its pinned upstream source. llms.txt documents the endpoints and filters.
Sponsored by Modem.
Original project code and authored documentation are available under the MIT License. Copyright (c) 2026 Modem Labs Inc.
Bundled upstream files, excerpts, fonts, and third-party assets retain their own terms; see third-party licensing.