Borrowing it
Nothing to install: this file belongs to michielhdoteth/awesome-ai-agent-tools. 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/michielhdoteth/awesome-ai-agent-tools/main/AGENTS.mdgit clone --depth 1 https://github.com/michielhdoteth/awesome-ai-agent-toolsWrote 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/michielhdoteth/awesome-ai-agent-tools/agents-md)<a href="https://agentmods.dev/instructions/michielhdoteth/awesome-ai-agent-tools/agents-md"><img src="https://agentmods.dev/badge/instructions/michielhdoteth/awesome-ai-agent-tools/agents-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/michielhdoteth/awesome-ai-agent-tools/agents-md"><img src="https://agentmods.dev/badge/instructions/michielhdoteth/awesome-ai-agent-tools/agents-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 | $0.00554 | $0.00554 |
| Opus 5.5 | $0.00222 | $0.00222 |
| Sonnet 5.5 | $0.00111 | $0.00111 |
| Haiku 4.5 | $0.00055 | $0.00055 |
Grade A, and why
awesome-ai-agent-tools 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 21d 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides context for AI coding agents working with this repository.
What Is This Repo?
Awesome AI Agent Tools is an open-source library of installable AI agent components: skills, MCP servers, agent workflows, subagents, hooks, plugins, prompts, and tools curated from 100+ repositories.
Repository Structure
| Directory | What It Contains |
|---|---|
| skills/ | SKILL.md files: reusable instruction sets that teach AI agents new capabilities |
| mcps/ | Model Context Protocol server configs with install commands |
| loops/ | Agent workflow patterns with verification criteria |
| subagents/ | Specialized agent definitions with model routing |
| hooks/ | Claude Code hooks for security, automation, and quality |
| plugins/ | Extensions for Claude Code, OpenCode, Cursor, and 6 more platforms |
| prompts/ | Curated prompt collections and marketplace links |
| tools/ | CLI utilities that enhance agent capabilities |
Exact per-category counts live in each catalog.json and in the generated readme.md. Do not hardcode counts in hand-written docs: they go stale. The generator reads the catalogs and emits the counts.
Catalog Format
Each directory contains a catalog.json file with structured metadata:
{
"skills": [
{
"id": "skill-name",
"name": "Display Name",
"category": "Development",
"description": "What this skill does",
"githubUrl": "https://github.com/owner/repo",
"installCommand": "npx skills add owner/repo --skill skill-name"
}
]
}
How to Contribute
- Fork the repo
- Add your entry to the correct catalog.json
- Ensure JSON is valid:
cat skills/catalog.json | python3 -m json.tool - Submit a PR
See contributing.md for full details. It is also the agent contribution skill: give it to your AI agent and it handles everything.
Standards
- Skills follow the SKILL.md open standard
- MCP servers follow the Model Context Protocol
- All entries are validated by GitHub Actions on PR
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.
- 21d ago Changed · -1 lines · -10 tokens per session 34933263c79f
- 23d ago Changed · -3 tokens per session edae6512305c
- 24d ago Changed · +2 lines · +10 tokens per session 471eb2854700
- 1mo ago First seen · 65 lines · 557 tokens per session scan A a35bb1051224
awesome-ai-agent-tools AGENTS.md is an instructions file published in the GitHub repository michielhdoteth/awesome-ai-agent-tools (48 stars, last pushed yesterday), licensed CC0-1.0. It adds 554 tokens to every session, about $0.0022 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).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.