Borrowing it
Nothing to install: this file belongs to mhmdreza-rafiei/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/mhmdreza-rafiei/agent-tools/main/AGENTS.mdgit clone --depth 1 https://github.com/mhmdreza-rafiei/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/mhmdreza-rafiei/agent-tools/agents-md)<a href="https://agentmods.dev/instructions/mhmdreza-rafiei/agent-tools/agents-md"><img src="https://agentmods.dev/badge/instructions/mhmdreza-rafiei/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/mhmdreza-rafiei/agent-tools/agents-md"><img src="https://agentmods.dev/badge/instructions/mhmdreza-rafiei/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 | $0.01894 | $0.01894 |
| Opus 5 | $0.00947 | $0.00947 |
| Sonnet 5 | $0.00379 | $0.00379 |
| Haiku 4.5 | $0.00189 | $0.00189 |
Grade A, and why
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 9d 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agent-tools
A catalog of agent artifacts — agents, skills, rules, scripts, and profiles — packaged to be installable by agentry into any coding agent (Cursor, Claude Code, Codex, OpenCode, and 70+ more).
This file is context for agents (and humans) working on this repo. For using the catalog, see README.md.
Layout
agent-tools/
├── agents/ ← one .mdc file per agent, flat or one category deep
├── skills/ ← one folder per skill, with SKILL.md (+ optional references/)
├── rules/ ← one .mdc file per rule, flat or one category deep (global/, code/)
├── profiles/ ← one .yaml file per install bundle
├── scripts/ ← one folder per use-case, with README.md + runnable files
├── docs/ ← repo docs (proposals, etc.)
├── master/ ← default human PDFs + context/ for AI; not an agentry artifact
└── releases/ ← master.zip (download this, not the whole repo)
Agentry compatibility (non-negotiable)
agentry discovery only recognizes these shapes — anything else is invisible to the installer:
| Kind | Path | Notes |
|---|---|---|
| skill | skills/<name>/SKILL.md or skills/<category>/<name>/SKILL.md |
folder per skill; SKILL.md is the marker |
| agent | agents/<name>.mdc or agents/<category>/<name>.mdc |
.mdc extension required (not .md) |
| rule | rules/<name>.mdc or rules/<category>/<name>.mdc |
.mdc extension required |
| profile | profiles/<name>.yaml or profiles/<category>/<name>.yaml |
bundle of artifact refs |
| script | scripts/<name>/ or scripts/<category>/<name>/ |
folder with files (README.md, run.*, etc.) |
Categories are one level deep max. Singletons stay flat at the kind root (don't make a folder for one agent). Folders are lowercase, one word where possible (per the files-folders rule).
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.
- 9d ago First seen · 181 lines · 1,894 tokens per session scan A f05f2e3c0615
agent-tools AGENTS.md is an instructions file published in the GitHub repository mhmdreza-rafiei/agent-tools (5 stars, last pushed 21d ago), licensed MIT. It adds 1,894 tokens to every session, about $0.0095 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 2026-08-31.
Other instructions, from other repositories
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.
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.
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).
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).
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.
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.