Borrowing it
Nothing to install: this file belongs to adriannoes/awesome-agentic-ai. 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/adriannoes/awesome-agentic-ai/main/AGENTS.mdgit clone --depth 1 https://github.com/adriannoes/awesome-agentic-aiWrote 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/adriannoes/awesome-agentic-ai/agents-md)<a href="https://agentmods.dev/instructions/adriannoes/awesome-agentic-ai/agents-md"><img src="https://agentmods.dev/badge/instructions/adriannoes/awesome-agentic-ai/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/adriannoes/awesome-agentic-ai/agents-md"><img src="https://agentmods.dev/badge/instructions/adriannoes/awesome-agentic-ai/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 | $0.01544 | $0.01544 |
| Opus 5.5 | $0.00618 | $0.00618 |
| Sonnet 5.5 | $0.00309 | $0.00309 |
| Haiku 4.5 | $0.00154 | $0.00154 |
Grade A, and why
awesome-agentic-ai 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 7d 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Orientation for a coding agent opened on awesome-agentic-ai.
This repository is a knowledge hub, not an application. People connect an agent here to apply vendored skills and to study papers, textbooks, notebooks, and reports. There is no app to boot, no package to install for the hub itself, and no test suite for the PDFs.
Start here
| Need | Open |
|---|---|
| Human map and persona paths | README.md · docs/paths/ |
| Verified counts | docs/stats.md |
| Skill index | cursor-claude-codex/skills/README.md |
| Paper catalog | papers/README.md |
| How to add content | CONTRIBUTING.md |
If a number in prose disagrees with the tree, recount from the tree (for example find cursor-claude-codex/skills -name SKILL.md | wc -l) and update docs/stats.md plus README.md.
Snapshot (2026-10-09): 403 agent skills · 108 papers (11 themes) · 201 notebooks · 9 textbooks · 18 industry reports · 100 curated GitHub projects · 14 prompt snapshots · 21 n8n templates · 8 slash commands · 21 coding rules · 35 upstream sources · 36 OpenClaw agents · 5,380 OpenClaw skills (index snapshot).
Use a skill
Skills live under cursor-claude-codex/skills/. Each capability is a folder with a SKILL.md.
- Find the skill in the skills index, or search for
SKILL.md. - Read that
SKILL.mdin full before acting on the user's task. Thedescriptionin the frontmatter says when it applies. - Follow that file. Do not substitute a summary from the index.
- A nested
AGENTS.mdorCLAUDE.mdinside a skill package applies only to that package. This file governs the hub. - Do not edit a vendored skill unless the user asked to refresh, fix, or adapt that skill. Keep upstream attribution and license notes.
- Upstream pins and vendoring sources: cursor-claude-codex/references/upstream-repos-catalog.md.
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.
- 7d ago Changed · -4 lines · +81 tokens per session eb40f2628cef
- 21d ago First seen · 75 lines · 1,463 tokens per session scan A 637f9b48253f
awesome-agentic-ai AGENTS.md is an instructions file published in the GitHub repository adriannoes/awesome-agentic-ai (68 stars, last pushed 8d ago), licensed MIT. It adds 1,544 tokens to every session, about $0.0062 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 2026-09-27.
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.