Borrowing it
Nothing to install: this file belongs to khasky/awesome-agent-skills. 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/khasky/awesome-agent-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/khasky/awesome-agent-skillsWrote 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/khasky/awesome-agent-skills/agents-md)<a href="https://agentmods.dev/instructions/khasky/awesome-agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/khasky/awesome-agent-skills/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/khasky/awesome-agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/khasky/awesome-agent-skills/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 | $0.01857 | $0.01857 |
| Opus 5.5 | $0.00743 | $0.00743 |
| Sonnet 5.5 | $0.00371 | $0.00371 |
| Haiku 4.5 | $0.00186 | $0.00186 |
Grade A, and why
awesome-agent-skills 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 19d 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Rules for this repository, on top of whatever global guidance an agent already loads.
Examples in a skill are abstract, never real
A skill teaches a rule; it never carries a sample of anyone's actual work. Every example in SKILL.md and in references/ is a shape or a placeholder — what the sentence does, not the sentence itself.
Never a real post, a real account, a real person's text, a captured run, a screenshot of one, or anything copied from the author's own published writing. Two reasons, each sufficient: that material is private and does not belong in a published skill, and a sentence printed in a skill comes back verbatim in the next run's output.
Evals measure a description, and they live outside the skill
A rule a skill states is proved by reading it, and a check it prescribes is proved by running it on the work in hand. Neither settles the one question reading cannot reach: whether a description fires on the prompts it should and stays quiet on the ones it should not. With forty-odd skills whose boundaries touch each other, that is decided by measurement or it is not decided at all. So evals are allowed, on these terms.
A set lives where the convention puts it, inside the skill it measures. <skill>/evals/eval_queries.json holds the trigger set, <skill>/evals/evals.json the output cases. That is what the published practice specifies and what the tooling that runs these loops looks for, and a set that travels with its skill cannot drift away from the description it was written against. Those two filenames are the entire allowance: no third file, no files/ fixtures, nothing that executes. What an installed user gains is a few kilobytes of text that no run ever opens - the body still loads at activation, references/ still loads on demand, and evals/ is read by nobody but the maintainer measuring a description.
Run output is not repository content. Iterations, gradings, benchmarks, transcripts, and any input file a case needs stay outside the clone, in the agent's own scratch folder. They go stale the moment a model version moves, they carry whatever the run happened to read, and a committed fixture is the exact thing the first rule of this file forbids.
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.
- 19d ago Changed · +52 tokens per session 698b8801e8c3
- 1mo ago Changed · +57 tokens per session 0efe57945389
- 1mo ago Changed · +56 tokens per session 09cbdff38ce0
- 1mo ago Changed · +28 tokens per session a6f3012f1b47
- 1mo ago Changed · +16 lines · +451 tokens per session a3b338e28800
- 1mo ago Changed · +2 lines · +268 tokens per session 414713ece5b5
- 1mo ago First seen · 38 lines · 945 tokens per session scan A 409d2512fa5d
awesome-agent-skills AGENTS.md is an instructions file published in the GitHub repository khasky/awesome-agent-skills (31 stars, last pushed 17d ago), licensed MIT. It adds 1,857 tokens to every session, about $0.0074 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 2026-09-13.
awesome-agent-skills AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| awesome-agent-skills AGENTS.mdkhasky/awesome-agent-skills | Instructions file | 31 | 17d ago | MIT | A | 1,857 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |