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 | $0.00945 | $0.00945 |
| Opus 5 | $0.00473 | $0.00473 |
| Sonnet 5 | $0.00189 | $0.00189 |
| Haiku 4.5 | $0.00094 | $0.00094 |
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 today.
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 — 38 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.
No evals, in any form
This repository has no eval concept and no files for one. No evals/ folder, no cases, no fixtures, no known-good and known-bad pairs, no runner, and no mention of any of it inside a 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.
Text only: a skill instructs, it never ships code
A skill folder holds SKILL.md plus references/, and nothing else. No scripts/, no templates/, no .mjs, .py, .sh, .ps1, .html, .json fixture, no binary, no file that exists to be executed or copied into the user's project. Markdown is the only format a skill ships.
The reason is where the work happens. An agent reading a skill knows its own platform, its own shell, its own language runtimes and what the user's repository already has; a file written here months ago knows none of that, and running it puts the author's code on someone else's machine. So a skill says what to check, what counts as a pass, what the thresholds are and what evidence to report — and the agent writes whatever it needs, in whatever language fits, or performs the check by reading.
This binds the wording too: a skill never prints a script for the reader to paste, never specifies a command-line interface, a flag set, a file layout for a checker, or the shape its output should take as code. A one-line shell command against a standard tool stays welcome where it is the clearest way to say what to look for; a program does not, however short. The line is what the block is for: code that is the subject being taught — what a typed error looks like in the reader's own codebase, the markup an accessible control needs, a configuration entry — is the skill's content and stays; a routine the reader is meant to run against their project is the thing this rule removes, and it is written as what to do instead.
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.
- today 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 (8 stars, last pushed today), licensed MIT. It adds 945 tokens to every session, about $0.0047 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 2026-09-13.
Other instructions, from other repositories
vscode buildNext.instructions.md
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