awesome-agent-skills: Instructions file for Codex

AGENTS.md

awesome-agent-skills AGENTS.md is an instructions file for Codex, OpenCode from khasky/awesome-agent-skills. It costs 1,857 tokens per session, scanned A, original, MIT.

Repository instructions for the awesome-agent-skills project. They define how skills in that project should be written, including using abstract examples, avoiding evaluation files, and shipping text rather than code.

In plain words
What is it for?
It is for guiding agents that edit this repository, especially when adding examples, evaluation-related material, scripts, or other files.
Why use it?
Shared rules prevent private or real user material from being published and keep the repository's skills consistent. They also clarify what belongs in a skill folder.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions .claude-plugin; mentions Claude Code; mentions AGENTS.md.

This is khasky/awesome-agent-skills's own configuration. It tells Codex and OpenCode how to work on awesome-agent-skills itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything awesome-agent-skills configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/khasky/awesome-agent-skills/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/khasky/awesome-agent-skills

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for awesome-agent-skills AGENTS.md

README.md
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Your own site
<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.

agentmods 80×15 button for awesome-agent-skills AGENTS.md

Your own site · 80×15
<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>
Per session 1,857 This file is loaded in full into every session.
When invoked 1,857 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 19d ago against content hash 698b8801e8c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

AGENTS.md · 56 lines

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.

Read the full file on GitHub · 56 lines

Changes

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.

  1. 19d ago Changed · +52 tokens per session 698b8801e8c3
  2. 1mo ago Changed · +57 tokens per session 0efe57945389
  3. 1mo ago Changed · +56 tokens per session 09cbdff38ce0
  4. 1mo ago Changed · +28 tokens per session a6f3012f1b47
  5. 1mo ago Changed · +16 lines · +451 tokens per session a3b338e28800
  6. 1mo ago Changed · +2 lines · +268 tokens per session 414713ece5b5
  7. 1mo ago First seen · 38 lines · 945 tokens per session scan A 409d2512fa5d

Subscribe to this mod's changes

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.

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deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode