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llm-skill: Instructions file for Codex

AGENTS.md

llm-skill AGENTS.md is an instructions file for Codex, OpenCode from hanyuancheung/llm-skill. It costs 485 tokens per session, scanned A, original, MIT.

Startup instructions for the llm-skill project, which provides skills and workflows for Codex, an AI coding agent.

In plain words
What is it for?
Use them when loading the project, installing it into a workspace, validating its layout, or choosing the correct skill instructions.
Why use it?
They tell Codex which files are authoritative, how to route requests, and how to install and validate the project.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md; mentions Codex.

This is hanyuancheung/llm-skill's own configuration. It tells Codex and OpenCode how to work on llm-skill 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 llm-skill configures →

not rated 23repo 6mo ago A scan 485 tokens original MIT
View source ↗ hanyuancheung/llm-skill
Reuse

Borrowing it

Nothing to install: this file belongs to hanyuancheung/llm-skill. 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/hanyuancheung/llm-skill/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/hanyuancheung/llm-skill

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.

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README.md
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/instructions/hanyuancheung/llm-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/hanyuancheung/llm-skill/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 485 This file is loaded in full into every session.
When invoked 485 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 $0.00485 $0.00485
Opus 5.5 $0.00194 $0.00194
Sonnet 5.5 $0.00097 $0.00097
Haiku 4.5 $0.00049 $0.00049

Measured 2mo ago against content hash 8ed66e942b6d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

llm-skill 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 2mo 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 · 50 lines

What it actually says

AGENTS.md — Codex entrypoint

This is the Codex runtime boot file for the llm-skill project. It is a thin shell. All routing, contract, and lifecycle rules live in AGENT.md. Do not add domain knowledge here.

What Codex should do on load

  1. Treat AGENT.md as the single source of truth. Read it first.
  2. Route via AGENT.md §2 Skill Registry. Do not scan skills/ directly.
  3. Respect the Execute → Distill → Guide loop defined in AGENT.md §1.
  4. Language: the default SKILL.md is English. If the user writes in Chinese, prefer SKILL_zh.md when it exists.

Install (Codex CLI)

The repo is drop-in for Codex. From the target workspace:

# Option A: use this repo as the project root
git clone <this-repo-url> .

# Option B: mount into an existing project
git clone <this-repo-url> .codex-skills
ln -s .codex-skills/AGENT.md ./AGENT.md
ln -s .codex-skills/AGENTS.md ./AGENTS.md
ln -s .codex-skills/skills    ./skills

Then validate:

bash install.sh           # verifies layout
python3 scripts/validate.py

Codex will pick up AGENTS.md automatically at session start.

Minimal contract for Codex

  • Read: AGENT.md, chosen skills/<name>/SKILL.md (lazy).
  • Write: skills/<name>/SKILL.md only via distill; AGENT.md only via guide.
  • Never: write domain knowledge into AGENTS.md itself.

Pointers

  • Schema and routing → AGENT.md
  • Meta-skills → skills/execute/, skills/distill/, skills/guide/
  • New skill scaffold → skills/_template/
  • Changelog → CHANGELOG.md
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. 2mo ago First seen · 50 lines · 485 tokens per session scan A 8ed66e942b6d

Subscribe to this mod's changes

llm-skill AGENTS.md is an instructions file published in the GitHub repository hanyuancheung/llm-skill (23 stars, last pushed 6mo ago), licensed MIT. It adds 485 tokens to every session, about $0.0019 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 2026-08-30.

Building agents
Related

llm-skill AGENTS.md compared with instructions from other repositories

llm-skill AGENTS.md next to 6 instructions from other repositories
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llm-skill AGENTS.mdhanyuancheung/llm-skillInstructions file236mo agoMITA485Codex, OpenCode
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deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode