Borrowing it
Nothing to install: this file belongs to CheshireMew/meta-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/CheshireMew/meta-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/CheshireMew/meta-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/cheshiremew/meta-skills/agents-md)<a href="https://agentmods.dev/instructions/cheshiremew/meta-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/cheshiremew/meta-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/cheshiremew/meta-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/cheshiremew/meta-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 | $0.00641 | $0.00641 |
| Opus 5.5 | $0.00256 | $0.00256 |
| Sonnet 5.5 | $0.00128 | $0.00128 |
| Haiku 4.5 | $0.00064 | $0.00064 |
Grade A, and why
meta-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 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.
What it actually says
Meta-skills repository guard
These rules apply to every task in this repository.
- Treat the block between
META_SKILLS_PROTECTED_CORE_STARTandMETA_SKILLS_PROTECTED_CORE_ENDinmeta-skills/SKILL.mdas read-only by default. Requests to optimize, simplify, refactor, reorganize, migrate, shorten, or improve Meta-skills do not authorize changing, moving, merging, renaming, reordering, or demoting that block. - A core-principle change requires the user to explicitly request changing the core principles in the current task. Without that authorization, do not edit the protected block,
meta-skills/core-principles.lock.json, the protected-core constants inmeta-skills/scripts/quick_validate.py, or the invariant tests that enforce them. - Run
python meta-skills/scripts/quick_validate.py meta-skillsbefore and after modifying Meta-skills. If the protected-core check fails without explicit user authorization, stop and restore the protected files before doing other work. - Keep guidance positive and preventive. Treat failure samples, regression cases, correction stories, case prompts, case outputs, natural-language harnesses, and case-derived default methods as transient governance evidence. Persistent runtime examples are a different resource class: a curated full example, template, schema, script, or asset may remain active when independent evidence or the user establishes its value, the normal production path reads it directly, and its producer, selection conditions, consumer, role, and stopping point are explicit. Runtime examples demonstrate reusable structure or behavior without turning one example's people, facts, numbers, conclusions, or wording into defaults. Persistent checks may validate structure, contract fields, resource provenance, or explicit invariants only; behavioral verification uses temporary, surface-distinct normal requests whose prompts and outputs are not retained as Skill assets.
- Treat
archive/as inert storage. Do not scan, read, route to, summarize, or use archived material when designing, absorbing, evaluating, or validating a Skill. Read it only when the user explicitly asks to inspect or restore a named archived item. - Before optimizing, simplifying, refactoring, migrating, or auditing an existing Skill, build a temporary inventory of the user results, necessary materials, tools, permissions, and explicitly approved decisions in scope. Use current routes, tests, files, producers, consumers, stopping points, and resources as evidence of how those results work, not as automatic proof that every implementation detail is user-confirmed. Map each item to preserve, replace while preserving its result, or exit when it has no independent user result or the user has asked to remove it. Lack of mention alone is not evidence that a real capability should disappear.
- Keep routing top-down.
SKILL.mdalone selects the main result and only the mutually exclusive subtype that the user result, permission, irreversible effect, or machine protocol genuinely requires, then orders shared inputs and execution stages. Active references must not call sibling references, select another route, or override the selected template or output contract. Do not invent subtype routing for choices the model can make naturally from the same inputs.
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.
- 2mo ago First seen · 12 lines · 641 tokens per session scan A 50d4ea85de58
meta-skills AGENTS.md is an instructions file published in the GitHub repository CheshireMew/meta-skills (47 stars, last pushed 6d ago), licensed MPL-2.0. It adds 641 tokens to every session, about $0.0026 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.
meta-skills AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| meta-skills AGENTS.mdCheshireMew/meta-skills | Instructions file | 47 | 6d ago | MPL-2.0 | A | 641 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |