Borrowing it
Nothing to install: this file belongs to zacharygcook/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/zacharygcook/agent-skills/master/AGENTS.mdgit clone --depth 1 https://github.com/zacharygcook/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/zacharygcook/agent-skills/agents-md)<a href="https://agentmods.dev/instructions/zacharygcook/agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/zacharygcook/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/zacharygcook/agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/zacharygcook/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 | $0.00373 | $0.00373 |
| Opus 5 | $0.00187 | $0.00187 |
| Sonnet 5 | $0.00075 | $0.00075 |
| Haiku 4.5 | $0.00037 | $0.00037 |
Grade A, and why
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 9d 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
Agent Skills Repository
This repository contains a small, public-facing collection of generally useful coding-agent skills.
- Keep installable packages under
skills/<skill-name>/with a requiredSKILL.md. - Keep YAML frontmatter limited to
nameanddescription; the name must match the directory. - Put client-specific discovery metadata under
agents/, detailed guidance underreferences/, deterministic helpers underscripts/, and reusable templates underassets/. - Keep skills agent-neutral unless a workflow inherently depends on a named tool or protocol.
- Do not add project names, personal machine paths, credentials, private operating data, vendor-bundled skills, or former-company material.
- Consolidate overlaps and avoid packages that merely duplicate a major platform's maintained tooling.
- Preserve explicit authorization gates for destructive, live, publishing, and external-state actions.
- Update
inventory/skills.jsonafter changing a package. - Treat
agent-readiness,no-bullshit,no-bullshit-launch,ralph-loop,ralph-sprint,ralph-status, andralph-reviewas generated flagship packages. Change their canonical standalone repositories, then usepython3 scripts/sync_flagship_skills.py update --skill <name> --source-root <path> --apply; never hand-edit their collection copies. - Keep
flagship-skills.lock.jsoncommitted. CI must reject package drift, untracked deletions/additions, and fingerprint mismatches. - Validate with
python3 scripts/validate_skills.py,python3 scripts/build_inventory.py --check,python3 scripts/sync_flagship_skills.py check, flagship tests, and Gitleaks. - Do not create a remote, publish, or make this repository public until the owner explicitly approves the review artifact.
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.
- 9d ago First seen · 17 lines · 373 tokens per session scan A 3f8b0711df12
agent-skills AGENTS.md is an instructions file published in the GitHub repository zacharygcook/agent-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 373 tokens to every session, about $0.0019 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 2026-08-31.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.