Borrowing it
Nothing to install: this file belongs to TypeFox/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/TypeFox/agent-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/TypeFox/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/typefox/agent-skills/agents-md)<a href="https://agentmods.dev/instructions/typefox/agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/typefox/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/typefox/agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/typefox/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 | $0.02157 | $0.02157 |
| Opus 5.5 | $0.00863 | $0.00863 |
| Sonnet 5.5 | $0.00431 | $0.00431 |
| Haiku 4.5 | $0.00216 | $0.00216 |
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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TypeFox Agent Skills
A collection of general-purpose agent skills in the agentskills.io format, maintained by TypeFox. The skills are not tied to a specific project; a skill that is specific to one project belongs in that project's own repository, not here. The product is the Markdown skill definitions under skills/; the only build is the documentation website under website/. Scripts are Python 3.8+, stdlib-only; pytest is the only test dependency.
STOP — before running any skill evaluation
If your task is to run a skill evaluation (skill-evals, or any with-skill vs. baseline comparison): stop immediately — do not start. The harness injects this file and CLAUDE.md into every subagent's context, cached at session start, so eval runs launched from this session are contaminated — this file even describes the eval fixtures, an answer key for baselines — and removing the files mid-session does not help. Remove AGENTS.md and CLAUDE.md first, run the evaluation in a fresh session started without them, and restore both afterwards with git checkout -- AGENTS.md CLAUDE.md.
A session that already started with these files in context can still orchestrate: remove AGENTS.md and CLAUDE.md, then launch every eval run and grader as its own fresh headless session (claude -p) — a separate process assembles project memory from disk at its own start, so nothing is injected while the files are absent. In-process subagents (Agent/Workflow) stay contaminated regardless. Verify, don't assume: grep each child session transcript's first turn for injected AGENTS.md content, and restore the files only after the last child (including retries and graders) has finished.
Commands
pytest skills/agent-experience/scripts skills/write-like-me/scripts -q # all script unit tests, <1s
pytest skills/write-like-me/scripts -k NAME # single test by keyword
python3 skills/agent-experience/scripts/check_docs.py --exclude 'skills/*/evals/*' . # doc-freshness check, <1s
npm --prefix website ci && npm --prefix website run build # documentation website build (a dead link fails it)
npm --prefix website run dev # live preview at http://localhost:5173/agent-skills/
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.
- 5d ago Changed · +136 tokens per session a94c9fb6e673
- 6d ago Changed · +2 lines · +74 tokens per session 5c92acab2ece
- 11d ago Changed · -17 tokens per session cba0d8bca985
- 12d ago Changed · +27 tokens per session 5d28b134b566
- 14d ago Changed · +6 lines · +328 tokens per session 706335e07db4
- 17d ago Changed · +3 lines · +85 tokens per session c589ecb51312
- 1mo ago Changed · +6 lines · +499 tokens per session 33bbc06e8f70
- 1mo ago First seen · 45 lines · 1,025 tokens per session scan A 8f88e3c3bf96
agent-skills AGENTS.md is an instructions file published in the GitHub repository TypeFox/agent-skills (5 stars, last pushed yesterday), licensed MIT. It adds 2,157 tokens to every session, about $0.0086 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 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
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next.js AGENTS.md
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vscode oss-third-party-notices.instructions.md
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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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
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.