Borrowing it
Nothing to install: this file belongs to tomimor/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/tomimor/skills/main/AGENTS.mdgit clone --depth 1 https://github.com/tomimor/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/tomimor/skills/agents-md)<a href="https://agentmods.dev/instructions/tomimor/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/tomimor/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/tomimor/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/tomimor/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 | $0.02295 | $0.02295 |
| Opus 5.5 | $0.00918 | $0.00918 |
| Sonnet 5.5 | $0.00459 | $0.00459 |
| Haiku 4.5 | $0.00230 | $0.00230 |
Grade A, and why
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 26d 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 — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Instructions for AI agents working in this repo.
Repo structure
skills/
├── skills/ # All discoverable skills (own + vendor symlinks)
│ ├── miguel-review/ # Own skill (regular directory)
│ ├── impeccable -> ../vendor/impeccable/.claude/skills/impeccable # Vendor symlink
│ └── ...
├── vendor/ # Third-party skill repos (git submodules)
│ └── impeccable/ # pbakaus/impeccable
├── install.sh # Install script with vendor support + `--check` validator
├── README.md # Public catalog: every skill, badge count, vendor version table
├── index.html # GitHub Pages landing page: mirrors the README catalog
└── AGENTS.md # This file
~/.cursor/skills is a symlink to skills/. ~/.claude/skills is a real directory whose entries are per-skill symlinks back into skills/ -- Claude Code does not load skills from a symlinked top-level directory, so the per-skill symlinks are how it picks them up while live edits in this repo still take effect. Any skill directory (or symlink) inside skills/ with a SKILL.md is automatically available to agents in both Cursor and Claude Code.
Re-create the per-skill symlinks if anything drifts:
./install.sh --symlink --all --force --target ~/.claude/skills
Adding a new own skill
Own skills are skills you write and maintain yourself. They live as regular directories under skills/.
- Create the directory and SKILL.md:
skills/<skill-name>/
├── SKILL.md # Required
├── references/ # Optional -- detailed docs the agent reads on demand
│ └── some-reference.md
└── examples.md # Optional
- SKILL.md must have YAML frontmatter with
nameanddescription:
---
name: my-skill-name
description: >-
What this skill does and when to use it. Include trigger phrases
so the agent knows when to activate it. Use when the user mentions
X, Y, or Z.
---
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.
- 26d ago Changed · +3 lines · +70 tokens per session 2fc615f35cda
- 1mo ago Changed · +41 lines · +772 tokens per session f2835fb2f53d
- 2mo ago First seen · 144 lines · 1,453 tokens per session scan A fd0eb14f90f6
skills AGENTS.md is an instructions file published in the GitHub repository tomimor/skills (3 stars, last pushed 15d ago), licensed MIT. It adds 2,295 tokens to every session, about $0.0092 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.
skills AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| skills AGENTS.mdtomimor/skills | Instructions file | 3 | 15d ago | MIT | A | 2,295 | 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 |