Borrowing it
Nothing to install: this file belongs to CHENyiru3/AI-Skills-Collections. 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/CHENyiru3/AI-Skills-Collections/master/AGENTS.mdgit clone --depth 1 https://github.com/CHENyiru3/AI-Skills-CollectionsWrote 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/chenyiru3/ai-skills-collections/agents-md)<a href="https://agentmods.dev/instructions/chenyiru3/ai-skills-collections/agents-md"><img src="https://agentmods.dev/badge/instructions/chenyiru3/ai-skills-collections/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/chenyiru3/ai-skills-collections/agents-md"><img src="https://agentmods.dev/badge/instructions/chenyiru3/ai-skills-collections/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 | $0.00596 | $0.00596 |
| Opus 5.5 | $0.00238 | $0.00238 |
| Sonnet 5.5 | $0.00119 | $0.00119 |
| Haiku 4.5 | $0.00060 | $0.00060 |
Grade A, and why
AI-Skills-Collections 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 6d 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 — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Guidelines
Project Structure & Module Organization
This repository is a catalog of AI agent skills. Each skill lives in a leaf directory and is discovered through SKILL.md.
agent/: coding-agent and protocol skills.document-skills/: Office, PDF, design, frontend, and artifact skills.Font_end/: website maintenance skills. Preserve this existing directory name.python-skills/: Python library engineering skills and supporting references.ai-ml-skills/: deep learning, LLM, and training skills.compbio-skills/: computational biology, single-cell, spatial, workflow, and database skills.writing/: academic writing, LaTeX, and Obsidian skills.docs/: catalog pages and guides.
Skill-local support files belong under references/, scripts/, assets/, or evals/.
Build, Test, and Development Commands
There is no global build step. Use lightweight validation:
rg --files -g 'SKILL.md' # list all skills
find . -name SKILL.md -print # verify skill file placement
python path/to/script.py --help # smoke-test changed helper scripts
For install checks, follow README.md and verify each installed leaf directory contains SKILL.md.
Coding Style & Naming Conventions
Write skill directories in lowercase kebab-case, for example python-skills/api-design/. Keep skills self-contained; avoid external file references unless intentional and documented.
SKILL.md files must start on line 1 with YAML frontmatter. Include at least name and a specific description that explains trigger conditions. Use concise Markdown, actionable steps, and relative paths.
Python helper scripts should be readable, typed where practical, and executable from their skill directory. Prefer the standard library unless a requirements file declares dependencies.
Testing Guidelines
No repository-wide test framework is configured. When changing a skill, manually validate the trigger description, referenced paths, and commands in examples. When changing scripts, run the smallest relevant smoke test, such as --help or a sample input. Add focused examples under references/ when behavior is non-obvious.
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.
- 6d ago First seen · 51 lines · 596 tokens per session scan A 9d10d717d2e7
AI-Skills-Collections AGENTS.md is an instructions file published in the GitHub repository CHENyiru3/AI-Skills-Collections (1 stars, last pushed 7d ago), licensed MIT. It adds 596 tokens to every session, about $0.0024 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 2026-10-02.
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