Borrowing it
Nothing to install: this file belongs to EthanYoQ/Skill-hub. 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/EthanYoQ/Skill-hub/mine/AGENTS.mdgit clone --depth 1 https://github.com/EthanYoQ/Skill-hubWrote 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/ethanyoq/skill-hub/agents-md)<a href="https://agentmods.dev/instructions/ethanyoq/skill-hub/agents-md"><img src="https://agentmods.dev/badge/instructions/ethanyoq/skill-hub/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/ethanyoq/skill-hub/agents-md"><img src="https://agentmods.dev/badge/instructions/ethanyoq/skill-hub/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 | $0.03141 | $0.03141 |
| Opus 5.5 | $0.01256 | $0.01256 |
| Sonnet 5.5 | $0.00628 | $0.00628 |
| Haiku 4.5 | $0.00314 | $0.00314 |
Grade A, and why
Skill-hub 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 1mo 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 — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Agent 上传与维护规则
本文件写给 Agent 和人类贡献者。上传或修改 skill 前,先读这份文档。 它说明了仓库架构、命名规则、索引机制、上传 checklist 和脱敏要求。 读完你应该知道:skill 放哪个目录、SKILL.md 怎么写、上传后要更新哪些索引。
1. 仓库定位与双仓库关系
Skill-hub 是面向 Codex、Claude Code、Antigravity 等 Agent 的中文技能仓库。每个 skill 是一个目录,核心文件是 SKILL.md,让 AI 编程助手在相似任务中复用稳定流程。
本仓库(个人仓库)是单一事实源,组织仓库是选择性镜像(自动同步,但排除 .github/org-exclude.txt 列出的 skill):
| 仓库 | 地址 | 角色 | 可见性 | 贡献方式 |
|---|---|---|---|---|
| 个人仓库 | EthanYoQ/Skill-hub |
单一事实源(全部 skill) | public | 直接编辑 |
| 组织仓库 | Singularity-AI-Gamer/agent-skills |
选择性镜像(排除列表之外的 skill) | private | 通过个人仓库 PR,合并后自动镜像 |
镜像机制:个人仓库 push to mine 时,GitHub Actions 自动把排除列表之外的 skill 同步到组织仓库。新增 skill 默认同步;不想同步的两种方式:
- 傻瓜式(推荐):在 SKILL.md frontmatter 加
org-sync: false,创建 skill 时加一行即可 - 批量排除:加路径到
.github/org-exclude.txt(适合已有 skill 的批量管理)
朋友/团队成员通过个人仓库提 PR,合并后自动镜像到组织仓库。
2. 目录架构
skills/ # 共享技能,按能力域分组
|-- 01-agent-engineering/
|-- 02-coding-languages/
|-- 03-frameworks/
|-- 06-data-search/
|-- 07-media-content/
|-- 08-writing-marketing/
`-- 10-business-industry/
projects/ # 项目私有技能(仅特定项目使用)
_meta/ # 索引(机器可读 + 人类可读)
docs/ # 约定文档(本文件、命名约定、隐私脱敏)
scripts/ # 同步与索引重建脚本
assets/ # README 使用的图标
.github/workflows/ # CI:镜像到组织仓库
3. 能力域编号
新增 skill 时先确定归属能力域。编号保证 GitHub 文件浏览器按字母序展示时也保持分组顺序。
| 编号 | 目录名 | 包含什么 |
|---|---|---|
| 01 | 01-agent-engineering |
Agent 构建、调试、自治循环、harness、提示工程、skill 生命周期 |
| 02 | 02-coding-languages |
纯语言类(编码标准、patterns、testing),按语言分子目录 |
| 03 | 03-frameworks |
具体框架 / 技术栈(Next.js、Flutter、Netlify 等) |
| 06 | 06-data-search |
数据抓取、检索、搜索、深度研究 |
| 07 | 07-media-content |
PPT、视频、PDF、Excel、Word、图像、HTML 美化、设计 |
| 08 | 08-writing-marketing |
写作、公众号、品牌、SEO |
| 10 | 10-business-industry |
行业垂直(医疗、金融、法律、物流、能源) |
分类判断优先级:xxx-patterns / xxx-testing / xxx-security 这类名字,先看 xxx 是框架名(→ 03-frameworks/<框架>/)还是语言名(→ 02-coding-languages/<语言>/)。
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.
- 1mo ago First seen · 230 lines · 3,141 tokens per session scan A 2c757b9c5474
Skill-hub AGENTS.md is an instructions file published in the GitHub repository EthanYoQ/Skill-hub (11 stars, last pushed 10d ago), licensed MIT. It adds 3,141 tokens to every session, about $0.0126 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
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.