Token导航 LogoToken导航

Agent Skill · 研究检索

create-agentsmd(创建 AgentMD)

create-agentsmd 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

create-agentsmd 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 573。

总安装 232,705周安装 9,975GitHub Stars 31,729下载 81,793核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:create-agentsmd(创建 AgentMD)
来源仓库:https://github.com/github/awesome-copilot
仓库路径:skills/create-agentsmd
安装命令:
npx skills add https://github.com/github/awesome-copilot --skill create-agentsmd
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/github/awesome-copilot --skill create-agentsmd

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

生成标准化 AGENTS.md 文件,以帮助 AI 编码代理理解并使用您的存储库。

提供模板驱动的方法来创建以代理为中心的文档,该文档通过技术设置、工作流程和测试说明来补充 README.md 涵盖重要部分,包括项目概述、设置命令、开发工作流程、测试、代码风格、构建/部署和 PR 指南 支持 monorepo 结构,并提供在多个级别创建 AGENTS.md 文件以及包之间导航的指导 兼容Cursor、Aider、Gemini CLI等20多种AI编码工具,遵循开放的agents.md格式标准

来源仓库内路径:skills/create-agentsmd

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/github/awesome-copilot --skill create-agentsmd;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

create-agentsmd 怎么安装?

在终端执行 npx skills add https://github.com/github/awesome-copilot --skill create-agentsmd。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

create-agentsmd 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

create-agentsmd 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

create-agentsmd 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

create-agentsmd 用的人多吗?

公开数据是累计安装 232,705 次,近一周安装 9,975 次,下载 81,793 次,GitHub 31,729 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

create-agentsmd 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 来源仓库有 31,729 星,维护活跃度相对可查。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
create-agentsmd

创建 AgentMD · 本页

232,70531,729接触敏感数据未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Create high‑quality AGENTS.md file

You are a code agent. Your task is to create a complete, accurate AGENTS.md at the root of this repository that follows the public guidance at https://agents.md/.

AGENTS.md is an open format designed to provide coding agents with the context and instructions they need to work effectively on a project.

What is AGENTS.md?

AGENTS.md is a Markdown file that serves as a "README for agents" - a dedicated, predictable place to provide context and instructions to help AI coding agents work on your project. It complements README.md by containing detailed technical context that coding agents need but might clutter a human-focused README.

Key Principles

  • Agent-focused: Contains detailed technical instructions for automated tools
  • Complements README.md: Doesn't replace human documentation but adds agent-specific context
  • Standardized location: Placed at repository root (or subproject roots for monorepos)
  • Open format: Uses standard Markdown with flexible structure
  • Ecosystem compatibility: Works across 20+ different AI coding tools and agents

File Structure and Content Guidelines

1. Required Setup

  • Create the file as AGENTS.md in the repository root
  • Use standard Markdown formatting
  • No required fields - flexible structure based on project needs

2. Essential Sections to Include

Project Overview
  • Brief description of what the project does
  • Architecture overview if complex
  • Key technologies and frameworks used
Setup Commands
  • Installation instructions
  • Environment setup steps
  • Dependency management commands
  • Database setup if applicable
Development Workflow
  • How to start development server
  • Build commands
  • Watch/hot-reload setup
  • Package manager specifics (npm, pnpm, yarn, etc.)
Testing Instructions
  • How to run tests (unit, integration, e2e)
  • Test file locations and naming conventions
  • Coverage requirements
  • Specific test patterns or frameworks used
  • How to run subset of tests or focus on specific areas
Code Style Guidelines
  • Language-specific conventions
  • Linting and formatting rules
  • File organization patterns
  • Naming conventions
  • Import/export patterns
Build and Deployment
  • Build commands and outputs
  • Environment configurations
  • Deployment steps and requirements
  • CI/CD pipeline information

3. Optional but Recommended Sections

Security Considerations
  • Security testing requirements
  • Secrets management
  • Authentication patterns
  • Permission models
Monorepo Instructions (if applicable)
  • How to work with multiple packages
  • Cross-package dependencies
  • Selective building/testing
  • Package-specific commands
Pull Request Guidelines
  • Title format requirements
  • Required checks before submission
  • Review process
  • Commit message conventions
Debugging and Troubleshooting
  • Common issues and solutions
  • Logging patterns
  • Debug configuration
  • Performance considerations

Example Template

Use this as a starting template and customize based on the specific project:

# AGENTS.md

## Project Overview

[Brief description of the project, its purpose, and key technologies]

## Setup Commands

- Install dependencies: `[package manager] install`
- Start development server: `[command]`
- Build for production: `[command]`

## Development Workflow

- [Development server startup instructions]
- [Hot reload/watch mode information]
- [Environment variable setup]

## Testing Instructions

- Run all tests: `[command]`
- Run unit tests: `[command]`
- Run integration tests: `[command]`
- Test coverage: `[command]`
- [Specific testing patterns or requirements]

## Code Style

- [Language and framework conventions]
- [Linting rules and commands]
- [Formatting requirements]
- [File organization patterns]

## Build and Deployment

- [Build process details]
- [Output directories]
- [Environment-specific builds]
- [Deployment commands]

## Pull Request Guidelines

- Title format: [component] Brief description
- Required checks: `[lint command]`, `[test command]`
- [Review requirements]

## Additional Notes

- [Any project-specific context]
- [Common gotchas or troubleshooting tips]
- [Performance considerations]

Working Example from agents.md

Here's a real example from the agents.md website:

# Sample AGENTS.md file

## Dev environment tips

- Use `pnpm dlx turbo run where <project_name>` to jump to a package instead of scanning with `ls`.
- Run `pnpm install --filter <project_name>` to add the package to your workspace so Vite, ESLint, and TypeScript can see it.
- Use `pnpm create vite@latest <project_name> -- --template react-ts` to spin up a new React + Vite package with TypeScript checks ready.
- Check the name field inside each package's package.json to confirm the right name—skip the top-level one.

## Testing instructions

- Find the CI plan in the .github/workflows folder.
- Run `pnpm turbo run test --filter <project_name>` to run every check defined for that package.
- From the package root you can just call `pnpm test`. The commit should pass all tests before you merge.
- To focus on one step, add the Vitest pattern: `pnpm vitest run -t "<test name>"`.
- Fix any test or type errors until the whole suite is green.
- After moving files or changing imports, run `pnpm lint --filter <project_name>` to be sure ESLint and TypeScript rules still pass.
- Add or update tests for the code you change, even if nobody asked.

## PR instructions

- Title format: [<project_name>] <Title>
- Always run `pnpm lint` and `pnpm test` before committing.

Implementation Steps

  1. Analyze the project structure to understand:

- Programming languages and frameworks used - Package managers and build tools - Testing frameworks - Project architecture (monorepo, single package, etc.)

  1. Identify key workflows by examining:

- package.json scripts - Makefile or other build files - CI/CD configuration files - Documentation files

  1. Create comprehensive sections covering:

- All essential setup and development commands - Testing strategies and commands - Code style and conventions - Build and deployment processes

  1. Include specific, actionable commands that agents can execute directly
  2. Test the instructions by ensuring all commands work as documented
  3. Keep it focused on what agents need to know, not general project information

Best Practices

  • Be specific: Include exact commands, not vague descriptions
  • Use code blocks: Wrap commands in backticks for clarity
  • Include context: Explain why certain steps are needed
  • Stay current: Update as the project evolves
  • Test commands: Ensure all listed commands actually work
  • Consider nested files: For monorepos, create AGENTS.md files in subprojects as needed

Monorepo Considerations

For large monorepos:

  • Place a main AGENTS.md at the repository root
  • Create additional AGENTS.md files in subproject directories
  • The closest AGENTS.md file takes precedence for any given location
  • Include navigation tips between packages/projects

Final Notes

  • AGENTS.md works with 20+ AI coding tools including Cursor, Aider, Gemini CLI, and many others
  • The format is intentionally flexible - adapt it to your project's needs
  • Focus on actionable instructions that help agents understand and work with your codebase
  • This is living documentation - update it as your project evolves

When creating the AGENTS.md file, prioritize clarity, completeness, and actionability. The goal is to give any coding agent enough context to effectively contribute to the project without requiring additional human guidance.

平台分布

Codex

37.09%
按下载量换算30,337

Claude

26.87%
按下载量换算21,978

Cursor

20.06%
按下载量换算16,408

Gemini CLI

8.5%
按下载量换算6,952

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills