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agents-md特工 MD

Agent Skill

agents-md 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。

总安装

97

周安装

4

GitHub Stars

公开资料未说明

下载量

32
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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:agents-md(特工 MD)
来源仓库:https://github.com/unentropy/skills
仓库路径:skills/agents-md
安装命令:
npx skills add unentropy/skills --skill "agents-md"
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。

AgentSkills.tonpx skills
npx skills add unentropy/skills --skill "agents-md"

简介

agents-md 用于发现并安装 AI 代理的技能模块。

  • 适用于 Codex、Claude、Cursor 和 Gemini CLI 中的技能扩展。
  • 通过 npx 命令从 unentropy/skills 仓库添加指定技能。
  • 安装前需确认宿主环境兼容性和网络连接正常。
  • 建议核对技能名称和仓库路径确保安装准确。agents-md 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

AGENTS.md Skill

Create effective AGENTS.md files that onboard AI agents to codebases.

Core Principles

1. AGENTS.md Is High-Leverage

AGENTS.md goes into every conversation with the agent. A bad line affects every task. Craft each line carefully.

2. Less Is More

  • Frontier models follow ~150-200 instructions reliably
  • Agent harnesses consume ~50 instructions in system prompts
  • More instructions = uniform degradation across ALL instructions
  • Target: <60 lines, <300 lines maximum

3. Universal Applicability Only

Include only what applies to EVERY task. Agents may ignore content deemed irrelevant to current task.

4. Agents Are In-Context Learners

Don't document what the agent can infer from code. Style, patterns, and conventions are learned from existing files.

5. Progressive Disclosure

Point to files instead of embedding everything. Let agents discover details when needed.

Structure Template

# AGENTS.md

## What This Is
[1-2 sentences: project purpose and type]

## Tech Stack
- **Runtime:** [e.g., Bun, Node, Python]
- **Framework:** [e.g., Astro, Next.js, Django]
- **Language:** [e.g., TypeScript strict mode]

## Quick Commands

[dev command] # [description] [build command] # [description] [test command] # [description] [lint command] # [description]


## Project Map

[directory tree with brief annotations]


## Key Conventions

- [Only non-obvious, universally-applicable conventions]
- [Things the agent cannot infer from code]

## Verification

[How to verify changes are correct - primary feedback mechanism]

What To Include

IncludeWhy
Project purpose (WHY)Agent needs to understand intent
Tech stack (WHAT)Core tools and runtime
Essential commands (HOW)Build, test, dev, lint
Project structure mapNavigation aid
Verification methodHow to confirm success
Non-obvious conventionsOnly what can't be inferred

What To Exclude

ExcludeWhy
Code style guidelinesAgent learns from existing code
Import patternsInferred from codebase
Formatting rulesUse linters, not LLMs
Detailed error handlingContext-dependent
Dependency descriptionsAgent reads package.json
Example code snippetsBecome stale quickly

Workflow

Creating New AGENTS.md

  1. Read package.json, config files, and 2-3 representative source files
  2. Identify: runtime, framework, language, key commands
  3. Map project structure (top-level directories only)
  4. Write draft using template above
  5. Review: Is every line universally applicable?
  6. Trim to essentials (<60 lines ideal)

Improving Existing AGENTS.md

  1. Read current AGENTS.md
  2. Check line count - if >100 lines, needs trimming
  3. Identify:

- Style guidelines (REMOVE - agent learns from code) - Linter-like rules (REMOVE - use actual linters) - Task-specific instructions (MOVE to separate docs) - Stale/outdated info (REMOVE)

  1. Verify remaining content is universally applicable
  2. Ensure WHAT/WHY/HOW structure is clear

Progressive Disclosure Pattern

For larger projects, keep AGENTS.md lean and point to detailed docs:

## Documentation

For detailed information, read these files when relevant:
- `docs/architecture.md` - System design and data flow
- `docs/testing.md` - Test patterns and fixtures
- `docs/deployment.md` - CI/CD and release process

Verification Checklist

Before finalizing, verify:

  • Under 60 lines (strongly preferred) or under 100 lines (acceptable)
  • Every line applies to ALL tasks
  • No code style rules (agent learns from code)
  • No formatting rules (use linters)
  • Commands are correct and runnable
  • Project map reflects current structure
  • Clear verification method specified

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenCode

64.99%
按下载量换算21

Claude Code

25.25%
按下载量换算8

安全审计

暂无安全审计结果可展示。

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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