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Agent Skill · AI 工具

agent-init(Agent 初始化)

agent-init 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

agent-init 是AI 工具类 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;许可证为 MIT,第三方扫描已通过,按安装量在AI 工具类的 2,536 个 Skill 里排第 1,999。

总安装 367周安装 15GitHub Stars 2下载 118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
MIT

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:agent-init(Agent 初始化)
来源仓库:https://github.com/dyxushuai/agent-skills
仓库路径:skills/agent-init
安装命令:
npx skills add https://github.com/dyxushuai/agent-skills --skill agent-init
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/dyxushuai/agent-skills --skill agent-init

这个 Skill 是做什么的

AI 工具类 Skill 用来扩展助手本身的能力,例如接模型、接检索、接外部服务。

Agent 初始化技能用于提供 AGENTS.md 文件的重复工作流程和质量标准,确保代理获得具体指令。适用于创建或更新 AGENTS.md 文件,包括测试命令和构建步骤的文档化。通过 GitHub 仓库安装,使用 npx skills add 命令加载,需参考原始 README 了解详细配置。

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。注意该技能涉及可执行命令和代码示例,需确保准确性和安全性。

来源仓库内路径:skills/agent-init

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/dyxushuai/agent-skills --skill agent-init;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

agent-init 怎么安装?

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

agent-init 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。

agent-init 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。

agent-init 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

agent-init 用的人多吗?

公开数据是累计安装 367 次,近一周安装 15 次,下载 118 次,GitHub 2 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。

agent-init 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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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。
  • 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AI 工具类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

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。
  • 需要厂商级技术支持和 SLA 的生产系统。

AI 工具类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
executing-plans

执行计划 · Codex、Claude

1,515,336173,110只读MIT通过
verification-before-completion

完成前的验证 · Codex、Claude

1,319,472173,121权限未标注MIT通过
subagent-driven-development

子 Agent 驱动开发 · Codex、Claude

1,312,416173,138只读MIT通过
copy-editing

复制编辑 · Codex、Claude

1,209,57625,632只读MIT通过
paywall-upgrade-cro

付费专区升级 cro · Codex、Claude

1,030,17625,617只读MIT通过
agent-init

Agent 初始化 · 本页

3672接触敏感数据MIT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

AGENTS.md Guide

Overview

Provide a repeatable workflow and quality bar for writing or updating AGENTS.md files so agents receive concrete, repo-specific instructions.

Trigger examples

  • "Create an AGENTS.md for this repo and include exact test commands."
  • "Replace our agent init command with a proper AGENTS.md file."
  • "Audit our existing AGENTS.md for missing boundaries and commands."
  • "Update AGENTS.md to reflect the current build and lint commands."
  • "Create CLAUDE.md as a symlink to AGENTS.md for Claude Code."

Core Principles (condensed)

  • Be concrete: prefer executable commands and code examples over prose.
  • Put commands early and include flags/options.
  • Use real code examples over explanations.
  • Remove ambiguity: state boundaries and non-goals explicitly.
  • Be specific about the tech stack; include versions and key dependencies.
  • Define the agent's role/persona and how it fits the team.
  • Cover the six core areas: purpose, code organization, run/test/validate, change management, dependencies/environment, and avoid list.
  • Use three-tier boundaries: Always / Ask first / Never.
  • Start small and iterate as the repo evolves.

Brainstorming Mode (divergent Q&A)

Use this mode when requirements are unclear or the repo structure will influence the document shape.

  • Ask one question at a time. Prefer multiple choice when possible.
  • Base questions on the actual repo shape (single app vs monorepo).
  • Confirm which agents will consume the docs and their expectations.
  • If Claude Code is in scope, plan a CLAUDE.md symlink to AGENTS.md.
  • Ask for exact commands (with flags) and a real code example.
  • Propose 1-2 AGENTS.md layouts (section order) with tradeoffs, then converge.
  • Keep questions short and actionable, then confirm before drafting.
  • Read references/agents-md-brainstorm.md for question banks and decision heuristics.

Workflow

1) Clarify scope and placement

  • Confirm whether the task is to create new docs or revise existing ones.
  • Default output is root AGENTS.md.
  • If the user asks for a different location, confirm the exact path and proceed.
  • If Claude Code is in scope, create CLAUDE.md as a symlink to AGENTS.md.
  • Still maintain a single AGENTS.md (no per-agent files unless explicitly requested).
  • Confirm which agents will consume the docs and align content with their workflows.
  • If the repo uses a different location or filename, ask before proceeding.

2) Gather repo-specific facts

Collect only what will make the file actionable:

  • Stack and versions (language/runtime/package manager).
  • Key directories and ownership.
  • Build, test, lint, and format commands.
  • Environment variables, secrets, and local setup details.
  • Git/PR expectations (branching, commit style, approvals).

2a) Shape the doc by repo structure

  • If monorepo, add per-app or per-team sections inside AGENTS.md.
  • If multiple roles are needed, use role-specific subsections inside AGENTS.md.
  • If the repo is small, keep a single concise AGENTS.md.
  • If a multi-file layout is requested, confirm the target paths before writing.

3) Draft with the six core areas

Write sections that map to the six core areas, keeping each section short and command-focused. Use the template if needed.

4) Add concrete commands and examples

  • Prefer copy/paste commands over prose.
  • Include example file paths and typical change patterns.
  • Show expected outputs if ambiguity is likely.
  • Include at least one real code example that matches repo style.

5) Add boundaries and safety

State what the agent must not do, what requires approval, and any data/credential constraints.

6) Review for clarity

  • Eliminate vague statements ("run tests" -> specify the exact command).
  • Ensure every requirement is tied to a command, path, or policy.
  • Keep it short enough to scan quickly.

Output Requirements

Include, at minimum:

  • Role/purpose of the agent and its scope.
  • Repo map (key paths, entry points, ownership).
  • Run/test/validate commands (copyable, placed early, include flags).
  • Tech stack with versions and key dependencies.
  • Change management rules (branching, commits, PR expectations).
  • Dependencies and environment setup.
  • Code style example (real snippet).
  • Explicit avoid list and approval gates with Always / Ask first / Never.

Cross-agent compatibility

  • Keep instructions in plain Markdown with explicit commands and paths.
  • Avoid agent-specific fields or features unless the target agent requires them.
  • Keep a single root AGENTS.md as the source of truth.
  • If Claude Code is in scope, create CLAUDE.md as a symlink to AGENTS.md.

Multi-platform support

  • Ask which agents are in scope (Codex, Claude, GitHub Copilot, Cursor, etc.).
  • Use one shared AGENTS.md that works across those agents.
  • Do not assume tool-specific directories; only update AGENTS.md unless the user asks otherwise.
  • When showing examples, label tool-specific details as optional (not required).
  • If Claude Code is in scope, add a CLAUDE.md symlink to AGENTS.md.
  • If GitHub Copilot coding agent is in scope, consider adding .github/copilot-instructions.md and keep it minimal (ideally pointing to AGENTS.md as the source of truth).

References

  • Read references/agents-md-template.md when drafting a new file.
  • Read references/agents-md-example.md for a complete AGENTS.md example.
  • Read references/agents-md-checklist.md when reviewing or auditing an existing file.
  • Read references/agents-md-brainstorm.md when running a divergent Q&A gap analysis.

平台分布

Claude Code

30.05%
按下载量换算35

windsurf

24.25%
按下载量换算29

OpenCode

18.73%
按下载量换算22

Codex

12.64%
按下载量换算15

Antigravity

7.6%
按下载量换算9

Gemini CLI

3.13%
按下载量换算4

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。

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