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Agent Skill · AI 工具

autopilot(autopilot 搜索)

autopilot 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。

autopilot 是AI 工具类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;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 269。

总安装 8,514周安装 362GitHub Stars 32,019下载 2,983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:autopilot(autopilot 搜索)
来源仓库:https://github.com/yeachan-heo/oh-my-claudecode
仓库路径:skills/autopilot
安装命令:
npx skills add https://github.com/yeachan-heo/oh-my-claudecode --skill autopilot
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/yeachan-heo/oh-my-claudecode --skill autopilot

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。

autopilot 提供端到端的自主执行能力,从想法到可运行代码全程无需人工干预。适合用户希望完全放手、系统自动完成多阶段开发任务(规划、编码、测试、验证)的场景。通过识别用户意图关键词启动全自动化流程,并在完成后返回最终成果。使用前需明确任务边界,避免因范围过大导致资源浪费或不可控执行行为。

autopilot 属于AI 工具类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/autopilot

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/yeachan-heo/oh-my-claudecode --skill autopilot;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

    它需要执行命令,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

autopilot 怎么安装?

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

autopilot 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。

autopilot 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/yeachan-heo/oh-my-claudecode --skill autopilot;npx skills add yeachan-heo/oh-my-claudecode --skill "autopilot" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

autopilot 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。

autopilot 用的人多吗?

公开数据是累计安装 8,514 次,近一周安装 362 次,下载 2,983 次,GitHub 32,019 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。

autopilot 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

  • 需要执行命令,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

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
autopilot

autopilot 搜索 · 本页

8,51432,019执行命令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

<Use_When>

  • User wants end-to-end autonomous execution from an idea to working code
  • User says "autopilot", "auto pilot", "autonomous", "build me", "create me", "make me", "full auto", "handle it all", or "I want a/an..."
  • Task requires multiple phases: planning, coding, testing, and validation
  • User wants hands-off execution and is willing to let the system run to completion </Use_When>

<Do_Not_Use_When>

  • User wants to explore options or brainstorm -- use plan skill instead
  • User says "just explain", "draft only", or "what would you suggest" -- respond conversationally
  • User wants a single focused code change -- use ralph or delegate to an executor agent
  • User wants to review or critique an existing plan -- use plan --review
  • Task is a quick fix or small bug -- use direct executor delegation </Do_Not_Use_When>

<Why_This_Exists> Most non-trivial software tasks require coordinated phases: understanding requirements, designing a solution, implementing in parallel, testing, and validating quality. Autopilot orchestrates all of these phases automatically so the user can describe what they want and receive working code without managing each step. </Why_This_Exists>

<Execution_Policy>

  • Each phase must complete before the next begins
  • Parallel execution is used within phases where possible (Phase 2 and Phase 4)
  • QA cycles repeat up to 5 times; if the same error persists 3 times, stop and report the fundamental issue
  • Validation requires approval from all reviewers; rejected items get fixed and re-validated
  • Cancel with /oh-my-claudecode:cancel at any time; progress is preserved for resume </Execution_Policy>
  1. Phase 1 - Planning: Create an implementation plan from the spec

- If ralplan consensus plan exists: Skip — already done in the 3-stage pipeline - Architect (Opus): Create plan (direct mode, no interview) - Critic (Opus): Validate plan - Output: .omc/plans/autopilot-impl.md

  1. Phase 2 - Execution: Implement the plan using Ralph + Ultrawork

- Executor (Haiku): Simple tasks - Executor (Sonnet): Standard tasks - Executor (Opus): Complex tasks - Run independent tasks in parallel

  1. Phase 3 - QA: Cycle until all tests pass (UltraQA mode)

- Build, lint, test, fix failures - Repeat up to 5 cycles - Stop early if the same error repeats 3 times (indicates a fundamental issue)

  1. Phase 4 - Validation: Multi-perspective review in parallel

- Architect: Functional completeness - Security-reviewer: Vulnerability check - Code-reviewer: Quality review - All must approve; fix and re-validate on rejection

  1. Phase 5 - Cleanup: Delete all state files on successful completion

- Remove .omc/state/autopilot-state.json, ralph-state.json, ultrawork-state.json, ultraqa-state.json - Run /oh-my-claudecode:cancel for clean exit

<Tool_Usage>

  • Use Task(subagent_type="oh-my-claudecode:architect",...) for Phase 4 architecture validation
  • Use Task(subagent_type="oh-my-claudecode:security-reviewer",...) for Phase 4 security review
  • Use Task(subagent_type="oh-my-claudecode:code-reviewer",...) for Phase 4 quality review
  • Agents form their own analysis first, then spawn Claude Task agents for cross-validation
  • Never block on external tools; proceed with available agents if delegation fails </Tool_Usage>

<Escalation_And_Stop_Conditions>

  • Stop and report when the same QA error persists across 3 cycles (fundamental issue requiring human input)
  • Stop and report when validation keeps failing after 3 re-validation rounds
  • Stop when the user says "stop", "cancel", or "abort"
  • If requirements were too vague and expansion produces an unclear spec, offer redirect to /deep-interview for Socratic clarification, or pause and ask the user for clarification before proceeding </Escalation_And_Stop_Conditions>

<Final_Checklist>

  • All 5 phases completed (Expansion, Planning, Execution, QA, Validation)
  • All validators approved in Phase 4
  • Tests pass (verified with fresh test run output)
  • Build succeeds (verified with fresh build output)
  • State files cleaned up
  • User informed of completion with summary of what was built </Final_Checklist>

Optional settings in .claude/omc.jsonc (project) or ~/.config/claude-omc/config.jsonc (user):

{
  "autopilot": {
    "maxIterations": 10,
    "maxQaCycles": 5,
    "maxValidationRounds": 3,
    "pauseAfterExpansion": false,
    "pauseAfterPlanning": false,
    "skipQa": false,
    "skipValidation": false
  }
}

Resume

If autopilot was cancelled or failed, run /oh-my-claudecode:autopilot again to resume from where it stopped.

Best Practices for Input

  1. Be specific about the domain -- "bookstore" not "store"
  2. Mention key features -- "with CRUD", "with authentication"
  3. Specify constraints -- "using TypeScript", "with PostgreSQL"
  4. Let it run -- avoid interrupting unless truly needed

Troubleshooting

Stuck in a phase? Check TODO list for blocked tasks, review .omc/autopilot-state.json, or cancel and resume.

QA cycles exhausted? The same error 3 times indicates a fundamental issue. Review the error pattern; manual intervention may be needed.

Validation keeps failing? Review the specific issues. Requirements may have been too vague -- cancel and provide more detail.

Deep Interview Integration

When autopilot is invoked with a vague input, Phase 0 can redirect to /deep-interview for Socratic clarification:

User: "autopilot build me something cool"
Autopilot: "Your request is open-ended. Would you like to run a deep interview first?"
  [Yes, interview first (Recommended)] [No, expand directly]

If a deep-interview spec already exists at .omc/specs/deep-interview-*.md, autopilot uses it directly as Phase 0 output (the spec has already been mathematically validated for clarity).

3-Stage Pipeline: deep-interview → ralplan → autopilot

The recommended full pipeline chains three quality gates:

/deep-interview "vague idea"
  → Socratic Q&A → spec (ambiguity ≤ 20%)
  → /ralplan --direct → consensus plan (Planner/Architect/Critic approved)
  → /autopilot → skips Phase 0+1, starts at Phase 2 (Execution)

When autopilot detects a ralplan consensus plan (.omc/plans/ralplan-*.md or .omc/plans/consensus-*.md), it skips both Phase 0 (Expansion) and Phase 1 (Planning) because the plan has already been:

  • Requirements-validated (deep-interview ambiguity gate)
  • Architecture-reviewed (ralplan Architect agent)
  • Quality-checked (ralplan Critic agent)

Autopilot starts directly at Phase 2 (Execution via Ralph + Ultrawork).

平台分布

Claude Code

30.31%
按下载量换算904

OpenCode

25.51%
按下载量换算761

Gemini CLI

16.98%
按下载量换算507

Antigravity

11.93%
按下载量换算356

Cursor

8.73%
按下载量换算260

Codex

4.05%
按下载量换算121

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/yeachan-heo/oh-my-claudecode --skill autopilot;npx skills add yeachan-heo/oh-my-claudecode --skill "autopilot" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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