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autopilotautopilot 搜索

Agent Skill

autopilot 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

1,763

周安装

72

GitHub Stars

26,833

下载量

570
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

unknown

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:autopilot(autopilot 搜索)
来源仓库:https://github.com/yeachan-heo/oh-my-codex
仓库路径:skills/autopilot
安装命令:
npx skills add https://github.com/yeachan-heo/oh-my-codex --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。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/yeachan-heo/oh-my-codex --skill autopilot

简介

用于查找、检索和筛选相关信息。autopilot 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 适合根据关键词或任务场景快速定位候选结果。
  • 可结合来源仓库和原始 README 核验具体用法。
  • 安装前建议确认权限范围和维护状态。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • 注意是否会触发联网、命令执行或文件读写。

SKILL.md

<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 /cancel at any time; progress is preserved for resume
  • If a deep-interview spec exists, use it as high-clarity phase input instead of re-expanding from scratch
  • If input is too vague for reliable expansion, offer/trigger $deep-interview first
  • Do not enter expansion/planning/execution-heavy phases until pre-context grounding exists; if fast execution is forced, proceed only with explicit risk notes
  • Apply the shared workflow guidance pattern: concise, evidence-dense progress and completion reporting, local overrides for the active workflow branch, persistent inspection/verification while the workflow depends on it, and automatic continuation for safe reversible steps. Ask only for material, destructive, or preference-dependent branches. </Execution_Policy>
  1. Phase 0 - Expansion: Turn the user's idea into a detailed spec

- If .omx/specs/deep-interview-*.md exists for this task: reuse it and skip redundant expansion work - If prompt is highly vague: route to $deep-interview for Socratic ambiguity-gated clarification - Analyst (THOROUGH tier): Extract requirements - Architect (THOROUGH tier): Create technical specification - Output: .omx/plans/autopilot-spec.md

  1. Phase 1 - Planning: Create an implementation plan from the spec

- Architect (THOROUGH tier): Create plan (direct mode, no interview) - Critic (THOROUGH tier): Validate plan - Output: .omx/plans/autopilot-impl.md

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

- LOW-tier executor/search roles: Simple tasks - STANDARD-tier executor roles: Standard tasks - THOROUGH-tier executor/architect roles: 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: Clear all mode state via OMX MCP tools on successful completion

- state_clear({mode: "autopilot"}) - state_clear({mode: "ralph"}) - state_clear({mode: "ultrawork"}) - state_clear({mode: "ultraqa"}) - Or run /cancel for clean exit

<Tool_Usage>

  • Before first MCP tool use, call ToolSearch("mcp") to discover deferred MCP tools
  • Use ask_codex with agent_role: "architect" for Phase 4 architecture validation
  • Use ask_codex with agent_role: "security-reviewer" for Phase 4 security review
  • Use ask_codex with agent_role: "code-reviewer" for Phase 4 quality review
  • Agents form their own analysis first, then consult Codex for cross-validation
  • If ToolSearch finds no MCP tools or Codex is unavailable, proceed without it -- never block on external tools </Tool_Usage>

State Management

Use omx_state MCP tools for autopilot lifecycle state.

  • On start: state_write({mode: "autopilot", active: true, current_phase: "expansion", started_at: "<now>", state: {context_snapshot_path: "<snapshot-path>"}})
  • On phase transitions: state_write({mode: "autopilot", current_phase: "planning"}) state_write({mode: "autopilot", current_phase: "execution"}) state_write({mode: "autopilot", current_phase: "qa"}) state_write({mode: "autopilot", current_phase: "validation"})
  • On completion: state_write({mode: "autopilot", active: false, current_phase: "complete", completed_at: "<now>"})
  • On cancellation/cleanup: run $cancel (which should call state_clear(mode="autopilot"))

Scenario Examples

Good: The user says continue after the workflow already has a clear next step. Continue the current branch of work instead of restarting or re-asking the same question.

Good: The user changes only the output shape or downstream delivery step (for example make a PR). Preserve earlier non-conflicting workflow constraints and apply the update locally.

Bad: The user says continue, and the workflow restarts discovery or stops before the missing verification/evidence is gathered.

<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, pause and redirect to $deep-interview 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 ~/.codex/config.toml:

[omx.autopilot]
maxIterations = 10
maxQaCycles = 5
maxValidationRounds = 3
pauseAfterExpansion = false
pauseAfterPlanning = false
skipQa = false
skipValidation = false

Resume

If autopilot was cancelled or failed, run /autopilot again to resume from where it stopped.

Recommended Clarity Pipeline

For ambiguous requests, prefer:

deep-interview -> ralplan -> autopilot
  • deep-interview: ambiguity-gated Socratic requirements
  • ralplan: consensus planning (planner/architect/critic)
  • autopilot: execution + QA + validation

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

Pipeline Orchestrator (v0.8+)

Autopilot can be driven by the configurable pipeline orchestrator (src/pipeline/), which sequences stages through a uniform PipelineStage interface:

RALPLAN (consensus planning) -> team-exec (Codex CLI workers) -> ralph-verify (architect verification)

Pipeline configuration options:

[omx.autopilot.pipeline]
maxRalphIterations = 10    # Ralph verification iteration ceiling
workerCount = 2            # Number of Codex CLI team workers
agentType = "executor"     # Agent type for team workers

The pipeline persists state via pipeline-state.json and supports resume from the last incomplete stage. See src/pipeline/orchestrator.ts for the full API.

Troubleshooting

Stuck in a phase? Check TODO list for blocked tasks, run state_read({mode: "autopilot"}), 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.

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

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

展示第三方安全扫描或审计结果

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

Codex

36.44%
按下载量换算208

Claude

29.34%
按下载量换算167

Cursor

19.93%
按下载量换算114

Gemini CLI

9.46%
按下载量换算54

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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