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Agent Skill · 研究检索

autopilot(autopilot 搜索)

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。

autopilot 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,权限为操作浏览器;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 43,484。

总安装 979周安装 40GitHub Stars 8下载 317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:autopilot(autopilot 搜索)
来源仓库:https://github.com/phrazzld/claude-config
仓库路径:skills/autopilot
安装命令:
npx skills add https://github.com/phrazzld/claude-config --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/phrazzld/claude-config --skill autopilot

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。

autopilot 提供自动化任务和信息检索支持。适合在 Codex、Claude、Cursor、Gemini CLI 中查找自动化方案。可通过关键词快速定位候选结果。autopilot 属于研究检索类 Skill,可作为该场景下的辅助能力补充。安装前需确认是否会触发命令执行或文件操作。

建议结合具体业务流程调整自动化策略。

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/phrazzld/claude-config --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

    它需要操作浏览器,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/phrazzld/claude-config --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?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

autopilot 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。

autopilot 用的人多吗?

公开数据是累计安装 979 次,近一周安装 40 次,下载 317 次,GitHub 8 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?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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

  • 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
autopilot

autopilot 搜索 · 本页

9798操作浏览器未明确有提醒

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

/autopilot

Full delivery pipeline. From issue to merged PR in one command, or invoke sub-capabilities directly.

Routing

IntentSub-capability
Spec, plan, design a feature — "shape this", "write a spec"references/shape.md
Implement, code, TDD — "build this", "implement"references/build.md
Create/update a PR — "open PR", "create PR"Standalone /pr skill
Unblock, polish, simplify PR — "fix PR", "CI red", "simplify"Standalone /settle skill
Verify acceptance criteria — "verify ACs"references/verify-ac.md
Lint, typecheck, test gates — "check quality"references/check-quality.md
TDD enforcement, coverage — "test coverage"references/test-coverage.md
Visual evidence capture — "walkthrough"references/pr-walkthrough.md
Semantic commit workflow — "commit"references/commit.md
Issue lint/enrich/decompose — "issue"references/issue.md

If invoked as /autopilot [issue-id], run the full pipeline (below). If invoked as /build, /shape, etc., read the corresponding reference and follow it. If invoked as /pr-fix, /pr-polish, or /simplify, route to standalone /settle.

Role

Engineering lead running a sprint. Find work, ensure it's ready, delegate implementation, ship.

Objective

Deliver Issue $ARGUMENTS (or highest-priority eligible open issue) as a merged PR with tests passing, a clean dogfood QA pass, all reviews settled, and a walkthrough artifact that makes the merge case legible.

An open PR for that issue counts as the active delivery lane. Do not create a duplicate PR for the same issue unless you first surface and justify a superseding lane.

Latitude

  • Codex writes first draft of everything (investigation, implementation, tests, docs)
  • You orchestrate, review, clean up, commit, ship
  • Flesh out incomplete issues yourself (spec, design)
  • Never skip an issue because it's "not ready" — YOU make it ready
  • Own the lane end-to-end: if validation surfaces adjacent breakage or stale repo debt in scope of the ship gate, fix it or explicitly justify why it cannot be fixed in this lane
  • dogfood, agent-browser, and browser-use are available in this environment; use them for user-flow validation

LLM-First Implementation Rule (Mandatory)

When solving semantic problems (classification, prioritization, triage, intent mapping, AC/spec compliance), use LLM reasoning-first approaches.

Do not introduce heuristic-only semantic pipelines (regex ladders, keyword scorecards, static decision trees) when an LLM path is viable.

Deterministic logic is limited to strict mechanics: schema checks, exact parsing, permission/safety gates.

Priority Selection

Always work on the highest-priority eligible issue.

Eligibility comes first:

  • unassigned
  • not already marked In Progress
  • not already being worked by another autopilot run or open PR
  1. p0 > p1 > p2 > p3 > unlabeled
  2. Within tier: horizon/now > horizon/next > unlabeled
  3. Within same horizon: lower issue number first
  4. Scope, cleanliness, comfort don't matter after eligibility is satisfied

If the highest-priority issue is already assigned or already In Progress, skip it and move to the next eligible issue. Never steal claimed work.

Claim Discipline

Autopilot must claim work before shaping or coding.

  • Auto-pick mode: only select issues with no assignees, no In Progress status, no open PR, and no active autopilot lane already attached
  • Explicit issue mode: stop if the issue is owned by another operator, already has another open PR, or is otherwise being worked by another lane
  • Explicit issue mode may resume work already claimed by you, including an issue already assigned to you or already marked In Progress by your lane
  • Before /issue lint, assign the issue to yourself
  • Before /issue lint, mark the issue's project status as In Progress
  • If the issue is not in a project or the project has no Status field, attach it to the canonical delivery project first, then set Status
  • If assignment, project attach, or status mutation fails, stop before implementation and report the blocker explicitly

The point is single ownership. One issue should map to one active autopilot lane.

Workflow

  1. Find eligible issue —

- Explicit issue: inspect assignees, project status, and open PRs before doing anything else - Auto-pick: choose the highest-priority open issue that is unassigned, not In Progress, and has no open PR or active autopilot lane - If there are no open issues, stop and report that the queue is empty - If open issues exist but none are eligible, stop and report that all open work is already claimed - Preferred lane check: run python3 scripts/issue_lane.py --repo <owner/name> --issue <N> when the repo provides it - Fallback: query open PRs with gh pr list --state open --json number,title,body,headRefName,url

  1. Claim issue —

- Assign the issue to yourself - Ensure the issue is attached to the canonical delivery project - Mark the linked project item Status as In Progress - Re-read the issue and confirm the claim stuck before proceeding - If the issue is already claimed by your lane, treat this as resume and continue - If the issue is claimed by another lane, stop instead of competing

  1. Load context — Read project.md for product vision, domain glossary, quality bar
  2. Readiness gate — Run /issue lint $1:

- Score >= 70: proceed - Score 50-69: run /issue enrich $1 first, then re-lint - Score < 50: flag to user, attempt enrichment, re-lint - Never skip an issue because it scored low — YOU make it ready

  1. Intent gate — Ensure issue has ## Product Spec and ### Intent Contract. If missing, invoke /shape --spec-only $1 and re-check before coding.
  2. Design — Invoke /shape --design-only if no ## Technical Design section. If design contains a state machine or concurrent protocol, consider /formal-verify loop before proceeding to build.
  3. Build (TDD Enforced) — Invoke /build and require RED→GREEN evidence per acceptance criterion:

- RED: failing targeted tests before implementation - GREEN: same tests passing after implementation - If test harness is broken, stop and flag blocker (no implementation without explicit user bypass) - Delete compatibility scaffolding in greenfield/pre-user paths unless a real contract requires it

  1. Visual QA — If diff touches frontend files (app/, components/, *.css), run /visual-qa --fix. Fix P0/P1 before proceeding.
  2. Agentic QA — If diff touches prompts, model routing, tool schemas, or agent instructions, run /llm-infrastructure and inspect trace/eval coverage before shipping.
  3. Refine — /pr-fix --refactor, update docs inline, then run simplification pass:

- Mandatory when diff >200 LOC net: run /simplify — no exceptions - For smaller diffs: manual module-depth review + simplification edits using Ousterhout checks: shallow modules, information leakage, pass-throughs, and compatibility shims with no active contract - Optional accelerator: use an ousterhout persona/agent if the harness provides one

  1. Dogfood QA — Run automated QA against local dev server (see Dogfood QA section below). Iterate until no P0/P1 issues remain. Do not open a PR until QA passes. 11a. Verify ACs — Invoke verify-ac against the linked issue's ## Acceptance Criteria.
  • Honor explicit AC tags ([test], [command], [behavioral]) when present; otherwise let verify-ac choose the narrowest credible strategy from the diff and repo context
  • Retry UNVERIFIED checks once (2 attempts total)
  • If any AC remains UNVERIFIED after attempt 2: keep remediating the code, tests, or docs and rerun verify-ac; do not commit or ship while the gate is failing
  • Escalate to the user only when further progress is genuinely blocked after reasonable remediation attempts
  • PARTIAL may proceed only if no AC is UNVERIFIED, but it must be reported in the final handoff and PR body
  1. Walkthrough — Run /pr-walkthrough and produce the mandatory walkthrough package for the branch. Every PR needs an artifact, even if the change is internal or architectural.
  2. Commit — Create semantic commits for all remaining changes:

- Categorize files: commit, gitignore, delete, consolidate - Group into logical commits: feat:, fix:, docs:, refactor:, test:, chore: - Subject: imperative, lowercase, no period, ~50 chars. Body: why not what. - Run quality gates (lint, typecheck, test) before pushing - git fetch origin && git push origin HEAD (rebase if behind) - Never force push. Never push to main without confirmation.

  1. Ship — Open or update a live PR:

- Stage and commit any uncommitted changes with semantic message - Read linked issue from branch name or recent commits - Re-run python3 scripts/issue_lane.py --repo <owner/name> --issue <N> immediately before opening the PR when available - Otherwise re-run the in-flight gate immediately before opening the PR - If an open PR already exists for the branch, use gh pr edit, not gh pr create - If another open PR already exists for the same issue, stop and surface the duplication instead of creating a second lane - Load ../pr/references/pr-body-template.md and follow it - The Walkthrough section must link the artifact and name the persistent verification that protects the demonstrated path - PR body must contain all sections: - Why This Matters: Problem, value added, why now, issue link. This is top-of-line. - Trade-offs / Risks: Costs accepted, remaining concerns, why the trade is worthwhile. - Intent Reference: Copy/paste issue intent contract summary + link to source issue section. - Changes: Concise list of what was done. Key files/functions. - Alternatives Considered: Do nothing, credible alternative(s), and why current approach won. - Acceptance Criteria: From linked issue. Checkboxes. - Manual QA: Step-by-step verification. Commands, expected output. - What Changed: Mermaid flow chart for base branch, Mermaid flow chart for this PR, and a third Mermaid architecture/state/sequence diagram, plus explanation of why the new shape is better. - Before / After: Text description mandatory. Screenshots for UI changes. Use <details> for heavy evidence. - Test Coverage: Specific test files/functions. Note gaps. - Merge Confidence: Confidence level, strongest evidence, residual risk. - Keep deep sections under <details> where useful, but do not hide the topline significance/trade-off story - Use --body-file for gh pr create, gh pr edit, and PR comments - gh pr create --assignee phrazzld --body-file <path> - Add context comment if notable decisions were made - Opening or updating the PR creates the review lane. It does not mean the PR is review-clean. - If your final push, gh pr ready, or PR edit triggers async reviewers, do not post any "PR Unblocked" or "ready for merge" signal unless /pr-fix has passed its live settlement gate on that PR

  1. CI Gate — Wait for CI to complete on the PR.

- Poll with gh pr checks <PR> --watch or gh run list --branch <branch> --limit 1 - If any checks are red/failing: investigate root cause, fix, commit, push, then wait for CI again - Repeat until all checks pass - Do not proceed to review settlement while CI is red

  1. Review Settlement — Read every single PR review and comment. Think critically about each. For every review point, determine one of three dispositions:

- In scope: Fix it in the branch. Commit, push. Reply to the comment confirming the fix. - Valid but out of scope: Create a separate GitHub issue (or add to BACKLOG.md if the repo uses one). Reply to the comment linking the tracking item. - Invalid: Reply with clear reasoning for why the feedback doesn't apply. - Every review point gets a written response on the PR — none are silently ignored. - If fixes were pushed, return to step 15 (CI Gate) and re-verify before proceeding.

  1. Polish — Once CI is green and every review comment is addressed:

- Run /pr-polish - Run /simplify - If these generate changes, commit and push, then return to step 15 (CI Gate) to re-verify

  1. Merge — Once CI is green, all reviews are settled, and polish is complete:

- Squash merge via gh pr merge --squash - Never merge with failing checks - Never merge with unaddressed review comments

  1. Retro (Optional) — Only capture implementation signals when the repo already uses issue-scoped retro notes and the signal is worth keeping.

- Use one file per issue under .groom/retro/<issue>.md. - Never append to a shared .groom/retro.md; skip retro entirely instead of creating merge-hot churn for low-value notes. - If you do append, prefer the repo's issue-scoped retro command/path (for example /done append --issue...) rather than inventing a new shared log format.

Dogfood QA

Run before every PR. No exceptions.

/dogfood is an agent skill, not a shell binary. Invoke it as /dogfood.... Do not run dogfood --help or declare it unavailable based on shell PATH. Use agent-browser / browser-use for focused manual repro and follow-up verification.

Setup

# Start dev server if not already running
# Find existing server first
PORT=$(lsof -i :3000 -sTCP:LISTEN -t 2>/dev/null | head -1)
if [ -z "$PORT" ]; then
  bun dev:next &
  DEV_PID=$!
  sleep 10  # wait for compilation
fi

# Confirm it's up
curl -s -o /dev/null -w "%{http_code}" http://localhost:3000/

If port 3000 is taken by another project, use bun dev:next -- --port 3001 and adjust the target URL accordingly.

Run

/dogfood http://localhost:3000

Scope to the diff: if the issue only touches status pages, /dogfood http://localhost:3000 Focus on the status page and badge changes. For full-feature work, no scope restriction.

Issue Severity Gate

After /dogfood completes, read the report:

  • P0 or P1 issues → fix them, commit, re-run /dogfood on the affected area
  • P2 issues → fix if quick (<15 min), otherwise document in PR as known and create a follow-up issue
  • P3 issues / no issues → proceed to /pr

Never open a PR with unfixed P0 or P1 issues from the dogfood report.

Iteration Cap

If the same P0/P1 issue resurfaces after two fix attempts, stop, document the blocker, and flag to the user before proceeding. Don't loop indefinitely.

Teardown

# Kill the dev server if we started it
[ -n "$DEV_PID" ] && kill $DEV_PID 2>/dev/null || true

If the user's own dev server was already running (no $DEV_PID), leave it alone.

Parallel Refinement (Agent Teams)

After /build completes, parallelize the refinement phase:

TeammateTask
SimplifierRun code-simplifier agent, commit
Depth reviewerRun manual module-depth review, or ousterhout if available, commit
Doc updaterUpdate docs (README, ADRs, API docs), commit

Lead sequences commits after all teammates finish. Then dogfood QA, then /pr.

Use when: substantial feature with multiple refinement needs. Don't use when: small fix where sequential is fast enough.

If native batch dispatch is available in the harness (e.g. /batch), use it. Otherwise launch teammates sequentially with normal agent calls.

Stopping Conditions

Stop only if: issue explicitly blocked, build fails after multiple attempts, requires external action.

NOT stopping conditions: lacks description, seems big, unclear approach.

Output

Report: issue worked, spec status, design status, TDD evidence (RED/GREEN), dogfood QA summary (issues found/fixed), walkthrough artifact summary, commits made, PR URL, review comments settled (count + dispositions), and merge status.

Review Cadence

Agents accrete bloat when they keep extending stale mental models. Before each new sprint or major chunk:

  • Re-read the touched modules fully
  • Look for compatibility shims added only to preserve old structure
  • Simplify before adding the next layer

Harness Accelerator (Claude Code)

When this skill runs in Claude Code:

  1. In workflow step 8 (Refine), run /simplify after /pr-fix --refactor.
  2. In Parallel Refinement, use /batch to dispatch teammate tasks in one call when possible.

If either command is unavailable, use the portable fallback path already defined in the base skill.

平台分布

Codex

35.68%
按下载量换算113

Claude

31.86%
按下载量换算101

Cursor

18.45%
按下载量换算58

Gemini CLI

9.59%
按下载量换算30

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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