Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add xushuodasd/VIBE-Claude-Plugin --skill vibe-autopilotgit clone --depth 1 https://github.com/xushuodasd/VIBE-Claude-PluginWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/xushuodasd/vibe-claude-plugin/vibe-autopilot)<a href="https://agentmods.dev/skills/xushuodasd/vibe-claude-plugin/vibe-autopilot"><img src="https://agentmods.dev/badge/skills/xushuodasd/vibe-claude-plugin/vibe-autopilot/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/xushuodasd/vibe-claude-plugin/vibe-autopilot"><img src="https://agentmods.dev/badge/skills/xushuodasd/vibe-claude-plugin/vibe-autopilot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00027 | $0.02873 |
| Opus 5.5 | $0.00011 | $0.01149 |
| Sonnet 5.5 | $0.00005 | $0.00575 |
| Haiku 4.5 | $0.00003 | $0.00287 |
Grade A, and why
vibe-autopilot scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
自动驾驶工作流 (Autopilot 24/7)
1. 文档目的
赋予 AI “全自动、不间断”的执行能力。在需求沟通阶段充分提问与确认,但一旦进入正式开发阶段,自动串联所有 VIBE 工作流(编码 -> 测试 -> 审查 -> 迭代),期间禁止停顿等待用户确认,自动采用最优解执行,直到最终交付。
2. 自动驾驶核心法则 (Smart Autopilot)
- 需求期充分沟通:在需求分析和架构设计阶段,必须主动向用户提问,澄清模糊点,确保方向完全正确。
- 开发期绝对静默 (NO HUMAN PAUSES):一旦需求确认并进入正式编码阶段(阶段二),禁止提问。除非遇到严重且无法自行解决的环境死锁,否则禁止使用“您看这样可以吗?”、“需要我继续吗?”等话术,遇到分支选择时直接采用最优解。
- 状态机依赖 (Document as State):禁止依赖大脑记忆!所有的进度、状态必须实时更新到
tasks.md中。如果感觉上下文变慢或混乱,主动提示用户使用/clear清理上下文,随后读取tasks.md即可满血复活。 - 事不过三熔断机制 (Circuit Breaker):在处理报错、跑测试或解决依赖冲突时,如果同一个问题连续尝试修复超过 3 次均失败,必须立即停止死磕!将该任务在
tasks.md中标记为[Blocked],记录原因,然后强制跳过,去执行下一个未完成的任务。
3. 24小时全链路循环引擎
当用户触发此工作流时,严格按照以下顺序执行:
阶段一:需求沟通与架构规划(允许且鼓励提问)
- 自动执行
vibe-analyze-req:当用户是从头开始一个全新项目时,触发此技能。与用户进行多轮对话,澄清项目背景、核心功能、UI 风格(如深色工业风)等细节。 - (如果是已有项目的新需求,则触发
vibe-analyze-new)。 - 生成核心文档:确认需求后,生成 PRD(需求文档),并自动执行
vibe-architecture和vibe-database生成架构与数据库文档。 - 自动执行
vibe-plan生成tasks.md(任务拆解清单)。 - 最后一次确认:向用户展示
tasks.md并询问“是否可以开始全自动开发?”。一旦用户同意,进入阶段二。
阶段二:无人值守编码循环 (Subagent-Driven Loop - 开发期绝对静默)
由于 AI 上下文窗口有限,对于 tasks.md 中的复杂任务,必须采用**子智能体分发(Subagent Delegation)**策略。
读取 tasks.md 中的任务,针对每一个未完成的最小模块任务执行以下死循环(全自动,零打断,遇问题按最优解自动处理):
- 工作树隔离 (Git Worktree / Branching):在开始新任务前,建议在一个新的 Git 分支上进行开发,确保主分支的安全。
- API契约校验:确认该模块对应的 API 文档已存在,严格按照 API 文档的入参/出参约束进行开发。
- 最小模块编码 (企业级分层):
- 隔离上下文,仅针对当前最小模块生成代码。
- 严格遵循企业级规范(前端:Components/Hooks/API Clients;后端:Controller/Service/Repository)。
- 自动触发
vibe-frontend或vibe-backend。
- 测试与组装:编码完毕后,立即触发
vibe-test运行单元测试(RED-GREEN-REFACTOR),将通过测试的模块与其他模块进行组装。- 如果测试失败:自动修复代码,重新运行。
- 如果测试成功:进入下一步。
- 安全与质量:触发
vibe-security与vibe-review检查当前代码块。 - 美化(如果是前端任务):触发
vibe-ui-beautify注入工业风和“果汁感”动画。 - 打勾:在
tasks.md中将该任务标记为已完成[x],并提交代码 (Git Commit)。 - 继续:自动读取下一个
[ ]任务,重复阶段二,直至系统拼装完毕。
阶段三:自动交付与文档更新
- 端到端真机验证:所有任务完成后,触发
vibe-e2e启动项目、打开浏览器、逐页验证功能可用性。P0/P1 问题必须修复后才能继续交付。 - 自动触发
vibe-api-docs更新接口文档。 - 自动更新
AI_DEVELOPMENT_DOC.md记录本次无人值守开发过程中的踩坑和经验。 - 向用户输出最终的交付总结报告。
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 180 lines · 27 tokens per session scan A 9de35105d58a
vibe-autopilot is a skill published in the GitHub repository xushuodasd/VIBE-Claude-Plugin (4 stars, last pushed 4mo ago), licensed MIT. It adds 27 tokens to every session and 2,873 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
vibe-autopilot compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| vibe-autopilotxushuodasd/VIBE-Claude-Plugin | Skill | 4 | 4mo ago | MIT | A | 27 | Claude Code |
| importskullninja/coco-workflow | Skill | 7 | 23d ago | MIT | A | 26 | Claude Code |
| hotfixskullninja/coco-workflow | Skill | 7 | 23d ago | MIT | A | 36 | Claude Code |
| authoring-a-skillNew1Direction/korgex | Skill | 5 | 25d ago | MIT | A | 25 | Claude Code, Codex |
| skill-creatorcnfjlhj/ai-collab-playbook | Skill | 462 | 26d ago | none | A | 46 | Codex |
| academic-paper-helpercnfjlhj/ai-collab-playbook | Skill | 462 | 26d ago | none | A | 42 | Claude Code, Codex |
| paper-review-pipelinecnfjlhj/ai-collab-playbook | Skill | 462 | 26d ago | none | A | 63 | Claude Code, Codex |