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Agent Skill · 研究检索

runbook(runbook 搜索)

runbook 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。

runbook 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,权限为可写文件;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 70,834。

总安装 198周安装 8GitHub Stars 1下载 62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:runbook(runbook 搜索)
来源仓库:https://github.com/synapseradio/ai-skills
仓库路径:skills/runbook
安装命令:
npx skills add https://github.com/synapseradio/ai-skills --skill runbook
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/synapseradio/ai-skills --skill runbook

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。

runbook 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词快速定位候选结果时使用。适用于操作流程查询、故障处理指南或标准作业程序(SOP)检索等研究检索类任务场景。通过关键词、任务描述或来源线索触发检索,返回结构化候选信息供进一步核验。

安装命令为 npx skills add https://github.com/synapseradio/ai-skills --skill runbook。使用前建议确认权限范围、维护状态,以及是否会触发联网或文件读写操作。

来源仓库内路径:skills/runbook

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/synapseradio/ai-skills --skill runbook;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

    它需要可写文件,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

runbook 怎么安装?

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

runbook 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。

runbook 需要什么权限?

权限级别是可写文件。该 Skill 可能写入或修改本地文件,使用前需要确认目标目录和修改范围。

runbook 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。

runbook 用的人多吗?

公开数据是累计安装 198 次,近一周安装 8 次,下载 62 次,GitHub 1 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。

runbook 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
runbook

runbook 搜索 · 本页

1981可写文件未明确有提醒

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

Runbook

Facilitate a structured alignment conversation, then produce the artifacts that seed an autonomous loop. The conversation surfaces intent; the artifacts encode it for unattended execution.

Two Phases

Track progress through alignment, gate check, seeding, and deployment using available task tracking tools.

Phase 1 — Alignment. Open-ended dialogue to decompose the user's intent into a concrete lens: what the loop looks for, what authority it consults, what scope it covers, what behavioral boundaries apply, and what success looks like. Actively probe for risks and no-gos.

Phase 2 — Seeding. Enter plan mode. Write the complete runbook artifacts (FOCUS.md, TASKS.md, LEARNINGS.md, loop prompt) into the plan file as a self-contained execution spec. Exit plan mode for user review. The plan must stand alone — a fresh session reads it and creates the files mechanically, with no alignment context.

Context Loading

Load references only when the current phase needs them.

PhaseLoadDo NOT Load
Alignmentreferences/alignment-guide.mdseeding-guide, loop-prompt, checklist
Gate checkreferences/checklist.mdalignment-guide, seeding-guide
Seedingreferences/seeding-guide.md, references/loop-prompt.mdalignment-guide, checklist

Phase 1: Alignment

Load references/alignment-guide.md and follow its protocol.

The alignment conversation surfaces seven elements:

  1. What — the work, decomposed to the level where a single lens applies
  2. Why — the motivation, so discovery can prioritize
  3. Lens — what the loop looks for or builds toward (feature requirements, style compliance, design improvements, security, performance, migration targets)
  4. Authority — what reference the loop consults (a PRD, design spec, style guide, issue tracker, architecture doc)
  5. Scope — directories, files, or areas in and out of bounds
  6. Success — what "done" looks like, concretely
  7. Mode — tight loop (default) or recursive decomposition (opt-in)

The alignment conversation also surfaces behavioral exclusions (no-gos) and risks as part of the scope and decomposition discussion. These are not separate elements — they emerge naturally from probing scope boundaries and hidden risks.

Use inline visualizations, scope diagrams, and AskUserQuestion for structured choices. Decompose vague intent into specific, testable goals.

Tight loop vs. recursive decomposition

Most work is a tight loop: one lens, one scope, grind until converged. This is the default.

Recursive decomposition is opt-in, for work that has independent sub-problems benefiting from separate lenses. When selected, the parent FOCUS.md seeds child FOCUS.md files, each scoped tighter. Children report outcomes upward via LEARNINGS.md. The parent aggregates.

Only propose recursive mode when the problem's structure demands it.

Exit conditions

Apply all three, in order:

  1. Convergence detection. Notice when questions stop producing new constraints. State this observation explicitly.
  2. Checklist gates. Load references/checklist.md. Validate every gate. Present pass/fail to the user.
  3. Explicit approval. Halt and request confirmation before seeding. Never seed without the user's "go."

Phase 2: Seeding

Load references/seeding-guide.md and references/loop-prompt.md.

Before entering plan mode, ask the user for:

  • Target directory for artifacts (FOCUS.md, TASKS.md, LEARNINGS.md)
  • Deployment preference (CronCreate with interval, save to file, display)

Enter plan mode. Write the plan file following the structure in references/seeding-guide.md. The plan file contains:

SectionContent
ContextWhy this loop exists — motivation and intended outcome
FOCUS.md → pathComplete FOCUS.md with all sections populated
TASKS.md → pathEmpty board skeleton
LEARNINGS.md → pathEmpty structured memory
Loop promptComplete prompt from references/loop-prompt.md
DeploymentUser's chosen deployment method

Exit plan mode for user review.

Nothing from the alignment conversation survives as conversational residue in the plan. The plan reads as if written by someone who already knew the requirements.

Rules

  1. Alignment is a conversation, not a form. Explore, reflect, let the user correct. Do not interrogate with a checklist upfront.
  2. Never seed without explicit approval. Checklist gates are necessary but not sufficient. The user's confirmation is the hard stop.
  3. Conversation content is ephemeral. Explanations, diagrams, and AskUserQuestion interactions from Phase 1 do not appear in the plan file. The plan stands alone.
  4. Default to tight loop. Only propose recursive decomposition when sub-problems are clearly independent.
  5. LEARNINGS.md is append-only. The loop writes, the user reads. Never overwrite or delete entries.
  6. Scope belongs in FOCUS.md, not the prompt. Keep the loop prompt generic. Keep specifics in the lens file.
  7. Resist adding machinery. If something can be a line in FOCUS.md instead of a feature in the prompt, put it in FOCUS.md.

Additional Resources

Reference Files

  • references/alignment-guide.md — Conversation protocol for Phase 1: decomposition techniques, question patterns, visualization approaches
  • references/checklist.md — Structured gate validating alignment completeness before seeding
  • references/seeding-guide.md — Artifact templates and production instructions for FOCUS.md, TASKS.md, LEARNINGS.md
  • references/loop-prompt.md — The autonomous loop prompt template, customizable per runbook

平台分布

Codex

33.34%
按下载量换算21

Claude

30.94%
按下载量换算19

Cursor

19.89%
按下载量换算12

Gemini CLI

9.9%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

可写文件

该 Skill 可能写入或修改本地文件,使用前需要确认目标目录和修改范围。

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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