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Agent Skill · 研究检索

root-cause-analysis(根本原因分析)

root-cause-analysis 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。

root-cause-analysis 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,权限为只读;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 43,402。

总安装 988周安装 42GitHub Stars 15下载 346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:root-cause-analysis(根本原因分析)
来源仓库:https://github.com/markpitt/claude-skills
仓库路径:skills/root-cause-analysis
安装命令:
npx skills add https://github.com/markpitt/claude-skills --skill root-cause-analysis
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/markpitt/claude-skills --skill root-cause-analysis

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。

用于查找、检索和筛选相关信息。root-cause-analysis 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、任务场景或来源线索快速定位候选结果。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、维护状态及是否触发联网或文件读写。

注意该技能名为根本原因分析,但功能描述与其他检索类一致。

来源仓库内路径:skills/root-cause-analysis

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/markpitt/claude-skills --skill root-cause-anal…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

root-cause-analysis 怎么安装?

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

root-cause-analysis 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。

root-cause-analysis 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

root-cause-analysis 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。

root-cause-analysis 用的人多吗?

公开数据是累计安装 988 次,近一周安装 42 次,下载 346 次,GitHub 15 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。

root-cause-analysis 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

  • 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。
  • 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

  • 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
root-cause-analysis

根本原因分析 · 本页

98815只读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

Root Cause Analysis Orchestration Skill

This skill helps you systematically identify the root cause of any problem using proven methodologies from the Toyota Production System and other industry-standard techniques.

Quick Reference: When to Load Which Resource

Your Problem TypeLoad ResourceWhy
Need to understand 5 Whys, Fishbone, Pareto, Fault Tree methodologyresources/rca-methodologies.mdLearn each method step-by-step with examples
Looking for common root causes in your domainresources/common-root-causes.mdPattern match against known causes: software, hardware, process, personal
Want to see complete worked examplesresources/example-analyses.mdStudy real cases: software bugs, vehicle maintenance, system failures, personal problems
Advanced: need barrier analysis, complex cause mappingresources/advanced-techniques.mdFormal methods: Fault Tree, Barrier Analysis, multi-methodology chains

Core Principle

Do not treat symptoms—find and fix the root cause. As Taiichi Ohno, architect of the Toyota Production System, said: "By repeating why five times, the nature of the problem as well as its solution becomes clear."

Orchestration Protocol

Phase 1: Problem Classification

Quickly identify your problem domain and complexity:

Problem Domain:

  • Software: Code bugs, system failures, performance, deployment
  • Hardware: Equipment, mechanical, electrical, maintenance
  • Process: Workflow, procedures, organizational, communication
  • Personal: Life challenges, productivity, habits, wellbeing

Complexity Level:

  • Simple: Clear failure chain, 1-2 likely causes → Use 5 Whys
  • Complex: Multiple possible causes, unknown scope → Start with Fishbone
  • Critical/Safety: High stakes, needs rigor → Use Fault Tree
  • Multiple Issues: Many competing problems → Use Pareto first

Action: Load appropriate resource file(s) based on classification.

Phase 2: Methodology Selection

Based on problem type, select your approach:

SituationRecommendedLoad
Single clear failure5 Whysmethodologies.md
Complex/multiple possibilitiesFishbone → 5 Whysmethodologies.md
Competing prioritiesPareto → 5 Whysmethodologies.md
Safety/high-stakesFault Treeadvanced-techniques.md
Process breakdownBarrier Analysisadvanced-techniques.md
Pattern matchingCommon causes + 5 Whyscommon-root-causes.md

Phase 3: Execution & Verification

During Analysis:

  1. Define problem clearly (What/Where/When/Impact)
  2. Gather evidence systematically
  3. Apply selected methodology
  4. Document reasoning at each step
  5. Verify root cause with Forward/Backward tests

Before Finalizing:

  • Validate conclusion against evidence
  • Check for red flags (see common-root-causes.md)
  • Confirm actionability (can you fix this?)
  • Develop solutions addressing root cause

Problem Definition Framework

Create a clear problem statement before analysis:

Essential Elements:

  • What: Observable symptom (not assumed cause)
  • Where: Location/system/component affected
  • When: Timeline, frequency, pattern
  • Impact: Users/systems affected, severity

Example: "Users in EU region experience 3-5 second dashboard load delays during 9-11 AM UTC peak hours, affecting ~2,000 daily active users. Started after v2.4 deployment on Nov 18th."

Evidence Gathering (Go and See)

Follow Toyota's principle—collect facts, not opinions:

Key Evidence Sources:

  • Logs, metrics, monitoring data
  • Timeline of events and changes
  • System/code/configuration changes before problem
  • Environmental factors (load, traffic, season)
  • User reports and reproduction steps
  • System state before/during/after

RCA Methodologies

See resources/rca-methodologies.md for complete methodology guide.

Resource Files Summary

resources/rca-methodologies.md

Comprehensive methodology guide covering:

  • 5 Whys: Step-by-step process with software examples
  • Fishbone Diagram: Structure, 6 M's categories, process
  • Pareto Analysis: Prioritization using 80/20 rule
  • Fault Tree Analysis: Top-down formal analysis
  • Barrier Analysis: Control failure examination
  • Structured 6-phase RCA process, domain-specific guidance, templates

resources/common-root-causes.md

Pattern reference catalog by domain:

  • Software Engineering: Code defects, configuration, dependencies, deployment
  • Hardware & Equipment: Mechanical, electrical, operational, maintenance
  • Process & Operations: Workflow, design, resources
  • Personal/Life: Health, habits, environment, skills
  • Red flags, recurring themes, pattern recognition

resources/example-analyses.md

Four worked examples with full analysis:

  1. Software Bug: JWT authentication (5 Whys)
  2. Vehicle Maintenance: Overheating (5 Whys)
  3. System Failure: E-commerce checkout (Fishbone + 5 Whys)
  4. Personal Productivity: Missed deadlines (Fishbone + 5 Whys)

resources/advanced-techniques.md

Formal methods for complex problems:

  • Fault Tree Analysis: Boolean logic, safety systems
  • Barrier Analysis: Control failures
  • Multi-Methodology Chains: Complex orchestration
  • Verification Frameworks: Comprehensive testing

How This Skill Works

  1. Clarify your situation: Domain, observations, evidence, time
  2. Recommend approach: Complexity analysis, methodology, resources
  3. Guide through analysis: Problem statement, evidence, methodology, verification
  4. Deliver output: Analysis, root cause, solutions, implementation

Quick Start: 5-Minute RCA

  1. State problem (What/Where/When/Impact)
  2. First Why: fact-based answer
  3. Second Why: dig deeper
  4. Third Why: dig deeper again
  5. Verify: would fixing this prevent it?

Templates & Examples

  • 5 Whys Template in resources/rca-methodologies.md
  • Fishbone Template in resources/rca-methodologies.md
  • Worked Examples in resources/example-analyses.md
  • Solution Structures in resources/example-analyses.md

Next Steps

  1. Identify problem domain (software/hardware/process/personal)
  2. Load appropriate resource from table above
  3. Select methodology based on complexity
  4. Follow step-by-step process in resource
  5. Verify root cause (Forward/Backward tests)
  6. Develop actionable solutions

Remember: Goal is systematic investigation—disciplined questioning until you reach a cause you can actually fix.

平台分布

Claude Code

27.38%
按下载量换算95

OpenCode

23.01%
按下载量换算80

Codex

18.38%
按下载量换算64

Antigravity

11.78%
按下载量换算41

Gemini CLI

7.65%
按下载量换算26

github-copilot

2.94%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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