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Agent Skill · 研究检索

root-cause-tracing(根本原因追踪)

root-cause-tracing 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-tracing 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,权限为权限未标注;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 12,867。

总安装 9,911周安装 382GitHub Stars 39下载 2,925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-tracing(根本原因追踪)
来源仓库:https://github.com/bobmatnyc/claude-mpm-skills
仓库路径:skills/root-cause-tracing
安装命令:
npx skills add https://github.com/bobmatnyc/claude-mpm-skills --skill 'Root Cause Tracing'
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/bobmatnyc/claude-mpm-skills --skill 'Root Cause Tracing'

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。

root-cause-tracing 用于穿透表象错误,定位原始触发点。典型应用包括 git init 路径错误、文件创建位置偏差等问题。强调修复源头而非症状,防止问题复发。常与其他调试技能联用,在深层调用栈场景中效果显著。

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。

来源仓库内路径:skills/root-cause-tracing

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/bobmatnyc/claude-mpm-skills --skill 'Root Caus…;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

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

root-cause-tracing 怎么安装?

在终端执行 npx skills add https://github.com/bobmatnyc/claude-mpm-skills --skill 'Root Cause Tracing'。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

root-cause-tracing 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-tracing 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

root-cause-tracing 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-tracing 用的人多吗?

公开数据是累计安装 9,911 次,近一周安装 382 次,下载 2,925 次,GitHub 39 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-tracing 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-tracing

根本原因追踪 · 本页

9,91139权限未标注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 Tracing

Overview

Bugs often manifest deep in the call stack (git init in wrong directory, file created in wrong location, database opened with wrong path). Your instinct is to fix where the error appears, but that's treating a symptom.

Core principle: Trace backward through the call chain until you find the original trigger, then fix at the source.

This skill is a specialized technique within the systematic-debugging workflow, typically applied during Phase 1 (Root Cause Investigation) when dealing with deep call stacks.

When to Use This Skill

Use root-cause-tracing when:

  • Error happens deep in execution (not at entry point)
  • Stack trace shows long call chain
  • Unclear where invalid data originated
  • Need to find which test/code triggers the problem
  • Symptom appears far from actual cause

Relationship with systematic-debugging:

  • systematic-debugging: The overall framework (Phases 1-4)
  • root-cause-tracing: A specific technique for Phase 1 investigation
  • Use root-cause-tracing WITHIN systematic-debugging Phase 1

The Iron Law

NEVER FIX JUST WHERE THE ERROR APPEARS
ALWAYS TRACE BACK TO FIND THE ORIGINAL TRIGGER

Fixing symptoms creates bandaid solutions that mask root problems.

Core Principles

  1. Trace Backward: Follow call chain from symptom to source
  2. Find Original Trigger: Identify where bad data/state originated
  3. Fix at Source: Address root cause, not symptom
  4. Defense-in-Depth: Add validation at each layer after fixing source

Quick Start

The 5-Step Trace Process

  1. Observe the Symptom: What error message? What failed operation?
  2. Find Immediate Cause: What code directly causes this error?
  3. Ask What Called This: Trace one level up the call stack
  4. Keep Tracing Up: Continue until you find the original trigger
  5. Fix at Source + Defense: Fix root cause and add layer validation

Decision Tree

Error appears deep in stack?
  → Yes: Start tracing backward
    → Can identify caller? → Trace one level up → Repeat
    → Cannot identify caller? → Add instrumentation (see advanced-techniques.md)
  → No: May not need tracing (error at entry point)

The Tracing Process

Example: Git init in wrong directory

Error symptom → execFileAsync('git', ['init'], { cwd: '' })
  ← WorktreeManager.createSessionWorktree(projectDir='')
  ← Session.create() → Project.create() → Test code
  ← ROOT CAUSE: setupCoreTest() returns { tempDir: '' } before beforeEach

At each level ask: Where did this value come from? Is this the origin?

For detailed tracing methodology, see Tracing Techniques For complete real-world examples, see Examples

After Finding Root Cause

Fix at source (throw if accessed before initialization) + Add defense-in-depth (validate at Project.create, WorkspaceManager, environment guards, instrumentation).

This prevents similar bugs and catches issues earlier.

Navigation

For detailed information:

  • Tracing Techniques: Complete tracing methodology, patterns, and decision trees
  • Examples: Real-world debugging scenarios with full trace chains
  • Advanced Techniques: Stack traces, instrumentation, test pollution detection
  • Integration: How to use with systematic-debugging and other skills

Key Reminders

  • NEVER fix just where the error appears
  • ALWAYS trace back to find the original trigger
  • Use console.error() for debugging in tests (logger may be suppressed)
  • Log BEFORE the dangerous operation, not after it fails
  • Include context: directory, cwd, environment, timestamps
  • Add defense-in-depth after fixing source
  • Document your trace as you go (write down the call chain)

Red Flags - STOP

STOP when thinking:

  • "I'll just add validation here" (without finding source)
  • "This will prevent the error" (symptom fix)
  • "Too hard to trace back" (add instrumentation instead)
  • "Quick fix for now" (creates technical debt)

ALL of these mean: Continue tracing to find root cause.

Integration with Other Skills

  • systematic-debugging: Use root-cause-tracing during Phase 1
  • defense-in-depth: Add after finding root cause
  • verification-before-completion: Verify fix worked at source
  • test-driven-development: Write test for root cause, not symptom

See Integration for complete workflow examples.

Real-World Impact

From debugging session (2025-10-03):

  • Found root cause through 5-level trace
  • Fixed at source (getter validation)
  • Added 4 layers of defense
  • 1847 tests passed, zero pollution
  • Time saved: 3+ hours vs symptom-fix approach

Bottom line: Tracing takes 15-30 minutes. Symptom fixes take hours of whack-a-mole.

平台分布

Claude Code

25.86%
按下载量换算756

Gemini CLI

22.17%
按下载量换算648

windsurf

18.26%
按下载量换算534

Antigravity

13.13%
按下载量换算384

OpenCode

6.64%
按下载量换算194

Codex

3.51%
按下载量换算103

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

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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