What is the 'defense-in-depth' principle mentioned in the skill?

It refers to adding validation and guards at every layer of the call chain found during the tracing process, making it impossible for the bug to recur or go unnoticed in the future.

How does Root Cause Tracing differ from regular debugging?

While regular debugging often focuses on where an error occurs, Root Cause Tracing emphasizes finding the original trigger of an error many levels up the call stack to ensure the fix is applied at the source.

When should I use this Claude Code skill?

Use this skill when errors occur deep in execution, when you have a long call chain, or when the origin of invalid data is not immediately obvious from the error message.

Can this skill help identify why my tests are failing randomly?

Yes, it includes specific strategies for finding 'polluters'—tests that leave the environment in a bad state—using bisection methods to isolate the problematic code.

Root Cause Tracing

Name: Root Cause Tracing
Author: kivilaid

bykivilaid

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Seguridad y Pruebas

Systematically traces bugs through call stacks to identify and fix the original source of errors rather than just their symptoms.

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Root Cause Tracing is a specialized Claude Code skill designed to help developers move beyond quick fixes and address the actual origins of software defects. Instead of patching symptoms where they appear deep in the execution stack, this skill provides a structured methodology for tracing data and behavior back to their original triggers. By incorporating manual tracing techniques, automated instrumentation with stack traces, and bisection strategies to identify test pollution, it ensures that bugs are eliminated at their source while implementing defense-in-depth layers to prevent future regressions.

Características Principales

6 GitHub stars
Automated instrumentation and stack trace logging
Defense-in-depth validation pattern implementation
Systematic backward call stack tracing methodology
Root cause analysis for complex, multi-layered execution errors
Test pollution identification using bisection scripts

Casos de Uso

Debugging filesystem errors where paths are unexpectedly empty or incorrectly resolved
Identifying which specific test in a large suite is causing global environment pollution
Tracing invalid data objects passed through multiple layers of an application architecture

Acerca de

Características Principales

6 GitHub stars
Automated instrumentation and stack trace logging
Defense-in-depth validation pattern implementation
Systematic backward call stack tracing methodology
Root cause analysis for complex, multi-layered execution errors
Test pollution identification using bisection scripts

Casos de Uso

Debugging filesystem errors where paths are unexpectedly empty or incorrectly resolved
Identifying which specific test in a large suite is causing global environment pollution
Tracing invalid data objects passed through multiple layers of an application architecture