Why should I use this instead of just fixing the line where the error occurs?

Fixing symptoms often leaves the underlying bug active, which can lead to similar issues elsewhere; fixing the root source ensures long-term code stability.

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

It involves adding validation layers at every level of the call chain found during tracing, making it impossible for the bug to recur even if one layer fails.

What is Root Cause Tracing in the context of Claude Code?

It is a systematic debugging methodology that follows the call stack backward from where an error manifests to its original trigger point, ensuring the source of the problem is fixed.

Can I use this for errors that don't cause an immediate crash?

Yes, it is specifically designed to find the origin of invalid data or incorrect state, even if the application continues running until a much later failure point.

How does this skill help with test pollution?

It provides specialized bisection scripts for Python and TypeScript/JavaScript that run tests one-by-one to isolate which specific test is corrupting the environment.

Root Cause Tracing

Name: Root Cause Tracing
Author: carlopezzuto

bycarlopezzuto

0•

보안 및 테스팅

Systematically traces software bugs backward through the call stack to identify and resolve original triggers rather than just surface symptoms.

Root Cause Tracing is a specialized Claude Code skill designed to help developers move beyond surface-level bug fixes. Instead of treating symptoms that manifest deep in the execution stack—such as file path errors or database failures—this skill provides a structured methodology for tracing invalid data and incorrect behaviors back to their source. It guides users through systematic instrumentation, stack trace analysis, and test bisection to identify original triggers and implement multi-layered defense-in-depth strategies, ensuring bugs are eliminated at the root and prevented from recurring.

주요 기능

01Systematic backward call-stack tracing methodology

02Automated instrumentation guidance using manual stack trace injection

03Test bisection scripts for identifying environment and state pollution

04Defense-in-depth patterns for multi-layered validation

05Support for debugging deep execution errors in both TypeScript and Python

060 GitHub stars

사용 사례

01Debugging silent failures where invalid data originates far from the eventual crash point

02Identifying specific test cases causing environment pollution in complex CI/CD pipelines

03Implementing robust validation layers to prevent regression of complex logic errors

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add carlopezzuto/agents root-cause-tracing

For use in Claude.ai and ChatGPT

Download Skill