How does Root Cause Tracing differ from standard debugging?

Standard debugging often focuses on fixing the point of failure; this skill focuses on tracing execution backwards to the original trigger to ensure the fix is applied at the source, preventing recurring issues.

When is the best time to use this skill?

Use it when you encounter errors deep in execution, when a stack trace shows a long call chain, or when it's unclear where a piece of invalid data originated.

Can this skill help with test pollution?

Yes, it includes methodologies for using bisection scripts to isolate specific tests that are corrupting the global state or filesystem.

What is 'defense-in-depth' in the context of this skill?

It involves adding validation and guards at every layer of the call stack, ensuring that if an invalid state is introduced, it is caught immediately rather than failing silently until much later.

Root Cause Tracing

Name: Root Cause Tracing
Author: dsifry

bydsifry

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セキュリティとテスト

Systematically traces bugs backward through the call stack to identify and fix the original trigger rather than just the symptom.

概要

Root Cause Tracing provides a structured methodology for Claude to diagnose and resolve bugs that manifest deep within complex execution chains. Instead of applying surface-level fixes to symptoms, this skill implements a rigorous process of backward tracing, instrumentation, and call stack analysis. It helps identify exactly where invalid data or incorrect states originate, enabling developers to implement defense-in-depth validation and permanent architectural fixes that prevent regression.

主な機能

Test pollution bisection and identification
Automated instrumentation and stack trace logging
29 GitHub stars
Systematic backward call stack tracing
Defense-in-depth validation layer implementation
Source-level bug resolution strategies

ユースケース

Debugging filesystem or database errors that appear far from the initial call site
Resolving 'ghost' bugs where the source of invalid data is unclear
Identifying which specific test in a suite is causing environmental pollution

概要

主な機能

Test pollution bisection and identification
Automated instrumentation and stack trace logging
29 GitHub stars
Systematic backward call stack tracing
Defense-in-depth validation layer implementation
Source-level bug resolution strategies

ユースケース

Debugging filesystem or database errors that appear far from the initial call site
Resolving 'ghost' bugs where the source of invalid data is unclear
Identifying which specific test in a suite is causing environmental pollution