When should I use Root Cause Tracing?

Use it when errors occur deep in execution, when stack traces show long call chains, or when it is unclear where invalid data originated.

How does this skill differ from standard debugging?

It shifts the focus from fixing the error at the point of failure to finding the 'original trigger' through systematic backward tracing and instrumentation.

Can this help with flaky tests?

Yes, it includes specific strategies and bisection scripts to identify which test is polluting the environment and causing subsequent failures.

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

It involves adding validation at every layer of the call stack discovered during tracing to ensure the bug becomes impossible to replicate in the future.

Why use console.error for tracing instead of a logger?

Standard loggers are often suppressed in test environments; console.error ensures that critical debug information and stack traces are captured and visible.

Root Cause Tracing

Name: Root Cause Tracing
Author: GGPrompts

byGGPrompts

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セキュリティとテスト

Traces software bugs backward through the call stack to identify and resolve the original trigger rather than just treating symptoms.

概要

This skill empowers Claude to perform deep, systematic debugging by moving beyond surface-level fixes. Instead of patching an error where it manifests, this skill provides a methodology for tracing call chains, adding strategic instrumentation, and using bisection scripts to locate the actual source of invalid data or state. It is particularly effective for complex systems where errors occur deep within execution, ensuring robust fixes and preventing regression through defense-in-depth patterns.

主な機能

Multi-layered defense-in-depth implementation patterns
Pattern-based analysis for identifying recurring invalid data sources
2 GitHub stars
Bisection techniques to identify test suite pollution
Strategic instrumentation using error stacks and logging
Systematic backward call stack tracing methodology

ユースケース

Identifying which specific test is polluting the global environment or causing side effects
Debugging deep execution errors where the stack trace is long and complex
Validating data flow across multiple architectural layers to prevent silent failures

概要

主な機能

Multi-layered defense-in-depth implementation patterns
Pattern-based analysis for identifying recurring invalid data sources
2 GitHub stars
Bisection techniques to identify test suite pollution
Strategic instrumentation using error stacks and logging
Systematic backward call stack tracing methodology

ユースケース

Identifying which specific test is polluting the global environment or causing side effects
Debugging deep execution errors where the stack trace is long and complex
Validating data flow across multiple architectural layers to prevent silent failures