Does this skill automatically modify my code?

It provides the logic and patterns for Claude to add temporary instrumentation, such as stack trace logging and environment inspection, to help you visualize the flow of execution during debugging.

Can this help with intermittent test failures?

Yes, it includes specific strategies and bisection techniques for identifying 'polluter' tests—tests that pass themselves but leave the system in a state that causes subsequent tests to fail.

How does this differ from standard debugging?

While standard debugging often focuses on where an error occurs, Root Cause Tracing focuses on the 'original trigger' by moving backward through the call chain to find where the invalid state was first introduced.

What is meant by 'defense-in-depth' in debugging?

It refers to the practice of adding validation and guards at every layer of the call stack once a root cause is found, making the bug 'impossible' to occur again even if the source changes.

Root Cause Tracing

Name: Root Cause Tracing
Author: kivilaid

bykivilaid

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安全与测试

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

关于

Root Cause Tracing is a specialized methodology for Claude Code designed to help developers move beyond surface-level fixes. It provides a structured approach for traversing complex call chains, adding defensive instrumentation, and performing stack trace analysis to find the true source of errors. By focusing on the origin of invalid data or incorrect behavior, this skill ensures that fixes are permanent and robust, incorporating defense-in-depth strategies to prevent similar bugs from resurfacing in the future.

主要功能

Advanced stack trace analysis and context capture
Strategic instrumentation and diagnostic logging patterns
Test pollution identification and bisection techniques
Systematic backward call stack tracing methodology
Defense-in-depth validation layer implementation
6 GitHub stars

使用场景

Debugging errors that manifest deep within complex execution flows or third-party libraries
Identifying specific test cases that are causing environment pollution or side effects
Implementing multi-layered validation to prevent recurring logic failures

关于

主要功能

Advanced stack trace analysis and context capture
Strategic instrumentation and diagnostic logging patterns
Test pollution identification and bisection techniques
Systematic backward call stack tracing methodology
Defense-in-depth validation layer implementation
6 GitHub stars

使用场景

Debugging errors that manifest deep within complex execution flows or third-party libraries
Identifying specific test cases that are causing environment pollution or side effects
Implementing multi-layered validation to prevent recurring logic failures