Can it help with flaky test suites?

Yes, it includes specific strategies and scripts for 'bisection' to identify which specific test is polluting the environment and causing other tests to fail.

When is the best time to use Root Cause Tracing?

Use it when an error happens deep in execution, when stack traces are long, or when it is unclear exactly where invalid data originated in the application flow.

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 trace, making it impossible for that specific type of failure to propagate in the future.

How does this skill differ from standard debugging?

Standard debugging often fixes the immediate symptom where an error occurs; this skill prioritizes tracing execution backward to find the architectural source of the problem.

Root Cause Tracing

Name: Root Cause Tracing
Author: AlabamaMike

byAlabamaMike

보안 및 테스팅

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

소개

The Root Cause Tracing skill provides a structured methodology for Claude to diagnose complex bugs that manifest deep within an execution chain. Instead of applying superficial fixes at the point of failure, this skill guides the AI to navigate backward through call stacks, implement strategic instrumentation, and analyze data flow to find the 'Patient Zero' of an error. It is particularly effective for resolving issues involving environmental state, test pollution, and data corruption where the initial error source is far removed from the final crash or invalid output.

주요 기능

Test pollution detection using bisection scripts to find failing test sources
Automated instrumentation and debug logging for deep execution paths
Defense-in-depth implementation to prevent error recurrence at multiple layers
0 GitHub stars
Comprehensive stack trace analysis specifically tuned for complex Node.js and TypeScript environments
Systematic call stack backtracking to identify original bug triggers

사용 사례

Debugging deeply nested API or database calls where the source of invalid parameters is unknown
Identifying why files are being created in incorrect directories by tracing configuration variables up the stack
Finding which specific test in a large suite is polluting the global state or environment

소개

주요 기능

Test pollution detection using bisection scripts to find failing test sources
Automated instrumentation and debug logging for deep execution paths
Defense-in-depth implementation to prevent error recurrence at multiple layers
0 GitHub stars
Comprehensive stack trace analysis specifically tuned for complex Node.js and TypeScript environments
Systematic call stack backtracking to identify original bug triggers

사용 사례

Debugging deeply nested API or database calls where the source of invalid parameters is unknown
Identifying why files are being created in incorrect directories by tracing configuration variables up the stack
Finding which specific test in a large suite is polluting the global state or environment