What is 'defense-in-depth' in bug fixing?

It is a strategy where you apply the primary fix at the root cause, but also add secondary validations at every layer of the call stack to prevent similar issues from propagating in the future.

How does this skill differ from standard AI debugging?

Standard debugging often focuses on fixing the line where the error occurred. This skill enforces a 'backward tracing' protocol to ensure the fix happens where the bad data was first created, not just where it was detected.

How does this help with failing test suites?

The skill includes specific workflows for test isolation, such as binary searching your test directory to find hidden 'polluter' tests that leak state and cause subsequent tests to fail.

Can Claude run my debugger directly using this skill?

While Claude cannot interactively run a debugger, this skill provides precise commands for you to run (in lldb, gdb, etc.) and specific variables to check, allowing Claude to interpret the results and trace the stack with you.

Root Cause Tracing

Name: Root Cause Tracing
Author: withzombies

bywithzombies

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Security & Testing

Identifies the original source of software errors by tracing bugs backward through the call stack to prevent superficial band-aid fixes.

Root Cause Tracing empowers Claude to go beyond surface-level error messages by systematically investigating the call stack to find where invalid data or state first originated. By following a rigorous backward-tracing methodology, it ensures that fixes are applied at the architectural source of the problem rather than where the symptom manifests. This skill is particularly valuable for complex applications with deep execution paths, intermittent test failures, or cases where utility libraries report errors actually caused by upstream logic.

Key Features

01Step-by-step backward call stack analysis

02Guided debugger commands for tools like lldb

03Test pollution isolation using binary search techniques

04Root cause identification vs. symptom mitigation

05Automated instrumentation for intermittent bug capture

0613 GitHub stars

Use Cases

01Debugging invalid data or null pointers that originate several layers above the error site

02Fixing recurring 'ghost' bugs in library code by tracing them back to API boundary violations

03Identifying specific test files causing environment pollution or global state leaks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add withzombies/hyperpowers root-cause-tracing

For use in Claude.ai and ChatGPT

Download Skill