What is the core principle of this debugging skill?

The skill operates on the principle of 'No fixes without root cause investigation first,' preventing superficial fixes that mask underlying issues.

What are the four phases of the systematic debugging framework?

The phases are: 1) Root Cause Investigation, 2) Pattern Analysis, 3) Hypothesis and Testing, and 4) Implementation and Verification.

When should I use the Verification technique?

You should use it every time before claiming a task is complete to ensure fresh evidence from command outputs confirms the fix works as intended.

How does backward call stack tracing help in debugging?

It traces errors level-by-level from where they appear back to the original source where invalid data or logic first originated, ensuring you fix the source rather than the symptom.

Systematic Debugging Workflow

Name: Systematic Debugging Workflow
Author: hongbietcode

byhongbietcode

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安全与测试

Implements a disciplined four-phase debugging framework that prioritizes root cause investigation over superficial fixes.

关于

The Debugging skill provides a comprehensive framework for resolving technical issues by mandating a 'root cause first' approach. It guides users through systematic investigation, backward call stack tracing, and defense-in-depth validation to prevent regressions and 'band-aid' fixes. This skill is essential for complex troubleshooting, performance optimization, and ensuring high-quality code completion through rigorous verification protocols that demand fresh evidence before any work is claimed as finished.

主要功能

2 GitHub stars
Defense-in-depth validation across entry, logic, and environment layers
Four-phase systematic investigation framework (Investigate, Analyze, Hypothesize, Implement)
Backward call stack tracing to isolate original data triggers
Mandatory verification protocols to prevent false completion claims
Automated test pollution detection and bisecting scripts

使用场景

Implementing multi-layer validation to prevent recurring bug patterns
Resolving complex test failures and intermittent system behaviors
Identifying the source of invalid data deep within execution stacks

关于

主要功能

2 GitHub stars
Defense-in-depth validation across entry, logic, and environment layers
Four-phase systematic investigation framework (Investigate, Analyze, Hypothesize, Implement)
Backward call stack tracing to isolate original data triggers
Mandatory verification protocols to prevent false completion claims
Automated test pollution detection and bisecting scripts

使用场景

Implementing multi-layer validation to prevent recurring bug patterns
Resolving complex test failures and intermittent system behaviors
Identifying the source of invalid data deep within execution stacks