trace-fault

Trace software faults by testing hypotheses and documenting evidence before fixes.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/caseyrtalbot/claude-plugins --skill trace-fault
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: trace-fault
Source: https://github.com/caseyrtalbot/claude-plugins/tree/main/plugins/forge/skills/trace-fault
Command: npx skills add https://github.com/caseyrtalbot/claude-plugins --skill trace-fault

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Trace Fault helps engineers identify the root cause of bugs or unexpected behavior through hypothesis-driven investigation, avoiding premature fixes.

Core Features & Use Cases

  • Hypothesis-driven investigation workflow
  • Evidence-based root cause documentation
  • Transition to a prove-first workflow for fixes and regression tests

Quick Start

Reproduce the failure, collect error output, form hypotheses, test them, and document the root cause before proposing a fix.

Frequently Asked Questions about trace-fault

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find the root cause of a bug without jumping to premature fixes?

Root-cause analysis uses hypothesis-driven investigation to identify the source of software failures before applying fixes. You reproduce the failure, form hypotheses, test them against collected evidence, and document the root cause to guide the correction.

What is hypothesis-driven debugging and how does it work?

Hypothesis-driven debugging is an investigation workflow that traces faults by forming and testing hypotheses against evidence. It enforces a prove-first approach, ensuring the root cause of unexpected behavior is verified through evidence-based analysis before any fix is proposed.

Can I use structured investigation to trace faults across staging and production environments?

Structured fault tracing applies to debugging failures, crashes, or unexpected behavior across development, staging, and production environments. It tracks hypotheses and evidence consistently, regardless of the environment where the fault occurs.

What's the best way to document evidence during a software investigation?

The best way to document evidence during a software investigation is through evidence-based root cause documentation. This approach records tested hypotheses and supporting proof, creating a traceable narrative that justifies the final fix and regression tests.

Why should I use a prove-first workflow for debugging instead of fixing issues immediately?

A prove-first workflow prevents premature fixes by requiring evidence to validate the root cause before changes are made. This structured approach avoids introducing new bugs from untested assumptions and ensures fixes target the actual fault.

What should I do after identifying the root cause of a crash?

After identifying the root cause of a crash, transition to a prove-first workflow for fixes and regression tests. This ensures the proposed correction directly addresses the verified root cause and prevents future regressions of the same fault.