gstack-openclaw-investigate

Identify underlying causes of software bugs through structured investigation phases.

Updated Apr 15, 2026
One-click install
npx skills add https://github.com/256javy/safia --skill gstack-openclaw-investigate-256javy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gstack-openclaw-investigate
Source: https://github.com/256javy/safia/tree/main/.claude/skills/gstack/openclaw/skills/gstack-openclaw-investigate
Command: npx skills add https://github.com/256javy/safia --skill gstack-openclaw-investigate-256javy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identify underlying causes of software bugs rather than chasing symptoms.

Core Features & Use Cases

  • Phase-driven investigation: gather symptoms, read code paths, and reproduce deterministically.
  • Pattern analysis: identify race conditions, nil/null propagation, state corruption, and integration or configuration issues.
  • Structured verification: document root cause hypotheses, run evidence-based tests, and produce a final debug report.

Quick Start

Begin by reading the Iron Law, then follow Phase 1 to gather symptoms, reproduce the bug, and identify a root-cause hypothesis.

Frequently Asked Questions about gstack-openclaw-investigate

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

FAQPage Schema
How do I find the root cause of a software bug instead of just fixing symptoms?

Root-cause debugging requires structured phases: gathering symptoms, reading code paths, and reproducing the bug deterministically. You then form hypotheses, run evidence-based tests, and validate the fix to prevent future regressions.

What is the best way to reproduce a race condition or state corruption bug?

Reproducing a race condition or state corruption requires deterministic reproduction. Analyze code paths and integration configurations, gather evidence from stack traces, and apply hypothesis testing to verify the exact trigger before attempting a fix.

How do I structure a bug investigation to ensure traceability?

Structure bug investigation through distinct phases: symptom gathering, deterministic reproduction, pattern analysis, and hypothesis testing. Maintain evidence-based test results and conclude with a final debug report to ensure full traceability and prevent regression.

How do I debug unexpected behavior caused by nil or null propagation?

Debugging nil or null propagation requires reading code paths to identify state corruption. Apply pattern analysis to trace the invalid state back to its origin, formulate a root-cause hypothesis, and validate the fix with evidence-based tests.

Can I use structured debugging for integration and configuration issues?

Structured debugging works effectively for integration and configuration issues by applying pattern analysis. Gather symptoms, read code paths to find misconfigurations, deterministically reproduce the error, and verify the root-cause hypothesis before fixing.

What are the limitations of hypothesis testing in bug investigation?

Hypothesis testing in bug investigation requires deterministic reproduction to be effective. If a bug cannot be reliably reproduced through code path analysis and evidence gathering, validating the root-cause hypothesis and ensuring regression prevention becomes significantly harder.