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.