gstack-openclaw-investigate

Enforce root cause investigation before bug fixes in software debugging workflows.

1|Updated Apr 13, 2026
One-click install
npx skills add https://github.com/a29paul/hexlens --skill gstack-openclaw-investigate-a29paul
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gstack-openclaw-investigate
Source: https://github.com/a29paul/hexlens/tree/main/.claude/skills/gstack/openclaw/skills/gstack-openclaw-investigate
Command: npx skills add https://github.com/a29paul/hexlens --skill gstack-openclaw-investigate-a29paul

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates ineffective whack-a-mole debugging where fixes only address symptoms and bugs recur repeatedly, by enforcing mandatory root cause investigation before any code changes are made.

Core Features & Use Cases

  • 4-Phase Systematic Workflow: Structured steps for investigation, pattern analysis, hypothesis testing, and implementation to eliminate guesswork in debugging processes.
  • Built-in Guardrails: 3-strike rule for failed hypotheses, mandatory root cause confirmation before fixes, and blast radius flags for large changes to avoid risky edits.
  • Structured Reporting: Generates standardized debug reports and requires regression tests to prevent future recurrence of the same issue.
  • Use Case: If your team's payment processing feature crashes intermittently in production, use this Skill to trace the root cause (e.g., a race condition in the payment state handler) instead of applying temporary workarounds that fail again later.

Quick Start

Use the gstack-openclaw-investigate skill to debug the unexpected crash that occurs when users upload profile pictures.

Frequently Asked Questions about gstack-openclaw-investigate

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

FAQPage Schema
How do I perform root cause analysis for unexpected application crashes?

Root cause analysis for unexpected application crashes requires a systematic workflow of error investigation, stack trace analysis, and bug reproduction to identify the true origin. This approach enforces mandatory root cause confirmation prior to applying any code fixes.

What is the best way to stop recurring bugs during software engineering debugging?

To stop recurring bugs during software engineering debugging, you must enforce mandatory root cause investigation and hypothesis testing before making code changes. This eliminates whack-a-mole debugging by ensuring minimal targeted fixes address the underlying issue.

How do I structure hypothesis testing when investigating a failed test case?

Hypothesis testing for a failed test case follows a 4-phase systematic workflow with built-in guardrails, including a 3-strike rule for failed hypotheses. This ensures you methodically validate your assumptions before proceeding to implementation.

Why do I need regression testing after fixing an error in production?

Regression testing is required after error investigation and bug fixing to prevent future recurrence of the identified issue. Generating standardized debug reports alongside regression tests documents the root cause and verifies the minimal targeted fix.

When should I flag the blast radius during a bug fix workflow?

You should flag the blast radius during bug fix implementation whenever large changes are anticipated, helping to avoid risky edits. This built-in guardrail ensures fixes remain minimal and targeted after root cause confirmation is achieved.