clawlite-investigate

Diagnose root causes of bugs and service failures through evidence-based hypothesis testing.

Updated Mar 19, 2026
One-click install
npx skills add https://github.com/gaos6e/MyOpenclaw --skill clawlite-investigate
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clawlite-investigate
Source: https://github.com/gaos6e/MyOpenclaw/tree/main/workspace/skills/clawlite-investigate
Command: npx skills add https://github.com/gaos6e/MyOpenclaw --skill clawlite-investigate

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a structured framework for diagnosing root causes of bugs and abnormal system behavior by guiding symptom collection, code-path tracing, and evidence-based hypothesis testing to avoid surface-level fixes.

Core Features & Use Cases

  • Structured root-cause approach: Collect symptoms, trace code paths, and form verifiable hypotheses before any fix.
  • Practice-safe debugging: Emphasizes preventing regression by validating root causes across scenarios.
  • Use Case: When a service error occurs, use this framework to isolate the root cause to reproduce steps and confirm fix viability.

Quick Start

Initialize a root-cause investigation by collecting symptoms, tracing code paths, and validating hypotheses against evidence.

Frequently Asked Questions about clawlite-investigate

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

FAQPage Schema
How do I systematically diagnose the root cause of a software bug or service failure?

To diagnose a root cause systematically, collect observed symptoms, trace code paths, formulate verifiable hypotheses, and validate them against evidence before applying any fix to avoid surface-level patches.

What is the best way to structure an incident response investigation for software?

A structured incident response investigation coordinates context gathering, hypothesis formulation, code-path tracing, and evidence-based verification to identify and confirm root causes for verifiable conclusions.

How do I verify a root cause hypothesis before fixing an abnormal system behavior?

Verify a root cause hypothesis by tracing code paths and validating the assumed cause against collected evidence across multiple scenarios, ensuring the identified root cause is accurate before implementing a fix.

Why should I use a structured root-cause investigation instead of directly patching symptoms?

A structured root-cause investigation prevents regression by validating root causes across scenarios, ensuring you address the actual source of abnormal system behavior rather than applying surface-level fixes.

Can I use this debugging framework for post-mortem investigations after a service error?

Yes, this debugging framework applies to post-mortem investigations by isolating the root cause from observed symptoms, tracing code paths, and confirming fix viability through evidence-based verification.

When should I not use a hypothesis-driven approach for root-cause debugging?

Avoid hypothesis-driven root-cause debugging when you lack sufficient observed symptoms or context, as evidence-based verification requires tracing code paths and validating hypotheses against concrete data.