hunt

Diagnose software error root causes through hypothesis-driven debugging and git bisect.

2|Updated Jul 22, 2026
One-click install
npx skills add https://github.com/0xUrsanomics/utopia-os --skill hunt-0xursanomics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hunt
Source: https://github.com/0xUrsanomics/utopia-os/tree/main/knowledge/waza-skills/hunt
Command: npx skills add https://github.com/0xUrsanomics/utopia-os --skill hunt-0xursanomics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill prevents the common pitfall of random-walking through code by enforcing a rigorous, hypothesis-driven diagnostic process for errors, crashes, and unexpected behaviors.

Core Features & Use Cases

  • Hypothesis-Driven Debugging: Forces the creation of testable, evidence-based hypotheses before any code changes are made.
  • Bisect Mode: Automates the identification of regression-inducing commits using git bisect with strict context conservation.
  • Regression Guarding: Ensures that every fix is verified with a permanent test case to prevent the recurrence of the issue.

Quick Start

Activate the hunt skill to begin diagnosing the current error by stating your initial hypothesis based on the observed stack trace.

Frequently Asked Questions about hunt

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

FAQPage Schema
How do I find the root cause of a complex software regression?

Root cause diagnosis for complex regressions requires a structured, hypothesis-driven debugging methodology that verifies evidence before making code changes. This approach prevents random-walking through code by enforcing testable hypotheses based on observed symptoms.

How do I use git bisect to identify which commit introduced a crash?

Git bisect automates the identification of regression-inducing commits by systematically narrowing down the commit history. The bisect mode applies strict context conservation to ensure the debugging environment remains stable and isolated throughout the binary search process.

What is the best way to debug an error when previous fix attempts have failed?

Debugging failed fix attempts requires evidence-based verification and hypothesis-driven diagnosis. By structuring the debugging session around testable hypotheses and verifying each step against observed stack traces, you avoid repeating ineffective random code changes.

How do I prevent a software bug from recurring after applying a fix?

Preventing bug recurrence requires implementing permanent regression tests immediately after applying a fix. This regression guarding ensures that every resolution is verified with a dedicated test case to catch any future reintroduction of the error.

When should I use a hypothesis-driven methodology for error diagnosis?

A hypothesis-driven methodology for error diagnosis is necessary when symptoms are unclear, crashes are complex, or previous attempts at fixing have failed. It forces evidence-based verification to ensure code changes address the actual root cause.