multi-pass-bug-hunting

Perform a four-pass bug hunt across a codebase with documented findings.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Dunc4nJ/agent-skills --skill multi-pass-bug-hunting
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: multi-pass-bug-hunting
Source: https://github.com/Dunc4nJ/agent-skills/tree/main/skills/multi-pass-bug-hunting
Command: npx skills add https://github.com/Dunc4nJ/agent-skills --skill multi-pass-bug-hunting

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill provides a disciplined, multi-pass approach to finding and eliminating bugs by auditing, fixing, and rescanning code until a clean baseline is achieved.

Core Features & Use Cases

  • Iterative Bug Audit: Perform surface, deep, and integration reviews to uncover bugs that surface after fixes.
  • Traceable Workflow: Document findings after each pass to maintain convergence and reproducibility.
  • Pre-release Hardening: Apply systematic checks to reduce regressions before shipping.

Quick Start

Start a four-pass bug-hunting cycle on the repository and log findings after each pass.

Frequently Asked Questions about multi-pass-bug-hunting

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

FAQPage Schema
What is a multi-pass bug hunting workflow in software engineering?

A multi-pass bug hunting workflow systematically roots out bugs by performing surface scanning, deep review, integration checks, and final verification across the codebase to converge on a clean, stable build.

How do I perform an iterative bug audit to prevent regressions before shipping?

Perform an iterative bug audit by executing a four-pass bug hunt that scans surface code, applies deep review with fresh eyes, checks integration, and validates changes with automated scans and manual review to ensure no regressions remain.

What's the best way to track files and document findings during code review?

The best way to track findings during code review is to document results after each bug hunting pass and track touched files, maintaining convergence and reproducibility throughout the workflow until a clean baseline is achieved.

Can I apply systematic bug hunting to verify a pre-release codebase?

Yes, you can apply systematic bug hunting to pre-release hardening by running multiple review passes and automated scans to reduce regressions and validate that changes produce a clean, stable build before shipping.

Why do bugs surface after initial fixes during deep code review?

Bugs surface after initial fixes because deep review with fresh eyes and integration checks uncover hidden bugs that emerge when earlier code changes interact, requiring iterative rescanning to reach a clean baseline.

Does this bug hunting approach work without external dependencies?

Yes, this bug hunting approach works without external dependencies, using internal references to guide the four-pass workflow of surface scanning, deep review, integration checks, and final verification across the codebase.