nit

Coordinate isolated Hunter, Skeptic, and Referee agents to verify software bugs.

9|Updated Feb 14, 2026
One-click install
npx skills add https://github.com/koolamusic/claudefiles --skill nit-koolamusic
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nit
Source: https://github.com/koolamusic/claudefiles/tree/main/skills/nit
Command: npx skills add https://github.com/koolamusic/claudefiles --skill nit-koolamusic

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers uncover hidden bugs and false positives by running a structured adversarial review process instead of relying on a single code analysis pass.

Core Features & Use Cases

  • Multi-Agent Bug Hunting: Coordinates isolated Hunter, Skeptic, and Referee agents to discover, challenge, and verify potential issues.
  • Triage-Aware Reviews: Uses project nitignore records to skip known intentional or remediated findings.
  • Use Case: Review a large codebase before a release by having independent agents inspect implementation details, validate reported problems, and produce a prioritized bug report.

Quick Start

Use the nit skill to scan the current project directory for verified bugs and produce a triage-ready report.

Frequently Asked Questions about nit

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

FAQPage Schema
How does adversarial code review find software bugs?

Adversarial code review uncovers software bugs by deploying isolated agents that independently inspect source code, challenge reported anomalies, and verify findings to eliminate false positives and produce severity-ranked reports.

How do I run an automated security review on my codebase before release?

Run an automated security review by executing the skill against your project directory to scan implementation details, validate reported problems, and generate a triage-ready, severity-ranked bug report for release validation.

Can I skip known false positives during automated static analysis?

You can skip known false positives during static analysis by using project nitignore records to filter out intentional or previously remediated findings, ensuring the final triage report only shows newly verified issues.

What is the best way to reduce false positives in code review?

The best way to reduce false positives in code review is using an adversarial multi-agent workflow where a Skeptic agent challenges initial findings from the Hunter agent, ensuring only verified bugs reach the final report.

Does multi-agent bug hunting require isolated execution environments?

Multi-agent bug hunting requires isolated agent execution to ensure the Hunter, Skeptic, and Referee agents independently inspect source code without shared state, maintaining the integrity of the adversarial review process.