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MicrotronX
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mxBugChecker

Identify and report code bugs from VCS changes with cited file lines.

29|8|Updated Apr 6, 2026
Search Tags:#security#analysis#runtime#review#code#bug#proof
One-click install
npx skills add https://github.com/MicrotronX/mxLore --skill mxbugchecker
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mxBugChecker
Source: https://github.com/MicrotronX/mxLore/tree/main/claude-setup/skills/mxBugChecker
Command: npx skills add https://github.com/MicrotronX/mxLore --skill mxbugchecker

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill identifies and reports concrete code bugs from version-control changes, ensuring findings are backed by exact code proofs and repository context.

Core Features & Use Cases

  • Proof-based bug findings: each issue includes cited file lines and a traceable root cause.
  • Contextual analysis: leverages repository history (commits, diffs) to validate bugs across multiple languages and project types.
  • On-demand reviews: suitable for pull requests, code reviews, and MCP-like diagnostics to support rapid fixes.

Quick Start

Run the Bug Finder against a target branch or PR to extract verified issues and generate a structured report.

Frequently Asked Questions about mxBugChecker

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

FAQPage Schema
How do I find concrete code bugs in pull requests with verifiable proof?▼

Code bug analysis with verifiable proof extracts concrete issues from version-control changes, tying each finding to exact file lines and repository context to ensure traceable root causes across multiple languages.

What's the best way to automate security and runtime bug checks across repositories?▼

The best way to automate security and runtime bug checks across repositories is applying on-demand analysis to version-control changes, validating findings against repository history and generating a formalized report structure.

Does this code review analysis work with multiple programming languages and project types?▼

Yes, proof-based bug findings apply to code reviews across multiple languages and project types by leveraging repository history and diffs to validate bugs contextually across diverse codebases.

How does repository context help validate code bugs during a code review?▼

Repository context helps validate code bugs by extracting commits and diffs to trace root causes, applying to code reviews and pull requests to ensure each finding ties to exact file lines with verified evidence.

Can I use this analysis for on-demand diagnostics to support rapid fixes?▼

Yes, you can use this analysis for on-demand diagnostics to support rapid fixes, as it is suitable for pull requests, code reviews, and MCP-like diagnostics, extracting verified issues and generating a structured report.

Why should I require exact file lines and evidence when identifying code bugs?▼

Requiring exact file lines and evidence when identifying code bugs enforces proof-based findings, ensuring each reported issue has a traceable root cause supported by repository context rather than speculative errors.

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