general-code-review

Automate code reviews to identify logic, security, performance, and architecture issues.

Updated Apr 16, 2014

Search Tags:#automation #architecture #linting #performance #security #analysis #code-review

Ready to run

npx skills add https://github.com/minhhh/dotfiles --skill general-code-review

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: general-code-review
Source: https://github.com/minhhh/dotfiles/tree/main/ai/.ai/skills/general-code-review
Command: npx skills add https://github.com/minhhh/dotfiles --skill general-code-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automated, comprehensive code review analyzes logic, security, performance, and architecture to identify defects and improvement opportunities across a codebase.

Core Features & Use Cases

Analyze logical correctness and edge cases to prevent regressions.
Identify security vulnerabilities, data handling risks, and architectural issues.
Provide actionable recommendations and maintainability improvements for CI/CD workflows.

Quick Start

Run an automated code review on your repository to obtain a prioritized list of findings and suggested fixes.

Frequently Asked Questions about general-code-review

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

FAQPage Schema

How do I automate code reviews to identify security vulnerabilities and performance issues?▼

Automate code reviews by running analysis on your repository to detect logic, security, performance, and architecture issues. The process outputs a structured, prioritized report of findings and suggested fixes for safer code.

Can I use automated code review for legacy code audits and CI pipelines?▼

Yes, automated code review applies to software projects in CI pipelines, pull request reviews, and audits of legacy code. It performs multi-language analysis to detect edge cases and vulnerabilities across these environments.

What is the best way to analyze logical correctness and edge cases in a multi-language codebase?▼

Multi-language analysis is the best way to analyze logical correctness and edge cases. It automatically inspects your codebase to prevent regressions and outputs actionable recommendations for maintainability improvements.

Does automated code review detect architectural issues and data handling risks?▼

Yes, automated code review identifies architectural issues, data handling risks, and security vulnerabilities. It analyzes your codebase to provide a prioritized list of defects and improvement opportunities.

How do I get a prioritized report of code defects and suggested fixes?▼

To get a prioritized report of code defects, run an automated code review on your repository. The analysis identifies vulnerabilities and outputs a structured list of findings with actionable recommended fixes.