code-reviewer

Analyze code snippets for security vulnerabilities and performance issues.

150|51|Updated Mar 14, 2026
One-click install
npx skills add https://github.com/AratKruglik/claude-laravel --skill code-reviewer-aratkruglik
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/AratKruglik/claude-laravel/tree/main/.claude/skills/code-reviewer
Command: npx skills add https://github.com/AratKruglik/claude-laravel --skill code-reviewer-aratkruglik

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the critical need for robust code quality assurance, identifying security vulnerabilities, performance bottlenecks, and maintainability issues before they impact production.

Core Features & Use Cases

  • AI-Powered Analysis: Leverages advanced AI tools for deep code inspection.
  • Security Audits: Detects OWASP Top 10 vulnerabilities and secrets exposure.
  • Performance Optimization: Identifies inefficient code, database queries, and resource leaks.
  • Use Case: Submit a pull request to this Skill for a comprehensive review covering security, performance, and adherence to best practices, ensuring a higher quality codebase.

Quick Start

Use the code-reviewer skill to analyze the provided code snippet for security vulnerabilities and performance issues.

Frequently Asked Questions about code-reviewer

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

FAQPage Schema
How do I perform a security audit to detect OWASP Top 10 vulnerabilities in my code?

To perform a security audit, submit your code to detect OWASP Top 10 vulnerabilities and secrets exposure. This process leverages advanced AI-assisted analysis to identify security flaws and configuration issues before they impact production.

What is static analysis and how does it help with code quality assurance?

Static analysis inspects source code without executing it to find performance bottlenecks and maintainability issues. It ensures code quality assurance by applying 2024 and 2025 best practices to identify inefficient database queries and resource leaks.

How do I find performance bottlenecks and resource leaks before production deployment?

To find performance bottlenecks and resource leaks, use AI-powered analysis for deep code inspection. This identifies inefficient code and database queries, ensuring production reliability and optimizing overall application performance before deployment.

Does this code review approach work for configuration review and production reliability?

Yes, this code review approach works for configuration review and production reliability. It masters static analysis tools and security scanning to evaluate configurations, ensuring adherence to best practices for a higher quality codebase.

What is the best way to review a pull request for security vulnerabilities and maintainability issues?

The best way to review a pull request is through comprehensive AI-assisted analysis. This evaluates security vulnerabilities, performance optimization, and adherence to best practices, ensuring robust code quality assurance and higher maintainability.