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Serg28
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code-reviewer

Analyze codebases with Read, Grep, and Glob to detect bugs and security vulnerabilities.

Updated Apr 25, 2026
Search Tags:#code review#performance#security#bug detection#automated analysis
One-click install
npx skills add https://github.com/Serg28/demosite --skill code-reviewer-serg28
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/Serg28/demosite/tree/main/.agents/skills/code-reviewer
Command: npx skills add https://github.com/Serg28/demosite --skill code-reviewer-serg28

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps developers and reviewers analyze code for bugs, security issues, and maintainability, reducing manual review time.

Core Features & Use Cases

  • Comprehensive Code Analysis: Detects bugs, security vulnerabilities, code smells, and architectural concerns across various programming languages.
  • Structured Review Reports: Generates detailed, prioritized feedback to improve code quality and security.
  • Use Case: During pull request reviews, quickly identify critical issues such as SQL injection risks or performance bottlenecks, and receive actionable suggestions for improvements.

Quick Start

Use the code-reviewer skill to analyze the modified files in your latest pull request for security vulnerabilities and maintainability issues.

Frequently Asked Questions about code-reviewer

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

FAQPage Schema
How do I automate code review to detect security vulnerabilities and bugs?▼

Automated code review uses tools like Read, Grep, and Glob to analyze codebases in context, detecting bugs, security vulnerabilities, and architectural concerns. This process generates structured, prioritized feedback to improve code correctness and security during pull request cycles.

Can I use automated analysis to find SQL injection risks and performance bottlenecks in my pull request?▼

Yes, automated analysis can scan modified files in your latest pull request to quickly identify critical issues such as SQL injection risks and performance bottlenecks, providing actionable suggestions for improvements and reducing manual review time.

Does automated code review work across multiple programming languages?▼

Automated code review supports comprehensive code analysis across various programming languages, detecting code smells and architectural concerns to help developers improve code quality and maintainability regardless of the language used.

What is the best way to generate structured review reports for maintainability issues?▼

The best way to generate structured review reports for maintainability issues is through automated analysis that provides detailed, prioritized feedback, helping reviewers and developers improve code quality efficiently during review cycles.

How do I analyze my codebase for architectural concerns during code review?▼

You can analyze your codebase for architectural concerns by using automated tools that read and search files in context, providing structured feedback that highlights critical issues and offers prioritized recommendations for improvements.

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