Can it find security vulnerabilities?

Yes, it specifically checks for input validation, proper authentication, and common issues like SQL injection, XSS, or hardcoded secrets.

Does it support multiple programming languages?

Yes, it is designed to follow the specific idioms, conventions, and design patterns appropriate for the language used in your project.

How is the feedback formatted?

Feedback is provided per issue found, including the specific file and line number, a severity rating, a description of the issue, and a recommended fix.

What does this skill analyze during a review?

It evaluates code quality, performance efficiency, security vulnerabilities, best practices, and language-specific conventions.

Professional Code Reviewer

Name: Professional Code Reviewer
Author: yasun1

byyasun1

Collaboration Tools

Performs comprehensive automated code reviews focusing on quality, security, performance, and architectural best practices.

About

Professional Code Reviewer is a specialized Claude Code skill designed to streamline the peer review process by providing automated, high-fidelity feedback on source code. It analyzes codebases for maintainability, security vulnerabilities, and performance bottlenecks, offering specific line-by-line recommendations and severity ratings. This tool is ideal for developers looking to maintain high standards, catch common bugs early, and ensure adherence to language-specific idioms before merging pull requests.

Key Features

Detailed issue reporting with file location and line number precision
Severity-based categorization from Critical to Low for prioritized triaging
Actionable remediation recommendations for every identified issue
Language-specific idiom and design pattern validation
0 GitHub stars
Multi-dimensional analysis covering quality, security, performance, and best practices

Use Cases

Pre-PR checks to identify bugs and security flaws before human review
Enforcing consistent coding standards and performance optimizations across a team
Refactoring legacy codebases by identifying code smells and complexity

About

Key Features

Detailed issue reporting with file location and line number precision
Severity-based categorization from Critical to Low for prioritized triaging
Actionable remediation recommendations for every identified issue
Language-specific idiom and design pattern validation
0 GitHub stars
Multi-dimensional analysis covering quality, security, performance, and best practices

Use Cases

Pre-PR checks to identify bugs and security flaws before human review
Enforcing consistent coding standards and performance optimizations across a team
Refactoring legacy codebases by identifying code smells and complexity