Which programming languages are supported?

While it provides general logic and security checks for all languages, it features specialized patterns and best practices for Python, JavaScript, and TypeScript.

How does the skill report its findings?

It provides a structured markdown report including a summary, critical issues with line numbers, suggested improvements, and a final merge verdict.

Can this skill find security vulnerabilities?

Yes, it specifically scans for SQL injection, XSS, hardcoded credentials, and insecure dependencies using a dedicated security checklist.

Does it integrate with other developer tools?

Yes, the skill suggests and can help run CLI tools like npm audit, pip-audit, and complexity checkers like radon during the review process.

Professional Code Review

Name: Professional Code Review
Author: msober

bymsober

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Collaboration Tools

Performs comprehensive code audits for security, performance, and maintainability using a structured senior-engineer approach.

About

The Professional Code Review skill transforms Claude into an expert reviewer capable of conducting deep technical audits. It utilizes a rigorous checklist to identify critical security vulnerabilities like injection and authentication flaws, detects performance bottlenecks such as N+1 queries, and enforces maintainability best practices. By providing standardized feedback templates and specific command-line suggestions for security scans, this skill helps developers catch bugs early, reduce technical debt, and ensure high-quality code merges across Python, JavaScript, and other major languages.

Key Features

Performance profiling to identify N+1 queries and resource leaks
Maintainability checks for code complexity, naming, and duplication
10 GitHub stars
Security-first analysis covering injection, auth flaws, and data exposure
Standardized review output with impact assessments and suggested fixes
Integrated CLI command recommendations for automated security and complexity scanning

Use Cases

Refactoring complex logic by identifying deep nesting and high cyclomatic complexity
Performing security-focused reviews on legacy codebases to identify vulnerabilities
Automating the initial audit of pull requests to catch common anti-patterns

About

Key Features

Performance profiling to identify N+1 queries and resource leaks
Maintainability checks for code complexity, naming, and duplication
10 GitHub stars
Security-first analysis covering injection, auth flaws, and data exposure
Standardized review output with impact assessments and suggested fixes
Integrated CLI command recommendations for automated security and complexity scanning

Use Cases

Refactoring complex logic by identifying deep nesting and high cyclomatic complexity
Performing security-focused reviews on legacy codebases to identify vulnerabilities
Automating the initial audit of pull requests to catch common anti-patterns