What security vulnerabilities does the AI check for?

The security reviewer focuses on the OWASP Top 10, including SQL injection, XSS prevention, CSRF protection, and secure dependency management.

Does this skill handle automated testing?

Yes, Phase 1 includes automated triggers for linters, unit tests, integration tests, and coverage analyzers to ensure code meets basic requirements before expert review.

Can I customize the review gates?

Yes, the skill defines success criteria such as 80% overall coverage and zero linting violations, which can be adapted to your project's specific standards.

How long does the full code review process take?

The SOP is designed for a thorough 4-hour timeline, divided into automated checks (30m), specialized reviews (2h), integration assessment (1h), and final approval (30m).

Professional Code Review Workflow

Name: Professional Code Review Workflow
Author: DNYoussef

byDNYoussef

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Collaboration Tools

Orchestrates a comprehensive multi-agent code review process covering security, performance, architecture, and documentation quality.

About

The Professional Code Review Workflow is a high-level Standard Operating Procedure (SOP) designed for teams that require rigorous quality assurance. It coordinates a swarm of specialized AI agents to analyze pull requests across four distinct phases: automated quality gates, parallel expert reviews, integration impact assessment, and final approval routing. By moving beyond simple syntax checking, this skill provides deep insights into architectural consistency, security vulnerabilities (OWASP Top 10), and performance bottlenecks, ensuring every code change meets enterprise-grade standards within a predictable 4-hour timeline.

Key Features

Multi-agent coordination using a star topology for domain-specific expertise
Automated quality gates for linting, test coverage (>90% for new code), and build status
Specialized security auditing for authentication, data protection, and injection risks
Deep architectural analysis ensuring SOLID principles and design pattern consistency
Impact assessment for deployment, user experience, and overall system risk
2 GitHub stars

Use Cases

Automating the feedback loop for developers to reduce senior reviewer fatigue
Standardizing pull request quality across large engineering organizations
Performing deep security and performance audits on mission-critical features

About

Key Features

Multi-agent coordination using a star topology for domain-specific expertise
Automated quality gates for linting, test coverage (>90% for new code), and build status
Specialized security auditing for authentication, data protection, and injection risks
Deep architectural analysis ensuring SOLID principles and design pattern consistency
Impact assessment for deployment, user experience, and overall system risk
2 GitHub stars

Use Cases

Automating the feedback loop for developers to reduce senior reviewer fatigue
Standardizing pull request quality across large engineering organizations
Performing deep security and performance audits on mission-critical features