What is the Multi-Pass Review strategy?

It is a methodology that breaks down code review into five focused stages: Architecture, Logic, Security, Tests, and Style. This ensures that reviewers don't miss high-level design flaws while focusing on minor syntax issues.

Which programming languages does the Code Reviewer skill support?

It provides deep, specialized support for Python, JavaScript, and TypeScript, including language-specific pattern guides. However, its general review methodology can be applied to any programming language.

Does this skill include automated security scanning?

Yes, it includes specialized Python scripts for complexity analysis and security scanning to detect common vulnerabilities like SQL injection, XSS, and hardcoded secrets before the manual review begins.

How does AI collaboration improve code reviews?

The skill can trigger 'ai_consensus' or 'ai_debate' workflows, allowing different AI models to weigh in on complex architectural decisions or security-critical code paths to provide a balanced perspective.

Code Reviewer

Name: Code Reviewer
Author: nikhillinit

bynikhillinit

0•

Herramientas de Colaboración

Conducts comprehensive multi-AI code reviews for Python, JavaScript, and TypeScript using automated analysis and structured methodologies.

The Code Reviewer skill equips Claude with a robust framework for evaluating code quality, security, and performance across major programming languages. It combines automated scripts for complexity and security analysis with a methodical five-pass review strategy that covers architecture, logic, security, testing, and style. Beyond simple linting, it leverages multi-AI collaboration capabilities—such as consensus-seeking and architectural debates—to resolve complex implementation decisions, ensuring your codebase remains secure, maintainable, and performant while providing actionable, severity-based feedback.

Características Principales

01Standardized severity-based feedback templates

02Automated security and complexity analysis scripts

03Multi-pass review strategy (Architecture, Logic, Security, Tests, Style)

04Language-specific best practice guides for Python, JS, and TS

05Multi-AI collaboration for architectural consensus and debates

060 GitHub stars

Casos de Uso

01Standardizing team code quality with structured feedback guides

02Auditing pull requests for security vulnerabilities and logic errors

03Evaluating complex architectural trade-offs using AI consensus

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nikhillinit/updog_restore code-reviewer

For use in Claude.ai and ChatGPT

Download Skill