How are findings categorized in the review?

Findings are categorized into three levels: Severe (blocking issues like security risks), Moderate (should fix before merge), and Minor (style or optimization suggestions).

What is the 'Fresh Eyes' review approach?

It is a systematic, checklist-driven methodology that ensures every aspect of the code—from type safety to security—is verified independently of the developer's initial intent.

Does this skill work with Rust codebases?

Yes, it includes specialized checks for Rust idioms, clippy/rustfmt compliance, ownership/borrowing patterns, and proper Error type handling.

Can this be used for Pull Request reviews?

Absolutely. It is designed to act as a quality gate for pre-merge reviews, providing a structured summary that helps teams make informed decisions about shipping code.

Professional Code Review

Name: Professional Code Review
Author: outfitter-dev

byoutfitter-dev

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Seguridad y Pruebas

Conducts systematic, checklist-based code reviews to identify security risks, type safety issues, and architectural improvements before committing.

This skill transforms Claude into a rigorous code reviewer, implementing a multi-stage quality gate for your development workflow. It follows a structured protocol to evaluate code against comprehensive checklists covering type safety, security, performance, and documentation. By providing detailed findings with severity ratings and concrete remediation steps, it ensures that only high-quality, production-ready code passes through your pre-commit or pre-merge phase, specifically optimized for Bun and Rust-based environments.

Características Principales

012 GitHub stars

02Automated summary reports with clear ship or rework recommendations

03Multi-stage review protocol including announcement, checklist, and deep-dive phases

04Strict type safety and error handling verification for TypeScript and Rust

05Severity-rated findings with impact analysis and actionable remediation steps

06Comprehensive security auditing for XSS, CSRF, and sensitive data handling

Casos de Uso

01Pre-commit quality gates to prevent bugs and security flaws from reaching the repository

02Standardizing code quality across teams using a shared, evidence-based checklist

03Systematic security audits for critical infrastructure and public-facing APIs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add outfitter-dev/outfitter code-review

For use in Claude.ai and ChatGPT

Download Skill