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DonTizi
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code-review

Automate code reviews for security, performance, and maintainability issues.

2|Updated Jan 29, 2026
Search Tags:#automation#performance#security#maintainability#static-analysis#code-review#pull-request
One-click install
npx skills add https://github.com/DonTizi/CodeGeass --skill code-review-dontizi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/DonTizi/CodeGeass/tree/main/.claude/skills/code-review
Command: npx skills add https://github.com/DonTizi/CodeGeass --skill code-review-dontizi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automated code reviews with a focus on security, performance, and maintainability. Use when reviewing code changes, PRs, or performing scheduled audits.

Core Features & Use Cases

  • Automated security checks: Identify vulnerabilities, insecure patterns, and compliance gaps.
  • Performance & maintainability analysis: Spotlight N+1 queries, code smells, and refactoring opportunities.
  • PR & audit workflows: Provide actionable feedback for code changes during pull requests or scheduled checks.
  • Use Case: For a multi-repo project, run nightly reviews across forks to catch critical issues before merging.

Quick Start

Run an automated code-review on the current project to identify security, performance, and maintainability issues.

Frequently Asked Questions about code-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate code reviews to identify security and performance issues in pull requests?▼

Automated code review analyzes code changes to identify security, performance, and maintainability issues during pull requests. It conducts context gathering and static analysis to provide structured feedback with file-level issues and severity ratings.

What is the best way to catch vulnerabilities and code smells before merging multi-branch codebases?▼

The best way to catch vulnerabilities and code smells is running automated code reviews across multi-branch codebases. This process spots insecure patterns, N+1 queries, and refactoring opportunities before merging.

Can I run automated code reviews for scheduled audits across multiple forks?▼

Yes, you can run automated code reviews for scheduled audits across multiple forks. This allows you to perform nightly reviews to catch critical issues and compliance gaps before merging changes.

Does automated static analysis provide actionable feedback for code changes?▼

Automated static analysis provides actionable feedback for code changes by generating structured output. It highlights file-level issues with severity ratings, pinpointing specific security vulnerabilities, performance bottlenecks, and maintainability concerns.

How do code reviews detect maintainability issues and refactoring opportunities?▼

Code reviews detect maintainability issues and refactoring opportunities by analyzing code changes for code smells and performance bottlenecks like N+1 queries. This automated analysis highlights areas needing improvement to ensure long-term codebase health.

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