code-review

Automates code reviews with security scanning and CI/CD integration.

1|Updated Nov 20, 2025
One-click install
npx skills add https://github.com/v1truv1us/anthropic-plugin-converter --skill code-review-v1truv1us
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/v1truv1us/anthropic-plugin-converter/tree/main/anthropic-plugins/code-review
Command: npx skills add https://github.com/v1truv1us/anthropic-plugin-converter --skill code-review-v1truv1us

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI-powered reviews help teams quickly identify security issues, performance bottlenecks, and maintainability problems in codebases, reducing review time and lowering risk.

Core Features & Use Cases

  • AI-powered analysis across security, performance, and maintainability.
  • Automated security scanning with configurable rules and remediation suggestions.
  • Integration with CI/CD, Git hooks, and IDEs for seamless workflows.
  • Use Case: teams can enforce best practices on pull requests and auto-generate actionable feedback.

Quick Start

Install the CLI and run a review on your codebase to automatically assess security, performance, and maintainability.

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I automate security scanning on pull requests for JavaScript and Python projects?

You can automate security scanning on pull requests by integrating AI-powered code reviews into your CI/CD pipelines. This enforces best practices across JavaScript, TypeScript, Python, and Java projects while automatically uncovering vulnerabilities.

What's the best way to set up AI-powered code reviews in CI/CD pipelines?

The best way to set up AI-powered code reviews is by integrating the tool directly into your CI/CD pipelines and Git hooks. This provides automated analysis, security scanning, and performance insights during your software development workflow.

Does this code review automation work with existing IDEs and Git hooks?

Yes, this code review automation supports integration with IDEs and Git hooks. This allows teams to enforce best practices seamlessly within their existing development environments without disrupting their workflow.

Can I configure custom rule sets for automated security checks?

Yes, you can configure custom rule sets for automated security checks. The tool applies configurable rules to your software repositories, generating AI-assisted feedback and remediation suggestions for identified vulnerabilities.

How does AI-assisted feedback identify performance bottlenecks and maintainability issues?

AI-assisted feedback identifies performance bottlenecks and maintainability issues by applying comprehensive automated analysis to your codebase. This helps teams quickly pinpoint problems and reduce overall review time and risk.

What are the limitations of using AI for code reviews on large software repositories?

While AI code reviews automate security scanning and performance insights across supported languages, teams must still validate AI-assisted feedback and remediation suggestions. Complex architectural context may require manual review to ensure accuracy.