review-agent

Review code for bugs, vulnerabilities, and maintainability issues with file-level feedback.

Updated Dec 3, 2025
One-click install
npx skills add https://github.com/Unicorn/Radium --skill review-agent-unicorn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-agent
Source: https://github.com/Unicorn/Radium/tree/main/skills/core/review-agent
Command: npx skills add https://github.com/Unicorn/Radium --skill review-agent-unicorn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The review-agent addresses the challenge of delivering fast, consistent, and actionable code reviews by identifying bugs, security vulnerabilities, style regressions, and testing gaps so teams can ship safer, higher-quality software.

Core Features & Use Cases

  • Bug & Vulnerability Detection: Pinpoint logic errors, insecure patterns, and potential exploit vectors in source code and pull requests.
  • Quality & Maintainability Guidance: Recommend refactors, naming improvements, and abstraction adjustments to reduce technical debt.
  • Testing & Coverage Advice: Assess unit and integration test coverage and suggest targeted tests for edge cases.
  • Performance and Best Practices: Highlight inefficient algorithms, N+1 query patterns, and resource management issues.
  • Use Case: A reviewer applies the agent to a pull request to get a structured review with critical security findings, major correctness issues, and a prioritized list of remediation steps.

Quick Start

Use the review-agent to analyze the repository path src/ and produce a structured code review report including critical issues, recommendations, and suggested tests.

Frequently Asked Questions about review-agent

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

FAQPage Schema
How do I automate code review for bugs and security vulnerabilities in a pull request?▼

Automating code review for bugs and security vulnerabilities in pull requests requires analyzing source code to pinpoint logic errors and insecure patterns. The review-agent applies this process to produce structured, actionable feedback with file-level locations and severity classifications.

What is the best way to identify N+1 query patterns and performance issues in source code?▼

Identifying N+1 query patterns and performance issues in source code requires highlighting inefficient algorithms and resource management problems. The review-agent applies these performance and best practice checks to generate prioritized remediation recommendations.

How do I assess test coverage and suggest targeted tests for edge cases?▼

Assessing test coverage and suggesting targeted tests for edge cases requires evaluating unit and integration test suites to find gaps. The review-agent provides testing and coverage advice to help developers build targeted tests for missed edge cases.

Can I use an automated review tool to reduce technical debt and improve code maintainability?▼

You can use an automated review tool to reduce technical debt and improve code maintainability by recommending refactors, naming improvements, and abstraction adjustments. The review-agent delivers quality and maintainability guidance to address these specific code issues.

Does the code review process work on individual code snippets or only full repositories?▼

The code review process works on both individual code snippets and full software repositories. The review-agent can analyze repository paths and apply its review logic to pull requests or specific code snippets to identify maintainability issues and bugs.