ric-code-review

Automate code review for RIC projects, identifying security vulnerabilities, data loss, and regressions.

Updated Jun 4, 2026
One-click install
npx skills add https://github.com/lichong-a/ric-skills --skill ric-code-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ric-code-review
Source: https://github.com/lichong-a/ric-skills/tree/main/skills/ric-code-review
Command: npx skills add https://github.com/lichong-a/ric-skills --skill ric-code-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill simplifies the code review process, ensuring quality, compliance with RIC conventions, and identifying potential issues early.

Core Features & Use Cases

  • Comprehensive Code Review: Analyzes code, diffs, pull requests, and architecture changes.
  • Prioritization of Issues: Identifies and prioritizes issues like data loss, security risks, and functional regressions.
  • Detailed Reports: Generates detailed findings with severity, file and line numbers, and suggested fixes.
  • Use Case: Use this skill to review a pull request and automatically identify potential security vulnerabilities and missing tests.

Quick Start

Run the ric-code-review skill on a pull request to get a detailed review report.

Frequently Asked Questions about ric-code-review

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

FAQPage Schema
How do I automate code review to identify security vulnerabilities in RIC projects?

Automating code review for RIC projects involves analyzing pull requests and architecture changes to detect security vulnerabilities, data loss, and functional regressions. This process generates detailed reports with severity, file locations, and suggested fixes.

What is the best way to check RIC convention compliance during a pull request?

Checking RIC convention compliance during a pull request requires analyzing the codebase and external dependencies against established RIC standards. This ensures quality and compliance by identifying potential issues early in the development cycle.

Can I prioritize functional regressions and data loss risks when reviewing code diffs?

Yes, you can prioritize functional regressions and data loss risks when reviewing code diffs by applying an automated analysis that identifies and ranks potential issues. This prioritization highlights critical security vulnerabilities and missing tests.

Does automated code review work with architecture changes and external dependencies?

Automated code review works with architecture changes and external dependencies by requiring a thorough analysis of the entire codebase. It detects functional regressions and security vulnerabilities across the project structure.

What types of issues can I detect by automating code review for RIC applications?

By automating code review for RIC applications, you can detect security vulnerabilities, data loss, and functional regressions. The analysis identifies missing tests and compliance issues, providing detailed findings with suggested fixes.