review-engine

Automate code reviews by analyzing changes with security and performance criteria.

1|Updated Jun 3, 2026
One-click install
npx skills add https://github.com/SchSeba/ai-plugins --skill review-engine-schseba
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-engine
Source: https://github.com/SchSeba/ai-plugins/tree/main/skills/review-engine
Command: npx skills add https://github.com/SchSeba/ai-plugins --skill review-engine-schseba

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires git, codegraph, Subagent, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the complexity and time-consuming nature of code reviews by providing a comprehensive, multi-perspective review engine.

Core Features & Use Cases

  • Multi-Perspective Reviews: Offers security, performance, language-specific, and other relevant reviews.
  • Parallel Reviewers: Utilizes specialized sub-agents for parallel reviews to reduce time and ensure thoroughness.
  • Cross-Cutting Analysis: Performs end-to-end user flow tracing, state assumption auditing, and data boundary following.
  • Verdict Rendering: Provides a structured summary of findings and a clear verdict on the code changes.
  • Use Case: For a developer working on a large codebase, this Skill can be integrated into their workflow to ensure code quality and security.

Quick Start

Run the review-engine skill with the command: /review-engine review https://github.com/owner/repo/pull/42

Frequently Asked Questions about review-engine

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

FAQPage Schema
How do I automate code reviews for pull requests?▼

Automating code reviews for pull requests involves analyzing code changes, applying security and performance criteria, and orchestrating parallel reviews. This engine uses sub-agents to provide a structured summary and a clear verdict on the changes.

What is multi-perspective code review and how does it work?▼

Multi-perspective code review analyzes code changes by applying security, performance, and language-specific criteria simultaneously. It utilizes specialized sub-agents for parallel reviews to reduce time and ensure thoroughness across different analysis dimensions.

Does the parallel code review engine work with local Git diffs?▼

Yes, the parallel code review engine works with local Git diffs. It requires Git and various code analysis tools to process changes, performing cross-cutting analysis like end-to-end user flow tracing and state assumption auditing.

Can I use sub-agents to parallelize security and performance reviews?▼

Yes, you can use sub-agents to parallelize security and performance reviews. The engine utilizes specialized sub-agents to conduct parallel reviews, reducing time and ensuring thoroughness across multiple analysis perspectives.

What's the best way to trace user flows and audit state assumptions during code reviews?▼

The best way to trace user flows and audit state assumptions is through cross-cutting analysis. The engine performs end-to-end user flow tracing, state assumption auditing, and data boundary following to deliver a structured summary of findings.

Do I need Git and code analysis tools to run automated code reviews?▼

Yes, you need Git and various code analysis tools to run automated code reviews. These dependencies are required to gather context and orchestrate the parallel reviews for security, performance, and language-specific criteria.