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CES-Ltd
CES-LtdOFFICIAL
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skill-code-review

Conduct multi-AI code reviews for quality, security, and architecture.

28|3|Updated May 10, 2026
Search Tags:#quality assurance#code review#security analysis#architecture review#automated review#multi-LLM
One-click install
npx skills add https://github.com/CES-Ltd/Lumi --skill skill-code-review-ces-ltd
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-code-review
Source: https://github.com/CES-Ltd/Lumi/tree/main/resources/seed/octopus/skills/skill-code-review
Command: npx skills add https://github.com/CES-Ltd/Lumi --skill skill-code-review-ces-ltd

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables comprehensive code reviews by integrating multiple AI models to assess code quality, security vulnerabilities, and architectural soundness, streamlining development assurance.

Core Features & Use Cases

  • Multi-Provider Synthesis: Combines insights from diverse AI models to produce a well-rounded review.
  • Security & Quality Analysis: Detects vulnerabilities and suggests quality improvements.
  • Use Case: For a developer submitting a pull request, this Skill automatically performs an in-depth review, highlighting potential security issues and code smells before merge.

Quick Start

Use the skill to review the code changes in the current repository by invoking the multi-LLM review pipeline through the provided scripts.

Frequently Asked Questions about skill-code-review

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

FAQPage Schema
How do I automate code review for a pull request to check security and quality?▼

Automated code review for a pull request is handled by invoking the multi-LLM pipeline through provided scripts. This assesses code quality, highlights security vulnerabilities, and detects code smells before merge.

What is multi-LLM code review and how does it assess architecture?▼

Multi-LLM code review combines insights from diverse AI models to produce a well-rounded assessment. It evaluates architectural soundness and code robustness by synthesizing varied perspectives on the submitted code changes.

Can I use multi-model security analysis for commits in my development workflow?▼

Yes, you can use multi-model security analysis for commits within your development workflow. The review pipeline evaluates code submissions to ensure compliance with best practices and robustness against vulnerabilities.

Does multi-LLM code review require any external dependencies or API keys?▼

No external dependencies are required to run the multi-LLM code review Skill itself. It operates using included scripts and references to synthesize quality, security, and architecture insights from code submissions.

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