·multi-ai-code-review
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multi-ai-code-review

adaptationio/skrillz

Multi-perspective code review using Claude, Gemini, and Codex as specialized agents. 5-dimensional analysis (security, performance, maintainability, correctness, style) with LLM-as-judge consensus, quality scoring, and CI/CD integration. Use when reviewing PRs, auditing code quality, preparing production releases, or establishing code review workflows.

7Installs·0Trend·@adaptationio

Installation

$npx skills add https://github.com/adaptationio/skrillz --skill multi-ai-code-review

SKILL.md

multi-ai-code-review provides comprehensive code review using multiple AI models as specialized agents, each analyzing code from a different perspective. Based on 2024-2025 best practices for AI-assisted code review.

Purpose: Multi-perspective code quality assessment using AI ensemble with human oversight

| Security | Security Specialist | OWASP Top 10, secrets, injection | 25% | | Performance | Performance Engineer | Complexity, memory, latency | 20% | | Maintainability | Architect | Patterns, modularity, DRY | 25% | | Correctness | QA Engineer | Logic, edge cases, tests | 20% | | Style | Nitpicker | Naming, formatting, conventions | 10% |

Multi-perspective code review using Claude, Gemini, and Codex as specialized agents. 5-dimensional analysis (security, performance, maintainability, correctness, style) with LLM-as-judge consensus, quality scoring, and CI/CD integration. Use when reviewing PRs, auditing code quality, preparing production releases, or establishing code review workflows. Source: adaptationio/skrillz.

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Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/adaptationio/skrillz --skill multi-ai-code-review
Category
</>Dev Tools
Verified
First Seen
2026-02-01
Updated
2026-02-18

Quick answers

What is multi-ai-code-review?

Multi-perspective code review using Claude, Gemini, and Codex as specialized agents. 5-dimensional analysis (security, performance, maintainability, correctness, style) with LLM-as-judge consensus, quality scoring, and CI/CD integration. Use when reviewing PRs, auditing code quality, preparing production releases, or establishing code review workflows. Source: adaptationio/skrillz.

How do I install multi-ai-code-review?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/adaptationio/skrillz --skill multi-ai-code-review Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/adaptationio/skrillz