Omega Critique

Automates anonymous multi-agent code-artifact review with consensus scoring and remediation guidance.

1|Updated Nov 24, 2025
One-click install
npx skills add https://github.com/SpiralCloudOmega/DevTeam6 --skill omega-critique
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Omega Critique
Source: https://github.com/SpiralCloudOmega/DevTeam6/tree/main/.github/omega/skills/omega-critique
Command: npx skills add https://github.com/SpiralCloudOmega/DevTeam6 --skill omega-critique

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Facilitates rigorous, unbiased evaluation of software artifacts by distributing reviews across anonymous expert agents, ensuring issues are surfaced with remediation.

Core Features & Use Cases

  • Anonymous multi-agent critique: independent reviews by multiple agents, reducing bias.
  • Quorum-based decision making: findings pass only when consensus criteria are met, with remediation required.
  • Structured outputs: standardized findings, scores, and remediation guidance for easy integration into workflows.

Quick Start

Submit an artifact for review and obtain a structured set of findings through the Omega Critique workflow.

Frequently Asked Questions about Omega Critique

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

FAQPage Schema
What is anonymous multi-agent code review and how does it reduce bias?

Anonymous multi-agent code review distributes artifact evaluation across independent LLM agents. This peer-review mechanism ensures agents assess artifacts without mutual influence, reducing bias and surfacing issues with required remediation.

How do I automate peer-review workflows for security audits and architecture reviews?

Automate peer-review workflows by submitting software artifacts to an LLM council. The system applies configurable rubrics and quorum-based decision making to generate structured findings, scores, and remediation guidance.

Can I configure quorum and rubrics for consensus-based code reviews?

Yes, you can configure quorum and rubrics for consensus-based code reviews. The multi-agent critique workflow enforces these consensus criteria, ensuring findings pass only when quorum thresholds are met and remediation is required.

Does multi-agent LLM code review output structured findings for CI/CD integration?

Multi-agent LLM code review outputs standardized structured findings, scores, and remediation guidance. This standardized format is designed for easy integration into automated software engineering workflows and peer-review pipelines.

What are the limitations of using an LLM council for architecture review?

LLM council architecture reviews depend on quorum-based consensus, meaning valid findings lacking agent agreement may be excluded. Reviews are automated evaluations and require human verification of remediation guidance for security audits.