sadd:judge-with-debate

Coordinates scored debates between AI judges to reach a consensus on submissions.

Updated Apr 6, 2026
One-click install
npx skills add https://github.com/luicabref97/sushi-jungle-web --skill sadd-judge-with-debate-luicabref97
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sadd:judge-with-debate
Source: https://github.com/luicabref97/sushi-jungle-web/tree/main/.agents/skills/sadd-judge-with-debate
Command: npx skills add https://github.com/luicabref97/sushi-jungle-web --skill sadd-judge-with-debate-luicabref97

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill coordinates an automated, multi-agent evaluation workflow using a meta-judge and three independent judges to converge on a consensus score for a given solution.

Core Features & Use Cases

  • Meta-judge driven rubrics: Generates a reusable evaluation specification that guides all judges across rounds.
  • Independent analysis + debate: Separates initial scoring from debate rounds to avoid groupthink and ensure evidence-based justification.
  • Consensus-driven evaluation: Iterative rounds (up to three) converge on a weighted final score with a consensus report.

Quick Start

Initiate Phase 0.5 meta-judge, then Phase 1 independent judges, and up to three debate rounds to reach a consensus score.

Frequently Asked Questions about sadd:judge-with-debate

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

FAQPage Schema
How do I coordinate multi-agent debate for consensus-driven evaluation?

Multi-agent debate for consensus-driven evaluation is coordinated by a meta-judge that generates a rubric specification, followed by three independent judge reports and iterative debate rounds to converge on a final score. This workflow applies to code, design proposals, and documentation.

What is a meta-judge evaluation specification YAML used for?

A meta-judge evaluation specification YAML defines reusable rubrics that guide all independent judges through initial scoring and debate rounds. It ensures evidence-based justification and structured consensus across multiple evaluation perspectives.

How do I avoid groupthink when running multi-agent evaluations?

To avoid groupthink in multi-agent evaluations, separate the initial independent scoring phase from the debate rounds. This ensures three independent judge reports provide distinct perspectives before converging on a consensus score through iterative debate.

Does multi-agent debate evaluation work for design proposals and documentation?

Multi-agent debate evaluation works for design proposals, documentation, and code where objective scoring requires multiple perspectives. The meta-judge generates rubrics to evaluate these artifacts and converge on a weighted final score.

How many debate rounds are needed to reach a consensus score?

Up to three iterative debate rounds are needed to reach a consensus score. The workflow begins with a Phase 0.5 meta-judge and Phase 1 independent judges, then progresses through debate rounds to produce a weighted final score with a consensus report.

What are the limitations of consensus-driven multi-agent evaluation?

Limitations of consensus-driven multi-agent evaluation include the requirement for a generated evaluation specification YAML, three independent judge reports, and a filesystem-based debate protocol. Without these prerequisites, the evaluation workflow cannot execute or converge on a final score.