sadd:judge-with-debate

Orchestrate multi-agent debates to evaluate solutions and report consensus.

Updated Mar 4, 2026
One-click install
npx skills add https://github.com/dalawwa/labor-methods --skill sadd-judge-with-debate
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sadd:judge-with-debate
Source: https://github.com/dalawwa/labor-methods/tree/main/.cek/plugins/sadd/skills/judge-with-debate
Command: npx skills add https://github.com/dalawwa/labor-methods --skill sadd-judge-with-debate

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Evaluates solutions through structured, multi-agent debate to improve evaluation quality and reduce bias.

Core Features & Use Cases

  • Independent analyses from multiple judges with explicit evidence-based scoring.
  • Iterative debate rounds where judges defend, challenge, and revise assessments.
  • Consensus-oriented reporting that aggregates scores and documents disagreements for auditability.
  • Applicable to software design, algorithm proposals, code reviews, and architectural decisions where reliable judgment matters.

Quick Start

Initiate a three-judge debate on your solution and monitor the evaluation until consensus is reached.

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 reduce bias when evaluating software design proposals?

Multi-agent debate reduces bias in software design evaluation by assigning independent judges to analyze proposals, followed by iterative debate rounds where judges defend, challenge, and revise their evidence-based scoring.

What is the best way to reach consensus on architectural decisions?

Reaching consensus on architectural decisions is best achieved through multi-agent debates that provide independent analyses from multiple judges, structured debate rounds, and final consensus reporting that aggregates scores and documents disagreements.

How does a multi-agent debate work for code review quality assurance?

Multi-agent debate for code review quality assurance works by deploying three judges to independently evaluate the solution, followed by iterative rounds where they defend and challenge assessments until a consensus-oriented report aggregates the final scores.

Can I use multi-agent consensus evaluation for algorithm proposals?

Multi-agent consensus evaluation is applicable to algorithm proposals, providing independent analyses from multiple judges with explicit evidence-based scoring, iterative debate rounds, and auditability through documented disagreements in the final consensus report.

When do I need structured debate rounds for solution evaluation?

Structured debate rounds for solution evaluation are needed when reliable judgment matters for software tasks, designs, and proposals, ensuring that biased or low-quality assessments are mitigated through independent analyses and consensus reporting.

Does multi-agent debate reporting document disagreements for auditability?

Multi-agent debate reporting documents disagreements for auditability by generating consensus-oriented reports that aggregate evidence-based scores from multiple judges while explicitly recording the contested points raised during the iterative debate rounds.