tournament

Rank scientific hypotheses through pairwise debate using Elo ratings.

Updated Jul 3, 2026

Search Tags:#knowledge graph #research automation #hypothesis ranking #scientific debate #Elo ratings

Ready to run

npx skills add https://github.com/GiorgioRicciardiello/LabBrain --skill tournament-giorgioricciardiello

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: tournament
Source: https://github.com/GiorgioRicciardiello/LabBrain/tree/main/core/.claude/skills/tournament
Command: npx skills add https://github.com/GiorgioRicciardiello/LabBrain --skill tournament-giorgioricciardiello

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of ranking hypotheses through pairwise scientific debate using Elo ratings, eliminating the need for manual debate and analysis.

Core Features & Use Cases

Automated Debate: Conducts pairwise debates between hypotheses without manual input.
Elo Ranking: Uses Elo ratings to rank hypotheses based on debate outcomes.
Use Case: Ideal for research teams that want to efficiently evaluate and rank hypotheses generated by AI or human researchers.

Quick Start

Run the tournament skill to start the debate and ranking process for your hypotheses.

Frequently Asked Questions about tournament

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

FAQPage Schema

How do I automate the ranking of scientific hypotheses through debate?▼

Automating scientific hypothesis ranking through debate involves using pairwise comparisons and Elo ratings to evaluate and order hypotheses without manual intervention, requiring a knowledge graph and configuration files for debate parameters.

What is the Elo rating system for evaluating research hypotheses?▼

The Elo rating system for research hypotheses assigns numerical scores based on pairwise debate outcomes, dynamically adjusting rankings as hypotheses win or lose automated comparisons against each other.

How do I run a tournament for ranking AI-generated hypotheses?▼

To run a hypothesis ranking tournament, provide your AI-generated hypotheses and a knowledge graph, configure the debate parameters, and execute the skill to initiate automated pairwise debates and generate Elo-based rankings.

Do I need a knowledge graph to rank hypotheses using Elo ratings?▼

Yes, accessing a knowledge graph is required to rank hypotheses using Elo ratings, as it provides the contextual information necessary for the automated pairwise debate evaluation process to function correctly.

Can I use automated scientific debate for research automation workflows?▼

Yes, automated scientific debate is designed for research automation workflows, allowing research teams to efficiently evaluate and rank large sets of hypotheses generated by AI or human researchers using Elo ratings.

What are the limitations of using pairwise debate for hypothesis evaluation?▼

Pairwise debate for hypothesis evaluation requires configuration files for debate parameters and access to a knowledge graph, meaning its ranking accuracy depends heavily on the quality and scope of the underlying knowledge graph data.