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fried-catfish

New
15GitHub TrendingGeneralby JamalMansuri

AI Framework with multi-agent tournament, deterministic Bradley-Terry scorer, human-gated writes — portable across Claude Code and Codex from a single MCP core.

First seen 6/8/2026

Summary

Fried Catfish is an AI framework that orchestrates multi-agent tournaments using a deterministic Bradley-Terry scorer, enabling robust evaluation and ranking of AI agents.

  • It features human-gated writes for safe, controlled execution and is portable across Claude Code and Codex from a single MCP core, making it ideal for testing and deploying multi-agent systems.

Install & Usage

1
Create the agents directory
mkdir -p .claude/agents
2
Save the agent file

Add the configuration to .claude/agents/fried-catfish.md

3
Invoke with @agent-name
@fried-catfish

Use Cases

Run a tournament to compare the performance of multiple AI agents on a set of benchmark tasks.
Use the Bradley-Terry scorer to generate a ranked leaderboard of agents based on pairwise comparisons.
Implement human-gated writes to review and approve agent-generated code or actions before execution.
Port an existing multi-agent workflow seamlessly between Claude Code and Codex environments.
Evaluate new agent architectures by pitting them against baseline agents in a controlled tournament.
Automate the selection of the best-performing agent for a specific task using deterministic scoring.

Usage Examples

1

/fried-catfish tournament --agents agent1,agent2,agent3 --tasks task1,task2 --scorer bradley-terry

2

Run a multi-agent tournament with human-gated writes to compare code generation agents.

3

/fried-catfish rank --results results.json --output leaderboard.json

View source on GitHub
mcpagent

Security Audits

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Frequently Asked Questions

What is fried-catfish?

Fried Catfish is an AI framework that orchestrates multi-agent tournaments using a deterministic Bradley-Terry scorer, enabling robust evaluation and ranking of AI agents. It features human-gated writes for safe, controlled execution and is portable across Claude Code and Codex from a single MCP core, making it ideal for testing and deploying multi-agent systems.

How to install fried-catfish?

To install fried-catfish: create the agents directory (mkdir -p .claude/agents), then add the config to .claude/agents/fried-catfish.md. Finally, @fried-catfish in Claude Code.

What is fried-catfish best for?

fried-catfish is a agent categorized under General. It is designed for: mcp, agent. Created by JamalMansuri.

What can I use fried-catfish for?

fried-catfish is useful for: Run a tournament to compare the performance of multiple AI agents on a set of benchmark tasks.; Use the Bradley-Terry scorer to generate a ranked leaderboard of agents based on pairwise comparisons.; Implement human-gated writes to review and approve agent-generated code or actions before execution.; Port an existing multi-agent workflow seamlessly between Claude Code and Codex environments.; Evaluate new agent architectures by pitting them against baseline agents in a controlled tournament.; Automate the selection of the best-performing agent for a specific task using deterministic scoring..