# Arena System

> Adversarial self-improvement for AI agents. Reduces hallucinations through Agent vs Anti-Agent debate loops.

- Skill: `modbender/arena-system` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add modbender/arena-system`
- Raw SKILL.md: https://api.skillmd.com/api/skills/modbender/arena-system/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: modbender (https://skillmd.com/u/modbender)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/modbender/arena-system

---


# Arena System

Adversarial self-improvement framework for AI agents.

## What it does

Give one agent two personas:
- **Agent** - Does the work, writes reports
- **Anti-Agent** - Questions everything, writes counter-reports

They take turns critiquing each other until you stop them.

## Why use it

AI agents are overconfident. They hallucinate. Arena forces them to question their own outputs by arguing with themselves.

## Setup

```bash
./setup.sh ~/my-arena
```

Creates:
```
my-arena/
├── state.json
├── prompts/agent.md
├── prompts/anti-agent.md
└── outputs/
```

## Usage

Add to HEARTBEAT.md:
1. Read `state.json` → whose turn?
2. Run that persona
3. Write to `outputs/{role}/iteration_N.md`
4. Switch turns, save state

## Config

`state.json`:
```json
{
  "current_turn": "agent",
  "iteration": 0,
  "topic": "my-project",
  "active": true,
  "max_iterations": 10
}
```

## Results

Prevents premature deployments, catches bugs, forces proper validation before going live.