# arena

> arena — tim101010101-arena. Use this tool when you need to facilitate multi-agent interactions, such as debates, code reviews, and red-team challenges, in a controlled environment. The arena receives input via the Model Context Protocol (MCP) and integrates with git for code reviews, providing output in the form of evaluated interactions and feedback. It solves problems related to AI model evaluation, adversarial testing, and collaborative development, ideal for use cases requiring simulated conversations and competitive analysis.

Canonical page: https://skillsregistry.net/skills/tim101010101-arena  
JSON: https://api.skillsregistry.net/v1/skills/tim101010101-arena

## Description

Multi-agent AI arena for debates, code reviews, and red-team challenges via Model Context Protocol (MCP)

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/tim101010101/arena)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tim101010101-arena"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tim101010101-arena` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tim101010101-arena/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
