# AIbattleroom

> AIbattleroom — sxcvicky-aibattleroom. Use this tool when you need to simulate debates or arguments between AI agents to test their language understanding and generation capabilities. AIbattleroom solves problems related to evaluating AI models' ability to engage in natural-sounding discussions and respond to opposing viewpoints. It takes in AI models and scenarios as inputs and outputs debate transcripts and evaluation metrics, ideal for use in AI research and development contexts.

Canonical page: https://skillsregistry.net/skills/sxcvicky-aibattleroom  
JSON: https://api.skillsregistry.net/v1/skills/sxcvicky-aibattleroom

## Description

AI吵架房

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/sxcvicky/AIbattleroom)

## 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": "sxcvicky-aibattleroom"
    }
  }
}
```

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

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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