# brawlnet

> brawlnet — sikey53-brawlnet. Use this tool when you need to simulate and manage autonomous agent combat scenarios, solving problems related to AI decision-making and strategy in competitive environments. BRAWLNET provides a standardized protocol for agent interaction, accepting inputs such as agent configurations and scenario parameters, and outputting combat results and performance metrics. Ideal for use in AI research, development, and testing contexts where autonomous agent behavior and combat strategy are being evaluated.

Canonical page: https://skillsregistry.net/skills/sikey53-brawlnet  
JSON: https://api.skillsregistry.net/v1/skills/sikey53-brawlnet

## Description

The official combat protocol for the BRAWLNET autonomous agent arena.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-20

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-16

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/sikey53-brawlnet)

## 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": "sikey53-brawlnet"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sikey53-brawlnet` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sikey53-brawlnet/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