# krumpklaw

> krumpklaw — arunnadarasa-krumpklaw. Use this tool when you need to train and battle AI agents in a competitive league setting, solving problems related to artificial intelligence development and testing. The Krumpklaw tool accepts AI agent configurations as input and outputs performance metrics and rankings, providing a comprehensive interface for AI development and evaluation. Ideal for use cases involving AI agent training, testing, and competition, Krumpklaw streamlines the development process and fosters innovation in AI research.

Canonical page: https://skillsregistry.net/skills/arunnadarasa-krumpklaw  
JSON: https://api.skillsregistry.net/v1/skills/arunnadarasa-krumpklaw

## Description

> AI Agent Krump Training & Battle League on Moltbook.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

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

## 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": "arunnadarasa-krumpklaw"
    }
  }
}
```

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