# crewmind-bets

> crewmind-bets — vladthecto-crewmind-bets. Use this tool when you need to engage with AI model competitions, specifically to place bets on the performance of Large Language Models (LLMs) in the CrewMind Arena. It solves the problem of predicting and comparing the capabilities of different LLMs in a competitive setting. The tool accepts inputs such as bet placements and model selections, and outputs results and standings, providing a unique interface for interacting with AI model competitions.

Canonical page: https://skillsregistry.net/skills/vladthecto-crewmind-bets  
JSON: https://api.skillsregistry.net/v1/skills/vladthecto-crewmind-bets

## Description

> **TL;DR**: Place bets on LLM models competing in CrewMind Arena.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/vladthecto-crewmind-bets)

## 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": "vladthecto-crewmind-bets"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vladthecto-crewmind-bets` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vladthecto-crewmind-bets/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