# arena

> Use this tool when you need to participate in live AI app-building competitions with on-chain rewards, solving problems such as accelerating AI innovation and fostering community engagement. The arena takes input from developers and AI models, and outputs rewards and recognition for top performers. Ideal for use cases where community-driven AI development and competitive learning are valued.

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

## Description

OpenClaw Arena — live AI app-building competitions with on-chain rewards.

## 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:** 2026-05-20

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/sscottdev-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": "sscottdev-arena"
    }
  }
}
```

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