# arc-world-engine-mcp

> arc-world-engine-mcp — junxiangyang0707-hash-arc-agi-3-world-model-lab. Use this tool when you need to interact with a complex world model, such as ARC-AGI-3, to edit actors and rules, simulate scenarios, render visuals, or compare observations. It provides a range of typed operations for deterministic simulation and rendering, enabling precise control and analysis. Ideal for applications requiring detailed world modeling and simulation, such as AI research, game development, or scenario planning.

Canonical page: https://skillsregistry.net/skills/junxiangyang0707-hash-arc-agi-3-world-model-lab  
JSON: https://api.skillsregistry.net/v1/skills/junxiangyang0707-hash-arc-agi-3-world-model-lab

## Description

Enables interaction with an explicit ARC-AGI-3 world model through typed operations for actor/rule editing, deterministic simulation, rendering, and observation comparison.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/erlsrio7bu)
- **Repository:** <https://github.com/junxiangyang0707-hash/arc-agi-3-world-model-lab>

## 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": "junxiangyang0707-hash-arc-agi-3-world-model-lab"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/junxiangyang0707-hash-arc-agi-3-world-model-lab` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/junxiangyang0707-hash-arc-agi-3-world-model-lab/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