# ScoreIA La Forge

> ScoreIA La Forge — ai-scoreia-forge. Use this tool when you need to evaluate and compare the performance of 3D AI models in generating and animating complex objects, such as a knight. It solves problems related to assessing AI capabilities in computer vision, graphics, and animation tasks. The tool takes 3D models and animation sequences as inputs and outputs a score based on the model's performance, making it ideal for use cases like AI model selection and optimization.

Canonical page: https://skillsregistry.net/skills/ai-scoreia-forge  
JSON: https://api.skillsregistry.net/v1/skills/ai-scoreia-forge

## Description

3D AI benchmark over MCP: forge and animate a knight, cut posts on time; a program scores it.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.10.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.scoreia%2Fforge)

## Use it

MCP endpoint published by the skill: `https://scoreia.ai/forge/mcp`

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": "ai-scoreia-forge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-scoreia-forge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-scoreia-forge/pull`

---
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