# Foundation-Eval-Labs

> Foundation-Eval-Labs — coryparrry-foundation-eval-labs. Use this tool when you need to evaluate and test Apple's Foundation Models on a native macOS environment. It solves problems related to model testing, validation, and iteration, providing a workbench for developers to refine their models. With git integration, it accepts model code as input and outputs evaluation results, making it ideal for machine learning development and testing contexts.

Canonical page: https://skillsregistry.net/skills/coryparrry-foundation-eval-labs  
JSON: https://api.skillsregistry.net/v1/skills/coryparrry-foundation-eval-labs

## Description

A native macOS evaluation workbench for Apple's Foundation Models.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/coryparrry/Foundation-Eval-Labs)

## 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": "coryparrry-foundation-eval-labs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/coryparrry-foundation-eval-labs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/coryparrry-foundation-eval-labs/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