# genpark-automated-llm-judge-feedback-evaluator-skill

> genpark-automated-llm-judge-feedback-evaluator-skill — alphaparkinc-genpark-automated-llm-judge-feedback-evaluator-skill. Use this tool when you need to evaluate and score large language models (LLMs) based on multiple criteria, or when you want to automate the judging process for LLMs using a standardized rubric. It provides a scoring engine that assesses LLM performance and generates feedback, taking input from various evaluation metrics and producing output scores and feedback reports. Ideal for use cases where consistent and objective evaluation of LLMs is required, such as in AI model development and testing.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-automated-llm-judge-feedback-evaluator-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-automated-llm-judge-feedback-evaluator-skill

## Description

Multi-criteria automated LLM judge scoring engine & rubric evaluator (Braintrust)

## Trust

- **Trust score (0–1):** 1.00
- **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/alphaparkinc/genpark-automated-llm-judge-feedback-evaluator-skill)

## 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": "alphaparkinc-genpark-automated-llm-judge-feedback-evaluator-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-automated-llm-judge-feedback-evaluator-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-automated-llm-judge-feedback-evaluator-skill/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