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

> genpark-automated-llm-judge-feedback-evaluator-skill — alpha-park-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 require automated feedback generation and rubric assessment for LLM judge outputs. It solves problems related to efficient and objective evaluation of LLM performance, providing standardized scoring and feedback. The tool takes LLM outputs as input and generates scored feedback and evaluation reports as output, ideal for use cases involving LLM training, testing, and validation.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-automated-llm-judge-feedback-evaluator-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-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/Alpha-Park/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": "alpha-park-genpark-automated-llm-judge-feedback-evaluator-skill"
    }
  }
}
```

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