hugging-face-evaluation

# Overview
This skill provides tools to add structured evaluation results to Hugging Face model cards. It supports multiple methods for adding evaluation data:
- Extracting existing evaluation tables from README content
- Importing benchmark scores from Artificial Analysis
- Running custom model evaluations with vLLM or accelerate backends (lighteval/inspect-ai)

## Integration with HF Ecosystem
- **Model Cards**: Updates model-index metadata for leaderboard integration
- **Artificial Analysis**: Direct API integration for benchmark imports
- **Papers with Code**: Compatible with their model-index specification
- **Jobs**: Run evaluations directly on Hugging Face Jobs with `uv` integration
- **vLLM**: Efficient GPU inference for custom model evaluation
- **lighteval**: HuggingFace's evaluation library with vLLM/accelerate backends
- **inspect-ai**: UK AI Safety Institute's evaluation framework

# Version
1.3.0

# Dependencies

## Core Dependencies
- huggingface_hub>=0.26.0
- markdown-it-py>=3.0.0
- python-dotenv>=1.2.1
- pyyaml>=6.0.3
- requests>=2.32.5
- re (built-in)

## Inference Provider Evaluation
- inspect-ai>=0.3.0
- inspect-evals
- openai

## vLLM Custom Model Evaluation (GPU required)
- lighteval[accelerate,vllm]>=0.6.0
- vllm>=0.4.0
- torch>=2.0.0
- transformers>=4.40.0
- accelerate>=0.30.0

Note: vLLM dependencies are installed automatically via PEP 723 script headers when using `uv run`.

# IMPORTANT: Using This Skill

## ⚠️ CRITICAL: Check for Existing PRs Before Creating New Ones

**Before creating ANY pull request with `--create-pr`, you MUST check for existing open PRs:**

```bash
uv run scripts/evaluation_manager.py get-prs --repo-id "username/model-name"
```

**If open PRs exist:**
1. **DO NOT create a new PR** - this creates duplicate work for maintainers
2. **Warn the user** that open PRs already exist
3. **Show the user** the existing PR URLs so they can review them
4. Only proceed if the u