# Hugging Face Evaluation

> Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.

- Skill: `sickn33/hugging-face-evaluation` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add sickn33/hugging-face-evaluation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/sickn33/hugging-face-evaluation/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: sickn33 (https://skillmd.com/u/sickn33)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/sickn33/hugging-face-evaluation

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# 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)

## Detailed Guide

Read [the detailed guide](references/detailed-guide.md) before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.

## When to Use
- You need to add structured evaluation results to a Hugging Face model card.
- You want to import benchmark data or run custom evaluations with vLLM, lighteval, or inspect-ai.
- You are preparing leaderboard-compatible `model-index` metadata for a model release.

## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

