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)

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.