hugging-face-evaluation
Skill by FrancoStino · updated · ★ 87
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. hugging-face-evaluation is published by FrancoStino on GitHub.
Last commit 5 days ago
MIT: permissive, fine for commercial use
Clear description, installs from GitHub, 87 stars, original repository
Not checked yet. What we check
Install hugging-face-evaluation
Built from the published package, never by AIgit clone --depth 1 https://github.com/FrancoStino/opencode-skills-collection /tmp/opencode-skills-collection && mkdir -p ~/.claude/skills && cp -r /tmp/opencode-skills-collection/bundled-skills/hugging-face-evaluation ~/.claude/skills/hugging-face-evaluationRun in your terminal. Claude Code loads skills from ~/.claude/skills automatically.
Step-by-step: install hugging-face-evaluation in Claude Code
git clone --depth 1 https://github.com/FrancoStino/opencode-skills-collection /tmp/opencode-skills-collection && mkdir -p ~/.gemini/antigravity-cli/skills && cp -r /tmp/opencode-skills-collection/bundled-skills/hugging-face-evaluation ~/.gemini/antigravity-cli/skills/hugging-face-evaluationAntigravity CLI loads skills from ~/.gemini/antigravity-cli/skills, or .agents/skills for one project.
Step-by-step: install hugging-face-evaluation in Antigravity CLI
Skills can run scripts on your machine. Some need an API key: check the README.
Weekly newsletter
Like hugging-face-evaluation? Get the best new skills every week
The best new tools, security warnings before you install something risky, and one practical tip. Free, three minute read.
Alternatives to hugging-face-evaluation
All alternatives →This skill should be used when the user asks to "add an API call", "change a backend", "update settings persistence", "change conversation events", "fix backend auth", "add Agent Server support", or changes src/api, backend registry, Cloud/runtime transport, settings, secrets, compatibility, or conversation resume behavior.
Use ONLY for abstract DataChain SDK questions — API usage, method signatures, or code patterns — when no specific dataset or bucket is referenced. If the request mentions creating, saving, listing, exploring datasets or buckets, use datachain-knowledge instead.
Respond as a single limerick. Use for playful or comic answers, or when the user asks for a limerick.
Explains the project structure of the agent-framework .NET solution
Platform APIs for model management, pricing, and usage tracking
Request cross-AI peer review of phase plans from external AI CLIs
hugging-face-evaluation: common questions
How do I install hugging-face-evaluation?
Run the command above to copy the skill into ~/.claude/skills/. Claude Code picks it up automatically.
Is hugging-face-evaluation free?
The code is published under the MIT licence. The service it connects to may have its own pricing.
Is hugging-face-evaluation safe to use?
It scores 53 of 100. Grades: maintenance A, licence A, quality B. The security check has not run for it yet. Review the code before you install. How grades work.
What are alternatives to hugging-face-evaluation?
Similar skills: frontend-api-contracts, datachain-core, limerick, project-structure.
