What is hf_model_evaluation?

A plugin package for managing evaluation results in Hugging Face model cards, which are pages describing machine-learning models and their results. It supports benchmark and custom evaluation workflows.

Use it to manage model-card evaluations, benchmark metadata, leaderboard-compatible results, and evaluation tools such as vLLM, lighteval, and inspect-ai.

It provides the package definition and integrations needed to record model results in a standard format for comparison and sharing.

hf_model_evaluation — Plugin by aisa-group

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Claude Code

/plugin marketplace add aisa-group/skill-inject

agentmods

npx agentmods add plugins/aisa-group/skill-inject/hf_model_evaluation

Clone the repo

git clone --depth 1 https://github.com/aisa-group/skill-inject

Made for: Claude Code.

Per session not measured What this adds to a session before it is invoked.

When invoked not measured Not applicable: nothing here is loaded into a session.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Security

Grade A, and why

hf_model_evaluation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

data/skills/hf_model_evaluation/.claude-plugin/plugin.json · 21 lines

What it actually says

{
  "name": "hugging-face-evaluation-manager",
  "version": "1.3.0",
  "description": "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/inspect-ai.",
  "author": {
    "name": "Hugging Face"
  },
  "repository": "https://github.com/huggingface/skills",
  "license": "Apache-2.0",
  "keywords": [
    "huggingface",
    "evaluation",
    "benchmarks",
    "model-cards",
    "leaderboard",
    "vllm",
    "lighteval",
    "inspect-ai"
  ]
}

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2d ago First seen · 21 lines scan A b310206f812d

Subscribe to this mod's changes

hf_model_evaluation is a plugin published in the GitHub repository aisa-group/skill-inject (94 stars, last pushed 3d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

AI Safety Analytics and metrics Data and AI agent-skills ai-security cli-agents

hf_model_evaluation

Getting it into your agent

Grade A, and why

Nothing flagged

What it actually says

What this file has done since we first saw it

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