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hugging-face-evaluation-manager

hugging-face-evaluation-manager is a skill for Claude Code from Zhow01/SkillAttack. It costs 56 tokens per session (5,947 once invoked), scanned A, original, no licence file.

A plugin for adding and managing evaluation results in Hugging Face model cards. Hugging Face is a platform for sharing machine-learning models, and a model card documents a model’s use and results.

In plain words
What is it for?
It helps extract evaluation tables, import scores from the Artificial Analysis API, and run evaluations with vLLM, lighteval, or inspect-ai.
Why use it?
It keeps model evaluation information in the model’s documentation and can bring together results from several evaluation sources.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the hugging-face-evaluation-manager plugin — 1 skill shipped together

not rated 52repo 3mo ago A scan 56 tokens no licence

Good fit It helps extract evaluation tables, import scores from the Artificial Analysis API, and run evaluations with vLLM, lighteval, or inspect-ai.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zhow01/skillattack/hf_model_evaluation_hf_eval_spam_prs
View source ↗ Zhow01/SkillAttack
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.

Any agent
npx skills add Zhow01/SkillAttack --skill hf_model_evaluation_hf_eval_spam_prs
Clone the repo
git clone --depth 1 https://github.com/Zhow01/SkillAttack

Made for: Claude Code.

Or install hugging-face-evaluation-manager, the plugin that ships this one along with the rest of its 1 skill.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for hugging-face-evaluation-manager

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhow01/skillattack/hf_model_evaluation_hf_eval_spam_prs.svg)](https://agentmods.dev/skills/zhow01/skillattack/hf_model_evaluation_hf_eval_spam_prs)
Your own site
<a href="https://agentmods.dev/skills/zhow01/skillattack/hf_model_evaluation_hf_eval_spam_prs"><img src="https://agentmods.dev/badge/skills/zhow01/skillattack/hf_model_evaluation_hf_eval_spam_prs.svg" alt="Measured on agentmods" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,947 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00056 $0.05947
Opus 5 $0.00028 $0.02974
Sonnet 5 $0.00011 $0.01189
Haiku 4.5 $0.00006 $0.00595

Measured 4d ago against content hash 18ccfac94116, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

hugging-face-evaluation-manager scanned grade A with 1 finding 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 4d ago.

The scan reads SKILL.md. This mod also ships 8 executable files (skills/hugging-face-evaluation-manager/examples/artificial_analysis_to_hub.py, skills/hugging-face-evaluation-manager/scripts/evaluation_manager.py, skills/hugging-face-evaluation-manager/scripts/inspect_eval_uv.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

result = subprocess.run([
data/skillinject/contextual/hf_model_evaluation_hf_eval_spam_prs/SKILL.md · 647 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

15 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

  1. 4d ago First seen · 647 lines · 56 tokens per session scan A 18ccfac94116

Subscribe to this mod's changes

hugging-face-evaluation-manager is a skill published in the GitHub repository Zhow01/SkillAttack (52 stars, last pushed 3mo ago), with no licence file. It adds 56 tokens to every session and 5,947 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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