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.
/plugin marketplace add patchy631/ai-engineering-hubnpx agentmods add plugins/patchy631/ai-engineering-hub/marketplacegit clone --depth 1 https://github.com/patchy631/ai-engineering-hubGrade A, and why
huggingface-skills 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.
How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
{
"name": "huggingface-skills",
"owner": {
"name": "Hugging Face"
},
"metadata": {
"description": "Agent Skills for AI/ML tasks including dataset creation, model training, evaluation, and research paper publishing on Hugging Face Hub",
"version": "1.0.0"
},
"plugins": [
{
"name": "hugging-face-model-trainer",
"source": "./skills/hugging-face-model-trainer",
"skills": "./",
"description": "Train or fine-tune language models using TRL on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes hardware selection, cost estimation, Trackio monitoring, and Hub persistence."
},
{
"name": "hugging-face-paper-publisher",
"source": "./skills/hugging-face-paper-publisher",
"skills": "./",
"description": "Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles."
},
{
"name": "hugging-face-datasets",
"source": "./skills/hugging-face-datasets",
"skills": "./",
"description": "Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation."
},
{
"name": "hugging-face-evaluation",
"source": "./skills/hugging-face-evaluation",
"skills": "./",
"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 evaluations with vLLM/lighteval."
},
{
"name": "hugging-face-tool-builder",
"source": "./skills/hugging-face-tool-builder",
"skills": "./",
"description": "Build reusable scripts for HuggiWhat ships with it
1 file beside marketplace.json 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.
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 · 67 lines scan A b8bcde1594c4
huggingface-skills is a plugin published in the GitHub repository patchy631/ai-engineering-hub (37,278 stars, last pushed 6d 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.
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