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.
npx agentmods add skills/imoonkey/openweb/huggingfacenpx skills add imoonkey/openweb --skill huggingfacegit clone --depth 1 https://github.com/imoonkey/openwebWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.00541 |
| Opus 5 | $0.00000 | $0.00270 |
| Sonnet 5 | $0.00000 | $0.00108 |
| Haiku 4.5 | $0.00000 | $0.00054 |
Grade A, and why
huggingface 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hugging Face
Overview
AI model and dataset hub. Public REST API for searching and browsing ML models, datasets, and Spaces (demo apps).
Workflows
Find an ML model
searchModels(search)→id(owner/name format)getModel(owner, name)→ pipeline_tag, downloads, tags, cardData, siblings
Explore datasets
searchDatasets(search)→id(owner/name format)getDataset(owner, name)→ cardData, description, citation, siblings
Discover demo apps
getSpaces(search)→id,sdk,runtime.stage
Research a model and its data
searchModels(search)→id(owner/name)getModel(owner, name)→cardData.datasets(referenced dataset names)searchDatasets(search)→ find referenced dataset →idgetDataset(owner, name)→ description, citation
Operations
| Operation | Intent | Key Input | Key Output | Notes |
|---|---|---|---|---|
| searchModels | find ML models | search | id, author, downloads, pipeline_tag, tags | sortable by downloads/likes/trending |
| getModel | model details | owner, name <- searchModels | id, pipeline_tag, downloads, tags, cardData, siblings | includes file list and related Spaces |
| searchDatasets | find datasets | search | id, author, downloads, tags | sortable by downloads/likes/trending |
| getDataset | dataset details | owner, name <- searchDatasets | id, downloads, tags, cardData, description, citation | includes file list |
| getSpaces | browse demo apps | search | id, author, likes, sdk, runtime | sortable by likes/trending |
Quick Start
# Search for models
openweb huggingface exec searchModels '{"search": "text-generation", "limit": 5}'
# Get model details
openweb huggingface exec getModel '{"owner": "meta-llama", "name": "Llama-2-7b"}'
# Search for datasets
openweb huggingface exec searchDatasets '{"search": "sentiment", "limit": 5}'
# Get dataset details
openweb huggingface exec getDataset '{"owner": "stanfordnlp", "name": "imdb"}'
# Browse Spaces
openweb huggingface exec getSpaces '{"search": "chatbot", "limit": 5}'
What ships with it
10 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.
- adapters/huggingface.ts 6.9 KB runs code
- DOC.md 3.1 KB
- examples/getDataset.example.json 237 B
- examples/getModel.example.json 251 B
- examples/getSpaces.example.json 229 B
- examples/searchDatasets.example.json 236 B
- examples/searchModels.example.json 240 B
- manifest.json 405 B
- openapi.yaml 14 KB
- PROGRESS.md 2.7 KB
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 · 53 lines · 0 tokens per session scan A cc643dd0a485
huggingface is a skill published in the GitHub repository imoonkey/openweb (58 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 541 tokens. 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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