Individual skill
tooluniverse-ml-inference-utility
Generic ML/NLP/vision inference against any HuggingFace-hosted model (serverless hf-inference provider) — text classification/sentiment, dense text embeddings for semantic similarity, masked-token prediction (including protein language models), summarization, zero-shot classification against caller-supplied labels, named entity recognition, extractive question answering, translation, image classification, and object detection. Use when someone asks to "classify this text with a HuggingFace model", "embed this text for similarity search", "run NER on this passage", "summarize this with model X", "zero-shot classify this against these labels", "predict the masked token", "classify/detect objects in this image", or names a specific HuggingFace model_id to run inference with. NOT a domain-analysis skill itself — this is a generic cross-domain utility other skills should reach for as a supporting step, the same way tooluniverse-clinical-terminology-lookup is a supporting lookup step rather...
plugins/tooluniverse/skills/tooluniverse-ml-inference-utility/SKILL.md
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- Last checked
- Nov 9, 2026
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- 1,779
- Repository last updated
- Nov 8, 2026
- License
- Apache-2.0
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- agents Repository topic
- reasoning-agent Repository topic
- reasoning-language-models Repository topic
- tool-use Repository topic
- ai-agents Repository topic
- ai-scientists Repository topic
- automated-science Repository topic
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- engineering Derived category
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SKILL.mdcore · 14,743 bytesSKILL.mdcore · 14,743 bytesreferences/hf_inference_tool_reference.mddoc · 7,154 bytes
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# Generic ML/NLP/Vision Inference (HuggingFace)
Run any HuggingFace-hosted model for a standard inference task via ToolUniverse's
10 `HFInference_*` tools. This is a **utility skill**: reach for it as a supporting
step inside another workflow (e.g. summarizing a batch of retrieved abstracts,
extracting entities from clinical text, embedding sentences for a similarity
search) rather than treating it as a research domain in its own right.
## Honesty contract (read first) — the token requirement is not actually optional
Every tool's own JSON description says `HF_TOKEN` is an *optional* API key that
merely "raises rate limits." **Live testing on this date contradicts that**: all
10 tools, tested against the exact model IDs in their own `test_examples`, fail
with the identical error with no token set: