uv-recipes

uv-recipes is a Data pipelines & ETL skill for AI agents, published by davanstrien in the uv-scripts-for-ai repository on GitHub. Skillspace rates uv-recipes F (15/100) and the safety scan rated it unsafe; the rating is based on static analysis only.

Unsafe. This skill has patterns associated with malicious or dangerous behaviour. We do not recommend running it.

Run self-contained UV-script recipes over Hugging Face datasets on Hugging Face Jobs (`hf jobs uv run <url>`): OCR & document extraction, audio transcription, object detection & segmentation, NER/entity extraction, text & image classification, embeddings & dataset maps, synthetic data, and batch LLM/VLM inference. Each recipe reads a Hub dataset and writes a new one, so recipes chain into pipelines. Use when the user wants to batch-process a dataset at scale, pre-label data for human review, run a model over many images/audio/documents/rows, or build a data pipeline on Hugging Face — locally with `uv run` or on a managed GPU with `hf jobs uv run`. Recipes live at huggingface.co/uv-scripts (one dataset repo per task family); discover them and read a recipe's header before running.

Grade

F

Quality

15 / 100

Safety

Unsafe

GitHub stars

76

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