cellpose-cell-segmentation
Pass
Audited by Gen Agent Trust Hub on Apr 28, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a technical manual for the Cellpose library. Analysis across all threat categories (obfuscation, exfiltration, prompt injection, etc.) yielded no findings.
- [EXTERNAL_DOWNLOADS]: The skill recommends installing standard scientific Python packages including
cellpose,numpy,matplotlib,torch,torchvision,torchaudio,scikit-image, andpandas. Installation commands for GPU support correctly reference the official PyTorch download index (download.pytorch.org). - [COMMAND_EXECUTION]: Code snippets demonstrate local file operations using
scikit-imagefor reading images andnumpy/pandasfor saving results. These operations are within the expected scope of an image processing workflow. - [INDIRECT_PROMPT_INJECTION]: While the skill ingests external image data via
io.imread, this represents a standard data processing surface with negligible risk of prompt injection in this specific scientific context.
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