cellpose-cell-segmentation
Pass
Audited by Gen Agent Trust Hub on May 6, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is a legitimate technical guide for biological image analysis. All code snippets perform standard data science tasks such as image loading, deep learning inference, visualization, and data export using established libraries.
- [EXTERNAL_DOWNLOADS]: Includes instructions to install well-known scientific packages (
cellpose,torch,scikit-image,pandas) using the standardpippackage manager. It correctly references the official PyTorch index URL for CUDA-enabled versions. - [COMMAND_EXECUTION]: Uses basic shell commands for package installation and a simple Python one-liner to verify the installation success, which are standard practices for environment setup.
- [DATA_EXPOSURE]: The skill interacts with local image files (TIFF/PNG) and saves results to common formats (CSV/NumPy/TIFF) for scientific analysis. No sensitive system paths, credentials, or network exfiltration patterns were detected.
Audit Metadata