pathml
Pass
Audited by Gen Agent Trust Hub on Aug 17, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
- [SAFE]: The skill constitutes a legitimate toolkit for computational pathology. It provides functionality for loading whole-slide images in over 160 formats, creating preprocessing pipelines, and managing large datasets using HDF5 storage without malicious behavior detected.\n- [EXTERNAL_DOWNLOADS]: The skill facilitates the installation of the PathML library and its scientific ecosystem (including PyTorch, NumPy, and H5PY) via standard package managers. These external dependencies are essential for the toolkit's intended scientific purpose.\n- [COMMAND_EXECUTION]: The documentation includes templates for generating SLURM job scripts and using Dask for distributed processing. These features enable users to manage large-scale image processing workflows in high-performance computing (HPC) environments and do not involve untrusted remote code execution.\n- [SAFE]: The toolkit integrates with the DeepCell API (deepcell.org) for remote cell segmentation. This is a well-known research service in the biological imaging community, and its inclusion represents standard functionality for users without local GPU resources.
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