pathml
Pass
Audited by Gen Agent Trust Hub on Nov 6, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSDATA_EXFILTRATIONINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill instructs users to install the
pathmlpackage from the official Python Package Index (PyPI) and can be configured to download pre-trained model weights for architectures like HoVer-Net and HACTNet when thepretrained=Trueparameter is used. - [DATA_EXFILTRATION]: Provides functionality to send image data to the DeepCell remote API (https://deepcell.org/api/predict) for cell segmentation tasks via the
SegmentMIFRemotetransform. This is a documented feature for users who lack local GPU resources. - [INDIRECT_PROMPT_INJECTION]: The skill ingests and processes external medical imaging files and clinical metadata.
- Ingestion points: Whole-slide images in various proprietary formats (SVS, NDPI, DICOM) and clinical metadata manifests in CSV format.
- Boundary markers: No specific delimiters or instructions to ignore embedded content are provided for the processing of slide metadata.
- Capability inventory: The toolkit manages subprocesses through Dask for parallel execution and performs network requests to external APIs for remote segmentation.
- Sanitization: Explicit sanitization of external metadata content is not detailed in the provided documentation.
- [COMMAND_EXECUTION]: Utilizes the Dask library to coordinate parallel and distributed processing of large-scale pathology data, which involves managing subprocesses and worker nodes.
Audit Metadata