pathml

Pass

Audited by Gen Agent Trust Hub on Sep 25, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTIONDYNAMIC_EXECUTIONEXTERNAL_DOWNLOADS
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill processes whole-slide images and clinical metadata from external sources such as CSV and SVS files.
  • Ingestion points: references/image_loading.md (SlideData.from_slide) and references/data_management.md (metadata management functions).
  • Boundary markers: Not present; the skill assumes trusted input from the user's data directories.
  • Capability inventory: The skill has capabilities to write to the file system (HDF5, CSV, AnnData formats) and perform network requests to external APIs.
  • Sanitization: Ingested metadata is processed using standard libraries without explicit validation or sanitization steps.
  • [DYNAMIC_EXECUTION]: The skill includes instructions for loading machine learning models using torch.load and onnxruntime in references/machine_learning.md, which is an expected behavior for a pathology analysis toolkit.
  • [EXTERNAL_DOWNLOADS]: The skill facilitates remote cell segmentation by interacting with the DeepCell project API at https://deepcell.org/api/predict, as seen in references/multiparametric.md and references/preprocessing.md.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 25, 2026, 02:34 PM