i4h-workflow-dataset-mimic
Pass
Audited by Gen Agent Trust Hub on Sep 9, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: Fetches the i4h-workflows project code from the Isaac for Healthcare GitHub organization to access the core mimicry and expansion utilities.
- [COMMAND_EXECUTION]: Runs bash and Python commands to resolve dataset paths, verify file integrity, and perform the trajectory augmentation.
- [INDIRECT_PROMPT_INJECTION]: The skill ingests robotics recording data from HDF5 files to perform mimicry. 1. Ingestion points: Reads local .hdf5 files defined in the workflow runs directory. 2. Boundary markers: Absent. 3. Capability inventory: Directory creation, symbolic linking, and bash/python execution. 4. Sanitization: Employs a Python script to validate the HDF5 file structure and ensure it contains valid episodes before processing begins.
Audit Metadata