cupynumeric-parallel-data-load
Pass
Audited by Gen Agent Trust Hub on Jun 12, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides a legitimate technical workflow for loading sharded datasets (NumPy, HDF5, Parquet) into a distributed environment using cuPyNumeric and Legate.
- [COMMAND_EXECUTION]: The provided examples use the
legatecommand-line tool, which is the standard entry point for the distributed runtime environment described in the skill. This is expected behavior for the intended use case. - [DATA_EXFILTRATION]: No network operations or attempts to access sensitive system files (e.g., credentials, SSH keys) were found. Data operations are strictly limited to reading and writing numerical datasets in user-specified or temporary directories.
- [REMOTE_CODE_EXECUTION]: The skill does not perform any external downloads or execute remote scripts. It uses standard scientific Python libraries (numpy, cupynumeric, h5py, pyarrow) for data processing.
- [SAFE]: The use of
shutil.rmtreein the reference script is limited to a specificcleansubcommand and is used for managing temporary demo data. This is a routine operation for sample code and does not pose a security risk.
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