openpiv
Pass
Audited by Gen Agent Trust Hub on Oct 1, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides a standard interface and CLI for the OpenPIV library, focused on fluid flow visualization and velocity field analysis.
- [SAFE]: External dependencies, including
openpiv,numpy,scipy,scikit-image, andmatplotlib, are well-established packages in the Python scientific ecosystem. - [SAFE]: File operations are restricted to reading image data and writing analysis results (vectors, parameters, and plots) to local directories as specified by the user.
- [SAFE]: Analysis of the Python scripts (
runner.py,analyze.py,run_example.py) shows standard scientific data processing without any indicators of credential theft, network exfiltration, or malicious persistence. - [SAFE]: The documentation and examples correctly advise on version pinning and parameter tuning for experimental reproducibility.
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