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, and matplotlib, 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.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 1, 2026, 07:50 AM
Security Audit — agent-trust-hub — openpiv