scientific-visualization
Pass
Audited by Gen Agent Trust Hub on Jun 27, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides a robust set of tools and guidelines for scientific data visualization. All scripts use standard, well-known libraries (matplotlib, seaborn, plotly, pandas, numpy, scipy) for their intended purposes.
- [SAFE]: File operations are restricted to saving figure exports in common formats (PDF, PNG, TIFF, etc.) and generating local matplotlib style templates. There are no attempts to access sensitive system files or credentials.
- [SAFE]: No network activity, remote code execution patterns, or prompt injection attempts were found. The instructions focus entirely on legitimate scientific plotting tasks and adherence to journal guidelines.
- [SAFE]: The skill uses clear, unobfuscated code and provides comprehensive documentation, including technical requirements for major scientific publishers.
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