alterlab-seaborn
Pass
Audited by Gen Agent Trust Hub on Apr 12, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides documentation and examples for statistical data visualization using the Seaborn library. All analyzed files contain legitimate educational content.
- [SAFE]: No prompt injection attempts or instructions to bypass safety filters were found.
- [SAFE]: No suspicious network activity, data exfiltration, or hardcoded credentials were detected.
- [SAFE]: All referenced Python packages (seaborn, matplotlib, pandas, numpy, scipy, ipywidgets) are well-known, industry-standard libraries for data science.
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