seaborn
Pass
Audited by Gen Agent Trust Hub on Apr 16, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADS
Full Analysis
- [SAFE]: The skill provides comprehensive documentation and best-practice examples for the Seaborn library without security risks.\n- [SAFE]: Code snippets rely on standard, reputable data science libraries including seaborn, matplotlib, and pandas.\n- [EXTERNAL_DOWNLOADS]: The skill demonstrates fetching example datasets from the official Seaborn repository using built-in library functions.\n- [SAFE]: Promotional references to the author's platform (k-dense.ai) are legitimate vendor communications and do not contain malicious patterns.
Audit Metadata