seaborn
Pass
Audited by Gen Agent Trust Hub on Jun 26, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADS
Full Analysis
- [SAFE]: The skill serves as an instructional guide for the Seaborn Python library, covering relational, distribution, categorical, regression, and matrix plots.
- [EXTERNAL_DOWNLOADS]: The documentation includes examples using
seaborn.load_dataset(), which fetches sample datasets from the official Seaborn GitHub repository for demonstration purposes. This is standard library behavior and involves a trusted source. - [SAFE]: A thorough review of the instructions and reference files found no evidence of prompt injection, obfuscation, or unauthorized system access.
- [SAFE]: The skill focuses on data visualization and does not request or demonstrate any dangerous administrative privileges or persistence mechanisms.
Audit Metadata