seaborn
Pass
Audited by Gen Agent Trust Hub on Jun 30, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a legitimate technical reference for the Seaborn library. The provided Python snippets use standard data science libraries (pandas, matplotlib, seaborn, numpy, scipy) for visualization purposes.
- [EXTERNAL_DOWNLOADS]: The documentation includes usage of
sns.load_dataset(), which is a standard function that fetches example data from the official Seaborn data repository on GitHub. This is expected behavior for this library and poses no security risk. - [COMMAND_EXECUTION]: No unauthorized or dangerous command execution patterns were found. All code snippets are dedicated to data processing and plotting.
- [DATA_EXFILTRATION]: No patterns indicative of data exfiltration or sensitive file access were identified. The skill does not attempt to access credentials or communicate with suspicious remote servers.
Audit Metadata