seaborn
Pass
Audited by Gen Agent Trust Hub on Nov 6, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill consists entirely of documentation, API references, and standard Python code examples for data visualization.
- [SAFE]: All code samples use well-known, legitimate libraries including Seaborn, Matplotlib, Pandas, NumPy, and SciPy for exploratory data analysis and plotting.
- [SAFE]: No evidence of prompt injection, obfuscation, or persistence mechanisms was found across the analyzed files.
- [SAFE]: Data ingestion patterns identified (e.g., loading example datasets or CSV files) are standard for visualization tasks and do not involve execution of untrusted code or exfiltration to unauthorized domains.
Audit Metadata