seaborn-statistical-plots
Pass
Audited by Gen Agent Trust Hub on Sep 18, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides legitimate documentation and code examples for data visualization using the Seaborn library. No malicious patterns, prompt injections, or obfuscated content were identified.
- [EXTERNAL_DOWNLOADS]: The skill suggests installing standard, well-known Python packages from the official PyPI registry (seaborn, matplotlib, pandas, numpy, scipy). These are considered safe dependencies for data science tasks.
Audit Metadata