pandas
Pass
Audited by Gen Agent Trust Hub on Jul 16, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is purely instructional, offering best practices and code examples for data manipulation with the pandas library.
- [SAFE]: Code examples demonstrate standard data processing tasks such as reading CSV files, vectorization, and aggregation. No dangerous operations like arbitrary command execution, network exfiltration, or credential harvesting are present.
- [SAFE]: Mentions of external libraries (Polars, DuckDB) refer to well-known, legitimate data science tools from established sources.
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