pandas
Pass
Audited by Gen Agent Trust Hub on Sep 15, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a comprehensive reference for the pandas library (v3.0+), covering core data structures, indexing, and memory optimization. All code samples represent standard, legitimate data analysis practices.
- [SAFE]: No network operations, sensitive file access, or credential exposure mechanisms were identified within the instructions or reference documents.
- [SAFE]: The documentation of dynamic execution features such as
pd.eval(),df.query(), and the Numba JIT engine is provided strictly for performance optimization purposes within a data science context, following library best practices.
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