pandas-pro
Pass
Audited by Gen Agent Trust Hub on Jul 15, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a documentation and pattern reference for the pandas library, providing best practices for data science workflows.
- [SAFE]: All included code snippets are standard pandas/numpy operations and do not involve any risky system calls, network operations, or sensitive file access.
- [SAFE]: No external scripts are downloaded or executed at runtime. The mentioned Python libraries (pandas, numpy, pandera, numba) are well-known, industry-standard packages for data processing.
- [SAFE]: No prompt injection or obfuscation patterns were detected in the instructions or reference materials.
- [SAFE]: The use of
pd.eval()anddf.query()in the performance reference is documented correctly as a method for optimizing large-scale calculations and does not introduce security risks in this context.
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