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() and df.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.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 15, 2026, 04:40 PM
Security Audit — agent-trust-hub — pandas-pro