pandas-pro

Pass

Audited by Gen Agent Trust Hub on Mar 24, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill focuses entirely on providing expert guidance and code patterns for data analysis with the pandas library. All examined files contain legitimate educational content and implementation guidelines for data science workflows.- [SAFE]: Code snippets are standard Python and pandas patterns intended for data cleaning, aggregation, merging, and performance optimization. There is no evidence of command injection or unsafe execution patterns.- [SAFE]: No network operations, sensitive file access, or suspicious external dependencies were identified. References to libraries like numba, pandera, pyarrow, and numexpr are standard in the pandas ecosystem for performance and validation.- [SAFE]: No obfuscation, prompt injection attempts, or persistence mechanisms were detected in the instructions or metadata. The discrepancy between the metadata author and the system-provided author does not present a security risk.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 24, 2026, 01:36 AM