pandas-pro

Pass

Audited by Gen Agent Trust Hub on Jul 3, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill's content is entirely educational and technical, providing valid Python and pandas code patterns for data science workflows.
  • [SAFE]: No network access, credential handling, or sensitive file system operations were detected. All file access mentioned (e.g., pd.read_csv) is standard for data analysis tasks.
  • [SAFE]: No obfuscation, prompt injection, or persistence mechanisms were found in the instructions or metadata.
  • [SAFE]: Mentions of third-party libraries such as pandera and numba are standard recommendations within the pandas ecosystem for data validation and performance improvement, respectively.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 3, 2026, 09:32 AM
Security Audit — agent-trust-hub — pandas-pro