pandas-pro
Pass
Audited by Gen Agent Trust Hub on Mar 7, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides high-quality instructions for data manipulation using the pandas library. All code samples follow standard industry practices and do not contain any suspicious patterns.
- [SAFE]: No prompt injection or attempt to bypass safety guidelines was detected. The role definition is professional and aligned with the skill's stated purpose.
- [SAFE]: No credential exposure, sensitive file access, or unauthorized network operations were found. Data loading references are restricted to standard local file formats (CSV, Parquet, SQL, etc.).
- [SAFE]: External library references (such as numba, numexpr, pyarrow, and pandera) are well-known, standard tools within the Python data science ecosystem used for performance and validation.
Audit Metadata