data-validation
Pass
Audited by Gen Agent Trust Hub on Sep 20, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements legitimate data engineering patterns for validating DataFrames and dictionaries. All scripts use standard Python and Pandas functionality to perform integrity checks, date range validation, and schema evolution without any security risks detected.
- [SAFE]: No network operations, file exfiltration patterns, or hardcoded credentials were found in the instructions or the source code.
- [SAFE]: The dependency on the
pandaslibrary is standard for the stated purpose of data validation.
Audit Metadata