data-cleaning
Pass
Audited by Gen Agent Trust Hub on Aug 6, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides best practices for data normalization and validation. It includes deterministic patterns for deduplication and handling missing values.
- [EXTERNAL_DOWNLOADS]: The skill recommends installing standard, well-known data science libraries including pandas, pandera, pyarrow, polars, and ftfy. These are common dependencies for the stated purpose of data cleaning.
- [COMMAND_EXECUTION]: A verification script (scripts/verify.sh) is provided to perform static analysis and a small local runtime test using a temporary directory. The script is used to ensure the data validation gate works as intended.
- [DATA_EXFILTRATION]: No network operations or sensitive file access patterns were detected. Data handling is limited to reading raw tables and writing to local quarantine or output artifacts.
Audit Metadata