data-quality-auditor
Pass
Audited by Gen Agent Trust Hub on Jun 29, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides documentation and local scripts for data quality auditing. All Python scripts (dq_check_runner.py, freshness_monitor.py, schema_drift_detector.py) use only the Python standard library and process data locally from CSV and JSON files provided by the user.
- [SAFE]: No network exfiltration or remote data requests were found. All data processing is performed on the local file system.
- [SAFE]: No obfuscation, privilege escalation, or persistence mechanisms were detected. The skill maintains a consistent author identity and follows security best practices for secret management by not hardcoding any credentials.
- [SAFE]: The skill instructions and documentation are focused on data quality practices, incident response templates, and maturity modeling without any attempts to override agent safety guidelines.
Audit Metadata