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
Risk Level
SAFE
Analyzed
Jun 29, 2026, 04:13 PM
Security Audit — agent-trust-hub — data-quality-auditor