python-data-analytics
Pass
Audited by Gen Agent Trust Hub on Apr 18, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill incorporates critical security controls for multi-tenant SaaS environments, specifically requiring that all data loads are filtered by tenant ID at the database level to prevent data leakage.- [SAFE]: It promotes the use of parameterized SQL queries via SQLAlchemy to mitigate SQL injection risks.- [SAFE]: The identified dependencies are restricted to reputable, well-known data science and utility libraries (e.g., pandas, scipy, sqlalchemy, and pydantic).- [SAFE]: Sensitive configuration, such as database URLs, is managed through environment-based references (e.g., settings.database_url) rather than hardcoded credentials.- [SAFE]: No obfuscation, persistence mechanisms, or unauthorized network exfiltration patterns were found during the analysis.
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