harvard-art-museums-data-engineering-analytics

Pass

Audited by Gen Agent Trust Hub on Jun 27, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill demonstrates standard data engineering practices without any malicious patterns. It explicitly instructs the user to store API keys and database credentials in a .env file, which is a recommended security practice for local development to avoid hardcoding secrets.
  • [SAFE]: SQL operations use parameterized queries (%s placeholders with cursor.executemany), which effectively prevents SQL injection attacks when loading data from the API into the database.
  • [SAFE]: External downloads are limited to well-known libraries from official registries (PyPI), and the provided source code repository is a public GitHub project for educational purposes.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 27, 2026, 02:26 AM
Security Audit — agent-trust-hub — harvard-art-museums-data-engineering-analytics