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
.envfile, which is a recommended security practice for local development to avoid hardcoding secrets. - [SAFE]: SQL operations use parameterized queries (
%splaceholders withcursor.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