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skills/reason-machines/data-skills/harvard-art-museum-data-pipeline/Gen Agent Trust Hub

harvard-art-museum-data-pipeline

Pass

Audited by Gen Agent Trust Hub on Oct 1, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill uses best practices for credential management, instructing users to store sensitive information like HARVARD_API_KEY and DB_PASSWORD in environment variables rather than hardcoding them.
  • [SAFE]: All network operations are directed at legitimate, well-known services (Harvard Art Museums API at api.harvardartmuseums.org).
  • [SAFE]: The code includes responsible API interaction patterns, such as rate limiting (time.sleep) and a rate_limited decorator to prevent service abuse.
  • [SAFE]: The implementation uses safe SQL practices for batch loading data using parameterization (%s placeholders) in cursor.executemany, which helps prevent SQL injection during the ETL process.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 1, 2026, 01:34 PM
Security Audit — agent-trust-hub — harvard-art-museum-data-pipeline