datacommons-client

Pass

Audited by Gen Agent Trust Hub on Apr 29, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill integrates with the Data Commons platform to provide access to public statistical datasets. All referenced documentation and code examples align with this purpose.
  • [SAFE]: External dependencies are restricted to the datacommons-client, pandas, and matplotlib packages, which are standard tools for data analysis and API interaction.
  • [SAFE]: Authentication instructions for the Data Commons API follow security best practices by recommending the use of environment variables (DC_API_KEY) to manage secrets instead of hardcoding them.
  • [SAFE]: All network operations are directed towards official Data Commons domains (datacommons.org) and their public GitHub repository, which are established and legitimate services.
  • [SAFE]: The skill provides clear guidance on handling ambiguous entities and checking data availability, which helps prevent logic errors and ensures reliable data retrieval.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 29, 2026, 02:23 AM