geopandas-geospatial

Pass

Audited by Gen Agent Trust Hub on Apr 30, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: Analysis of the skill instructions and code snippets reveals no malicious patterns or security vulnerabilities.
  • [EXTERNAL_DOWNLOADS]: The skill references standard Python packages including geopandas, matplotlib, folium, mapclassify, contextily, pyarrow, psycopg2, and geoalchemy2, which are well-known in the geospatial data science ecosystem.
  • [CREDENTIALS_UNSAFE]: Includes an example for PostGIS connection strings using standard placeholders ('user:pass@host/db'), which does not expose actual secrets or private information.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 30, 2026, 04:04 AM
Security Audit — agent-trust-hub — geopandas-geospatial