NYC

datacommons-client

Pass

Audited by Gen Agent Trust Hub on Feb 17, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE] (SAFE): No malicious code patterns, such as prompt injection, obfuscation, or unauthorized data access, were identified within the skill or its reference documentation.
  • [EXTERNAL_DOWNLOADS] (SAFE): The skill relies on legitimate Python packages (datacommons-client and pandas) installed through standard package managers. These are appropriate for the skill's stated purpose of statistical data analysis.
  • [CREDENTIALS_UNSAFE] (SAFE): API key handling is managed correctly via environment variables or explicit client initialization. The documentation uses safe placeholders ('your_key') rather than hardcoded credentials.
  • [COMMAND_EXECUTION] (SAFE): The skill does not execute arbitrary system commands; interaction is limited to the official Data Commons Python API for data retrieval.
Audit Metadata
Risk Level
SAFE
Analyzed
Feb 17, 2026, 05:52 PM