python-econ-computing

Pass

Audited by Gen Agent Trust Hub on Jun 13, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill serves as a technical reference for macroeconomic and causal inference modeling. The provided Python code snippets follow standard numerical computing practices and do not contain any malicious patterns.
  • [EXTERNAL_DOWNLOADS]: The skill references established libraries in the scientific and economic Python ecosystem, such as numpy, scipy, numba, quantecon, and econml (Microsoft Research). It also includes documentation links to GitHub repositories (igerber/diff-diff, wenddymacro/A-General-Empirical-Workflow-for-DID) that are used neutrally for academic and implementation reference.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 13, 2026, 11:31 AM
Security Audit — agent-trust-hub — python-econ-computing