scipy-statistics

Pass

Audited by Gen Agent Trust Hub on Jun 27, 2026

Risk Level: SAFENO_CODE
Full Analysis
  • [SAFE]: The skill contains no suspicious logic, obfuscation, or data exfiltration attempts. It serves as a documentation template for SciPy-based statistics.
  • [NO_CODE]: No functional scripts are included in either the English or Russian versions; the files provide conceptual instructions and empty code blocks.
  • [EXTERNAL_DOWNLOADS]: The instructions recommend installing scipy via the standard Python package manager (pip). SciPy is a well-known and trusted library within the scientific computing ecosystem.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 27, 2026, 12:49 AM
Security Audit — agent-trust-hub — scipy-statistics