feature-engineering

Pass

Audited by Gen Agent Trust Hub on Apr 25, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides educational content and code snippets for time-series feature engineering. No malicious instructions, obfuscation, or data exfiltration patterns were found.
  • [EXTERNAL_DOWNLOADS]: The skill documentation and code examples reference several well-known Python libraries including feature-engine, skforecast, astral, scikit-learn, and lightgbm. These are industry-standard tools for machine learning and data science.
  • [COMMAND_EXECUTION]: The provided installation commands (npx, git clone) are standard methods for acquiring developer tools and skills in the intended environment and do not involve suspicious execution strings.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 25, 2026, 08:11 PM
Security Audit — agent-trust-hub — feature-engineering