ml4t-stationarity-tests

Pass

Audited by Gen Agent Trust Hub on Sep 12, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides standard statistical analysis code using well-known libraries such as numpy, statsmodels, and scikit-learn. No malicious patterns, data exfiltration, or unauthorized command executions were detected.
  • [INDIRECT_PROMPT_INJECTION]: The skill processes time-series data in functions like test_stationarity and analyze_stationarity.
  • Ingestion points: Data is passed via the series argument in test_stationarity and feature_series in analyze_stationarity within SKILL.md.
  • Boundary markers: None present.
  • Capability inventory: The skill is limited to statistical calculations and printing results; it lacks file system write access, network capabilities, or subprocess execution across its scripts.
  • Sanitization: None present, but the statistical functions in statsmodels do not execute instructions embedded in data.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 12, 2026, 01:18 PM