ml4t-risk-metrics
Pass
Audited by Gen Agent Trust Hub on Sep 13, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides standard financial formulas and Python code using NumPy and SciPy to calculate risk-adjusted performance (Sharpe, Sortino, Calmar) and tail risks (VaR, CVaR).
- [SAFE]: References to the library
ml4t-diagnosticand the moduleml4t.diagnostic.apiare consistent with the author's own development ecosystem and do not represent a supply chain risk. - [SAFE]: The file path patterns defined in the YAML frontmatter (
portfolio,position,risk, etc.) are appropriate for the stated purpose of analyzing financial strategy files. - [SAFE]: No network operations, sensitive file access, or obfuscation techniques were detected.
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