detect-fed-unamortized-discount-pattern
Pass
Audited by Gen Agent Trust Hub on Oct 8, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill fetches data exclusively from 'fred.stlouisfed.org', which is the official domain for Federal Reserve Economic Data, a well-known and trusted service.
- [SAFE]: All dependencies listed in manifest.json (pandas, numpy, requests, scipy, matplotlib, fastdtw) are standard, well-maintained libraries commonly used for data science and financial analysis.
- [SAFE]: The Python scripts perform transparent numeric analysis, such as Pearson correlation, Z-score normalization, and Dynamic Time Warping (DTW), to compare current trends with historical patterns.
- [SAFE]: The skill demonstrates best practices by implementing an 'assume-falsification' mindset, requiring cross-validation with multiple stress indicators (like VIX and credit spreads) before escalating risk assessments.
- [SAFE]: No obfuscation, prompt injection, persistence mechanisms, or privilege escalation patterns were found in any of the 17 files analyzed.
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