ml4t-regime-features
Pass
Audited by Gen Agent Trust Hub on Sep 13, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as an educational resource and code template for financial data engineering. No malicious patterns, such as prompt injection, data exfiltration, or obfuscation, were detected within the instructions or code snippets.\n- [EXTERNAL_DOWNLOADS]: The skill references the 'ml4t-engineer' library and 'ml4t.engineer' Python module. These are vendor-owned resources that trace back to the author 'ml4t' and represent expected functionality for this skill's purpose.\n- [COMMAND_EXECUTION]: The code samples utilize standard data processing libraries, specifically 'polars' and 'numpy', to perform mathematical operations on time-series data. There are no instances of arbitrary command execution or suspicious subprocess calls.
Audit Metadata