ml4t-survivorship-bias
Pass
Audited by Gen Agent Trust Hub on Sep 13, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is primarily educational, providing code snippets and checklists for data science workflows in finance.
- [REMOTE_CODE_EXECUTION]: No remote code execution patterns or suspicious downloads were detected. The Python examples use the standard Polars library and a vendor-owned data provider library (
ml4t-data). - [DATA_EXFILTRATION]: No sensitive file access or network exfiltration patterns were identified. The network operations described involve standard data fetching from historical archives.
- [PROMPT_INJECTION]: The instructions do not contain any attempt to bypass safety filters or override agent instructions.
- [OBFUSCATION]: No hidden characters, encoded URLs, or homoglyph-based obfuscation techniques were found.
Audit Metadata