numerai-model-implementation
Pass
Audited by Gen Agent Trust Hub on Feb 17, 2026
Risk Level: SAFE
Full Analysis
- [COMMAND_EXECUTION] (SAFE): The skill contains instructions to run Python modules and unit tests (e.g.,
python -m agents.code.modeling,python -m unittest) for validation. These are standard development workflows.\n- [EXTERNAL_DOWNLOADS] (SAFE): The skill mentions installing thexgboostlibrary. This is a well-known, reputable open-source package used for gradient-boosted trees.\n- [DATA_EXFILTRATION] (SAFE): There are no patterns suggesting unauthorized access to sensitive files or exfiltration of data to external domains.\n- [PROMPT_INJECTION] (SAFE): No instructions attempting to bypass safety filters or override agent instructions were found.
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