ml-recommender

Pass

Audited by Gen Agent Trust Hub on Jul 8, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADS
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill utilizes several standard, well-known machine learning and utility libraries such as NumPy, SciPy, FAISS, LightGBM, Scikit-Learn, PyTorch, scikit-surprise, implicit, Pandas, and aiohttp.
  • [COMMAND_EXECUTION]: All code snippets are functional examples for algorithm implementation and do not contain arbitrary or dangerous system commands.
  • [DATA_EXPOSURE]: No hardcoded credentials, API keys, or access to sensitive local file paths were found in the skill files.
  • [PROMPT_INJECTION]: The skill's instructions focus on technical implementation and do not contain markers intended to override agent behavior or bypass safety guardrails.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 8, 2026, 12:22 PM
Security Audit — agent-trust-hub — ml-recommender