aster-timesfm-pipeline
Pass
Audited by Gen Agent Trust Hub on Apr 18, 2026
Risk Level: SAFE
Full Analysis
- [EXTERNAL_DOWNLOADS]: Fetches the TimesFM-2.5-200M model from Google's official repository on HuggingFace. This is an expected action for initializing the forecasting engine and targets a well-known service.- [COMMAND_EXECUTION]: Employs standard Python data science libraries including NumPy and PyTorch, along with the TimesFM package, to perform numerical analysis on market data.- [SAFE]: The skill follows least-privilege principles by using scoped MCP tools for data access and does not exhibit any patterns of obfuscation, data exfiltration, or prompt injection.
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