algo-forecast-ensemble
Pass
Audited by Gen Agent Trust Hub on Sep 18, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill instructions and documentation focus on legitimate forecasting methodologies such as simple averaging, inverse-error weighting, and stacking. No malicious instructions, prompt injections, or unauthorized system commands were detected.\n- [SAFE]: The reference files contain Python code snippets for implementing statistical algorithms. These use well-known libraries like NumPy and SciPy for data processing and do not involve remote code execution, network exfiltration, or persistence mechanisms.\n- [SAFE]: All external references are bibliographic (e.g., Stock & Watson, Bates & Granger) or point to internal skill files, with no reliance on untrusted remote sources.
Audit Metadata