algo-forecast-arima
Pass
Audited by Gen Agent Trust Hub on Sep 18, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is purely analytical and instructional, focusing on time series forecasting using the ARIMA and SARIMA algorithms. It provides a structured workflow for data validation, stationarity testing, and model fitting.
- [SAFE]: Reference files include Python code snippets for visualization and analysis using well-known, trusted libraries including pandas, matplotlib, and statsmodels. These snippets are for standard statistical operations.
- [SAFE]: No malicious network operations, sensitive file path access, credential handling, or code obfuscation techniques were identified.
- [INDIRECT_PROMPT_INJECTION]: The skill defines a surface for processing external time series data (historical sequential data). The ingestion points are clearly defined as numerical sequences in SKILL.md and examples/sample_scenario.md. The skill provides strict algorithm phases and residual verification (Ljung-Box test) which act as technical boundaries. There is no capability for the ingested numerical data to trigger command execution or network operations.
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