forecasting
Pass
Audited by Gen Agent Trust Hub on Aug 6, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill utilizes well-known and trusted Python packages, specifically
statsforecast(maintained by Nixtla) andpandas, for its core forecasting logic. These are standard industry tools for time-series analysis. - [SAFE]: File operations are limited to reading input data from
history.csvand writing forecast results toforecast.csv, which is consistent with the skill's stated purpose of time-series projection. - [SAFE]: The included utility script
scripts/verify.shperforms read-only validation of CSV headers and row counts. It does not perform any network operations, administrative actions, or destructive file system modifications. - [SAFE]: The skill implements strong security and data science best practices, including requirements for backtesting (rolling-origin cross-validation) and mandatory accuracy reporting (WAPE, Bias, MASE) to ensure model validity before deployment.
Audit Metadata