design-backtesting

To design a backtesting library for OS quality, you identify backtestable skills and define artifact types from skill designs to enable historical calibration and output reproducibility.

Historical backtesting for agent calibration is the process of validating agent behaviors against past artifacts, ensuring consistent comparison and traceability across OS iterations.

You define artifact types and ground truth definitions by mapping required inputs, outputs, and expected results from skill designs, enabling consistent comparison for historical calibration.

You establish sequential backtesting rules by outlining ordering schemes based on date, importance, or outcome, alongside scoring rubrics to quantify OS improvements over time.

Yes, you can use defined backtesting metrics to compare top skill outputs against historical artifacts, allowing you to calibrate a new OS and update the design accordingly.

A live reference strategy in a backtesting library is an outlined integration that supports continuous learning, onboarding flow, and governance during sequential backtesting.