The traditional “offline decision-making with online real-time matching” mode, long relied upon by security and stability control systems, has become increasingly inadequate for accommodating the dynamic characteristics of modern power systems. There is an urgent need to shorten the offline strategy formulation cycle and promote online strategy optimization. Both endeavors require the establishment of quantifiable and computable evaluation metrics for stability control strategies to serve as the basis for automated optimization decisions. This paper employs a stability control strategy evaluation data sample generation process of “operating mode generation → fault simulation without control strategy → fault simulation with control strategy → sample classification and statistics”. Based on this, we propose a multi-dimensional quantitative evaluation index system for stability control strategy sets, utilizing simulation sample sets. This system comprehensively quantifies and evaluates the technical performance of stability control system strategy sets from three aspects: comprehensiveness, adaptability, and effectiveness. The effectiveness of the proposed index system was validated through the evaluation of an actual HVDC stability control strategy set.