GUI testing is one of the most important measures to ensure mobile application (App) quality. With the continuous development of the mobile ecosystem, especially the strong rise of the domestic mobile ecosystem, e.g., HarmonyOS, GUI test script recording and replay has become one of the prominent challenges in GUI testing. GUI test scripts must be migrated from traditional mobile platforms to emerging mobile platforms to ensure the reliability of App quality and consistency in user experience across diverse platforms. However, differences in underlying implementations across platforms have created substantial obstacles to the cross-platform migration of mobile App test scripts. This challenge is particularly pronounced in the testing migration for emerging domestic mobile ecosystem platforms. Cross-platform test script recording and replay is essential for maintaining consistency and a high-quality user experience across different platforms and devices. Current state-of-the-art approaches only address the “one-to-one” test event matching situations. However, due to inconsistencies in development practices across platforms, the replay of test events does not always map “one-to-one”; instead, “multiple-to-multiple” mapping situations are common. This means that some test events need to be mapped to a different number of test events to fulfill the same business logic. To address these issues and challenges, this study proposes a cross-platform mobile App test script recording and replay method based on large language model semantic matching (LLMRR). The LLMRR method integrates image matching, text matching, and large language model semantic matching technologies. During the recording phase, user operation information is captured using image segmentation algorithms and saved as recorded test scripts. During the replay phase, corresponding widgets on the replay App page are located using image matching and text matching modules to execute operations. When matching fails, the large language model semantic matching module is invoked for semantic matching, ensuring efficient operation across different platforms. This study presents the first exploration of testing for domestic HarmonyOS Apps, using 20 Apps and a total of 100 test scripts for migration testing across iOS, Android, and HarmonyOS platforms. The effectiveness of the LLMRR method is compared with the current state-of-the-art cross-platform test script recording and replay approaches, LIRAT and MAPIT. The results demonstrate that the LLMRR method exhibits significant advantages in test script recording and replay.