Generates a comprehensive suite of test prompts to validate tool-calling accuracy in ChatGPT applications.
This skill streamlines the testing lifecycle for developers building ChatGPT Apps by automatically generating three distinct categories of test cases: direct, indirect, and negative prompts. By analyzing your application's tool definitions and server code, it creates a robust validation set that ensures the model correctly triggers specific functions when intended while ignoring irrelevant queries. This automated approach helps developers identify gaps in tool descriptions and improve the overall reliability of LLM interactions within their custom apps.
主な機能
01Automated tool analysis from application state or server source code
02Creation of 'Indirect' goal-oriented prompts to test semantic understanding
03Generation of explicit 'Direct' prompts for specific tool invocation
04Structured JSON output saved directly to your project configuration
0520 GitHub stars
06Negative prompt generation to prevent false-positive tool triggers
ユースケース
01Building a regression test suite for LLM interaction and function calling
02Validating tool-calling logic during the development of custom ChatGPT Apps
03Refining tool names and descriptions to improve model trigger accuracy
