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Developer Builds Unit Testing Framework for AI Agent Skills to Replace Guesswork

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A developer frustrated by the lack of rigor in AI agent skill deployment has built an open-source testing tool called skilleval. The tool takes a skill definition file and a prompt, runs a real agent, and lets developers assert on concrete outcomes such as tools used, files modified, cost incurred, and final messages. Unlike other evaluation approaches, skilleval avoids using a second language model to grade the first, relying instead on deterministic, artifact-based assertions. Test results are saved so developers can compare outcomes across skill edits and optionally run multiple iterations to establish a pass rate. The project aims to bring the same accountability to prompt-based agent skills that standard code changes already face through reviews and approvals.

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