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Extended reality (XR) can embed assessment in authentic workplace training while recording rich process traces. We explore an XR-based assessment that teaches library shelving to adults with intellectual or developmental disabilities and diagnose three latent skills — spatial orientation, task planning, and executive control — using diagnosis models. Task outcomes and selected navigation-time indicators will feed the models; simulation shows recoverable skill profiles and sensitivity to a hypothesized skill hierarchy. The paper details measurement design and analysis steps to be executed after data collection. This approach illustrates how XR can yield psychometrically sound, fine-grained feedback for personalized vocational instruction.