What problem does it solve? Verifying that a running FSI Interface stack actually retrieves real patient data end to end is slow and error-prone when done manually, since full-chart orchestration jobs can take over 12 minutes and failures have many distinct causes. This Skill automates the entire smoke test and classifies every failure by reason. ## Core Features & Use Cases - Stub-sourced request generation: Parses local WireMock stubs (MockData/Stubs) to build the request set automatically, with no hand-maintained patient list. - Concurrent orchestration polling: Submits all requests to the non-mock /v1/patients endpoint first, then polls /v1/orchestration/{jobId} concurrently against one wall-clock budget so slow jobs never stall the rest. - Classified failure reporting: Emits machine-readable JSON plus a clean terminal table, tagging each failure as stale-data, empty-data, orchestration-error, slow, auth-401, or submit-fail. - Use Case: After starting the local FSI stack with docker compose, ask the agent to run the FSI smoke test to confirm Epic Sandbox and Oracle/Cerner Sandbox patient retrieval works before merging a change. ## Quick Start Ask the agent to run the FSI smoke test against the locally running stack to confirm patient data retrieval works end to end.
