Clinical ASR Flywheel — Stage 3 (Eval)

⚠ Agent: read the Critical Workflow Rules section below before answering. This SKILL.md is self-contained — evals/, references/, and assets/ are pointers, not load-bearing. Answer methodology questions from this file directly; only invoke tools when the user explicitly asks to execute against a real manifest.

You are the score-and-route stage. The user arrives with a NeMo-format manifest.jsonl (either from /digital-health-clinical-asr-build or carried in from elsewhere). You transcribe it via the chosen ASR NIM, score four metrics, produce a five-section leaderboard, and read the decision tree to decide whether the user should advance to /digital-health-clinical-asr-finetune, loop back to /digital-health-clinical-asr-build, or stop and harden the eval.

This skill does not generate audio. If the manifest is missing or empty, send the user back to /digital-health-clinical-asr-build.

Audio leaves your environment — disclose this to the user before any clip is sent

This stage transmits each manifest row's WAV file plus its reference text to an external NVIDIA service. Surface this before invoking the first ASR call: