digital-health-clinical-asr-setup

Validate NVIDIA_API_KEY, install Python dependencies, and smoke test hosted NVCF endpoints.

Updated Apr 16, 2026
One-click install
npx skills add https://github.com/sayalinvidia/sayali-skills-test --skill digital-health-clinical-asr-setup
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: digital-health-clinical-asr-setup
Source: https://github.com/sayalinvidia/sayali-skills-test/tree/main/skills/digital-health-clinical-asr-setup
Command: npx skills add https://github.com/sayalinvidia/sayali-skills-test --skill digital-health-clinical-asr-setup

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Stage 1 of the Clinical ASR Flywheel bootstrap: verify the NVIDIA_API_KEY, prepare a reproducible Python environment, install dependencies, and perform a smoke test to ensure the hosted stack is reachable before advancing to Stage 2.

Core Features & Use Cases

  • Validate that NVIDIA_API_KEY is exported and a clean virtual environment can be created.
  • Install required dependencies and set up a reproducible workspace for downstream stages.
  • Run an inlined smoke test to confirm Magpie TTS and Parakeet/Nemotron ASR reach the hosted NVCF endpoint.
  • Use Case: operators bootstrap a new evaluation cycle and gate progress with Stage 1 checks.

Quick Start

Export NVIDIA_API_KEY, create a Python virtual environment, install dependencies, and run the inlined smoke test to verify the hosted stack reachability.

Frequently Asked Questions about digital-health-clinical-asr-setup

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up the Clinical ASR Flywheel environment and validate my NVIDIA API key?

To set up the Clinical ASR Flywheel environment, export your NVIDIA_API_KEY, create a clean Python virtual environment, and install dependencies. The Skill validates the key by checking its length before proceeding to the hosted stack smoke test.

What is the Clinical ASR Flywheel Stage 1 smoke test?

The Clinical ASR Flywheel Stage 1 smoke test is a verification process that confirms Magpie TTS and Parakeet/Nemotron ASR can reach the hosted NVCF endpoint. It checks hosted stack reachability without mutating local state before advancing to Stage 2.

Do I need a specific Python environment to bootstrap the Clinical ASR workflow?

Yes, bootstrapping the Clinical ASR workflow requires creating a clean Python virtual environment. This ensures a reproducible workspace for installing required dependencies and safely running evaluation checks in distributed environments.

Can I run Magpie TTS and Parakeet ASR smoke tests without altering my local system state?

Yes, the Clinical ASR setup performs a smoke test using Magpie TTS and Parakeet/Nemotron ASR against the hosted NVCF endpoint without mutating local state. This provides a safe, repeatable check to confirm hosted stack reachability.

Why does my Clinical ASR bootstrap fail during NVIDIA API key validation?

The Clinical ASR bootstrap fails if the NVIDIA_API_KEY is not properly exported in your environment. The setup performs a length-only check on the key to ensure it is present before attempting dependency installation and endpoint smoke tests.

Does the Clinical ASR Flywheel setup modify my system configuration during Stage 1?

No, the Clinical ASR Flywheel Stage 1 setup does not mutate local state. It only validates the NVIDIA_API_KEY, prepares a reproducible Python virtual environment, and runs read-only smoke tests against the hosted NVCF endpoint.