D

digital-health-clinical-asr-finetune

VERIFIED

by community

No community reviews yet
144,126,000installs
Updated Jun 2026

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Description

Stage 4 of the Clinical ASR Flywheel. Use when priority KER is above 0.3 to run stock NeMo SFT on Parakeet TDT v2 and offline cycle N+1 re-eval. NOT for generic word boosting (use /finetune-asr).

Install digital-health-clinical-asr-finetune

Run this in your OpenClaw agent to add digital-health-clinical-asr-finetune from the ClawHub registry.

terminal
$openclaw skills install digital-health-clinical-asr-finetune

Requires ClawHub registry access. Review the security analysis below before installing.

Security Analysis

危险50/100

Open Source

Code is publicly available for audit.

Community Verified

Reviewed by the ClawHub community.

Community Reviews

Real user ratings only — separate from the editorial assessment and ClawHub signal.

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Frequently asked questions

Is digital-health-clinical-asr-finetune safe to install?

digital-health-clinical-asr-finetune has a SkillsReview security score of 50/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.

How much does digital-health-clinical-asr-finetune cost?

digital-health-clinical-asr-finetune is free to install for OpenClaw via ClawHub.

What are the best alternatives to digital-health-clinical-asr-finetune?

You can compare digital-health-clinical-asr-finetune side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.

How do I install digital-health-clinical-asr-finetune?

Install digital-health-clinical-asr-finetune from ClawHub at clawhub.ai/skills/digital-health-clinical-asr-finetune, or use the install action on this page to copy the command for your OpenClaw agent.

Community Signal

ClawHub Community Score6120.00 / 5.00
Installs144,126,000
Last UpdateJun 16, 2026
Recently updated (52d ago)
ClawHub community score is a third-party marketplace signal. It is shown separately from SkillsReview editorial assessment and real user review averages.
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