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respiratory_symptom_recognition_analysis

Detect coughing, phlegm, and wheezing episode frequency from user-provided video.

Updated May 18, 2026
Search Tags:#computer vision#cloud API#respiratory monitoring#episode counting#health risk scoring#medical suggestions
One-click install
npx skills add https://github.com/smyx-sunjinhui/smyx-open-claw-skills --skill respiratory-symptom-recognition-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: respiratory_symptom_recognition_analysis
Source: https://github.com/smyx-sunjinhui/smyx-open-claw-skills/tree/main/skills/respiratory-symptom-recognition-analysis
Command: npx skills add https://github.com/smyx-sunjinhui/smyx-open-claw-skills --skill respiratory-symptom-recognition-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests>=2.28.0, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Provides an automated way to monitor respiratory symptoms by analyzing video to count coughing, phlegm, and wheezing episodes and summarize risk for early health anomaly alerts.

Core Features & Use Cases

  • Video-based symptom detection & episode counting: Detects coughing, expectoration (phlegm), and wheezing frequency from real-time video analysis by focusing on chest movement, posture, and mouth actions.
  • Episode logging & trend reporting: Records analysis time, frequency, and episode duration to generate health trend information and monitoring results.
  • Risk evaluation & alerting: Compares detected symptom frequency against normal thresholds and outputs a health risk level and medical suggestions.
  • History report listing (cloud-only): Supports querying historical monitoring reports via keywords and returns results in a Markdown table with report links.

Quick Start

Use the respiratory_symptom_recognition_analysis skill to analyze an uploaded video by providing your open-id and the video URL or local file path.

Frequently Asked Questions about respiratory_symptom_recognition_analysis

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

FAQPage Schema
How does video-based respiratory monitoring detect coughing and wheezing episodes?▼

Video-based respiratory monitoring detects coughing and wheezing episodes by using cloud-based computer vision analysis to track chest movement, posture, and mouth actions from user-provided video uploads.

How do I analyze a video for respiratory symptoms and get a health risk score?▼

To analyze respiratory symptoms and get a health risk score, provide your open-id and a video URL or local file path to the skill to trigger cloud-based computer vision analysis and receive structured medical suggestions.

Can I query historical respiratory monitoring reports using an open-id?▼

Yes, you can query historical respiratory monitoring reports using an open-id via the required scripts interface, which returns cloud-only results in a Markdown table format with direct report links without relying on local memory fallback.

Does respiratory symptom detection work for post-op and daily health check scenarios?▼

Respiratory symptom detection works for daily-check, post-op, and hospital scenarios by comparing detected coughing, phlegm, and wheezing frequencies against normal thresholds to output a structured health risk level.

What are the limitations of using cloud-based computer vision for respiratory health monitoring?▼

Limitations of cloud-based computer vision for respiratory health monitoring include strict open-id acquisition requirements, dependency on cloud API connectivity, and explicit forbidding of local memory or local history fallback for data retrieval.

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