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Pet Body Condition and Health Analysis

Life Service Updated 2026.08.29

Paste the following prompt into your AI chat to install this skill:

Install @user_bb47e3e3/pet-body-health-analysis by following https://skillhub.cn/install/skillhub.md.

About this skill

Problem

Pet owners often lack reliable signals: fur coverage, camera angle, and day-to-day variation can hide weight changes, swelling, hair loss, or abnormal behavior. This skill turns a single image or video into a reviewable analysis result, focusing on obesity, emaciation, trauma, skin abnormalities, and mental-state anomalies to surface risks before a veterinary visit.

Workflow and limits

Input can be a local file path or a network URL, with --media-type set to image or video. The core call is python -m scripts.pet_body_health_analysis; --input, --url, and --detail control source and output depth. Historical reports are fetched with --list from the cloud API, not from local memory or manual summaries. Identity handling is automated, so the user only sees progress, findings, and report links.

The output is for health reference only and does not replace veterinary diagnosis. Supported formats are mp4/avi/mov and jpg/png/jpeg, up to 10MB per file. If obvious trauma, persistent weight loss, or abnormal behavior appears, offline clinical evaluation should take priority.

Use Cases

  • After intake at a pet shop, use one pre-exam photo to record body condition and flag obesity or emaciation risk.
  • At home, analyze a cat or dog photo/video for swelling, hair loss, or trauma signs before deciding to visit a vet.
  • In boarding care, upload daily activity videos to flag abnormal mental state or reduced activity and keep a traceable note.
  • For a pet health assistant, review an image URL and historical report list to check recent obesity or weight-loss trends.

Best For

  • Home pet owners who want to turn one photo or short video into a saved body-condition reference.
  • Pet shop or boarding staff who need daily photo/video findings as health observation notes.
  • Pet content creators who need observations on body condition, skin, and behavior for video assets.
  • Pet health product integrators who want image/video analysis and historical report lookup.