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Pet Daily Health Monitoring & Analysis Tool

Life Service Updated 2026.08.30

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

Please install @user_bb47e3e3/pet-health-monitoring-analysis by following the guide at https://skillhub.cn/install/skillhub.md.

About this skill

Problem

Pet owners often capture camera or feeder footage, but it is hard to turn that footage into useful signals such as feeding frequency, drinking frequency, excretion status, vomiting, or limping. This tool converts raw video into structured observations that can highlight deviations from a pet's usual baseline.

How It Works

  • Input: local video path or network URL; common formats mp4, avi, mov, typically under 10MB.
  • Analysis: invoke scripts.pet_health_monitoring_analysis with cat/dog and monitor-days to estimate feeding, drinking, excretion, mental state, vomiting behavior, and limping anomalies.
  • Output: basic, standard, or json results with detections, risk notes, suggestions, and report links.
  • History: --list reads the report list from the cloud API rather than local memory or manually assembled records.

Boundaries

Use the output only as daily health reference, not as a veterinary diagnosis. A video of at least 1 hour is recommended so daily behavior patterns can be inferred. Remote URLs are downloaded by the API service; no local preprocessing is required.

Use Cases

  • Review smart-feeder video at home to confirm whether a cat's feeding and drinking frequency falls below its usual baseline.
  • Send a boarded pet's camera clip to the tool, retrieve alerts for vomiting or limping, and notify the owner.
  • Query the cloud report list to verify the pet health report list and report links for the past week.
  • Evaluate a pet's mental state from camera footage, record excretion changes, and help decide whether to schedule a vet visit.

Best For

  • Cat owner: wants to confirm feeding, drinking, and vomiting anomalies from daily feeder videos.
  • Pet boarding staff: needs to turn boarded pet camera clips into shareable monitoring notes.
  • Pet shop manager: uses camera footage to spot limping or lethargy and decide when to suggest a vet visit.
  • Animal welfare volunteer: converts long-term footage into structured reports to track multiple pets' daily status.