Pet Daily Health Monitoring & Analysis Tool
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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 formatsmp4,avi,mov, typically under 10MB. - Analysis: invoke
scripts.pet_health_monitoring_analysiswithcat/dogandmonitor-daysto estimate feeding, drinking, excretion, mental state, vomiting behavior, and limping anomalies. - Output:
basic,standard, orjsonresults with detections, risk notes, suggestions, and report links. - History:
--listreads 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.
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