Cat Litter Box Waste Characteristic Recognition Tool | 宠物猫砂盆排泄物性状识别

Triggers when a user provides a cat litter box area video URL or file for analysis; supports local video uploads or network URLs to call server-side APIs for waste characteristic recognition, analyzing feces morphology (loose stool, bloody stool, dry hard stool) and urine clump size to identify urinary and digestive system abnormalities, outputting health risk alerts (without diagnosing diseases). Application scenarios: smart litter boxes, multi-cat household health monitoring. Development reason: early signs of urinary diseases, a pain point for multi-cat households. | 当用户提供猫砂盆区域的视频URL或文件时,触发本技能进行排泄物性状分析;支持通过上传本地视频或网络视频URL,调用服务端API进行排泄物识别,分析粪便形态(稀便、血便、干硬便)和尿团大小,识别泌尿系统与消化系统异常,输出健康风险提示(不诊断疾病)。应用场景:智能猫砂盆、多猫家庭健康监测。

Install

openclaw skills install @smyx-sunjinhui/smyx-pet-litter-box-waste-analysis