Pet Grooming Effect Assessment (Mats/Dandruff) | 宠物梳毛效果评估（毛结/皮屑）
通过AI图像识别分析梳理后的宠物皮肤与毛发，自动计算毛结残留面积、皮屑覆盖率及毛发顺滑度，输出0-100梳毛评分并提供二次梳理建议，适用于家庭日常梳理、美容店质检及换毛期管理。
Read Moredsh-eye-care: Pet Eye Care Solution Plugin
The DSH plugin dsh-eye-care is a pure Node.js pet eye care solution generation tool maintained by uckkk. With no network dependencies and a focus on local processing, it can directly generate specific pet grooming and care recommendations based on input parameters. Users can install it via the command line, after which it is automatically registered with the DSH process. Licensed under the MIT License, it is suitable for building pet-related agent applications.
Read Moredsh-ear-clean: Pet Ear Cleansing and Care Plan Generator
The DeepSeek Harness plugin `dsh-ear-clean` focuses on pet ear-cleaning care scenarios. By registering a tool named `ear_clean`, it quickly generates care plans based on the provided parameters. It is implemented purely in Node.js, has no network dependencies, and is open-sourced under the MIT license. Users can install it by running a command in the terminal and invoke it directly in a session to simulate a pet care workflow.
Read Moredsh-pet-brush: Grooming Care
DeepSeek Harness (DSH) provides a plugin mechanism to extend its functionality. `dsh-pet-brush` is a fun dress-up plugin aimed at providing users with pet grooming and care plans. The plugin is implemented in pure Node.js and has no network dependencies; its tool name is `pet_brush`. The installation command is `dsh plugin add github:uckkk/dsh-pet-brush`. Before use, verify the maintainer information (the author information appears inconsistent) and the license (MIT).
Read Moredsh-food-transition: Food Transition
The `dsh-food-transition` plugin for DeepSeek Harness (DSH) is a local, pure Node.js implementation with no network dependencies, maintained by developer uckkk. It is categorized under the Fun Dress-Up category, and its core feature is `food_transition`, which can provide clear transition recommendations for switching pet food based on the provided parameters. Users can install and enable the plugin using the official command, and invoke it directly in conversations or code. It is suitable for scenarios involving pet food switching that require structured recommendations, and works well in offline or intranet environments.
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