xby-pet-detect
Run the following command in DeepSeek Harness:
dsh plugin install xby-skill/xby-pet-detect
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install xby-skill/xby-pet-detect in the DeepSeek Harness terminal to install this plugin from https://github.com/xby-skill/xby-pet-detect.
About this plugin
Pet owners know the moment well: you snap a photo, glance at your cat or dog, and wonder whether their little face says joy or grumpiness. xby-pet-detect was built for exactly this need. As a model-inference plugin for DeepSeek Harness, it reads a pet facial expression and classifies the emotion into one of four categories: Angry, Happy, Relaxed, or Sad, turning guesswork into a concrete read.
The plugin is deliberately flexible on the input side. You can pass a remote image URL, submit a BASE64-encoded string, or point to a local file path, which covers online services, batch pipelines, and local debugging alike. The API key can be set in a single chat command and is persisted automatically, so it survives restarts without any reconfiguration.
Whether you are a pet parent who loves photographing daily moments, a creator who needs to tag large libraries of pet expression assets, or a developer looking to embed a lightweight pet-emotion API into your own product, xby-pet-detect offers a simple, plug-and-play entry point.
Use Cases
- Read a pet mood at a glance from a single photo
- Batch-process a pet expression library and tag each photo with one of four emotions
- Embed pet emotion recognition into your own pet-focused app or tool
Best For
- Pet parents who love photographing their furry friends daily
- Content creators tagging large pet-expression asset libraries
- Developers building pet emotion recognition into their own product
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