dsh-senior-pet: Health and Nutrition Plan Generation for Senior Pets
dsh-senior-pet is a pure Node.js plugin in the DeepSeek Harness (DSH) ecosystem, designed to provide health and nutrition solutions for senior pets. It has no network dependencies and registers a `senior_pet` tool that returns customized pet health recommendations based on input parameters. Installation requires specific version dependencies, and the plugin is easy to use, aiming to extend the vertical-domain capabilities of conversational systems in a lightweight way.
Read Moredsh-pet-nutri: Pet Nutrition Plan Generation
Under the DeepSeek Harness ecosystem, `dsh-pet-nutri` is a plugin for generating pet nutrition plans, implemented entirely in Node.js. It follows the "everything is a plugin" philosophy, allowing agents to directly generate pet health recommendations based on parameters without making network requests. The tool does not require internet access, making it suitable for offline or restricted environments. It is maintained by user uckkk. After installation, its `pet_nutri` function can be invoked in a session.
Read Moredsh-pet-food-amt: Daily Food Amount
`dsh-pet-food-amt` is a local plugin for DeepSeek Harness used to calculate a pet’s daily food intake and generate nutritional plans. Developed with Node.js, it runs without network requests. Users can install it using the official command and invoke its registered tools directly in a session. Developers should pay attention to execution permissions and licensing issues. It is suitable for agent development that integrates pet-feeding logic.
Read Moredsh-pet-diet: Pet Health and Nutrition Plan Generator
dsh-pet-diet is a DSH client plugin maintained by uckkk, designed to address the issue of returning deterministic pet nutrition plans based on parameters. Implemented in pure Node.js with no network dependencies, it allows users to generate pet diet recommendations locally. Before use, it requires the `@deepseek-ai/cordis` (^4.0.1) and `@deepseek-ai/dsh-tools` (>=0.1.0-rc.6) dependencies, and is licensed under the MIT license.
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