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dsh-ingredient

Model Inference Updated 2026.08.21

Run the following command in DeepSeek Harness:

dsh plugin install uckkk/dsh-ingredient

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install uckkk/dsh-ingredient in DeepSeek Harness to install this plugin, with the full source available at https://github.com/uckkk/dsh-ingredient

About this plugin

Generating facial skincare plans typically relies on external APIs or online services, raising privacy concerns and making offline use impractical. dsh-ingredient packages ingredient-based skincare recommendation into a lightweight plugin, bringing that capability fully on-premises.

Its core tool, ingredient, accepts composition parameters and returns a tailored facial skincare plan. The entire implementation runs on a pure Node.js runtime with zero network requests, keeping the environment clean and predictable for both standalone use and integration into existing inference pipelines.

It is ideal for developers who value local-first, dependency-free tooling, as well as end users who need skincare recommendations in offline settings. The MIT license allows free integration and redistribution.

Use Cases

  • Generate personalized facial skincare plans from ingredient parameters
  • Quickly look up skincare suggestions for specific compositions offline
  • Embed skincare plan generation into an existing Node.js inference pipeline

Best For

  • Developers building local-first, zero-dependency skincare applications
  • End users who need offline skincare recommendations
  • Engineers integrating ingredient analysis into inference pipelines