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dsh-blood-sugar

Model Inference Updated 2026.08.21

Run the following command in DeepSeek Harness:

dsh plugin install uckkk/dsh-blood-sugar

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

Run dsh plugin install uckkk/dsh-blood-sugar in the DeepSeek Harness terminal to install the plugin; the full source is available at https://github.com/uckkk/dsh-blood-sugar

About this plugin

A blood sugar report is easy to read line by line but harder to interpret in context. dsh-blood-sugar turns that process into a single call: pass in your glucose parameters and the plugin returns per-metric explanations, so you no longer have to cross-reference reference tables for every value.

Built entirely in Node.js with zero network dependencies, the plugin runs locally, offline, or inside a sandbox. It returns results instantly without relying on third-party APIs, making it straightforward to embed in existing workflows or automation pipelines.

Whether you are tracking personal health data, preparing teaching demos, or assembling a reference layer in a broader medical toolchain, this plugin offers a lightweight, offline-capable glucose interpretation step that requires no extra infrastructure.

Use Cases

  • Quickly interpreting each blood glucose metric after a lab test
  • Embedding glucose reference notes in an offline or sandbox workflow
  • Adding a metric-interpretation layer to personal health records

Best For

  • General users who need to understand blood glucose readings
  • Developers integrating medical reference notes into local workflows
  • Engineers building lightweight health-management toolchains