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dsh-fatigue

Model Inference Updated 2026.08.21

Run the following command in DeepSeek Harness:

dsh plugin install uckkk/dsh-fatigue

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

Run dsh plugin install uckkk/dsh-fatigue in your DeepSeek Harness terminal to install the plugin; the source code is available at https://github.com/uckkk/dsh-fatigue

About this plugin

When you have been staring at a screen until your brain feels like mush, you probably wish you could run a quick fatigue check without shoving a pile of parameters into some third-party API. dsh-fatigue exists for exactly that local, fast, zero-network scenario: invoke the fatigue tool inside a DeepSeek Harness conversation, pass in your parameters, and get a home-health self-assessment result straight back, with no network calls at all.

The entire implementation is pure Node.js. No external service calls, no browser dependency, no cloud round-trips. That makes it a deterministic local tool: you call it, you get a result, and nothing about the outcome can be derailed by a flaky connection or a downed upstream. The whole interaction is simply: give parameters, receive results, move on.

It suits researchers, developers, or anyone who wants a lightweight self-check prompt inside a conversation without registering an account or waiting on an API response. If you would rather keep a simple fatigue assessment entirely on your machine, dsh-fatigue is the lightest option available.

Use Cases

  • Quickly gauge personal fatigue between work sessions
  • Get a local reference result during a home health check
  • Invoke a lightweight, offline self-assessment inside a conversation

Best For

  • Developers who want fast fatigue checks with local execution
  • Users who prefer zero network dependency and no third-party APIs
  • Researchers building lightweight health workflows in DeepSeek Harness