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dsh-load-estimate

Model Inference Updated 2026.08.20

Run the following command in DeepSeek Harness:

dsh plugin install uckkk/dsh-load-estimate

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

Run the install command in the DeepSeek Harness terminal to get started; the plugin source is hosted at https://github.com/uckkk/dsh-load-estimate

About this plugin

When sizing electrical components or planning power budgets, you often need a quick yet precise load estimate from a set of operating parameters. Many existing solutions either call out to a remote API or return only a rough total figure that is hard to trace.

dsh-load-estimate keeps the scope tight and fully local. It registers a single load_estimate tool that accepts the parameters you provide, computes the result with a defined model, and returns a structured, detailed breakdown rather than a single opaque number. The entire implementation runs on plain Node.js with zero network calls, so it works comfortably in offline environments or low-latency pipelines.

If you are an engineer orchestrating inference workflows inside DeepSeek Harness, an ops automation developer, or simply someone who wants a reliable load figure at the end of a conversation, this plugin is ready to use the moment you install it.

Use Cases

  • Estimating operational load during electrical design or equipment sizing
  • Embedding a local load calculation step inside an inference pipeline
  • Reproducing device power calculations by parameter in offline environments

Best For

  • Electrical and power-system engineers
  • Ops and automation developers
  • Engineers orchestrating inference workflows in DeepSeek Harness