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dsh-writing-shape

Model Inference Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install satan9394/dsh-writing-shape

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

Run dsh plugin install satan9394/dsh-writing-shape in your terminal to add the writing-shape plugin to your DeepSeek Harness environment; source code is available at https://github.com/satan9394/dsh-writing-shape .

About this plugin

dsh-writing-shape is a writing-shape plugin that plugs into the DeepSeek Harness inference pipeline. In practice, when you call DeepSeek models to generate text, paragraph rhythm and sentence-level structure are hard to steer with any precision; output tends to drift toward either rambling or mechanical cadence. This plugin introduces the writing-shape dimension into the Harness reasoning flow, letting you exert finer-grained structural control over generated text without touching the underlying model weights.

Its core capability is to fold writing-shape parameters into the inference stage itself, so that Harness can honor explicit structural constraints while scheduling model output. In concrete terms, you can define distinct shape strategies for different writing scenarios—long-form review, multi-paragraph argumentation, tight abstracts—without resorting to heavy post-processing after generation.

It is aimed at developers building DeepSeek Harness inference workflows, especially teams that want text-structure controllability on the engineering side. Released under the MIT license, the plugin drops into existing Harness configurations with minimal integration overhead.

Use Cases

  • Setting paragraph-shape strategies for different writing scenarios in Harness inference
  • Controlling sentence rhythm and paragraph distribution in long-form generation
  • Structured-constrained generation of multi-argument texts

Best For

  • Developers building DeepSeek Harness inference workflows
  • Engineering teams needing structure-level control over LLM output
  • Technical users exploring the Harness plugin ecosystem for inference extensions