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dsh-ambiguity-handling

Model Inference Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install changlianxiya-139/dsh-ambiguity-handling

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

Install the plugin in DeepSeek Harness by running dsh plugin install changlianxiya-139/dsh-ambiguity-handling; full source is available at https://github.com/changlianxiya-139/dsh-ambiguity-handling

About this plugin

Vague prompts like "just write it" or "handle it" show up constantly in real conversations. When a model fills in the blanks on its own, the output often misses what the user actually meant. dsh-ambiguity-handling tackles exactly this: it does not change model capability, but shifts the model's behavior when it encounters ambiguous input.

The plugin appends a dedicated ambiguity-handling rule as an independent section (identified as ambiguity-handling, order 50) to the end of the system prompt, without overriding any existing content. The rule instructs the model to do three things before taking action: pinpoint the ambiguity explicitly, list two to four plausible interpretations in natural language, and offer an "other" fallback option, then wait for user confirmation before proceeding.

It is well suited for developers building chat or assistant applications on DeepSeek Harness where intent precision matters—think internal tools, customer-facing bots, or creative-writing helpers—where a wrong guess means a full round of rework.

Use Cases

  • When a user sends a vague instruction like "just write it," the model lists interpretations before acting
  • A customer-service bot receiving a blurry support request confirms intent before proposing solutions
  • A creative-writing assistant offers style options when "adjust the tone" is underspecified

Best For

  • Developers building end-user chat or assistant apps on DeepSeek Harness
  • Internal-tool teams wanting to reduce rework caused by misread intent
  • Builders of customer-service or writing workflows where intent precision matters