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dsh-question-rail

Fun & Dress-up Updated 2026.08.27

Run the following command in DeepSeek Harness:

dsh plugin install LeonSone/dsh-question-rail

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

Run dsh plugin install LeonSone/dsh-question-rail in your terminal to install; source code is at https://github.com/LeonSone/dsh-question-rail

About this plugin

After a chat stretches past a few dozen turns, finding a specific question or discussion thread usually means endless scrolling. dsh-question-rail drops a slim tick strip along the right edge of the conversation window. Hover it and every user turn in the session unfolds as a single-line list; click one and the chat glides smoothly to that round with a brief highlight ring. The rail auto-loads the full history (not just the visible window) and renders exclusively in the chat view, disappearing the instant you switch to Trajectory, Context, Design, or PPT.

A few details keep the experience clean: the collapsed tick column and the expanded list are the same set of DOM nodes, so spacing and the right reference line never shift. The rail subscribes to a render signature (question set plus active view) rather than the whole conversation snapshot, so streaming output and tool calls do not re-trigger list re-renders. Text follows the dark/light theme automatically, each entry is keyboard-activatable via Enter or Space, and the browser side carries zero runtime dependencies. All of it is injected into the overlay slot and leaves the chat flow untouched.

It is built for anyone who runs long, multi-turn sessions in DeepSeek Harness — drafting proposals, iterating on code, breaking down complex problems. Once installed, that quiet tick rail is always there on the right; wherever you want to go, you just click it.

Use Cases

  • Locate a specific user turn instantly in a long conversation
  • Review discussion context without repeated upward scrolling
  • Hover to read the full question, then jump to that round with one click

Best For

  • Harness users who run frequent multi-turn deep conversations
  • Users who need to revisit history during drafting or code iteration
  • Users who value efficiency and visual cleanliness in the chat UI