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dsh-rich-questions

Client Updated 2026.09.02

Run the following command in DeepSeek Harness:

dsh plugin install svgop/dsh-rich-questions

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

Run dsh plugin install svgop/dsh-rich-questions to install; the source repository is https://github.com/svgop/dsh-rich-questions .

About this plugin

Most agent frameworks ask user questions with three flat options—pick A, B, or C—and move on. Real work is different: aligning acceptance criteria, scoping a build across a dozen interacting dimensions, gathering user expectations. Each answer changes what matters next, and every option hides a trade-off, a cost, and a status. dsh-rich-questions lets your agent compose that branching logic live, right in the chat composer you are already looking at. One tool call. No forms product, no account, no copy-paste.\n\nThe experience rests on three layers. First, paths: every option declares its own next, multi-select fans out depth-first, skips and free-text fall through to the question-level fallback, and the host re-derives the path independently so every claimed route is verifiable. Second, per-option intelligence: expand any option to see a Promise / Price / Present insight triplet, sources and citations, and a compact Mermaid diagram—behind one click, no hover ambushes. Third, speed: up to six whole-survey decision templates apply a complete answer map in one click; step-bank commits send answers to the host in the background, lock them permanently, and let them follow you across browsers; drafts autosave so a closed tab tomorrow still lands on the same question.\n\nIt is built for agent developers in DeepSeek Harness who find one-to-three flat questions insufficient but want to avoid bolting on an external survey platform. Zero runtime dependencies, MIT-licensed, host-authoritative pending state—you just need a dsh ≥ 0.1.2-alpha.1 Web profile.

Use Cases

  • An agent aligning acceptance criteria via layered branching instead of a flat option dump
  • Submitting long survey answers step-by-step, closing the browser, resuming next day on the same question
  • Applying a one-click whole-survey decision template when the user already knows the destination

Best For

  • Developers building agent conversation flows in DeepSeek Harness
  • Teams needing multi-dimensional requirement gathering without external form tools
  • Developers seeking zero-dependency, MIT-licensed plugins to enrich agent UX