Agent 与会话插件

dsh-prompt-boost

Name: dsh-prompt-boost
Author: 060625dfy

060625dfy/dsh-prompt-boost

优化输入内容的 DSH 插件（仿 Trae CN）：模型选择器旁的 ✨ 按钮一键把输入想法改写为高质量、忠实原文、可直接执行的提示词，↩ 一键撤销恢复原文。An input-optimizer plugin for DeepSeek Harness web GUI.

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PROJECT TOPICS

项目标签

ai-prompt deepseek-harness dsh dsh-plugin 0 0 0

PROJECT README

README

dsh-prompt-boost — 优化输入内容

English | 中文

Trae-style input booster for the DeepSeek Harness (DSH) web GUI. A sparkle (✨) button beside the model selector rewrites your typed draft into a high-quality, faithful, directly executable prompt — and after optimization the same button turns into an undo (↩) icon to restore the original input.

Inspired by Trae CN's "优化输入内容" (optimize input) feature: type a rough idea, click the magic wand, and the composer text is rewritten into a clear, structured instruction that the AI can execute directly. If you don't like the result, click the undo icon to get your original text back — you can loop optimize ⇄ undo as often as you like.

Features

Feature	Description
✨ Optimize input	One-click rewrite of the current draft into a clear, structured, executable prompt
↩ Undo	After a successful write-back the button becomes an undo icon; click it to restore the original input
Task-aware	The optimizer detects the task type (coding, data processing, writing, analysis, research, ops, …) and organizes content accordingly
Fidelity-first	Every concrete detail from your input (paths, numbers, names, commands) is kept verbatim; nothing is invented — missing key info becomes a `【请补充：××】` placeholder
Natural output	Trae-style natural instruction text with numbered points — no "角色设定：/验收标准：" label headers, no JSON, no template tables
Language-locked	Output always follows the input language (Chinese in → Chinese out, English in → English out)
Anti-clobber	If you edit the draft while optimizing, the result is not written back and undo is not armed

Screenshots

✨ Optimize input	⏳ Optimizing	↩ Undo available

How it works

Host half (lib/index.js): serves POST /api/prompt-boost/optimize. It streams the optimization call through llm.stream using the deployment's default model (agentDefaultModel), applies the v6 optimizer policy, and returns { text } or { error } (90 s timeout, 8000-char input cap).
Browser half (lib/client.js): registers the conversation.input.right seat (tool row, right beside the model selector, before the send button), POSTs the draft, writes the result back via inputActions.setDraft, and manages the undo state machine.

Zero build: the package is plain JavaScript (ESM host + __ModuleLoader__ web bundle).

Install

Add the bundle patch to your web profile roster, e.g. in ~/.dsh/profiles/web/cordis.patch.yml:

- insert:
    - id: prompt-boost
      name: 'dsh-prompt-boost'

with the package available to the profile's node_modules (npm/link install), then reload the DSH host and refresh the GUI.

Usage

Type a rough idea in the composer, e.g. 帮我写个脚本整理下载文件夹，文件太乱了
Click the ✨ button (spinner while optimizing)
Review the optimized instruction in the composer, then send
Not happy? Click ↩ to restore the original input and try another phrasing

Requirements

DSH with llm + agentDefaultModel services mounted and a configured default model
Browser web GUI (conversation composer)

License

MIT

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