DSH Marketplace

dsh-prompt-enhancer

Fishsb/dsh-prompt-enhancer

One-click prompt enhancement (5 modes, memory chain, multi-model fallback) plus voice recognition (cloud Qwen3-ASR / offline SenseVoice, auto-stop on silence) for the composer, with one-click DSH service restart.

736JavaScriptSource

Install

Add dsh-prompt-enhancer to DeepSeek Harness

via GitHub · GitHub source

Installing from GitHub runs the project's build script, which pnpm blocks until you allowlist it — run the command once and pnpm prints the exact key to add under `allowBuilds` in ~/.dsh/profiles/web/pnpm-workspace.yaml.

What happened when we ran it

Installed cleanly when we ran it

Every command here is run in a throwaway container against a clean profile, and the result is whatever the harness recorded — not a guess from the source. Last run 19d ago.

Show it in your README

install verified — dshmarketplace

For maintainers: the badge serves this listing's latest sandbox verdict, so a re-run updates it on its own — and it links readers to the full result here.

Due diligence

Before you install dsh-prompt-enhancer

  • Source of record: Fishsb/dsh-prompt-enhancer — present in the community registry that DSH's own plugin market installs from.
  • No licence file detected. Code without a licence is all-rights-reserved by default.
  • A listing here is not a security review. Plugins run with your agent's permissions.

The AI take

What it is — This DeepSeek Harness plugin provides prompt enhancement and voice recognition.

Who it is for — Users who optimize prompts in the input box of DeepSeek Harness are suitable for installing this plugin. Users who do not use DeepSeek Harness for content creation can choose not to install it.

Watch out — Sandbox test passed, no security issues found. Installation requires manual restart of DeepSeek Harness to take effect. Voice recognition requires manual download of local model.

The verdict — I would install it because it provides prompt enhancement and voice recognition for DeepSeek Harness, but I would have to manually restart after installation.

Generated by grok-4.6, and a starting point rather than a verdict. Where it says a plugin installs or does not, that is from a real run in a clean profile — everything else is read off the repository. Trust the source over this.

What dsh-prompt-enhancer does

Abstract streams of text and waveforms pass through processors into a clean block and restart loop.

dsh-prompt-enhancer is a DeepSeek Harness plugin that enhances composer drafts with a separate LLM call, and can also turn speech into draft text. DeepSeek Harness loads the plugin into the web profile, where an ✨ composer action reads the current non-empty draft, sends it to the selected model chain, and replaces the draft with the result. The original text remains undoable; enhancement can be repeated or cancelled. Five modes range from direct rewriting to generating a complete development specification. An optional memory setting carries an optimisation–revision chain into the next optimisation and clears it when a message is sent.

The plugin also adds a 🎤 recording action. Speech uses cloud Qwen3-ASR or an optionally downloaded, local SenseVoice engine, with voice-activity detection to stop after a pause. Recognition can be normalised through the base LLM and can trigger enhancement automatically. Recordings are held in memory rather than written to disk. The web client must provide inputActions.setDraft; clients without that contract disable voice input or append recognised text instead.

dsh-prompt-enhancer suits developers who want draft rewriting or voice entry within the composer. It is a poor fit when external LLM processing is unsuitable, when pnpm is unavailable on the local machine, or when a client does not support the documented draft-insertion contract. Its separate restart utility can also create a desktop shortcut or run a Node command to restart the dsh-web service.

dsh-prompt-enhancer documentation

Configuring dsh-prompt-enhancer

DeepSeek Harness exposes the plugin settings under Settings → Model and Plugins:

Area Controls
Model configuration Ordered optimisation model chain, model enablement, thinking toggle, inline connectivity tests, and voice engine settings
Optimisation parameters Optimisation mode, memory switch, context budget, timeout, output limit, and template
Voice recognition Cloud Qwen3-ASR or local SenseVoice, global shortcut, local model download, text normalisation, and automatic enhancement

The local SenseVoice model is optional. Selecting the local engine and choosing Download model downloads the documented 228 MB model with progress reporting.

Commands provided by dsh-prompt-enhancer

DeepSeek Harness manages installation, updates, and removal through its plugin commands. The README documents dsh plugin --profile web update dsh-prompt-enhancer and dsh plugin --profile web remove dsh-prompt-enhancer; removal takes effect after restarting DeepSeek Harness.

The independent restart executor can be called without the web page:

node "<DSH_HOME>\AppData\Local\dsh-prompt-enhancer\executor\0.1.11\lib\updater-host.cjs" --cli restart --service dsh-web --profile web

The plugin can also generate a desktop shortcut from its port-restart settings. The executor supports service restart with process-level fallback.

How dsh-prompt-enhancer behaves

The ✨ action rewrites the current draft, while slash-command prefixes are preserved and only the body is optimised. The voice action detects a pause, recognises speech, optionally normalises it, and inserts the result into the draft. Enhancement history is read and written only while the memory switch is enabled; sending a message clears that chain.

Requirements and limits

DeepSeek Harness must already be installed, and pnpm must be available on PATH. Voice insertion depends on the client injecting inputActions.setDraft: the official web client satisfies this contract, while other clients may degrade or disable the feature. The local engine uses an optional model download rather than bundling the model with the plugin.

Written from the project's own documentation and kept in sync with it. Where the two disagree, the source is authoritative — read the README on GitHub

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