DeepSeek HarnessHub
Submit plugin

wuwangmao/dsh-qwen-multimodal ↗★ 0

dsh-qwen-multimodal

DSH bundle: Qwen multimodal bridge — vision (qwen3-vl), speech-to-text (qwen3-asr), text-to-image (qwen-image), via the deepseek-vision skill scripts

AI Analysis

核心用途是通过集成千问系列模型，为 DSH 提供图片描述、音频转录和图像生成三大工具。适合需要本地或云端千问多模态能力辅助 Agent 任务的用户。

skillsVisionintegrations
Package
dsh-qwen-multimodal
Version
0.1.0
License
MIT
Last updated
Aug 14, 2026

Install

$npx -p @deepseek-ai/dsh dsh plugin --profile web add github:wuwangmao/dsh-qwen-multimodal

README

Read the full README ↗

Configuration overrides

The plugin uses the bundled skill directory by default. To point it at an external directory (e.g. to reuse an existing .env and scripts, or to keep your key outside node_modules), restate the row:

- insert:
    - id: qwen-multimodal
      name: dsh-qwen-multimodal
      config:
        skillDir: 'D:/qwen-vision'
        pythonPath: 'C:/path/to/python.exe'

Usage

Once loaded, the model can call the three tools directly:

  • describe_image({ images: ['screenshot.png'] }) — verbatim extraction of text/code/errors in images
  • describe_image({ images: ['chart.png'], prompt: '逐字提取图中所有文字，保留原样' }) — custom prompt
  • transcribe_audio({ audios: ['recording.m4a'], language: 'zh' }) — specify language for accuracy
  • generate_image({ prompt: 'a cute orange cat on a windowsill watching the sunset', out_dir: './out' }) — generate and save locally
  • generate_image({ prompt: '...', out_dir: './out', verify: true }) — generate, then automatically re-check the result with Qwen VL against the prompt (quality loop)