deepseekplugins

DeepSeek Harness plugin

dsh-image-mmx

让文本模型（如 DeepSeek）在 DSH 里直接收发图片：图片落盘工作区、模型可见面自动替换为 mmx（MiniMax VLM）识别结果，用户侧照常显示缩略图。

Models & Providers
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Source facts

Repository
fengs2021/dsh-image-mmx
Latest update
Aug 17, 2026
Category
Models & Providers
GitHub stars
1
Format
plugin
Catalog evidence
Upstream dsh.bundle evidence
Evidence path
package.json#dsh.bundle
Checked against
0.1.0-rc.8
Upstream check date
2026-08-20

This evidence comes from the upstream catalog. This site has not installed, run, or security-reviewed the plugin.

Install

Start with a prompt that asks an agent to review the GitHub repository and source. Switch to the command if you want to install it yourself.

Copy this prompt into DSH, Codex, or another agent and ask it to review the GitHub repository and source first.

Do not install or run any commands yet. Read this plugin's GitHub repository, README, and relevant source code. Then answer the questions below clearly and directly so I can decide whether it fits my needs:

1. What is this plugin, and what problem does it solve?
2. Who is it for, and what are its typical use cases?
3. How is it used after installation? Include one minimal example.
4. What known limitations or privacy, security, compatibility, or maintenance risks does it have?
5. Give a clear recommendation: recommend, conditionally recommend, or do not recommend, with reasons.

Distinguish statements documented by the repository, inferences from source code, and unknowns. If evidence is insufficient, say so explicitly. Do not guess or simply repeat the README.

GitHub: https://github.com/fengs2021/dsh-image-mmx
Plugin: dsh-image-mmx
Author: fengs2021

Check the source files

Read the README and other files from this plugin directory before installing.

File explorer3 files
README.mdSource · read only

dsh-image-mmx

给 DeepSeek Harness 的文本模型装一双眼睛：会话里粘贴/发送图片，自动调用 mmx（MiniMax VLM） 识别，识别结果注入模型上下文——DeepSeek 等纯文本模型也能理解图片内容。

能力

  • 图片收发：文本模型（inputModalities 无 image）也能发送含图消息，不再报「当前模型不支持图片」
  • 自动识别：图片落盘到会话工作区 .attachments/，自动执行 mmx vision describe（MiniMax VLM）
  • 模型可见替换：图片块在模型可见面替换为 [图片N]:"<路径>" + mmx 识别文本（画面元素、布局、报错/代码/界面文字逐字保留）
  • 用户侧不变：人类 transcript 照常渲染原图缩略图（可点击放大）
  • 优雅降级：mmx 未安装/未认证/超时（60s）/格式不支持（gif）时降级为路径文本
  • 原生模型免打扰：本身支持图片输入的模型走原生路径，不做任何处理

配套插件：dsh-file-bridge（📎 附件按钮上传 + send_files 文件下发 + explorer 跳转）。

依赖

本机已安装并认证 mmx-cli（MiniMax 官方 CLI）：

npm install -g mmx-cli
mmx auth login --api-key sk-xxxxx   # 或 OAuth
mmx vision describe --image test.png   # 验证可用

安装

前置：DeepSeek Harness 0.1.0-rc.6+、Node.js 18+。

dsh plugin --profile web add 'github:fengs2021/dsh-image-mmx'
systemctl restart dsh-web

使用

1. 在 DSH Web 输入框粘贴/拖入图片（或配合 dsh-file-bridge 的 📎 附件按钮选图） 2. 发送后插件自动：落盘 → mmx 识别 → 模型直接读到识别结果并回复 3. 多图支持：每张图独立并行识别，按 [图片1] [图片2]... 编号

实现

基于 dsh-image-bridge（MIT）机制改造：

1. 包装 llm.resolveModelInfo 为文本模型补 image 模态（放行 api-proxy 预检） 2. agent/pre-step：图片落盘 + 并行调用 mmx vision describe 3. agent/request-error：surface replace 把图片块换成识别文本，retry 重发

License

MIT

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