DeepSeek Harness plugin

dsh-vision-plugin-woyeshishen

describe_image tool that calls an external vision model so text-only DeepSeek Harness sessions can see pictures.

Jump to install

Source facts

Repository
woyeshishen/dsh-vision-plugin
Latest update
Aug 15, 2026
Category
Vision & Multimodal
GitHub stars
3
Format
bundle
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/woyeshishen/dsh-vision-plugin
Plugin: dsh-vision-plugin-woyeshishen
Author: woyeshishen

Check the source files

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

File explorer4 files
README.mdSource · read only
README language

dsh-vision-plugin

![npm version](https://www.npmjs.com/package/@woyeshishen/dsh-vision-plugin) ![license](LICENSE)

中文 | English

Adds image understanding to DeepSeek Harness (DSH): wire up an OpenAI-compatible external vision model, and a text-only main model (e.g. deepseek) can call the describe_image tool to hand an image to it and get a plain-text description — understanding screenshots, photos, charts, OCR, UIs, and more.

> Design: images go only to the secondary model (external vision model); the main model always deals with text.

Features

🖼️ Image understandingThe main model calls describe_image and gets a plain-text description
⚙️ GUI configurationFill in URL / API key / model on a settings page — no config files to edit
🔒 Secure credentialsAPI key stored in the credential store, never echoed
📦 Install once, keep workingAuto-loads at DSH startup, survives restarts

Install

One-liner (recommended)

Windows (PowerShell)

irm https://raw.githubusercontent.com/woyeshishen/dsh-vision-plugin/main/scripts/install.ps1 | iex

macOS / Linux

bash <(curl -fsSL https://raw.githubusercontent.com/woyeshishen/dsh-vision-plugin/main/scripts/install.sh)

dsh plugin command

From npm

dsh plugin --profile web add @woyeshishen/dsh-vision-plugin

From GitHub

dsh plugin --profile web add github:woyeshishen/dsh-vision-plugin

After install, the plugin auto-mounts into the profile; restart DSH (or hot-reload) to activate.

Usage

Step 1: Configure the external vision model

Open Settings → Multimodal Vision:

FieldDescription
URL (Base URL)OpenAI-compatible endpoint, e.g. https://api.example.com/v1
API keySecret for the external model (stored encrypted, never echoed)
ModelClick "Load models" to fetch and pick from the endpoint

Click Save.

Step 2: Ask the main model to look at an image

In a conversation, say:

> Take a look at D:\path\to\image.png and describe what's in it.

The main model calls describe_image, sends the image to the external vision model, and continues reasoning from the returned description.

Tool

describe_image

ParameterRequiredDescription
pathImage file path; supports png / jpg / jpeg / webp / gif
promptSpecific question about the image; defaults to "describe the image in detail"

Requirements

  • DeepSeek Harness
  • An OpenAI-compatible (/chat/completions), image-capable external vision model

License

[Apache-2.0](LICENSE)