dsh-image-dscriber
Run the following command in DeepSeek Harness:
dsh plugin install shuxu-zhao/dsh-image-dscriber
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install shuxu-zhao/dsh-image-dsubscriber in the terminal to install the plugin, source available at https://github.com/shuxu-zhao/dsh-image-dsubscriber, then link it to your DeepSeek Harness Web Profile and declare the image modality in settings.yaml as described in the README to enable visual understanding for text-only models. Source: https://github.com/shuxu-zhao/dsh-image-dscriber
About this plugin
Text-only models in DeepSeek Harness (such as deepseek-v4-flash and deepseek-v4-pro) have no visual channel. When a user pastes a screenshot, the model either crashes on binary data or kicks off pointless local file searches, completely unable to understand the image. dsh-image-describer closes that gap.
The plugin offers dual-mode visual understanding. In attachment mode, the image is processed by a vision model (MiniMax-M3 by default) for OCR and layout recognition, then replaced with a structured prompt so the text model can answer directly from the extracted content. In tool mode, the model autonomously invokes the describe_image tool to read a workspace image file; the vision model returns a targeted analysis, and the entire call is visible in the Web UI tool card.
Built for developers who use text-only models in DeepSeek Harness but still need the model to see screenshots, architecture diagrams, error captures, and other images. Simply declare the image modality in settings and point to a vision model for visual understanding with zero extra code.
Screenshots
Use Cases
- Inspect screenshots, error captures, or UI snapshots in a text-only model
- Let the model autonomously analyze local architecture diagrams or flowcharts
- Perform OCR and layout-content recognition on pasted images
Best For
- Developers using text-only models like deepseek-v4-flash in DeepSeek Harness
- Teams that need LLM image understanding without a dedicated multimodal model
- Users who want to add visual understanding to existing workflows with zero code
Related Plugins
A unified suite combining hot runtime injection, task-aware thinking-mode routing, and a graded session protocol with red-team gates to sustain model diligence across long-horizon inference.
ModLens is a vision plugin for DeepSeek Harness that gives text-only models sight by reading images pasted directly into chat, with zero-config setup and multiple vision engines.
On-demand vision for text-only DeepSeek Harness agents: built-in free keyless vision chain and 14 vision tools, routing image turns as tool calls to vision models with pixel fidelity, no Python needed, one-command install.
Give text-only models in DeepSeek Harness eyes, enabling image Q&A, long-screenshot OCR, UI restoration, and GUI visual tasks.