dsh-omni-vision
Local eyes for text-only models: eyes_render draws text/shapes/Mermaid onto a canvas in the Web GUI, eyes_paste captures pasted images, eyes_ocr reads text via the built-in Windows OCR (offline), and eyes_analyze inspects pixels as structured data — no vision model required.
Install
dsh plugin --profile web add github:Renji004/dsh-omni-vision
For reproducible installs, append #commit to pin a specific revision.
Local eyes for text-only models: eyes_render draws text/shapes/Mermaid onto a canvas in the Web GUI, eyes_paste captures pasted images, eyes_ocr reads text via the built-in Windows OCR (offline), and eyes_analyze inspects pixels as structured data — no vision model required.
No highlight list provided; see the repository README.
- Install and start DeepSeek Harness:
npx @deepseek-ai/dsh web - Run the install command above (the CLI resolves the plugin and verifies its source)
- Confirm with dsh plugins list; restart Harness if required
Plugins run with your dsh process permissions and may execute code during installation. Read the repository source and license first, and check for destructive commands or excessive access. This site only indexes; it does not vouch for third-party plugins.
| Repository | github.com/Renji004/dsh-omni-vision |
| License | Not declared (see repo) |
| Primary language | — |
| Downloads | 0 |
| GitHub stars | 0 |
| Last push | — |
| Cataloged | 2026-08-19 |
| Category | Vision & Multimodal |
Facts come from a public catalog snapshot (2026-09-16); descriptions are rewritten by us.
Sources: the public DeepSeek Harness plugin catalog and each plugin's GitHub repository. This is an independent third-party directory with no affiliation to or endorsement from DeepSeek, High-Flyer, or the plugin authors.
