# 🧩 SuperMate Harness System
**"Everything is a plugin" — a true agent assembled from the [DeepSeek Harness (DSH)](https://github.com/deepseek-ai/deepseek-harness) plugin architecture.**
[](https://raw.githubusercontent.com/supermate-ai/supermate-harness-system/main/LICENSE)
[](https://github.com/topics/dsh-plugin)
[](https://github.com/topics/minimax-h3)
**Cloud inspiration · Local controllability · Unified local/cloud tools** — 天人合一（heaven–human unity: cloud inspiration + local control + unified tools）.
**中文版**：[README-cn.md](https://github.com/SuperMate-Ai/SuperMate-Harness-System/blob/main/README-cn.md) · 中文说明
**DSH Ecosystem** · [DeepSeek Harness](https://github.com/deepseek-ai/deepseek-harness) · topic [`dsh-plugin`](https://github.com/topics/dsh-plugin) · [Agent Skills](https://agentskills.io)
**License** · [Apache-2.0](https://github.com/SuperMate-Ai/SuperMate-Harness-System/blob/main/LICENSE)（含专利授权条款）· 双许可边界见 [双许可说明](https://github.com/SuperMate-Ai/SuperMate-Harness-System/blob/main/双许可说明.md)（核心闭源商业层：调度/记忆治理/沙箱/评测）
---
## 🧩 What is SuperMate Harness System
A self-contained agent system built on DSH's *"everything is a plugin"* philosophy: **Skills** (the *how-to* layer) + **Plugins** (the *can-do* layer) freely composed and replaced. Downloading this repository gives you **both official deepseek-ai skills/plugins and SuperMate's original ones** — no extra fetching required.
```
SuperMate Harness System
├── skills/ → Skill layer (task-level: how-to)
│ ├── Deepseek-eyes/ 👁️ vision skill (Ollama)
│ ├── MiniMax h3-video-producer/
│ ├── Supermate/
│ └── DSH Official/ official skills (deepseek-ai · 13 · Apache-2.0 fork copy)
└── plugins/ → Plugin layer (system-level: can-do)
├── Supermate/ in-house plugins (planned; core enhancements = closed-source commercial)
├── DSH Official/ official plugins (deepseek-ai · 49 families · fork copy)
│ ├── packages/ official plugin source (ships with the repo)
│ ├── README.md · NOTICE.md
└── README.md plugin catalog (model / memory / schedule / tools / sandbox / eval / UI)
```
### ✨ Original Skills
| Skill | What it does |
|-------|--------------|
| [**Deepseek-eyes**](https://github.com/SuperMate-Ai/SuperMate-Harness-System/blob/main/skills/Deepseek-eyes/) | 👁️ Give text models eyes — local vision (Ollama) / OpenAI-compatible vision API → structured text |
**Official content ships with this repo** — 13 official skills & 49 official plugin families (deepseek-ai, Apache-2.0, NOTICE-attributed): [skills/DSH Official](https://github.com/SuperMate-Ai/SuperMate-Harness-System/blob/main/skills/DSH%20Official/) · [plugins/DSH Official](https://github.com/SuperMate-Ai/SuperMate-Harness-System/blob/main/plugins/DSH%20Official/).
---
## 👁️ Featured Skill · Give DeepSeek Eyes
> **Image → vision model converts it to text → the text model "sees"**
[**deepseek-eyes**](https://github.com/SuperMate-Ai/SuperMate-Harness-System/blob/main/skills/Deepseek-eyes/) gives DeepSeek (or any text model) a pair of eyes inside DeepSeek Harness — screenshots, photos, charts, design drafts, illustrations, character sheets, AI-generated images all become structured text the model can reason about.
⚙️ How it works
The Skill calls a local vision model (Ollama) or an OpenAI-compatible vision API to convert images and graphic files — screenshots, photos, charts, design drafts, illustrations, character sheets, AI-generated images — into structured text. DeepSeek then reads that text, which is exactly how it gains the ability to "read" images and graphic files.
Image / graphic file → Skill → local vision model or vision API → structured text → DeepSeek reads & reasons✨ The Skill
| Skill | What it does | Manuals |
|---|---|---|
| deepseek-eyes | Image analysis for text AI models: image → structured description + retrieval tags. Local Ollama or OpenAI-compatible vision API. | English · 中文 |
Architecture
Measured performance (RTX 5080 16GB)
🔗 DeepSeek Harness Ecosystem
This repository is part of the DeepSeek Harness plugin ecosystem — find it under the dsh-plugin topic, alongside DeepSeek Harness itself. Drop a skill folder into ~/.dsh/skills/, and the DSH agent automatically "opens its eyes" whenever it meets an image, injecting the image description into the text model's context.
🚀 Install into DSH
Put the skill folder into DSH's skill directory:
~/.dsh/skills/deepseek-eyes/Restart the DSH session — the agent automatically "opens its eyes" when it meets an image, and injects the image description into the text model's context.
✅ Prerequisites (for deepseek-eyes)
- Local vision model: Ollama +
ollama pull llava:13b(or any vision model) - or OpenAI-compatible vision API + API key
*SuperMate Harness System · Built on the DeepSeek Harness (DSH) plugin ecosystem — topic [`dsh-plugin`](https://github.com/topics/dsh-plugin)*