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---
title: Deepseek Harness
id: custom-deepseek-harness
role: tool
category: tool
platform: universal
description: "Fetch, harness, and deploy Deepseek models with full repo instructions, file management, and agent integration."
---
# Deepseek Harness
## Overview
A powerful skill for AI coding agents to fetch, configure, and deploy Deepseek models. Includes full instructions for repo cloning, file setup, environment configuration, and agent integration.
## What This Skill Does
1. **Fetch** — Clone or pull the Deepseek model repo from GitHub
2. **Configure** — Set up environment variables, API keys, and config files
3. **Deploy** — Run the model locally or connect to cloud endpoints
4. **Integrate** — Connect the model to your AI agent workflow
## Prerequisites
- Python 3.10+ or Node.js 18+
- Git installed
- 8GB+ RAM (for 7B models) or 16GB+ (for larger models)
- CUDA-capable GPU (optional, for GPU acceleration)
## Fetching the Repo
```bash
# Clone the Deepseek Harness repo
git clone https://github.com/deepseek-ai/DeepSeek-V3.git
cd DeepSeek-V3
# Or for the Coder variant
git clone https://github.com/deepseek-ai/DeepSeek-Coder-V2.git
cd DeepSeek-Coder-V2
```
## File Structure
```
DeepSeek-V3/
├── README.md # Main documentation
├── requirements.txt # Python dependencies
├── setup.py # Package setup
├── configs/ # Model configurations
│ ├── 7b.yaml # 7B parameter config
│ ├── 16b.yaml # 16B parameter config
│ └── 67b.yaml # 67B parameter config
├── scripts/ # Utility scripts
│ ├── download.py # Model download script
│ ├── convert.py # Weight conversion
│ └── serve.py # API server
├── examples/ # Usage examples
└── tests/ # Test suite
```
## Agent Integration
### For opencode
1. Copy this SKILL.md to `~/.config/opencode/skills/deepseek-harness/SKILL.md`
2. Restart opencode
3. Use `@deepseek-harness` to invoke
### For Claude Code
1. Copy to `~/.claude/skills/deepseek-harness/SKILL.md`
2. Restart Claude Code
3. The skill auto-loads when relevant
### For Codex CLI
1. Copy to `~/.codex/skills/deepseek-harness/SKILL.md`
2. Restart Codex CLI
3. Invoke with the skill name
## Agent Instructions
When this skill is active, the agent should:
1. **Check prerequisites** — Verify Python/Node, Git, and hardware requirements
2. **Clone repo** — Use `git clone` to fetch the Deepseek repo
3. **Install deps** — Run `pip install -r requirements.txt` or `npm install`
4. **Configure** — Set up `.env` file with API keys if needed
5. **Test** — Run the test suite to verify setup
6. **Serve** — Start the model server for API access
## Environment Variables
```bash
# Required
DEEPSEEK_API_KEY=your_api_key_here
DEEPSEEK_MODEL_PATH=/path/to/model/weights
# Optional
DEEPSEEK_PORT=8080
DEEPSEEK_HOST=0.0.0.0
DEEPSEEK_GPU_DEVICE=cuda:0
```
## API Usage
```python
from deepseek_harness import DeepSeekClient
client = DeepSeekClient(
model="deepseek-v3-7b",
api_key="your_key"
)
response = client.chat(
messages=[{"role": "user", "content": "Hello!"}]
)
print(response.content)
```
## Troubleshooting
| Issue | Solution |
|-------|----------|
| `git clone` fails | Check network, try SSH: `git@github.com:deepseek-ai/DeepSeek-V3.git` |
| Out of memory | Use smaller model (7B) or enable quantization |
| CUDA not found | Install CUDA toolkit, set `DEEPSEEK_GPU_DEVICE=cpu` |
| Port already in use | Change `DEEPSEEK_PORT` in `.env` |
## Source
GitHub: [deepseek-ai/DeepSeek-V3](https://github.com/deepseek-ai/DeepSeek-V3)
License: MIT
---
## How to use?
### 1. Download
Go to the [AGENT KD SKILL gallery](https://ctaxnagomi.github.io/agent-kd-skill/) and find this skill card. Click **Download** to save the SKILL.md file to your computer.
### 2. Install
Copy the downloaded SKILL.md into your agent's skills directory:
| Agent | Path |
|-------|------|
| **opencode** | ~/.config/opencode/skills/deepseek-harness/SKILL.md |
| **Claude Code** | ~/.claude/skills/deepseek-harness/SKILL.md |
| **Codex CLI** | ~/.codex/skills/deepseek-harness/SKILL.md |
| **Cursor** | ~/.cursor/skills/deepseek-harness/SKILL.md |
| **Gemini CLI** | ~/.gemini/skills/deepseek-harness/SKILL.md |
### 3. Use
Restart your agent session. The skill will auto-load based on its description. You can also invoke it explicitly by typing @deepseek-harness in your agent.
### 4. Verify
Ask your agent something related to the skill's purpose. If it responds using the skill's instructions, you're all set.