bambu-studio-ai
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Open-source market making for AI agents. Multi-exchange trading, grid strategies, and real-time market data. CLI + MCP + Skills.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install adacapo21/openmm打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
OpenMM is an open-source market making framework — multi-exchange support, grid strategies, real-time market data, and automated trading. One CLI for everything.
GitHub: https://github.com/3rd-Eye-Labs/OpenMM MCP Server: https://github.com/QBT-Labs/OpenMM-MCP Docs: https://deepwiki.com/3rd-Eye-Labs/OpenMM
# Install
npm install -g @3rd-eye-labs/openmm
# Set exchange credentials as environment variables
export MEXC_API_KEY="your_api_key"
export MEXC_SECRET="your_secret_key"
# Check balances
openmm balance --exchange mexc
# Get ticker price
openmm ticker --exchange mexc --symbol BTC/USDT
# Start grid trading (dry run first)
openmm trade --strategy grid --exchange mexc --symbol INDY/USDT --dry-run
Run npx @qbtlabs/openmm-mcp to start a local MCP server over stdio. This exposes all 13 tools to any MCP-compatible client.
{
"mcpServers": {
"openmm": {
"command": "npx",
"args": ["@qbtlabs/openmm-mcp"],
"env": {
"MEXC_API_KEY": "your_key",
"MEXC_SECRET": "your_secret"
}
}
}
}
Only include env vars for exchanges you want to use.
import { OpenMM } from '@3rd-eye-labs/openmm';
const mm = new OpenMM({
exchange: 'mexc',
apiKey: process.env.MEXC_API_KEY,
secret: process.env.MEXC_SECRET
});
const orderbook = await mm...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
Open-source market making skills for AI agents
Agent Skills for OpenMM — multi-exchange trading, grid strategies, portfolio management, and real-time market data for AI agents.
Built on the open Agent Skills standard — a portable skill format recognized by OpenAI Codex, Gemini CLI, GitHub Copilot, Cursor, VS Code, OpenClaw, and 20+ other platforms.
clawhub install openmm-exchange-setup
clawhub install openmm-grid-trading
clawhub install openmm-portfolio
Point your agent at the raw skill URL:
https://raw.githubusercontent.com/QBT-Labs/OpenMM-ai/main/SKILL.md
https://raw.githubusercontent.com/QBT-Labs/OpenMM-ai/main/skills/exchange-setup/SKILL.md
https://raw.githubusercontent.com/QBT-Labs/OpenMM-ai/main/skills/grid-trading/SKILL.md
https://raw.githubusercontent.com/QBT-Labs/OpenMM-ai/main/skills/portfolio/SKILL.md
| Skill | What it does | Install |
|---|---|---|
| OpenMM (Core) | Full CLI, MCP, and library reference for multi-ex... |
# OpenMM — Open-Source Market Making for AI Agents
OpenMM is an open-source market making framework — multi-exchange support, grid strategies, real-time market data, and automated trading. One CLI for everything.
**GitHub:** https://github.com/3rd-Eye-Labs/OpenMM
**MCP Server:** https://github.com/QBT-Labs/OpenMM-MCP
**Docs:** https://deepwiki.com/3rd-Eye-Labs/OpenMM
## What is OpenMM?
- **Multi-Exchange** — MEXC, Gate.io, Kraken, Bitget
- **Grid Trading** — Automated grid strategies with dynamic spacing, sizing, and volatility adjustment
- **Market Data** — Tickers, orderbooks, recent trades across all exchanges
- **Order Management** — Limit/market orders, cancel, list open orders
- **Cardano DEX** — Pool discovery, aggregated prices via Iris Protocol
- **CLI + MCP** — Use via command line or as MCP server for AI agents
- **Open Source** — MIT licensed, fully customizable
## Quick Start
### Option A: CLI
```bash
# Install
npm install -g @3rd-eye-labs/openmm
# Set exchange credentials as environment variables
export MEXC_API_KEY="your_api_key"
export MEXC_SECRET="your_secret_key"
# Check balances
openmm balance --exchange mexc
# Get ticker price
openmm ticker --exchange mexc --symbol BTC/USDT
# Start grid trading (dry run first)
openmm trade --strategy grid --exchange mexc --symbol INDY/USDT --dry-run
```
### Option B: MCP Server
Run `npx @qbtlabs/openmm-mcp` to start a local MCP server over stdio. This exposes all 13 tools to any MCP-compatible client.
```json
{
"mcpServers": {
"openmm": {
"command": "npx",
"args": ["@qbtlabs/openmm-mcp"],
"env": {
"MEXC_API_KEY": "your_key",
"MEXC_SECRET": "your_secret"
}
}
}
}
```
Only include env vars for exchanges you want to use.
### Option C: As Library
```typescript
import { OpenMM } from '@3rd-eye-labs/openmm';
const mm = new OpenMM({
exchange: 'mexc',
apiKey: process.env.MEXC_API_KEY,
secret: process.env.MEXC_SECRET
});
const orderbook = await mm...# OpenMM AI Skills > Open-source market making skills for AI agents [](https://www.npmjs.com/package/@3rd-eye-labs/openmm) [](https://www.npmjs.com/package/@qbtlabs/openmm-trading) [](https://www.npmjs.com/package/@qbtlabs/openmm-market-data) [](https://www.npmjs.com/package/@qbtlabs/openclaw-openmm) [](LICENSE) [](https://deepwiki.com/3rd-Eye-Labs/OpenMM) [Agent Skills](https://agentskills.io/home) for [OpenMM](https://github.com/3rd-Eye-Labs/OpenMM) — multi-exchange trading, grid strategies, portfolio management, and real-time market data for AI agents. Built on the open [Agent Skills](https://agentskills.io/home) standard — a portable skill format recognized by OpenAI Codex, Gemini CLI, GitHub Copilot, Cursor, VS Code, OpenClaw, and 20+ other platforms. --- ## Install ### Install a skill (OpenClaw / ClawHub) ```bash clawhub install openmm-exchange-setup clawhub install openmm-grid-trading clawhub install openmm-portfolio ``` ### Install a skill (agents) Point your agent at the raw skill URL: ``` https://raw.githubusercontent.com/QBT-Labs/OpenMM-ai/main/SKILL.md https://raw.githubusercontent.com/QBT-Labs/OpenMM-ai/main/skills/exchange-setup/SKILL.md https://raw.githubusercontent.com/QBT-Labs/OpenMM-ai/main/skills/grid-trading/SKILL.md https://raw.githubusercontent.com/QBT-Labs/OpenMM-ai/main/skills/portfolio/SKILL.md ``` --- ## Skills | Skill | What it does | Install | |-------|-------------|---------| | **[OpenMM (Core)](#openmm-core)** | Full CLI, MCP, and library reference for multi-ex...
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