Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.
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A specialized tool for sending quantitative trading signals to the FMZ platform via HTTP API.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
This skill serves as a bridge between the OpenClaw AI agent and the FMZ Quantum Trading Platform. It enables the AI to execute trade decisions (Buy/Sell/Wait) programmatically by sending structured JSON signals to a specific robot instance running on FMZ.
The AI should invoke this tool when a market analysis concludes with a definitive trading action.
| Parameter | Type | Description |
|---|---|---|
action | string | The specific trading action to take. Accepted values: buy, sell, wait, close. |
symbol | string | The trading pair symbol, formatted as BASE_QUOTE (e.g., BTC_USDT, ETH_USDT). |
price | float | The current market price or limit price for the order. |
reason | string | A brief explanation of why this trade decision was made (e.g., "RSI overbought", "Breaking support"). |
When the AI detects a buying opportunity for Bitcoin at 65000 USDT due to a positive trend:
handler(
action="buy",
symbol="BTC_USDT",
price=65000.0,
reason="MACD golden cross detected on 4H chart."
)
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Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.
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Query historical crypto market data from 0xArchive across Hyperliquid, Lighter.xyz, and HIP-3. Covers orderbooks, trades, candles, funding rates, open interest, liquidations, and data quality. Use when the user asks about crypto market data, orderbooks, trades, funding rates, or historical prices on Hyperliquid, Lighter.xyz, or HIP-3.
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Calculate ROI for AI-as-a-Service (managed AI agents). Estimates cost savings, efficiency gains, and payback period for deploying AI agents across business operations. Use when evaluating whether managed AI agents make financial sense for a company.
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Design, build, deploy, and operate production AI agent systems — single agents, multi-agent teams, and autonomous swarms. Complete methodology from agent architecture through orchestration, memory systems, safety guardrails, and operational excellence.
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Design, build, test, document, and secure production-grade APIs. Covers the full lifecycle from schema design through deployment, monitoring, and versioning. Use when designing new APIs, reviewing existing ones, generating OpenAPI specs, building test suites, or debugging production issues.
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Turn your AI agent into a business automation architect. Design, document, implement, and monitor automated workflows across sales, ops, finance, HR, and support — no n8n or Zapier required.
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