Execute crypto trading commands via natural language through the StandX CLI.
npx skills add https://github.com/wjllance/standx-cli --skill standx-cli
Please help me install this Agent Skill. Skill: standx-cli Source: https://github.com/wjllance/standx-cli/tree/main/openclaw Command: npx skills add https://github.com/wjllance/standx-cli --skill standx-cli
StandX CLI converts natural-language trading intents into reliable command-line execution so agents can query markets, manage orders, and monitor accounts without custom API integrations or brittle parsing logic.
Set STANDX_JWT and ask the agent: Check BTC price for BTC-USD using the StandX CLI and return JSON output.
High-intent search queries and answers about installing and using this skill.
You can execute conversational crypto trading by setting the STANDX_JWT environment variable and asking your agent to perform tasks like checking BTC-USD price or creating orders, returning results in JSON output mode without custom API integrations.
Yes, fetching real-time market data and WebSocket streams for crypto pairs is supported. You can retrieve tickers, order book depth, candlestick kline history, funding rates, and stream live updates directly through the command line interface.
JWT-based authentication is required for executing crypto orders via command line, with optional Ed25519 private key support for enhanced security. You must set the STANDX_JWT environment variable before running trading or account management commands.
Yes, JSON output modes are fully supported for scripting automation. The CLI provides JSON and OpenClaw output formats, command aliases, dry-run modes, and watch dashboards to facilitate automated crypto trading workflows.
You manage account balances and open limit orders across BTC, ETH, and SOL pairs by issuing conversational commands to view positions, create orders with set stop losses, and verify updated portfolio snapshots directly through the CLI.
Limitations of using a conversational CLI for crypto trading automation include the reliance on proper JWT setup and the need for precise natural-language phrasing to avoid execution errors. It is not designed to replace custom low-latency API integrations for high-frequency algorithmic trading.
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