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hummingbot-deploy蜂鸣机器人部署

Agent Skill

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

总安装

12,696

周安装

529

GitHub Stars

公开资料未说明

下载量

4,232
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:hummingbot-deploy(蜂鸣机器人部署)
来源仓库:https://github.com/fengtality/hummingbot-deploy
安装命令:
openclaw skills install hummingbot-deploy
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install hummingbot-deploy

简介

hummingbot-deploy 用于部署 Hummingbot 交易基础设施及相关服务组件。

  • 适合在 OpenClaw 中需要搭建量化交易环境或管理服务机器人的开发场景。
  • 支持 API 服务器、MCP 服务器和 Telegram 机器人的一键部署。
  • 使用前需确认目标环境、账号权限和网络配置,避免部署冲突或服务异常。
  • 建议在测试环境验证后再上线,确保稳定性和安全性。

SKILL.md

name
hummingbot-deploy
description
Deploy Hummingbot trading infrastructure including API server, MCP server, and Condor Telegram bot. Use this skill when the user wants to install, deploy, set up, or configure Hummingbot.
metadata
author
hummingbot

hummingbot-deploy

Deploy the Hummingbot trading infrastructure. Before starting, explain to the user what will be installed:

What You're Installing

  1. Hummingbot API (Required): Your personal trading server that exposes a standardized REST API for trading, fetching market data, and deploying bot strategies across many CEXs and DEXs.
  1. Hummingbot MCP (Optional): MCP server that helps AI agents (Claude, Gemini, Codex, etc.) interact with Hummingbot API. Only needed if using AI agent CLIs.
  1. Condor (Optional): Terminal and Telegram-based UI for Hummingbot API.

Components

ComponentRepository
Hummingbot APIhummingbot/hummingbot-api
MCP Serverhummingbot/mcp
Condorhummingbot/condor

Pre-Installation Check

Only Hummingbot API is required. MCP and Condor are optional add-ons.

First, run the environment check to verify prerequisites:

bash <(curl -s https://raw.githubusercontent.com/hummingbot/skills/main/skills/hummingbot-deploy/scripts/check_env.sh)

This checks: container detection, TTY, Docker, Docker Compose, Git, Make.

Install Hummingbot API

If ./hummingbot-api already exists, verify it's running by checking docker logs:

cd ./hummingbot-api && make deploy && sleep 2 && docker logs hummingbot-api 2>&1 | grep -i "uvicorn running"

If logs show "Uvicorn running", skip to "Install MCP Server". Otherwise, reset and reinstall.

Fresh install:

git clone https://github.com/hummingbot/hummingbot-api.git ./hummingbot-api
cd ./hummingbot-api

On regular machines (interactive TTY - check_env.sh shows "Interactive TTY: Yes"):

make setup    # Prompts for: API username, password, config password (defaults: admin/admin/admin)
make deploy

In containers (no TTY - check with [ -t 0 ] && echo "TTY" || echo "No TTY"):

# Set USER env var and create sudo shim if needed
export USER=${USER:-root}
[ "$(id -u)" = "0" ] && ! command -v sudo &>/dev/null && echo -e '#!/bin/bash\
while [[ "$1" == *=* ]]; do export "$1"; shift; done\
exec "$@"' > /usr/local/bin/sudo && chmod +x /usr/local/bin/sudo

# Create .env manually (skip interactive setup)
# Note: In containers, services communicate via Docker network (use container names, not localhost)
cat > .env << EOF
API_USER=admin
API_PASS=admin
CONFIG_API_PASS=admin
DEBUG_MODE=false
BROKER_HOST=hummingbot-broker
BROKER_PORT=1883
BROKER_API_USER=admin
BROKER_PASSWORD=password
DATABASE_URL=postgresql+asyncpg://hbot:hummingbot-api@hummingbot-postgres:5432/hummingbot_api
BOTS_PATH=/hummingbot-api/bots
EOF

# Patch docker-compose.yml (bind mounts don't work in Docker-in-Docker)
sed -i 's|./bots:/hummingbot-api/bots|hummingbot-bots:/hummingbot-api/bots|g' docker-compose.yml
sed -i '/init-db.sql.*docker-entrypoint/d' docker-compose.yml
# Add volume definition (check last 5 lines to avoid false positive from service definition)
tail -5 docker-compose.yml | grep -q "hummingbot-bots:" || echo "  hummingbot-bots: { }" >> docker-compose.yml

touch .setup-complete
make deploy

Verify: Wait 2 seconds then check logs for "Uvicorn running on http://0.0.0.0:8000":

sleep 2 && docker logs hummingbot-api 2>&1 | grep -i "uvicorn running"

Install MCP Server

Install the MCP server using your CLI's native command. Use the same credentials from API setup.

IMPORTANT: Do NOT ask the user which CLI to use. You already know which CLI you are:

  • If you are Claude Code, use claude
  • If you are Gemini CLI, use gemini
  • If you are Codex CLI, use codex
bash <(curl -s https://raw.githubusercontent.com/hummingbot/skills/main/skills/hummingbot-deploy/scripts/install_mcp.sh) \
  --agent <YOUR_CLI> --user <API_USER> --pass <API_PASS>

Example for Claude (substitute your actual CLI name and credentials):

bash <(curl -s https://raw.githubusercontent.com/hummingbot/skills/main/skills/hummingbot-deploy/scripts/install_mcp.sh) \
  --agent claude --user admin --pass admin

Installation Complete

After all components are installed, tell the user:

  1. Restart your AI agent (Claude Code, Gemini CLI, Codex CLI, etc.) to load the MCP server
  2. Install Hummingbot Skills to enable trading capabilities:
   npx skills add hummingbot/skills

Install Condor (Optional)

git clone https://github.com/hummingbot/condor.git ./condor
cd ./condor
bash setup-environment.sh  # Prompts for Telegram bot token
make deploy

Upgrade

cd ./hummingbot-api && git pull && make deploy

Verify Installation

bash <(curl -s https://raw.githubusercontent.com/hummingbot/skills/main/skills/hummingbot-deploy/scripts/verify.sh)

Troubleshooting

# View logs
cd ./hummingbot-api && docker compose logs -f

# Reset
cd ./hummingbot-api && docker compose down -v && rm -rf ./hummingbot-api

See Also

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

76.37%
按下载量换算3,232

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install hummingbot-deploy 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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