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even-g2-bridge甚至 g2 桥

Agent Skill

even-g2-bridge 用于辅助部署、云资源、容器和基础设施运维,适合在 OpenClaw 中需要检查配置、整理部署步骤或排查环境问题时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

10,988

周安装

472

GitHub Stars

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下载量

3,852
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:even-g2-bridge(甚至 g2 桥)
来源仓库:https://github.com/daaab/even-g2-bridge
安装命令:
openclaw skills install even-g2-bridge
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 even-g2-bridge

简介

通过 Cloudflare Worker 桥接 Even Realities G2 智能眼镜。

  • 将语音命令路由至 OpenClaw 网关实现设备联动。
  • 适用于 AR 眼镜与 AI 代理的无缝交互场景。even-g2-bridge 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 通过 clawhub 安装,集成至 OpenClaw 宿主环境。
  • 需配置正确的 Worker 脚本与网络访问权限。

SKILL.md

name
even-g2-bridge
description
Connect Even Realities G2 smart glasses to OpenClaw via Cloudflare Worker. Deploys a bridge that routes G2 voice commands to your OpenClaw Gateway — same agent, same memory, same tools, just voice instead of typing. Supports short conversations (direct reply on glasses), long tasks (background processing with Telegram delivery), and image generation (DALL-E → Telegram). Use when: setting up G2 glasses with OpenClaw, deploying the G2 bridge worker, or troubleshooting G2 ↔ OpenClaw connectivity.
license
MIT
compatibility
Requires: Cloudflare account (free plan works), OpenClaw Gateway with HTTP API enabled. Optional: OpenAI API key (image gen), Telegram bot (rich content delivery).
metadata
author
dAAAb
version
5.0.0
repository
https://github.com/dAAAb/openclaw-even-g2-bridge-skill
icon
assets/icon.png
required_secrets
description
Your OpenClaw Gateway URL (e.g. https://your-gateway.example.com)
required
true
description
OpenClaw Gateway auth token — stored in CF Worker secrets, never exposed to glasses
required
true
description
Token for G2 glasses authentication — you choose this value
required
true
description
Anthropic API key for fallback when Gateway is unreachable
required
true
description
Telegram bot token for delivering rich content (images, code, long text)
required
false
description
Telegram chat ID for content delivery
required
false
description
OpenAI API key for DALL-E image generation
required
false
security_notes
|

Even Realities G2 × OpenClaw Bridge

Deploy a Cloudflare Worker that connects Even Realities G2 smart glasses to your OpenClaw Gateway.

What It Does

G2 Glasses → (voice→text) → CF Worker → OpenClaw Gateway → Full Agent
                                ↓                              ↓
                          G2 display (text)            Telegram (rich content)
  • Short tasks (chat, questions): Gateway responds → displayed on G2
  • Long tasks (write code, articles): G2 shows "Working on it..." → result sent to Telegram
  • Image generation: DALL-E generates → sent to Telegram (G2 can't show images)
  • Fallback: If Gateway is down, falls back to direct Claude API

Prerequisites

  1. Even Realities G2 glasses with Even app (v0.0.7+ with "Add Agent" support)
  2. OpenClaw Gateway with HTTP API enabled
  3. Cloudflare account (free plan works)
  4. Anthropic API key (fallback)
  5. Optional: OpenAI API key (image gen), Telegram bot token (rich content delivery)

Setup

1. Enable OpenClaw Gateway HTTP API

On your OpenClaw host, enable the chat completions endpoint:

openclaw config set gateway.http.endpoints.chatCompletions.enabled true
openclaw gateway restart

Verify:

curl -X POST https://YOUR_GATEWAY_URL/v1/chat/completions \
  -H "Authorization: Bearer YOUR_GATEWAY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"model":"openclaw","messages":[{"role":"user","content":"hi"}]}'

2. Deploy Cloudflare Worker

Copy scripts/worker.js to your project, then deploy:

# Install wrangler
npm install -g wrangler

# Login to Cloudflare
wrangler login

# Deploy
wrangler deploy

Or use the Cloudflare Dashboard: Workers & Pages → Create → Upload worker.js.

3. Set Secrets

# Required
wrangler secret put GATEWAY_URL      # Your OpenClaw Gateway URL
wrangler secret put GATEWAY_TOKEN    # Your Gateway auth token
wrangler secret put G2_TOKEN         # Token for G2 glasses auth (you choose)
wrangler secret put ANTHROPIC_API_KEY # Fallback when Gateway is down

# Optional (for Telegram delivery of rich content)
wrangler secret put TELEGRAM_BOT_TOKEN
wrangler secret put TELEGRAM_CHAT_ID

# Optional (for image generation)
wrangler secret put OPENAI_API_KEY

4. Configure G2 Glasses

In Even app → Settings → Add Agent:

  • Name: Your agent name (e.g., "Cloud Lobster")
  • URL: https://YOUR_WORKER.workers.dev
  • Token: The G2_TOKEN you set above

5. Test

curl -X POST https://YOUR_WORKER.workers.dev \
  -H "Authorization: Bearer YOUR_G2_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"model":"openclaw","messages":[{"role":"user","content":"Hello, who are you?"}]}'

Architecture

Request Flow

  1. G2 converts speech → text, sends as OpenAI chat completion format
  2. Worker authenticates via G2_TOKEN
  3. Worker classifies request:

- Image gen → DALL-E + Telegram (immediate G2 ack) - Long task → immediate G2 ack + background Gateway call → Telegram - Short task → proxy to Gateway → return to G2

  1. Gateway runs full agent loop (memory, tools, skills)
  2. Response filtered for G2 display (no URLs, code blocks → Telegram)

Security

Two-layer token auth:

G2 --[G2_TOKEN]--> Worker --[GATEWAY_TOKEN]--> Gateway
  • G2 only knows G2_TOKEN — if glasses are lost, change only this token
  • GATEWAY_TOKEN stays in Worker secrets, never exposed to glasses
  • Gateway HTTP API should be behind auth (token or password mode)

G2 Display Limitations

  • 576×136 pixels, monochrome green, ~48 chars wide
  • Text only (no images, no markdown rendering)
  • Worker auto-filters: URLs → [link], code blocks → [code], long text → truncated
  • Non-displayable content forwarded to Telegram

Customization

Edit the task classification regex in worker.js:

  • isLongTask() — patterns that trigger background processing
  • isImageGenRequest() — patterns that trigger DALL-E

Troubleshooting

  • G2 says "Unauthorized": Check G2_TOKEN matches in Worker secrets and Even app
  • "Gateway not configured": Verify GATEWAY_URL and GATEWAY_TOKEN secrets are set
  • Timeout on short tasks: Gateway may be slow; increase SHORT_TIMEOUT (max ~25s for CF Workers)
  • No Telegram delivery: Check TELEGRAM_BOT_TOKEN and TELEGRAM_CHAT_ID secrets
  • Gateway returns 404: Ensure chatCompletions.enabled: true in OpenClaw config + restart

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

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能力 2

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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

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按下载量换算3,555

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敏感数据

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安装前确认

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