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google-chatGoogle Chat 搜索

Agent Skill

google-chat 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

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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

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:google-chat(Google Chat 搜索)
来源仓库:https://github.com/clawdbot/skills
仓库路径:skills/google-chat
安装命令:
npx skills add clawdbot/skills --skill "google-chat"
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 npx skills 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。

AgentSkills.tonpx skills
npx skills add clawdbot/skills --skill "google-chat"

简介

google-chat 用于查找、检索和筛选相关信息。

  • 适合在需要根据关键词或任务场景快速定位候选结果时使用。
  • 可结合来源仓库和原始 README 核验具体用法。google-chat 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 安装方式:通过 npx 从 clawdbot/skills 仓库添加技能。
  • 注意:建议确认权限范围、维护状态及是否触发联网或命令执行。

SKILL.md

name
google-chat
description
Send messages to Google Chat spaces and users via webhooks or OAuth. Use when you need to send notifications, alerts, or messages to Google Chat channels (spaces) or direct messages to specific users. Supports both incoming webhooks (for predefined channels) and OAuth 2.0 (for dynamic messaging to any space or user).

Google Chat Messaging

Send messages to Google Chat using two methods:

  1. Webhooks - Fast, pre-configured channels (messages appear as a bot)
  2. OAuth - Dynamic messaging to any space or user (requires authentication)

Quick Start

Method 1: Webhooks (Recommended for Known Channels)

Send to a pre-configured channel:

python3 scripts/send_webhook.py "$WEBHOOK_URL" "Your message here"

Example with threading:

python3 scripts/send_webhook.py "$WEBHOOK_URL" "Reply message" --thread_key "unique-thread-id"

Configuration: Store webhooks in google-chat-config.json:

{
  "webhooks": {
    "acs_engineering_network": "https://chat.googleapis.com/v1/spaces/...",
    "general": "https://chat.googleapis.com/v1/spaces/..."
  }
}

Read config and send:

WEBHOOK_URL=$(jq -r '.webhooks.acs_engineering_network' google-chat-config.json)
python3 scripts/send_webhook.py "$WEBHOOK_URL" "Deploy completed ✅"

Method 2: OAuth (For Dynamic Messaging)

First-time setup:

  1. Save OAuth credentials to a file (e.g., google-chat-oauth-credentials.json)
  2. Run initial authentication (opens browser, saves token):
python3 scripts/send_oauth.py \
  --credentials google-chat-oauth-credentials.json \
  --token google-chat-token.json \
  --space "General" \
  "Test message"

Send to a space by name:

python3 scripts/send_oauth.py \
  --credentials google-chat-oauth-credentials.json \
  --token google-chat-token.json \
  --space "Engineering Network" \
  "Deploy completed"

Note: OAuth messages automatically include 🤖 emoji prefix. Use --no-emoji to disable this:

python3 scripts/send_oauth.py \
  --credentials google-chat-oauth-credentials.json \
  --token google-chat-token.json \
  --space "Engineering Network" \
  "Message without emoji" \
  --no-emoji

List available spaces:

python3 scripts/send_oauth.py \
  --credentials google-chat-oauth-credentials.json \
  --token google-chat-token.json \
  --list-spaces

Send to a DM (requires existing space ID):

# Note: Google Chat API doesn't support creating new DMs by email
# You need the space ID of an existing DM conversation
python3 scripts/send_oauth.py \
  --credentials google-chat-oauth-credentials.json \
  --token google-chat-token.json \
  --space-id "spaces/xxxxx" \
  "The report is ready"

Send to space by ID (faster):

python3 scripts/send_oauth.py \
  --credentials google-chat-oauth-credentials.json \
  --token google-chat-token.json \
  --space-id "spaces/AAAALtlqgVA" \
  "Direct message to space"

Dependencies

Install required Python packages:

pip install google-auth-oauthlib google-auth-httplib2 google-api-python-client

Required OAuth Scopes:

  • https://www.googleapis.com/auth/chat.messages - Send messages
  • https://www.googleapis.com/auth/chat.spaces - Access space information
  • https://www.googleapis.com/auth/chat.memberships.readonly - List space members (for DM identification)

OAuth Setup Guide

If OAuth credentials don't exist yet:

  1. Go to Google Cloud Console
  2. Select your project or create one
  3. Enable Google Chat API
  4. Go to APIs & Services → Credentials
  5. Create OAuth 2.0 Client ID (Desktop app type)
  6. Download JSON and save as google-chat-oauth-credentials.json

The credentials JSON should look like:

{
  "installed": {
    "client_id": "...apps.googleusercontent.com",
    "client_secret": "GOCSPX-...",
    "redirect_uris": ["http://localhost"],
    ...
  }
}

Webhook Setup Guide

To create a webhook for a Google Chat space:

  1. Open Google Chat in browser
  2. Go to the space
  3. Click space name → Apps & integrations
  4. Click Manage webhooksAdd webhook
  5. Give it a name (e.g., "Agustin Networks")
  6. Copy the webhook URL
  7. Add to google-chat-config.json

Choosing the Right Method

Use Webhooks when:

  • Sending to the same channels repeatedly
  • Messages should appear as a bot/service
  • Speed is important (no OAuth handshake)
  • Configuration is static

Use OAuth when:

  • Sending to different spaces dynamically
  • Messages should appear from your configured Google Chat App
  • Space names are determined at runtime
  • Need to list and discover available spaces

OAuth Limitations:

  • Cannot create new DMs by email address (Google Chat API restriction)
  • To send DMs, you need the space ID of an existing conversation
  • Use --list-spaces to find available DM space IDs

Message Formatting

Both methods support simple text. For advanced formatting (cards, buttons), construct JSON payloads:

Webhook with card:

import json
import urllib.request

payload = {
    "cardsV2": [{
        "cardId": "unique-card-id",
        "card": {
            "header": {"title": "Deploy Status"},
            "sections": [{
                "widgets": [{
                    "textParagraph": {"text": "Production deploy completed successfully"}
                }]
            }]
        }
    }]
}

data = json.dumps(payload).encode("utf-8")
req = urllib.request.Request(webhook_url, data=data, headers={"Content-Type": "application/json"})
urllib.request.urlopen(req)

Troubleshooting

Webhook errors:

  • Verify webhook URL is correct and active
  • Check space still exists and webhook wasn't deleted
  • Ensure message isn't empty

OAuth errors:

  • Run authentication flow again if token expired
  • Verify Google Chat API is enabled in Cloud Console
  • Check user has access to the target space
  • For DMs, ensure user email is correct and in same workspace

Permission errors:

  • Webhooks: Must be member of the space
  • OAuth: Must have access to target space or user
  • Corporate Workspace: Some features may be restricted by admin policies

Examples

Deploy notification to engineering channel:

WEBHOOK=$(jq -r '.webhooks.acs_engineering_network' google-chat-config.json)
python3 scripts/send_webhook.py "$WEBHOOK" "🚀 Production deploy v2.1.0 completed"

Alert specific user about task:

python3 scripts/send_oauth.py \
  --credentials google-chat-oauth-credentials.json \
  --token google-chat-token.json \
  --dm  [email protected]  \
  "Your report is ready for review: https://docs.company.com/report"

Thread multiple messages together (webhook):

WEBHOOK=$(jq -r '.webhooks.general' google-chat-config.json)
THREAD_KEY="deploy-$(date +%s)"

python3 scripts/send_webhook.py "$WEBHOOK" "Starting deploy..." --thread_key "$THREAD_KEY"
# ... deployment happens ...
python3 scripts/send_webhook.py "$WEBHOOK" "Deploy completed ✅" --thread_key "$THREAD_KEY"

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

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

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

windsurf

32.77%
按下载量换算3,403

OpenCode

20.96%
按下载量换算2,176

Codex

20.22%
按下载量换算2,099

clawdbot

13.48%
按下载量换算1,400

Cursor

8.07%
按下载量换算838

Claude Code

3.15%
按下载量换算327

安全审计

暂无安全审计结果可展示。

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。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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