AgentHubAgentHub

google-search Skill Install & Guide

SkillClawHub

io.clawhub.fetcher-sh/google-search · v0.1.0

A Google Search API alternative and SERP API alternative on fetcher.sh — pay-per-call in USDC via x402, or prepaid credits with a Bearer key, no API key application. Use when the user wants programmatic Google search results as clean JSON, including Google's own operators — site:, filetype:, intitle:, and quoted exact phrases — plus pagination, language (hl), and country/region scoping. Also covers rank tracking input, competitive research, and search-result monitoring without Google's own Custom Search API quota and billing.

View on ClawHub ↗

Copy the install config on this page first, then verify docs and permissions upstream.

Popularity

Downloads4.6k

Overview

A Google Search API alternative and SERP API alternative on fetcher.sh — pay-per-call in USDC via x402, or prepaid credits with a Bearer key, no API key application. Use when the user wants programmatic Google search results as clean JSON, including Google's own operators — site:, filetype:, intitle:, and quoted exact phrases — plus pagination, language (hl), and country/region scoping. Also covers rank tracking input, competitive research, and search-result monitoring without Google's own Custom Search API quota and billing. google-search is a Agent Skill listed from ClawHub. This page includes an overview, setup tutorial, install commands, and use cases for Trae, Tongyi Lingma, Cursor, Claude Code, and VS Code.

googlesearchresearch

Use cases

Web scraping

AgentHub Verified AvailabilityTested & Ready

Automated pipeline validated install commands, protocol & client compatibility

Verified At2026-09-30
Install Snippets TestedCLI & JSON config syntax verified
Protocol Handshake ReadyComplies with JSON-RPC 2.0 specifications
Origin Registry ActiveSourced from clawhub
Verified Clientsopenclaw、Claude Code、Claude Desktop 等
Security Tier: A 级 · 标准受控运行 (A)·Scanned for high-risk vulnerabilities. Recommended to run with project-scoped permissions.

Send this prompt to your AI to install the Skill

Recommended
Target client (auto-optimizes prompt):
PROMPT >

Follow the install guide at https://myagenthub.cn/install/skill.md?lang=en to automatically detect the current IDE and install the skill "fetcher-sh/google-search" without asking, and tell me how to verify it afterwards.

💡Paste into your AI coding assistant (Cursor, Trae, Claude Code) — the agent will handle download and configuration automatically.

Copy by platformAlternative

Choose your platform

Choose install method

Click to copy snippet
# 改 --ai 切换客户端：trae | lingma | workbuddy | kimi | qwen | cursor | claude-code | windsurf | cline | vscode | codex | openclaw
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init fetcher-sh/google-search --ai cursor -y

Setup tutorial

  1. Open the google-search page and confirm the source is ClawHub.
  2. Copy the install command for Trae, Lingma, Cursor, Claude Code, or universal CLI.
  3. Run it, or place SKILL.md under .trae/skills/, .lingma/skills/, or .cursor/skills/.
  4. Reload the client, then describe your task so the agent can match this skill.

Install commands

Install commands and setup steps are in the HTML so search engines and no-JS browsers can read them without running client JavaScript.

Universal — Skills CLI (recommended)

AgentHub CLI (change --ai)

# 改 --ai 切换客户端：trae | lingma | workbuddy | kimi | qwen | cursor | claude-code | windsurf | cline | vscode | codex | openclaw
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init fetcher-sh/google-search --ai cursor -y

One-click API download

# 手动下载（Cursor 项目级示例）
mkdir -p .cursor/skills/google-search
curl -sL "https://clawhub.ai/api/v1/download?slug=google-search&version=0.1.0" -o /tmp/google-search.zip
unzip -o /tmp/google-search.zip -d .cursor/skills/google-search

Cursor

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init fetcher-sh/google-search --ai cursor -y

One-click API download

mkdir -p .cursor/skills/google-search
curl -sL "https://clawhub.ai/api/v1/download?slug=google-search&version=0.1.0" -o /tmp/google-search.zip
unzip -o /tmp/google-search.zip -d .cursor/skills/google-search

ClawHub CLI, then copy

# 在项目根目录执行 install
clawhub install fetcher-sh/google-search
mkdir -p .cursor/skills/google-search
cp -R ./skills/google-search/. .cursor/skills/google-search/

# 源：./skills/google-search/SKILL.md
# 目标：.cursor/skills/google-search/SKILL.md

Trae (ByteDance)

  1. Trae natively supports Skill specs: project-level in .trae/skills/<name>/, global in ~/.trae/skills/
  2. Copy and run the command in your project terminal to download SKILL.md
  3. Reload Trae window, then describe your task in AI chat to activate automatically

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init fetcher-sh/google-search --ai trae -y

One-click API download

mkdir -p .trae/skills/google-search
curl -sL "https://clawhub.ai/api/v1/download?slug=google-search&version=0.1.0" -o /tmp/google-search.zip
unzip -o /tmp/google-search.zip -d .trae/skills/google-search

User directory

mkdir -p ~/.trae/skills/google-search
curl -sL "https://clawhub.ai/api/v1/download?slug=google-search&version=0.1.0" -o /tmp/google-search.zip
unzip -o /tmp/google-search.zip -d ~/.trae/skills/google-search

Tongyi Lingma (Alibaba)

  1. Tongyi Lingma supports skills in project .lingma/skills/<name>/ or global ~/.lingma/skills/
  2. Run the command to install SKILL.md
  3. In Lingma Agent mode, prompt your task and the skill will be automatically loaded

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init fetcher-sh/google-search --ai lingma -y

One-click API download

mkdir -p .lingma/skills/google-search
curl -sL "https://clawhub.ai/api/v1/download?slug=google-search&version=0.1.0" -o /tmp/google-search.zip
unzip -o /tmp/google-search.zip -d .lingma/skills/google-search

User directory

mkdir -p ~/.lingma/skills/google-search
curl -sL "https://clawhub.ai/api/v1/download?slug=google-search&version=0.1.0" -o /tmp/google-search.zip
unzip -o /tmp/google-search.zip -d ~/.lingma/skills/google-search

WorkBuddy / CodeBuddy (Tencent)

  1. WorkBuddy reads skills only from .workbuddy/skills/<name>/ (user-level ~/.workbuddy/skills/); .codebuddy/skills/ belongs to CodeBuddy
  2. The Skills CLI command installs with -a codebuddy and appends a copy step into .workbuddy/skills
  3. AgentHub CLI (--ai workbuddy) syncs it for you; reload the chat panel so the skill gets indexed

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init fetcher-sh/google-search --ai workbuddy -y

One-click API download

mkdir -p .workbuddy/skills/google-search
curl -sL "https://clawhub.ai/api/v1/download?slug=google-search&version=0.1.0" -o /tmp/google-search.zip
unzip -o /tmp/google-search.zip -d .workbuddy/skills/google-search

User directory

mkdir -p ~/.workbuddy/skills/google-search
curl -sL "https://clawhub.ai/api/v1/download?slug=google-search&version=0.1.0" -o /tmp/google-search.zip
unzip -o /tmp/google-search.zip -d ~/.workbuddy/skills/google-search

Claude Code

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init fetcher-sh/google-search --ai claude-code --global -y

One-click API download

mkdir -p ~/.claude/skills/google-search
curl -sL "https://clawhub.ai/api/v1/download?slug=google-search&version=0.1.0" -o /tmp/google-search.zip
unzip -o /tmp/google-search.zip -d ~/.claude/skills/google-search

ClawHub CLI, then copy

clawhub install fetcher-sh/google-search
mkdir -p ~/.claude/skills/google-search
cp -R ./skills/google-search/. ~/.claude/skills/google-search/

# 源：./skills/google-search/SKILL.md
# 目标：~/.claude/skills/google-search/SKILL.md
# https://clawhub.ai/fetcher-sh/google-search

Kimi Code (Moonshot AI)

  1. Kimi Code supports standard Agent Skills: project-level in .agents/skills/<name>/, global in ~/.agents/skills/
  2. Run the command to install
  3. In Kimi Code CLI, describe your task to trigger the skill

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init fetcher-sh/google-search --ai kimi -y

One-click API download

mkdir -p .agents/skills/google-search
curl -sL "https://clawhub.ai/api/v1/download?slug=google-search&version=0.1.0" -o /tmp/google-search.zip
unzip -o /tmp/google-search.zip -d .agents/skills/google-search

User directory

mkdir -p ~/.agents/skills/google-search
curl -sL "https://clawhub.ai/api/v1/download?slug=google-search&version=0.1.0" -o /tmp/google-search.zip
unzip -o /tmp/google-search.zip -d ~/.agents/skills/google-search

Qwen Code (Alibaba)

  1. Qwen Code supports project .qwen/skills/<name>/ and global ~/.qwen/skills/
  2. Run the command to deploy SKILL.md
  3. Prompt the agent to trigger the skill

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init fetcher-sh/google-search --ai qwen -y

One-click API download

mkdir -p .qwen/skills/google-search
curl -sL "https://clawhub.ai/api/v1/download?slug=google-search&version=0.1.0" -o /tmp/google-search.zip
unzip -o /tmp/google-search.zip -d .qwen/skills/google-search

User directory

mkdir -p ~/.qwen/skills/google-search
curl -sL "https://clawhub.ai/api/v1/download?slug=google-search&version=0.1.0" -o /tmp/google-search.zip
unzip -o /tmp/google-search.zip -d ~/.qwen/skills/google-search

Windsurf

  1. Windsurf supports project-level .windsurf/skills/<name>/ or global ~/.codeium/windsurf/skills/
  2. Run the install command and refresh Cascade
  3. Cascade will auto-activate the skill based on its description

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init fetcher-sh/google-search --ai windsurf -y

One-click API download

mkdir -p .windsurf/skills/google-search
curl -sL "https://clawhub.ai/api/v1/download?slug=google-search&version=0.1.0" -o /tmp/google-search.zip
unzip -o /tmp/google-search.zip -d .windsurf/skills/google-search

User directory

mkdir -p ~/.codeium/windsurf/skills/google-search
curl -sL "https://clawhub.ai/api/v1/download?slug=google-search&version=0.1.0" -o /tmp/google-search.zip
unzip -o /tmp/google-search.zip -d ~/.codeium/windsurf/skills/google-search

Cline

  1. Cline supports standard .agents/skills/<name>/ structure
  2. Run the command to install the skill
  3. Ask questions in the Cline panel to trigger the skill

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init fetcher-sh/google-search --ai cline -y

One-click API download

mkdir -p .agents/skills/google-search
curl -sL "https://clawhub.ai/api/v1/download?slug=google-search&version=0.1.0" -o /tmp/google-search.zip
unzip -o /tmp/google-search.zip -d .agents/skills/google-search

Cherry Studio

  1. Use this skill as an Assistant system prompt in Cherry Studio
  2. Copy the command to view SKILL.md text
  3. Paste the contents into Cherry Studio Assistant system prompt
# 下载并提取 SKILL.md 指令内容
curl -sL "https://clawhub.ai/api/v1/download?slug=google-search&version=0.1.0" -o /tmp/google-search.zip
unzip -p /tmp/google-search.zip SKILL.md
# 复制上述输出，粘贴至 Cherry Studio → 助手设置 →「系统提示词」

VS Code / GitHub Copilot

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init fetcher-sh/google-search --ai vscode -y

One-click API download

curl -sL "https://clawhub.ai/api/v1/download?slug=google-search&version=0.1.0" -o /tmp/google-search.zip
mkdir -p .github/skills/google-search
unzip -o /tmp/google-search.zip -d .github/skills/google-search

OpenAI Codex

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init fetcher-sh/google-search --ai codex --global -y

One-click API download

mkdir -p ~/.codex/skills/google-search
curl -sL "https://clawhub.ai/api/v1/download?slug=google-search&version=0.1.0" -o /tmp/google-search.zip
unzip -o /tmp/google-search.zip -d ~/.codex/skills/google-search

ClawHub CLI, then copy

clawhub install fetcher-sh/google-search
mkdir -p ~/.codex/skills/google-search
cp -R ./skills/google-search/. ~/.codex/skills/google-search/

# 源：./skills/google-search/SKILL.md
# 目标：~/.codex/skills/google-search/SKILL.md

OpenClaw — ClawHub CLI

# OpenClaw / ClawHub CLI（推荐）
# 在项目根或 OpenClaw 工作区目录执行
clawhub install fetcher-sh/google-search

# 安装后 SKILL.md 位于：
#   ./skills/google-search/SKILL.md
# （若已配置 OpenClaw 工作区，则在 <workspace>/skills/google-search/）

# 仅查看不安装
clawhub inspect fetcher-sh/google-search

Troubleshooting & Common ErrorsFAQ

Common connection errors and verified fixes for google-search

Getting 'connection closed' or exit code 1 in Cursor / Claude Code for google-search?

Usually caused by missing runtime paths or IDE environment inheritance. Fix steps: 1. Verify Node.js 18+ (npx) or Python 3.10+ (uvx) is installed; 2. Run 'which npx' or 'which uvx' in terminal, and replace 'command' with absolute path; 3. Reload or restart the client window after modifying config.

Fix Snippet
# Check binary path in terminal:
which npx
node -v
Getting 'spawn npx ENOENT' or 'command not found'?

The editor background process does not inherit your full terminal PATH. Solution: Globally install the package, or set the absolute binary path (e.g. C:\Program Files\nodejs\npx.cmd on Windows, or /usr/local/bin/npx on macOS).

Tool calls timing out or failing to download packages?

First-time package downloading might be slow or timeout due to network limits. Configure a reliable mirror or check outbound proxy settings.

Agent does not match or apply google-search during conversations?

Verify SKILL.md is located at .cursor/skills/google-search/SKILL.md (Cursor) or ~/.claude/skills/google-search/SKILL.md (Claude Code). You can explicitly mention the skill name in your prompt to boost match confidence.

Still not connecting? Read the MCP troubleshooting guide →

Tool Mock Playground

Sandbox

google-search Rule Injection & Agent Behavior Simulation · Preview tool schema & outputs without local runtime

Sandbox Ready
fn: agent_skill_runtimeInject system prompt guidelines & workflow constraints from google-search
Request ArgumentsJSON Schema
{
  "skill": "google-search",
  "rulePath": ".cursor/skills/google-search/SKILL.md",
  "userGoal": "请使用 google-search 的方法与标准帮我完成当前任务",
  "client": "Cursor / Claude Code"
}
💡Parameters generated dynamically by Agent runtime
Agent Tool Output

Click 'Run Mock' above

to preview the raw response returned to the LLM

Env: AgentHub Virtual SandboxJSON-RPC 2.0

Decision Guide: Why & When to Use

Assess suitability before installing to save trial-and-error time

Best Suited For
  • Doc/news harvesting
  • Competitor page monitoring
  • RAG corpora
When NOT to Use
  • Authenticated sensitive scraping
  • Violating robots.txt or site ToS
Recommended Workflow Pairing:View Scenario →

Firecrawl / Fetch MCP + vector store → ingest and retrieve

Skill hands-on: install to visible results

Follow the full lab (expected UI/output + contrast checks). After installing this item, verify with the tutorial prompts.

Open tutorial →

An Agent Skill is a folder with SKILL.md instructions. After install, the AI loads it automatically when your task matches its description.

How to use

After installing, describe your task in chat (or mention the skill name). The agent reads the skill description to decide when to activate it, then follows the instructions in SKILL.md. Check loaded skills via /skills in Claude Code or in your client settings.

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source
View on ClawHub

微信小程序开发 · WeChat Mini Program Development

v1.28.65

SkillClawHub5k

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WeChat Mini Program development skill for building, debugging, previewing, testing, publishing, and optimizing mini program projects (小程序开发、调试、预览、发布). Covers project structure and config (`project.config.json`, `appid`, `miniprogramRoot`, `tabBar`, routing/navigation, icon assets), WeChat Developer Tools Nightly workflows (`wechatide` CLI, WeChat IDE Skills/MCP), `miniprogram-ci` preview/upload, console/network debugging, message push (消息推送) and customer-service auto-reply (客服消息), mini program SEO / search indexing (小程序搜索优化、页面收录、搜索推广、mpcrawler), and CloudBase integration (`wx.cloud`, 腾讯云开发, 云开发) when explicitly used. Use when users create, develop, modify, debug, preview, deploy, publish, or promote WeChat Mini Programs. NOT for Web frontend (use web-development), pure backend services (use cloudrun-development / cloud-functions), or UI-design-only tasks (use ui-design).

source
View on ClawHub

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PreviewListed on AgentHub: google-search
HTML
<a href="https://myagenthub.cn/p/io.clawhub.fetcher-sh/google-search" title="Listed on AgentHub: google-search" target="_blank" rel="noopener">
  <img src="https://myagenthub.cn/badge/io.clawhub.fetcher-sh/google-search?lang=en" alt="Listed on AgentHub: google-search" height="20" style="border:0"/>
</a>
Markdown (GitHub README)
[![Listed on AgentHub: google-search](https://myagenthub.cn/badge/io.clawhub.fetcher-sh/google-search?lang=en)](https://myagenthub.cn/p/io.clawhub.fetcher-sh/google-search)

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Unified Manifest

{
  "id": "io.clawhub.fetcher-sh/google-search",
  "type": "skill",
  "version": "0.1.0",
  "displayName": "google-search",
  "description": "A Google Search API alternative and SERP API alternative on fetcher.sh — pay-per-call in USDC via x402, or prepaid credits with a Bearer key, no API key application. Use when the user wants programmatic Google search results as clean JSON, including Google's own operators — site:, filetype:, intitle:, and quoted exact phrases — plus pagination, language (hl), and country/region scoping. Also covers rank tracking input, competitive research, and search-result monitoring without Google's own Custom Search API quota and billing.",
  "author": {
    "name": "fetcher-sh",
    "url": "https://clawhub.ai/fetcher-sh"
  },
  "homepage": "https://clawhub.ai/fetcher-sh/google-search",
  "distribution": {
    "packages": [
      {
        "registryType": "source",
        "identifier": "fetcher-sh/google-search",
        "version": "0.1.0",
        "runtimeHint": "clawhub install"
      }
    ],
    "remotes": []
  },
  "dependencies": [],
  "installTargets": [
    "openclaw",
    "claude-code",
    "claude-desktop",
    "cursor",
    "codex",
    "vscode"
  ],
  "keywords": [
    "downloads:4576",
    "stars:0",
    "installs:0",
    "google",
    "search",
    "research"
  ],
  "provenance": {
    "origin": "clawhub",
    "originalId": "fetcher-sh/google-search",
    "originalUrl": "https://clawhub.ai/fetcher-sh/google-search",
    "isOfficial": false,
    "status": "active"
  }
}