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Google Search

作者 shaharsh · GitHub ↗ · v2.1.0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install google-search-grounding
功能描述
Google web search via Gemini Search Grounding (primary) and Custom Search JSON API (fallback). Use for: (1) Synthesized answers with citations (grounded sear...
使用说明 (SKILL.md)

Google Search 🔍

Google web search powered by Gemini 2.5 Flash with Search Grounding + Custom Search API.

⭐ This is the PRIMARY web search tool. Prefer over built-in web_search (Perplexity).

Requirements

  • GOOGLE_API_KEY environment variable
  • Enable in Google Cloud Console: Gemini API, Custom Search JSON API

Configuration

Env Variable Default Description
GOOGLE_API_KEY Required. Google API key
GOOGLE_CSE_CX Custom Search Engine ID (required for raw/image modes)
GOOGLE_SEARCH_LANG he Default language code (he, en, ar, ja, etc.)
GOOGLE_SEARCH_COUNTRY IL Default country code (IL, US, DE, etc.)

Set in OpenClaw config:

{
  "env": {
    "GOOGLE_API_KEY": "AIza...",
    "GOOGLE_SEARCH_LANG": "he",
    "GOOGLE_SEARCH_COUNTRY": "IL"
  }
}

Script Location

python3 skills/google-search/lib/google_search.py \x3Cmode> "query" [options]

Output Modes

  • Text mode (default): Best for most use cases. Clean readable output with answer, sources, and search queries.
  • JSON mode (--json): For programmatic processing. Includes confidence scores, grounding supports, and search queries.

Modes

search — Grounded Search (Default, Recommended)

Gemini 2.0 Flash + Google Search tool → synthesized answer with numbered citations.

python3 lib/google_search.py search "query" [--lang he] [--country IL] [--json]

When to use: Questions, current events, "what is X", Hebrew queries, anything needing a direct answer.

Examples:

# Hebrew (default)
python3 lib/google_search.py search "מזג אוויר תל אביב"

# English override
python3 lib/google_search.py search "latest AI news" --lang en --country US

# JSON output
python3 lib/google_search.py search "OpenAI GPT-5 release date" --json

Output format:

\x3CSynthesized answer text>

Sources:
  1. Source Title
     https://example.com/article
  2. Another Source
     https://example.com/other

raw — Raw Search Results

Custom Search JSON API → links with titles and snippets.

python3 lib/google_search.py raw "query" [-n 5] [--lang he] [--country IL] [--json]

When to use: Need actual URLs, research, building reference lists, when you want links not answers.

Examples:

python3 lib/google_search.py raw "python asyncio tutorial" -n 5
python3 lib/google_search.py raw "best restaurants tel aviv" --json
python3 lib/google_search.py raw "rust vs go performance" -n 3 --lang en

Output format:

1. Page Title
   https://example.com/page
   Brief snippet from the page...

2. Another Page
   https://example.com/other
   Another snippet...

image — Image Search

Custom Search image search → image URLs with titles.

python3 lib/google_search.py image "query" [-n 5] [--lang he] [--country IL] [--json]

When to use: Finding images, visual references, thumbnails.

Examples:

python3 lib/google_search.py image "aurora borealis" -n 5
python3 lib/google_search.py image "תל אביב חוף" --json

Options Reference

Option Applies To Description Default
--lang CODE all Language code (he, en, ar, ja…) env GOOGLE_SEARCH_LANG (he)
--country CODE all Country code (IL, US, DE…) env GOOGLE_SEARCH_COUNTRY (IL)
-n NUM raw, image Number of results (1–10) 10
--json all Structured JSON output off

Language resolution order: --lang flag → GOOGLE_SEARCH_LANG env → None (auto) Country resolution order: --country flag → GOOGLE_SEARCH_COUNTRY env → None (auto)


Error Handling

  • Missing API key: Clear error message with setup instructions.
  • 429 Rate Limit: Automatic retry once after 5-second wait.
  • Network errors: Descriptive error with cause.
  • No results: Clean "No results found." message.
  • Timeout: 30-second timeout on all HTTP requests.

Quota & Rate Limits

API Free Tier Rate Limit
Gemini API (grounded search) Generous free tier ~15 RPM (free), higher on paid
Custom Search JSON API (raw/image) 100 queries/day 10K queries/day (paid)

On 429 errors: Script retries once automatically. If quota exhausted, fall back to built-in web_search (Perplexity).


Multilingual Support

Works with queries in any language. Hebrew is the default:

# Hebrew (default, no flags needed)
python3 lib/google_search.py search "חדשות טכנולוגיה"

# English
python3 lib/google_search.py search "technology news" --lang en

# Arabic
python3 lib/google_search.py search "أخبار التكنولوجيا" --lang ar

Install

bash skills/google-search/install.sh
安全使用建议
This skill appears coherent and implements Google Gemini grounding plus Custom Search as described. Before installing: (1) ensure you supply a Google API key with only the necessary APIs enabled (Gemini + Custom Search) and restrict its allowed IPs/referrers and billing limits where possible; (2) be aware pip will install the google-genai package from PyPI — verify the package/version you install and consider installing in a virtualenv or isolated environment; (3) the installer runs a smoke test that executes the skill script (which will make network calls), so run install in a controlled environment if you are cautious; (4) if you will use raw/image modes, supply your own GOOGLE_CSE_CX (the skill will not embed any CSE IDs); (5) monitor quota and billing for API usage. If you want higher assurance, review the full python file (included) or pin the google-genai version before installing.
功能分析
Type: OpenClaw Skill Name: google-search-grounding Version: 2.1.0 The OpenClaw AgentSkills bundle for Google Search is benign. All files (SKILL.md, install.sh, lib/google_search.py) align with the stated purpose of providing Google search functionality. The SKILL.md correctly declares `allowed-tools: [exec]` as it runs a Python script, but contains no prompt injection attempts. The `install.sh` script performs standard Python package installation via `pip`. The `lib/google_search.py` script uses `argparse` for safe command-line argument parsing and `urllib.parse.urlencode` to prevent URL injection when interacting with Google APIs. It accesses environment variables for API keys as expected and does not exhibit any malicious behaviors such as data exfiltration to unauthorized endpoints, backdoor installation, or arbitrary command execution with unsanitized input.
能力评估
Purpose & Capability
Name/description, required env vars (GOOGLE_API_KEY and optional GOOGLE_CSE_CX), and the declared dependency (google-genai) align with a skill that performs Gemini-grounded search and falls back to Custom Search. No unrelated credentials or tools are requested.
Instruction Scope
SKILL.md and the Python code instruct the agent to call Gemini via google-genai and the Google Custom Search API. Runtime actions are limited to network calls to Google APIs and local formatting; there are no instructions to read unrelated files, harvest other environment variables, or send data to non-Google endpoints.
Install Mechanism
Installer is a simple install.sh that runs pip install google-genai and a smoke test. This is a moderate-risk but expected install method (PyPI package). The script uses --break-system-packages as a first attempt (falls back), which can affect system-managed Python on some systems — a minor operational concern. There are no downloads from personal servers or URL shorteners, and no archives extracted from arbitrary hosts. Note: registry summary indicated 'no install spec' but the package includes an install.sh and an install hint in SKILL.md metadata — minor metadata inconsistency.
Credentials
Only GOOGLE_API_KEY is required as the primary credential; GOOGLE_CSE_CX and locale vars are optional and justified by raw/image modes. No unrelated secrets are requested.
Persistence & Privilege
The skill does not request always:true, does not modify other skills, and does not persist elevated system-wide privileges. It runs on-demand and via normal autonomous invocation behavior.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install google-search-grounding
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /google-search-grounding 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v2.1.0
Fix metadata: declare GOOGLE_CSE_CX as secondaryEnv, add notes clarifying no hardcoded CSE IDs. Remove misleading default CSE ID from code comment.
v3.0.0
Major upgrade: new Gemini-grounded web search with multilingual support, error handling, and flexible output modes. - Adds Gemini 2.5 Flash with Search Grounding for synthesized answers with citations - Supports three modes: grounded search (answers), raw search (links/snippets), and image search - Improved Hebrew and multilingual support; language/country configurable via env or CLI - Enhanced error handling with clear messages and automatic retry on rate limit - Offers text and JSON output for easy integration - Falls back to built-in search if Google APIs unavailable or quota exhausted
元数据
Slug google-search-grounding
版本 2.1.0
许可证
累计安装 2
当前安装数 2
历史版本数 2
常见问题

Google Search 是什么?

Google web search via Gemini Search Grounding (primary) and Custom Search JSON API (fallback). Use for: (1) Synthesized answers with citations (grounded sear... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1749 次。

如何安装 Google Search?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install google-search-grounding」即可一键安装,无需额外配置。

Google Search 是免费的吗?

是的,Google Search 完全免费(开源免费),可自由下载、安装和使用。

Google Search 支持哪些平台?

Google Search 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Google Search?

由 shaharsh(@shaharsha)开发并维护,当前版本 v2.1.0。

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