Tencent SkillHub · Developer Tools

Google Web Search

Enables grounded question answering by automatically executing the Google Search tool within Gemini models. Use when the required information is recent (post knowledge cutoff) or requires verifiable citation.

skill openclawclawhub Free

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High Signal

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Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: README.md, SKILL.md, assets/example_asset.txt, pyproject.toml, references/api_reference.md, requirements.txt

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I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

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Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.3

Provenance

Publisher: theoseo
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 5 sections Open source page

Overview

This skill provides the capability to perform real-time web searches via the Gemini API's google_search grounding tool. It is designed to fetch the most current information available on the web to provide grounded, citable answers to user queries. Key Features: Real-time web search via Gemini API Grounded responses with verifiable citations Configurable model selection Simple Python API

Usage

This skill exposes the Gemini API's google_search tool. It should be used when the user asks for real-time information, recent events, or requests verifiable citations.

Execution Context

The core logic is in scripts/example.py. This script requires the following environment variables: GEMINI_API_KEY (required): Your Gemini API key GEMINI_MODEL (optional): Model to use (default: gemini-2.5-flash-lite) Supported Models: gemini-2.5-flash-lite (default) - Fast and cost-effective gemini-3-flash-preview - Latest flash model gemini-3-pro-preview - More capable, slower gemini-2.5-flash-lite-preview-09-2025 - Specific version

Python Tool Implementation Pattern

When integrating this skill into a larger workflow, the helper script should be executed in an environment where the google-genai library is available and the GEMINI_API_KEY is exposed. Example Python invocation structure: from skills.google-web-search.scripts.example import get_grounded_response # Basic usage (uses default model): prompt = "What is the latest market trend?" response_text = get_grounded_response(prompt) print(response_text) # Using a specific model: response_text = get_grounded_response(prompt, model="gemini-3-pro-preview") print(response_text) # Or set via environment variable: import os os.environ["GEMINI_MODEL"] = "gemini-3-flash-preview" response_text = get_grounded_response(prompt) print(response_text)

Troubleshooting

If the script fails: Missing API Key: Ensure GEMINI_API_KEY is set in the execution environment. Library Missing: Verify that the google-genai library is installed (pip install google-generativeai). API Limits: Check the API usage limits on the Google AI Studio dashboard. Invalid Model: If you set GEMINI_MODEL, ensure it's a valid Gemini model name. Model Not Supporting Grounding: Some models may not support the google_search tool. Use flash or pro variants.

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

3 Docs2 Files1 Assets

SKILL.md Primary doc
README.md Docs
references/api_reference.md Docs
assets/example_asset.txt Assets
pyproject.toml Files
requirements.txt Files