A versatile search utility that enables AI agents to retrieve real-time web data, news articles, images, and videos via DuckDuckGo.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install web-searchod
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install web-searchod using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Web Search?
The web-search skill is a robust tool designed to provide AI agents with immediate access to live internet data. By utilizing the DuckDuckGo API, it allows users to perform comprehensive research, fact-checking, and media gathering without the complexities of API keys or authentication. This skill is a core part of the Openclaw Skills library, offering a streamlined way to inject current information into agent workflows.
It supports multiple search types and provides results in human-readable or machine-parseable formats. Whether you need to monitor the latest news or build a structured knowledge base, this skill ensures your AI has the most relevant data at its fingertips.
Web Search Use Cases
- Monitoring current events and breaking news across various regions.
- Fact-checking claims by retrieving the latest information from web sources.
- Finding specific visual assets like transparent PNGs or high-resolution wallpapers.
- Gathering tutorial videos and documentation for technical research projects.
- Automating the collection of market research data into JSON or Markdown files.
How Web Search Works
- The AI agent or user triggers the search script with a specific query and optional flags.
- The skill configures the search parameters, including the content type (web, news, images, or videos) and filters like time range.
- A request is sent to DuckDuckGo to fetch the top-ranked results based on the query specificity.
- The raw data is parsed and transformed into the chosen output format such as Markdown for reports or JSON for code processing.
- The output is delivered to the console or saved to a local file system for persistent storage.
Web Search Setup
Before using this skill, ensure that OpenClawCLI is installed. Then, install the necessary Python dependency for DuckDuckGo integration:
pip install duckduckgo-search
You can verify the installation by running a simple search command:
python scripts/search.py "Openclaw Skills" --max-results 5
Web Search Data Schema & Taxonomy
The web-search skill organizes data into structured schemas based on the search type. Results can be exported using the following formats:
| Feature | Description |
|---|---|
| Web/News Schema | Includes Title, URL (href), and a body snippet or summary. |
| Image Schema | Includes Title, Image URL, Thumbnail URL, Source, and Dimensions. |
| Video Schema | Includes Title, Publisher, Duration, Date, and Video URL. |
| Formats | Supports plain text, GitHub-flavored Markdown, and structured JSON. |
Web Search Advanced Features
- Time-range filtering to isolate results from the past day, week, month, or year.
- Regional targeting to get localized search results for specific countries.
- Granular image filters for size, color, layout, and specific image types like GIFs.
- Video resolution and duration filters to find the exact media needed for a project.
- Safe search controls to ensure content appropriateness for different environments.
- Direct file output integration for building automated data pipelines with other Openclaw Skills.
SKILL.md
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