A powerful search aggregation tool that unifies 17 global search engines for comprehensive information retrieval without requiring API keys.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dandan-multi-search
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 dandan-multi-search 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 Multi-Search Engine Aggregator?
The Multi-Search Engine skill is a versatile meta-search tool designed for AI agents to perform deep, cross-platform information retrieval. It bridges the gap between domestic Chinese sources and international search platforms by integrating 17 different engines, including Baidu, Google, DuckDuckGo, and WolframAlpha. By leveraging Openclaw Skills, developers can empower their agents to perform exhaustive research, privacy-focused queries, and specialized academic or technical searches across macOS, Linux, and Windows environments without the overhead of individual API management.
Multi-Search Engine Aggregator Use Cases
- Cross-platform information gathering spanning both Chinese domestic and international web ecosystems.
- Privacy-conscious searching using DuckDuckGo and Startpage to avoid tracking.
- Technical and code-related research via GitHub and specialized academic searches through Google Scholar or PubMed.
- Computational knowledge retrieval for complex math, science, and data queries via WolframAlpha.
- Real-time social media and community monitoring across platforms like Weibo, Zhihu, and Bilibili.
How Multi-Search Engine Aggregator Works
- The agent identifies the user's search intent, determining if the query requires a single engine or a multi-engine aggregated view.
- The skill selects the most appropriate engine group (Domestic, International, Academic, or Computational) based on the query context.
- It executes search commands using native system tools such as curl for macOS/Linux or PowerShell for Windows systems.
- The skill parses the raw HTML or text responses to extract the top relevant links and snippets using regex or string splitting.
- It aggregates findings from multiple sources into a structured report, providing a holistic view of the topic with coverage status and original links.
Multi-Search Engine Aggregator Setup
To use this tool within Openclaw Skills, ensure your environment supports curl (Unix) or PowerShell (Windows). No external API keys are required as it uses direct URL queries.
# Example: Single engine search via CLI (macOS/Linux)
open "https://www.google.com/search?q=your_keyword"
# Example: Aggregated search using curl and grep
curl -s "https://www.google.com/search?q=your_keyword" | grep -oP 'https?://[^"<>]+' | head -10
# Example: Aggregated search on Windows
(Invoke-WebRequest -Uri "https://www.google.com/search?q=keyword" -UseBasicParsing).Content -split "`n" | Select-String "href" | Select-Object -First 10
Multi-Search Engine Aggregator Data Schema & Taxonomy
The skill organizes results into a clear markdown hierarchy designed for easy AI consumption and user readability:
| Component | Description |
|---|---|
| Engine Coverage | Visual checklist of which engines (Domestic/International) were successfully queried. |
| Primary Findings | A numbered list of top-tier results containing source titles, URLs, and summaries. |
| Depth Sources | Secondary links provided for deeper research and cross-referencing. |
| WolframAlpha Data | Specific section for computational results, formulas, or scientific data points. |
| Original Links | Direct navigational links to the original search engine result pages. |
Multi-Search Engine Aggregator Advanced Features
- Full support for advanced search operators including exact match (""), OR logic, and site-specific (site:) constraints.
- Built-in time filtering parameters to restrict results to the last 24 hours, week, month, or year.
- Cross-platform compatibility logic that automatically switches between shell scripts and PowerShell depending on the OS.
- Specialized academic and medical search modes using Google Scholar and PubMed integration.
- Privacy-first browsing options that default to DuckDuckGo or Startpage when anonymity is requested.
SKILL.md
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