A powerful multi-engine search aggregator for AI agents to cross-reference and verify information across 25+ global and regional engines.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install multi-engine-web-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 multi-engine-web-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-Engine Web Search?
Multi-Engine Web Search is a robust component designed to give AI agents access to a massive variety of search indices from a single interface. By leveraging this Openclaw Skills addition, developers can ensure their agents don't rely on a single source of truth, instead aggregating data from mainstream engines like Google and Bing, privacy-focused options like DuckDuckGo and Brave, and technical powerhouses like WolframAlpha and GitHub.
This skill is built for high-integrity research, allowing agents to perform cross-checks, bypass regional biases, and utilize advanced search operators across multiple platforms simultaneously. It transforms the way agents interact with the web by moving from simple link-fetching to sophisticated, multi-perspective information gathering.
Multi-Engine Web Search Use Cases
- Verifying claims by cross-referencing results across three or more independent search indices.
- Conducting deep technical research using specialized developer engines like Stack Overflow and GitHub.
- Bypassing regional search bubbles by querying local engines like Baidu, Yandex, or Naver.
- Finding high-quality academic or scientific data using Semantic Scholar and PubMed.
- Monitoring real-time news and breaking updates with granular time-filter operators.
How Multi-Engine Web Search Works
- The skill first reads the local memory profile to determine user-defined activation modes and engine priorities.
- When a search is triggered, the agent selects a batch of engines, typically combining a global leader, a privacy engine, and a specialized index.
- It maps the query to specific engine shortcuts like !g for Google or !wa for WolframAlpha for rapid execution.
- Advanced operators (site:, filetype:, intitle:) are applied to refine the precision of the retrieval.
- The skill executes a contradiction query to proactively look for conflicting information or corrections.
- Finally, it aggregates the evidence, filters for the most recent and authoritative sources, and returns a concise summary with confidence metrics.
Multi-Engine Web Search Setup
To integrate this search capability into your environment, follow these steps:
# Install the skill using the hub
clawhub install multi-engine-web-search
# Review the setup guide to define your preferred engine order
# This will initialize your local preference profile
On first use, you must define your activation behavior (always, on-request, or mixed) which is stored in your Openclaw Skills configuration directory at ~/multi-engine-web-search/memory.md.
Multi-Engine Web Search Data Schema & Taxonomy
The skill maintains a structured configuration to manage search behavior without storing unnecessary personal data. The organization is as follows:
| File | Purpose |
|---|---|
memory.md |
Primary configuration storing engine priority, blocked sites, and output styles. |
setup.md |
Contains the flow for initial activation and policy definitions. |
memory-template.md |
The baseline schema used to generate new user preferences. |
All configurations are stored locally in the ~/multi-engine-web-search/ directory.
Multi-Engine Web Search Advanced Features
- Support for over 25 search engines including Global, Regional, and Knowledge-based platforms.
- Comprehensive shortcut matrix for quick engine-specific queries (e.g., !ghk, !eco, !ydx).
- Integrated contradiction query logic to prevent AI hallucination and bias.
- Advanced operator support for precision filtering (site:, filetype:, before/after dates).
- Automated recency-focused querying using Google's tbs parameters for breaking news.
- Seamless compatibility with other Openclaw Skills like the 'analysis' and 'web' tools for deep-dive investigations.
SKILL.md
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