A BrowserAct-powered assistant that bypasses web restrictions to provide AI agents with real-time, high-accuracy research data.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install web-research-assistant
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-research-assistant 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 Research Assistant?
The Web Research Assistant is a specialized skill designed to solve the problem of restricted web access for AI agents. By integrating the BrowserAct API, it allows agents like Claude Code and OpenClaw to bypass geographic blocks, IP restrictions, and paywalls that often hinder standard web browsing. This skill ensures your AI has access to the most current information beyond its training data, providing a robust layer of supplemental intelligence.
Focusing on reliability and speed, this tool is one of the most essential Openclaw Skills for developers who need accurate data extraction without the overhead of heavy browser automation or the risk of AI hallucinations. It transforms raw search results into structured research reports, making it an indispensable asset for market analysis, technical documentation, and competitive intelligence tasks.
Web Research Assistant Use Cases
- Bypassing target website blocks or AI assistant access restrictions.
- Overcoming geographic limitations and IP-based content fencing.
- Extracting data from behind paywalls or complex web structures.
- Aggregating information from multiple sources for comprehensive research reports.
- Supplementing cached AI knowledge with real-time, validated internet data.
How Web Research Assistant Works
- The skill receives a research query and configuration parameters like search engine and time range.
- It triggers the BrowserAct API to perform a global search, bypassing standard bot detection and geoblocks.
- Search results are aggregated from major sources including Google, Bing, and DuckDuckGo.
- The system validates and cross-references data points to ensure accuracy and minimize AI hallucinations.
- A final structured report is generated, complete with citations, relevance scores, and key facts.
Web Research Assistant Setup
To begin using this skill with your Openclaw Skills setup, follow these steps:
- Obtain your API Key from the BrowserAct Console.
- Set the environment variable in your terminal:
export BROWSERACT_API_KEY='your_api_key_here'
- Copy the skill files to your local agent directory (e.g.,
~/.openclaw/skills/). - Run a test research query to verify installation:
python web-research-assistant/scripts/research.py "AI technology trends"
Web Research Assistant Data Schema & Taxonomy
The skill produces structured data to maintain high quality within Openclaw Skills environments:
| Field | Description |
|---|---|
titles |
The headline of the discovered resource |
urls |
Direct links to the source information |
snippets |
Relevant text excerpts for quick context |
relevance_score |
AI-calculated score of how well the result fits the query |
citations |
Formatted references for the final report |
facts |
Key statistics and verified data points extracted from the text |
Web Research Assistant Advanced Features
- Auto-Recovery: Automatically switches search engines if a primary request fails or is blocked.
- Content Filtering: Specialized filters to narrow results to news, articles, or raw data strings.
- Global Proxying: Uses BrowserAct's global network to bypass regional content restrictions.
- Multi-Agent Compatibility: Optimized for seamless performance across OpenClaw, Claude Code, and Cursor.
- Custom Time-Boxing: Precision filtering of research results by day, week, month, or year for time-sensitive tasks.
SKILL.md
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