A sophisticated research skill designed to perform deep-dive data extraction, multi-perspective searches, and automated fact-checking.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install web-researcher
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-researcher 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 Researcher?
The Web Researcher is a specialized capability designed to expand the knowledge boundaries of AI agents. By integrating this into your suite of Openclaw Skills, your agent moves beyond static training data to access real-time technical news, documentation, and live web content. It prioritizes depth over surface-level snippets, ensuring that information is gathered from full-text sources to provide high-fidelity answers.
This skill is particularly effective for developers and technical researchers who require precise details on software updates, bug reports, or emerging industry trends. As a core part of the Openclaw Skills ecosystem, it enforces a rigorous research protocol that includes source synthesis and citation, making it a reliable choice for professional environments where accuracy is non-negotiable.
Web Researcher Use Cases
- Investigating the latest features or breaking changes in specific software versions.
- Fact-checking technical claims by cross-referencing multiple authoritative web sources.
- Generating comprehensive research briefs on complex topics with summarized timelines.
- Monitoring news and critical alerts related to specific technical stacks or repositories.
How Web Researcher Works
- The agent triggers the skill when a query requires data newer than its training cutoff or specific technical verification.
- It initiates a Multi-Query Search, executing 2-3 targeted search operations to capture a wide range of relevant data points.
- The system performs a Deep Dive by using
web_fetchon the most relevant URLs to extract complete text content rather than just meta-descriptions. - All gathered information is synthesized into a structured report, highlighting key facts, chronological timelines, and any existing contradictions.
- The process concludes by appending full source citations to the report to ensure transparency within the Openclaw Skills framework.
Web Researcher Setup
To enable the Web Researcher, ensure your environment is configured for external web access and search tool integration.
# Install the skill via the Openclaw Skills manager
openclaw install web-researcher
# Configure your search provider API keys if required
export SEARCH_API_KEY="your_key_here"
Once installed, the agent will automatically recognize the research protocol for any relevant queries.
Web Researcher Data Schema & Taxonomy
The Web Researcher organizes extracted data into a structured format to maintain consistency across Openclaw Skills workflows.
| Component | Description |
|---|---|
| Jupiter Research Brief | The standardized header for every generated report. |
| Key Facts | A bulleted list of synthesized, high-confidence data points. |
| Timeline | A chronological layout of events or version history discovered. |
| Contradictions | A section dedicated to identifying conflicting information between sources. |
| Citations | A comprehensive list of URLs utilized during the deep-fetch phase. |
Web Researcher Advanced Features
- Multi-Query search logic to eliminate single-source bias during discovery.
- Deep-fetch capabilities that bypass search engine snippets for full-text analysis.
- Automated conflict detection to alert users of contradictory information found on the web.
- Jupiter Research Brief formatting for professional, ready-to-use reporting within Openclaw Skills.
SKILL.md
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