An efficiency-first framework for AI agents to perform deep web research while minimizing token consumption and maximizing factual accuracy.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install minnow-web-research
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 minnow-web-research 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?
Web Research is a high-performance methodology designed for AI agents within the Openclaw Skills ecosystem. It prioritizes a triage-heavy approach to information gathering, ensuring that agents only consume expensive tokens when absolutely necessary. By focusing on intent-driven searching rather than aimless browsing, this skill transforms how agents interact with the live web.
The philosophy behind this skill is built on the principle of knowing exactly what you are looking for before performing a fetch. It provides a structured rubric for evaluating source credibility, identifying SEO-spam, and synthesizing complex information into actionable insights without the typical overhead of large-scale web scraping.
Web Research Use Cases
- Rapid fact-checking using search snippets to avoid full-page loading costs.
- Verifying platform health by checking API documentation, community activity, and recent commit history.
- Multi-source cross-referencing to ensure data integrity for technical or financial research.
- Efficiently locating specific data points within long-form articles using targeted search logic.
How Web Research Works
- Initial Triage: Analyze search engine snippets first to extract immediate facts without fetching full pages.
- Targeted Selection: Identify the single most authoritative URL if snippets prove insufficient for the query.
- Intent-Based Fetching: Execute a specific request for content with a predefined question to avoid reading unnecessary data.
- Credibility Verification: Apply the Platform Research Checklist to filter out unreliable scraper farms and SEO-stuffed content.
- Concise Synthesis: Compress findings into a strict three-bullet point format to deliver the answer rather than a research dump.
Web Research Setup
To integrate Web Research into your agent workflow, ensure your environment is configured for Openclaw Skills and follow these guidelines:
# Standard update for Openclaw environments
openclaw install web-research-skill
# Configure your search provider API keys
export SEARCH_API_KEY='your_key_here'
Simply include the Web Research markdown rules in your agent's system prompt to enforce token-saving behaviors.
Web Research Data Schema & Taxonomy
The skill follows a strict synthesis schema to ensure consistency across research tasks:
| Element | Description | Format |
|---|---|---|
| The Lead | One sentence defining the entity or concept. | Plain Text |
| Key Insight | The most critical fact or data point discovered. | Bold Text |
| Caveat | Limitations, risks, or remaining questions. | Plain Text |
| Sources | Minimum of two independent, verified primary sources. | Markdown Links |
Web Research Advanced Features
- Ctrl+F Logic: Advanced filtering within fetched content to locate specific strings without processing the entire DOM.
- Token Trap Avoidance: Automated checks to prevent redundant search queries and excessive page fetches.
- Red Flag Detection: Heuristics to automatically identify and skip domain-registered scraper farms or un-cited claims.
- Cross-Platform Checklist: Specialized logic for auditing GitHub activity, Discord engagement, and official documentation status.
SKILL.md
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