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Web Research Assistant

AI-powered web research assistant that leverages BrowserAct API to supplement restricted web access by searching the internet for additional information. Designed for OpenClaw and Claude Code.

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AI-powered web research assistant that leverages BrowserAct API to supplement restricted web access by searching the internet for additional information. Designed for OpenClaw and Claude Code.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, scripts/research.py

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
0.1.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 13 sections Open source page

Web Research Assistant

This skill leverages BrowserAct API to provide powerful web research capabilities. When primary web access is restricted or blocked, it automatically searches the internet to find and extract relevant information, ensuring your research tasks are completed successfully.

✨ OpenClaw & Claude Code Optimized

🚀 Works Seamlessly with OpenClaw and Claude Code PlatformStatusInstallationOpenClaw✅ Highly RecommendedCopy to ~/.openclaw/skills/Claude Code✅ Highly RecommendedNative skill supportOpenCode✅ Fully SupportedCopy to ~/.opencode/skills/Cursor✅ Fully SupportedCopy to ~/.cursor/skills/ Why This Skill? 🎯 Purpose-built for OpenClaw and Claude Code 🔄 Auto-recovery when web access is restricted 🌐 Global access - no IP or geoblocking issues 💰 Cost-effective - saves token usage ⚡ Fast execution - BrowserAct powered

🎯 When to Use

Web Access Restricted? No Problem! Use this skill when: 🔒 Target websites block AI assistant access 🌍 Geographic restrictions limit content access 🔐 Paywalls prevent data extraction ⏱️ Need quick supplemental information 📊 Research requires multiple data sources 🔍 Need current information beyond cached data

🔑 API Key Guidance

Before running, check the BROWSERACT_API_KEY environment variable. If not set, request the API key from the user: Required Message: "Please provide your BrowserAct API Key from BrowserAct Console to enable web research capabilities."

🛠️ Input Parameters

Configure research based on your needs: ParameterTypeDefaultDescriptionquerystring-Research topic or questionenginestringgoogleSearch engine (google, bing, duckduckgo)max_resultsnumber10Results to retrieve (1-50)content_typestringallContent filter (all, news, articles, data)time_rangestringpast_monthTime filter (anytime, past_day/week/month/year)

💻 Quick Start

# Basic research python web-research-assistant/scripts/research.py "AI technology trends" # Deep research with more results python web-research-assistant/scripts/research.py "competitor analysis" --max-results 20 # Current news research python web-research-assistant/scripts/research.py "market trends" --content-type news # Save to file python web-research-assistant/scripts/research.py "industry data" -o research_report.md

📊 Output

Structured Research Data: Titles, URLs, snippets, and relevance scores Key facts and statistics extraction Source citations and references Comprehensive research report

🎪 What This Skill Does

🔄 Auto-Supplement - When direct access fails, automatically searches the web 🌐 Global Search - Bypasses geographic restrictions via BrowserAct 📈 Multi-Source - Aggregates data from multiple search results ✅ Validation - Cross-references information for accuracy 📋 Report Generation - Creates comprehensive research reports

能力特性 (Features)

1.没有幻觉,确保稳定精准提取数据:预设工作流,规避AI 生成式幻觉。 2.没有人机验证问题:内置绕过机制,无需处理 reCAPTCHA 或其他验证挑战。 3.没有 IP 访问限制和电子围栏:突破地域 IP 限制,确保全球范围内稳定访问。 4.执行速度更敏捷:相比纯 AI 驱动的浏览器自动化方案,任务执行更快速。 5.极高的成本效益:相比大量消耗 Token 的 AI 方案,能显著降低数据获取成本。

🔧 BrowserAct API Integration

Research Request → BrowserAct Search → Data Extraction → Validation → Final Report Powered by BrowserAct MCP for reliable, unrestricted web access.

⚠️ Error Handling

Invalid API Key: Report to user, do not retry Search Failed: Automatic retry with fallback engine No Results: Return partial data with notification Timeout: Extended timeout for large research tasks

📖 Best Practices

Use specific queries for targeted results Apply time filters for current information Cross-reference key findings Choose appropriate content types for research goals Validate statistics with multiple sources

🔗 Related Skills

amazon-competitor-analyzer - Amazon competitive intelligence google-maps-search-api-skill - Business data extraction google-news-api-skill - News monitoring Version: 1.0.0 Updated: 2026-02-08 API: BrowserAct MCP Template ID: TEMPLATE_ID_HERE

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs1 Scripts
  • SKILL.md Primary doc
  • scripts/research.py Scripts