Intelligent search for agents. Multi-source retrieval across web, scholar, Tavily, and Perplexity Sonar models.
Data sourced from ClawHub. View on ClawSkills
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install openclaw-aisa-searchOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install openclaw-aisa-searchβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/openclaw-aisa-search/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What Verified Research Engine (Web + Academic + Confidence Score) can do for your AI workflow
Intelligent search for agents directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Verified Research Engine (Web + Academic + Confidence Score)
Help me get started with Verified Research Engine (Web + Academic + Confidence Score)
Explains what Verified Research Engine (Web + Academic + Confidence Score) does, walks through the setup, and runs a quick demo based on your current project
Use Verified Research Engine (Web + Academic + Confidence Score) to intelligent search for agents
Invokes Verified Research Engine (Web + Academic + Confidence Score) with the right parameters and returns the result directly in the conversation
What can I do with Verified Research Engine (Web + Academic + Confidence Score) in my data & analytics workflow?
Guides & tutorials for AI skills
Verified Research Engine (Web + Academic + Confidence Score) extends your AI assistant with the ability to intelligent search for agents. Multi-source retrieval across web, scholar, Tavily, and Perplexity Sonar models. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Verified Research Engine (Web + Academic + Confidence Score) as its underlying capability.
Verified Research Engine (Web + Academic + Confidence Score) works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Verified Research Engine (Web + Academic + Confidence Score) once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Verified Research Engine (Web + Academic + Confidence Score) installs like any other MCP skill: drop the folder into `~/.claude/skills/openclaw-aisa-search/` for global access, or `.claude/skills/openclaw-aisa-search/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/openclaw-aisa-search`, or let the AI decide when it's the right tool for your request.
Verified Research Engine (Web + Academic + Confidence Score) has 801 installs and is part of the growing Data & Analytics skill ecosystem on DiscoverAISkills. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/openclaw-aisa-search/ for personal use (all projects), or .claude/skills/openclaw-aisa-search/ for project-specific use. Restart your AI client, then invoke with /openclaw-aisa-search or let the AI discover it automatically.
Verified Research Engine (Web + Academic + Confidence Score) supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Verified Research Engine (Web + Academic + Confidence Score) is free to install. Check the repository for licensing information.
Intelligent search for agents. Multi-source retrieval across web, scholar, Tavily, and Perplexity Sonar models.
Links
Lists the top use cases for Verified Research Engine (Web + Academic + Confidence Score), with example commands for each scenario
Automate my data & analytics tasks using Verified Research Engine (Web + Academic + Confidence Score)
Identifies repetitive steps in your workflow and sets up Verified Research Engine (Web + Academic + Confidence Score) to handle them automatically
MCP vs traditional plugins: what's the difference?
Verified Research Engine (Web + Academic + Confidence Score) is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.