Use Case
Verified Research Engine (Web + Academic + Confidence Score) is a powerful AI agent skill that extends your assistant with new capabilities. Intelligent search for agents. Multi-source retrieval across web, scholar, Tavily, and Perplexity Sonar models. This guide walks you through installing Verified Research Engine (Web + Academic + Confidence Score), configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install Verified Research Engine (Web + Academic + Confidence Score): npx clawhub@latest --dir ~/.claude/skills install openclaw-aisa-search
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to data & analytics to trigger Verified Research Engine (Web + Academic + Confidence Score)
Review the output and refine your prompt for better results
Combine Verified Research Engine (Web + Academic + Confidence Score) with other skills to build multi-step workflows
Copy these prompts and use them 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)
What can Verified Research Engine (Web + Academic + Confidence Score) do for my data & analytics workflow?
Show me an example of using Verified Research Engine (Web + Academic + Confidence Score)
Select your agent
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.