Live LLM model intelligence and pricing from OpenRouter
Data sourced from ClawHub. View on ClawSkills
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install agxntsix-model-intelOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install agxntsix-model-intelβ 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/agxntsix-model-intel/π‘Extract and place the folder at the path above, then restart your agent.
Category
π οΈGeneral ToolsPlatforms
What Model Intel can do for your AI workflow
Live llm model intelligence 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 Model Intel
Help me get started with Model Intel
Explains what Model Intel does, walks through the setup, and runs a quick demo based on your current project
Use Model Intel to live LLM model intelligence and pricing from OpenRouter
Invokes Model Intel with the right parameters and returns the result directly in the conversation
What can I do with Model Intel in my general tools workflow?
Lists the top use cases for Model Intel, with example commands for each scenario
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Model Intel extends your AI assistant with the ability to live LLM model intelligence and pricing from OpenRouter. 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 Model Intel as its underlying capability.
Model Intel 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 Model Intel 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.
Model Intel installs like any other MCP skill: drop the folder into `~/.claude/skills/agxntsix-model-intel/` for global access, or `.claude/skills/agxntsix-model-intel/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/agxntsix-model-intel`, or let the AI decide when it's the right tool for your request.
Model Intel has 612 installs and is part of the growing General Tools 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/agxntsix-model-intel/ for personal use (all projects), or .claude/skills/agxntsix-model-intel/ for project-specific use. Restart your AI client, then invoke with /agxntsix-model-intel or let the AI discover it automatically.
Model Intel supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Model Intel is free to install. Check the repository for licensing information.
Live LLM model intelligence and pricing from OpenRouter
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Intelligent Stocks Screener
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Automate my general tools tasks using Model Intel
Identifies repetitive steps in your workflow and sets up Model Intel to handle them automatically
Model Intel is categorized under General Tools. These skills help AI agents perform specialized tasks in this domain.
Based on the Oriental Wealth Database, it supports the screening of A-Hong Kong and US stocks, funds, bonds and other assets through natural language input. It supports the screening of multiple indicators, including technical aspects, news, fundamentals and market sentiments, etc. It can be used for global asset quick screening, cross-market monitoring, investment portfolio construction, strategy backtesting and other scenarios. The returned results include data description and csv file. Natural language screener for investment...