Stock and ETF valuation monitoring tool to assess valuation ranges (opportunities/risks) based on PE, PB BAND and historical percentiles
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install stock-valuation-monitorOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install stock-valuation-monitorβ 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/stock-valuation-monitor/π‘Extract and place the folder at the path above, then restart your agent.
Category
πFinance & InvestmentPlatforms
What stock-valuation-monitor can do for your AI workflow
Stock and etf valuation directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,676+ developers worldwide
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 stock-valuation-monitor
Help me get started with stock-valuation-monitor
Explains what stock-valuation-monitor does, walks through the setup, and runs a quick demo based on your current project
Use stock-valuation-monitor to stock and ETF valuation monitoring tool to assess valuation ranges ...
Invokes stock-valuation-monitor with the right parameters and returns the result directly in the conversation
What can I do with stock-valuation-monitor in my finance & investment workflow?
Lists the top use cases for stock-valuation-monitor, with example commands for each scenario
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stock-valuation-monitor extends your AI assistant with the ability to stock and ETF valuation monitoring tool to assess valuation ranges (opportunities/risks) based on PE, PB BAND and historical percentiles. 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 stock-valuation-monitor as its underlying capability.
stock-valuation-monitor 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 stock-valuation-monitor 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.
stock-valuation-monitor installs like any other MCP skill: drop the folder into `~/.claude/skills/stock-valuation-monitor/` for global access, or `.claude/skills/stock-valuation-monitor/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/stock-valuation-monitor`, or let the AI decide when it's the right tool for your request.
stock-valuation-monitor has been installed 1,676 times, making it one of the more actively used skills in the Finance & Investment category. The install rate suggests it solves a real, recurring need rather than a niche edge case. 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/stock-valuation-monitor/ for personal use (all projects), or .claude/skills/stock-valuation-monitor/ for project-specific use. Restart your AI client, then invoke with /stock-valuation-monitor or let the AI discover it automatically.
stock-valuation-monitor supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
stock-valuation-monitor is free to install. Check the repository for licensing information.
Stock and ETF valuation monitoring tool to assess valuation ranges (opportunities/risks) based on PE, PB BAND and historical percentiles
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