A professional-grade AI research skill that performs deep-dive due diligence and technical analysis on cryptocurrencies using real-time CoinMarketCap data.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install crypto-research-using-cmc-mcp
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install crypto-research-using-cmc-mcp using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Crypto Research?
The Crypto Research skill is a specialized tool designed to provide users with institutional-quality insights into any cryptocurrency project. By leveraging the CoinMarketCap MCP, it moves beyond basic price tracking to analyze the underlying fundamentals, supply dynamics, and market sentiment of a token. As a core component of the Openclaw Skills ecosystem, this skill automates the complex process of "Doing Your Own Research" (DYOR) by synthesizing data from multiple technical and social sources into a single, actionable report.
Whether you are evaluating a potential investment or monitoring a portfolio, this skill provides a standardized framework for analysis. It specifically looks for green flags, such as organic holder growth and high conviction, as well as red flags like extreme whale concentration or declining liquidity, ensuring that users have a balanced view of the risks and opportunities associated with any digital asset.
Crypto Research Use Cases
- Conducting deep due diligence on specific tokens before investing.
- Analyzing tokenomics and supply schedules to understand inflation risks.
- Monitoring whale concentration and holder behavior for signs of market manipulation.
- Evaluating technical indicators like RSI and moving averages for short-term entry or exit points.
- Investigating the legitimacy of new crypto projects by reviewing their documentation and social presence.
How Crypto Research Works
- The process begins when a user invokes a command like "research [coin]" or "tell me about [coin]" within the Openclaw Skills environment.
- The skill calls the search tool to resolve the token name or symbol to a unique CoinMarketCap ID.
- It retrieves basic project metadata, including launch dates, categories, and official documentation links.
- Real-time market metrics are gathered, covering price action, market capitalization, and trading volume across various timeframes.
- The skill performs a holder analysis to determine address distribution and identify whale concentration levels.
- Technical analysis data is fetched, including RSI, MACD, and key support/resistance levels.
- Recent news headlines are aggregated to assess the current market sentiment surrounding the project.
- All gathered data is processed through an analysis framework to identify risks and opportunities, resulting in a structured markdown report.
Crypto Research Setup
To enable this skill, you must configure the CoinMarketCap MCP server with a valid API key.
- Sign up for an API key at the CoinMarketCap Developer Portal.
- Add the configuration to your MCP settings file:
{
"mcpServers": {
"cmc-mcp": {
"url": "https://mcp.coinmarketcap.com/mcp",
"headers": {
"X-CMC-MCP-API-KEY": "your-api-key"
}
}
}
}
Crypto Research Data Schema & Taxonomy
The skill structures data into several logical blocks to provide a holistic view of the asset:
| Data Block | Included Metrics |
|---|---|
| Project Identity | Name, Symbol, Rank, Category, Launch Date |
| Market Performance | Price, 24h/7d/30d/1y Change, Market Cap, Volume |
| Supply Dynamics | Circulating Supply, Max Supply, Percentage Diluted |
| Holder Metrics | Total Addresses, Whale %, Long-term Holder %, Holder Trends |
| Technicals | RSI (7d/14d), 200d SMA/EMA, MACD, Support/Resistance |
| Intelligence | Recent News, Sentiment analysis, Red/Green flags |
Crypto Research Advanced Features
- Multi-angle analysis that combines on-chain metrics with technical indicators.
- Automated Red Flag detection for high-risk factors like low liquidity or extreme concentration.
- Holder behavior tracking to distinguish between short-term traders and long-term believers.
- Integrated sentiment analysis via the latest news feed.
- Flexible deep-dive capabilities for investigating specific token mechanics or technology use cases.
SKILL.md
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