A professional crypto analysis tool for predicting MemeCoin trends and assessing holder risks across multiple blockchains.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install memecoin-analyst
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install memecoin-analyst using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The MemeCoin Analyst is a specialized tool designed to provide deep technical and on-chain insights into the volatile world of meme tokens. By integrating Openclaw Skills, users can access real-time price data, technical indicators such as RSI and MACD, and detailed holder distribution metrics to identify potential risks and opportunities.
This skill serves as a comprehensive bridge between raw blockchain data and actionable intelligence. It supports a wide variety of networks including Solana, Base, and Ethereum, ensuring that developers and traders can evaluate assets regardless of their native chain. By utilizing Openclaw Skills for your financial research, you gain a competitive edge through automated risk assessment and trend forecasting.
To deploy the MemeCoin Analyst locally or as part of your infrastructure, you can use Docker for a streamlined setup. Ensure you have your SkillPay.me API key ready for authentication within the Openclaw Skills ecosystem.
docker build -t memecoin-analyst .
docker run -d -p 3000:3000 -e SKILLPAY_API_KEY=your_api_key memecoin-analyst
The skill provides a detailed schema for its analysis reports, ensuring clarity in price and risk metrics.
| Section | Description |
|---|---|
token |
Metadata including symbol, address, and blockchain network. |
price |
Real-time price, 24-hour percentage change, and trading volume. |
indicators |
Technical data including RSI values and MACD trend signals. |
prediction |
A short-term market outlook with a calculated confidence score. |
risk_assessment |
A summary of token safety based on holder distribution density. |
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