Meme Scout

This pulls trending meme coins from DexScreener across different timeframes (5m to 24h) and helps you assess risk before you get wrecked. It scrapes the site's server data to extract price movements, volume, and liquidity info, then provides a framework for checking tokens through DexScreener's audit section and RugCheck.xyz for Solana. The risk assessment is pretty straightforward: it flags Pump.fun tokens, anonymous teams, and missing liquidity locks. Honestly, if you're trading meme coins you probably know most of this already, but having the scraping logic and risk checklist in one place beats manually checking fifty different tokens when something's pumping.

skills.sh installs: 281
GitHub stars: 37
last updated: Aug 21, 2026

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Install

$ npx -y skills add kukapay/crypto-skills --skill meme-scout --agent claude-code

Installs into .claude/skills of the current project.

Files

Meme Scout

This skill provides workflows for finding and analyzing trending meme coins on decentralized exchanges.

Trending Tokens Discovery

Timeframes Available

5 minutes: https://dexscreener.com/?rankBy=trendingScoreM5&order=desc
1 hour: https://dexscreener.com/?rankBy=trendingScoreH1&order=desc
6 hours (default): https://dexscreener.com/
24 hours: https://dexscreener.com/?rankBy=trendingScoreH24&order=desc

How to Fetch Trending Data

Use curl to fetch the HTML from the appropriate URL
Extract the __SERVER_DATA from the script tag using sed
Parse the JSON with Node.js VM to get the pairs array
Each pair contains: baseToken (name, symbol, address), priceUsd, priceChange (m5, h1, h6, h24), volume, liquidity, etc.

Example command for top 10 trending:

SKILL.md on GitHub

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