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Meme Scout

  • 198 installs
  • 31 repo stars
  • Updated May 4, 2026
  • kukapay/crypto-skills

Scan meme-token markets, liquidity, and social signals to spot trending coins and inform trading or launch timing decisions.

About

meme-scout from kukapay/crypto-skills helps agents monitor meme-coin ecosystems, surface emerging tokens, and interpret market and social signals for timely crypto trading or promotion decisions.

  • Meme-token trend detection
  • Liquidity and volume signals
  • Social narrative scanning
  • Trading opportunity alerts
  • Crypto market recon

Meme Scout by the numbers

  • 198 all-time installs (skills.sh)
  • +4 installs in the week ending Aug 2, 2026 (Skillselion tracking)
  • Ranked #98 of 479 Web3 & Blockchain skills by installs in the Skillselion catalog
  • Data as of Aug 2, 2026 (Skillselion catalog sync)
npx skills add https://github.com/kukapay/crypto-skills --skill meme-scout

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Listed on Skillselion
Installs198
repo stars31
Last updatedMay 4, 2026
Repositorykukapay/crypto-skills

What it does

Scan meme-token markets, liquidity, and social signals to spot trending coins and inform trading or launch timing decisions.

Files

SKILL.mdMarkdownGitHub ↗

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

1. Use curl to fetch the HTML from the appropriate URL 2. Extract the __SERVER_DATA from the script tag using sed 3. Parse the JSON with Node.js VM to get the pairs array 4. Each pair contains: baseToken (name, symbol, address), priceUsd, priceChange (m5, h1, h6, h24), volume, liquidity, etc.

Example command for top 10 trending:

curl -s "https://dexscreener.com/?rankBy=trendingScoreH24&order=desc" | sed -n 's/.*window\.__SERVER_DATA\s*=\s*\(.*\);.*/\1/p' | node -e "
const fs = require('fs');
const input = fs.readFileSync(0, 'utf-8').trim();
const code = 'data = ' + input;
const vm = require('vm');
const sandbox = {data: null, URL: URL, Date: Date, undefined: undefined};
vm.runInNewContext(code, sandbox);
const pairs = sandbox.data.route.data.dexScreenerData.pairs.slice(0,10);
pairs.forEach(p => console.log(\`\${p.baseToken.name} | \${p.chainId} | $\${p.priceUsd} | \${p.priceChange.h24}% | \${p.baseToken.address}\`));
"

Risk Assessment for Specific Tokens

Steps to Check Risk

1. DexScreener Audit: Visit the pair page (https://dexscreener.com/{chainId}/{pairAddress}) and check the "Audit" section 2. RugCheck.xyz: For Solana tokens, use https://rugcheck.xyz/tokens/{tokenAddress} 3. On-chain Analysis: Check creator wallet, liquidity locks, token distribution 4. General Red Flags: Anonymous teams, Pump.fun origin, extreme volatility, no utility

Risk Levels

  • Low: Verified team, audited contracts, locked liquidity
  • Medium: Some transparency, basic audit, moderate volatility
  • High: Anonymous creator, no locks, Pump.fun token, high volatility
  • Extreme: Recent creation, suspicious patterns, social hype without substance

References

See references/ for detailed guides:

  • DEX Screener API
  • Risk Assessment Guide
  • Pump.fun Risks

Scripts

  • scripts/fetch-trending.js: Node.js script for fetching trending data
  • scripts/check-risk.sh: Bash script for basic risk checks</content>

<parameter name="filePath">./skills/meme-scout/SKILL.md

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