meme-trader

Analyze Solana memecoins for rug detection, liquidity, and trade signals.

7|Updated Jan 14, 2026
One-click install
npx skills add https://github.com/dreamineering/meme-times --skill meme-trader
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: meme-trader
Source: https://github.com/dreamineering/meme-times/tree/main/.claude/skills/meme-trader
Command: npx skills add https://github.com/dreamineering/meme-times --skill meme-trader

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires axios, commander, zod, and includes scripts (resource) components.

What problem does it solve?

Traders and analysts need fast, structured insights into Solana memecoins to assess risk, detect rugs, and time trades without manual data wrangling.

Core Features & Use Cases

  • Token analysis, rug detection, and trade signals for Solana memecoins
  • Alpha generation through trend detection and cross-source verification
  • Position sizing and risk management tailored to risk tolerance
  • Data source integration from Dexscreener, Birdeye, Solscan, Pump.fun, and Jupiter

Quick Start

Prompt the system with Analyze [token/CA] to generate a rapid risk assessment and trade signals.

Frequently Asked Questions about meme-trader

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect rug pulls and analyze Solana memecoin liquidity before trading?

Solana memecoin rug detection works by cross-referencing liquidity checks and holder distribution data from Dexscreener, Birdeye, and Solscan. This analysis assesses token risk and generates structured entry or exit signals to guide trading decisions.

Can I get trade signals for pump.fun tokens using Dexscreener and Jupiter data?

Yes, trade signals for pump.fun tokens are generated by aggregating and verifying data across Dexscreener, Jupiter, and Raydium. This cross-source verification produces alpha generation insights and rapid risk assessments for Solana memecoin positions.

What's the best way to size positions for Solana memecoin trades based on risk tolerance?

Position sizing for Solana memecoin trades is determined by applying risk management rules tailored to your specific risk tolerance. The system evaluates token scrutiny results and liquidity data to recommend appropriate position sizes across different risk levels.

Does this Solana token analysis approach work with Raydium and Birdeye data sources?

Yes, this Solana token analysis integrates directly with Raydium and Birdeye data sources alongside Pump.fun and Jupiter. It aggregates liquidity checks and holder distribution metrics from these platforms to perform comprehensive risk assessment and rug detection.

How do I run Solana memecoin risk assessments locally using command line scripts?

Solana memecoin risk assessments run locally through deterministic scripts executed via the command line. Using the Commander CLI framework, these scripts process token contract addresses to output structured trading analysis and rug detection results.

Why does my Solana memecoin token analysis require cross-source verification?

Solana memecoin token analysis requires cross-source verification because relying on a single data source like Dexscreener can miss liquidity anomalies. Verifying data across Solscan, Birdeye, and Jupiter ensures accurate holder distribution checks and reliable rug detection.