moonpay-discover-tokens

Search tokens across six chains and generate trading briefs with heuristic risk ratings.

Updated Apr 3, 2026
One-click install
npx skills add https://github.com/Drock91/ows-hackathon --skill moonpay-discover-tokens-drock91
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: moonpay-discover-tokens
Source: https://github.com/Drock91/ows-hackathon/tree/main/.agents/skills/moonpay-discover-tokens
Command: npx skills add https://github.com/Drock91/ows-hackathon --skill moonpay-discover-tokens-drock91

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill consolidates token discovery, market data retrieval, and heuristic risk evaluation into a single, repeatable workflow so users don't have to manually query multiple sources and assemble trading briefs.

Core Features & Use Cases

  • Search and discovery: find tokens by name or symbol across supported chains (solana, ethereum, base, polygon, arbitrum, optimism).
  • Detailed retrieval: obtain token metadata, current price, liquidity, 24h volume, and trending indicators to inform decisions.
  • Trading briefs & risk checks: produce concise trading briefs and traffic-light risk summaries using liquidity thresholds, volume patterns, buy/sell ratio, unique wallet distribution, market cap vs liquidity, and short-term volatility.
  • Use case: A trader wants to know if a newly listed token is safe to buy; run a search to locate the token, retrieve full market details, and review the generated brief and risk assessment before placing an order.

Quick Start

Ask the agent to search for BONK on Solana, retrieve full market details, and generate a trading brief with a risk rating.

Frequently Asked Questions about moonpay-discover-tokens

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

FAQPage Schema
How do I assess crypto token risk before buying on chains like Solana or Ethereum?

Token risk assessment evaluates liquidity thresholds, 24h volume patterns, buy/sell ratios, and unique wallet distribution to generate heuristic traffic-light risk ratings. This Skill consolidates these off-chain and on-chain metrics into a concise trading brief for pre-trade due diligence.

What is the best way to research trending tokens across multiple blockchains?

The best way to research trending tokens across multiple blockchains is to search by name or symbol and retrieve market data like price, liquidity, and 24h volume. This Skill consolidates trending token discovery across Solana, Ethereum, Base, Polygon, Arbitrum, and Optimism into a single workflow.

How do I generate a trading brief for a newly listed token?

You generate a trading brief for a newly listed token by searching for the token, retrieving full market details, and applying heuristic risk evaluation. The resulting brief includes current price, liquidity, 24h volume, market cap vs liquidity ratios, and a traffic-light risk summary to inform trading decisions.

Does this token research tool support Base, Polygon, Arbitrum, and Optimism?

Yes, this token research tool supports Base, Polygon, Arbitrum, and Optimism, alongside Solana and Ethereum. You can select any of these chain parameters to search for tokens, retrieve detailed market data, and perform pre-trade due diligence across all six supported networks.

What metrics are used to calculate heuristic risk ratings for crypto tokens?

Heuristic risk ratings for crypto tokens are calculated using on-chain and off-chain liquidity, volume patterns, buy/sell ratios, unique wallet distribution, market cap vs liquidity comparisons, and short-term volatility. These metrics are combined to produce a traffic-light risk summary for pre-trade due diligence.