analyzing-mempool | mempool-analyzer | ClaudePluginHub

Skill

Community

analyzing-mempool

From mempool-analyzer

927

Description

Monitor blockchain mempools for pending transactions, front-running, and MEV opportunities. Use when monitoring pending blockchain transactions. Trigger with phrases like "check mempool", "scan pending txs", or "find MEV".

AI Summary

Monitors blockchain mempools for pending transactions, front-running, and MEV opportunities. Triggers on phrases like "check mempool", "scan pending txs", or "find MEV".

Install

1

Add the repository(one-time)

$

/plugin marketplace add jeremylongshore/claude-code-plugins-plus-skills

2

Install the plugin

$

/plugin install metrics-aggregator@claude-code-plugins-plus

Tool Access

This skill is limited to using the following tools:

ReadWriteEditGrepGlobBash(crypto:mempool-*)

Supporting Assets

View in Repository

references/errors.md

references/examples.md

references/implementation.md

Skill Content

Analyzing Mempool

Overview

This skill provides automated assistance for the described functionality.

Prerequisites

Before using this skill, ensure you have:

Access to crypto market data APIs (CoinGecko, CoinMarketCap, or similar)
Blockchain RPC endpoints or node access (Infura, Alchemy, or self-hosted)
API keys for exchanges if trading or querying account data
Web3 libraries installed (ethers.js, web3.py, or equivalent)
Understanding of blockchain concepts and crypto market dynamics

Instructions

Use Read tool to load API credentials from {baseDir}/config/crypto-apis.env
Configure blockchain RPC endpoints for target networks
Set up exchange API connections if required
Verify rate limits and subscription tiers
Test connectivity and authentication
Use Bash(crypto:mempool-*) to execute crypto data queries
Fetch real-time prices, volumes, and market cap data
Query blockchain for on-chain metrics and transactions
Retrieve exchange order book and trade history
Aggregate data from multiple sources for accuracy

See {baseDir}/references/implementation.md for detailed implementation guide.

Output

Current prices across exchanges with spread analysis
24h volume, market cap, and circulating supply
Price changes across multiple timeframes (1h, 24h, 7d, 30d)
Trading volume distribution by exchange
Liquidity metrics and slippage estimates
Transaction count and network activity

Error Handling

See {baseDir}/references/errors.md for comprehensive error handling.

Examples

See {baseDir}/references/examples.md for detailed examples.

Resources

CoinGecko API for market data across thousands of assets
Etherscan API for Ethereum blockchain data
Dune Analytics for on-chain SQL queries
The Graph for decentralized blockchain indexing
ethers.js for Ethereum smart contract interaction

Links

GitHub Stats

113 forks

Updated 3 days ago

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