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jeremylongshore

tracking-token-launches

by jeremylongshore

Hundreds of Claude Code plugins with embedded AI skills. Learn via interactive Jupyter tutorials.

1,042🍴 135📅 Jan 23, 2026

SKILL.md


name: tracking-token-launches description: | Track new token launches across DEXes with risk analysis and contract verification. Use when discovering new token launches, monitoring IDOs, or analyzing token contracts. Trigger with phrases like "track launches", "find new tokens", "new pairs on uniswap", "token risk analysis", or "monitor IDOs".

allowed-tools: Read, Write, Edit, Grep, Glob, Bash(pythonlaunch_tracker) version: 1.0.0 author: Jeremy Longshore jeremy@intentsolutions.io license: MIT

Token Launch Tracker

Overview

Monitor new token launches across decentralized exchanges. Detect PairCreated events from DEX factory contracts, fetch token metadata, and analyze contracts for risk indicators like mint functions, blacklists, proxy patterns, and ownership status.

Prerequisites

Before using this skill, ensure you have:

  • Python 3.8+ with requests library
  • RPC endpoint access (public endpoints work for basic usage)
  • Optional: Etherscan API key for contract verification checks
  • Optional: Custom RPC URLs for higher rate limits

Commands

recent - Show Recent Launches

python launch_tracker.py recent --chain ethereum --hours 24
python launch_tracker.py recent --chain base --analyze --limit 20
python launch_tracker.py recent --chain bsc --dex "PancakeSwap V2" -f json

Options:

  • --chain, -c: Chain to scan (ethereum, bsc, arbitrum, base, polygon)
  • --hours, -H: Hours to look back (default: 24)
  • --dex, -d: Filter by DEX name
  • --limit, -l: Maximum results (default: 50)
  • --analyze, -a: Include token and contract analysis
  • --rpc-url: Custom RPC URL

detail - Token Details

python launch_tracker.py detail --address 0x... --chain ethereum

Options:

  • --address, -a: Token contract address (required)
  • --chain, -c: Chain (default: ethereum)
  • --pair, -p: Pair address (optional)
  • --etherscan-key: API key for verification check

risk - Risk Analysis

python launch_tracker.py risk --address 0x... --chain base

Analyzes contract for risk indicators:

  • Mint function (HIGH risk)
  • Proxy contract (MEDIUM risk)
  • Not verified (MEDIUM risk)
  • Blacklist functionality (MEDIUM risk)
  • Active owner (LOW risk)

summary - Launch Statistics

python launch_tracker.py summary --hours 24
python launch_tracker.py summary --chains ethereum,base,arbitrum

dexes - List DEXes

python launch_tracker.py dexes --chain bsc

chains - List Chains

python launch_tracker.py chains

Instructions

  1. Check recent launches on a specific chain:

    cd {baseDir}/scripts
    python launch_tracker.py recent --chain ethereum --hours 6
    
  2. Get detailed token info for a specific address:

    python launch_tracker.py detail --address 0x6982508145454ce325ddbe47a25d4ec3d2311933 --chain ethereum
    
  3. Analyze token risk before interaction:

    python launch_tracker.py risk --address 0x... --chain base --etherscan-key YOUR_KEY
    
  4. View cross-chain summary:

    python launch_tracker.py summary --hours 24
    
  5. Export to JSON for programmatic use:

    python launch_tracker.py -f json recent --chain ethereum --analyze > launches.json
    

Supported Chains

ChainDEXesBlock Time
EthereumUniswap V2/V3, SushiSwap12s
BSCPancakeSwap V2/V33s
ArbitrumUniswap V3, Camelot, SushiSwap0.25s
BaseUniswap V3, Aerodrome2s
PolygonUniswap V3, QuickSwap, SushiSwap2s

Risk Indicators

IndicatorSeverityDescription
Mint functionHIGHContract can mint new tokens
Proxy contractMEDIUMImplementation can be changed
Not verifiedMEDIUMSource code not public
Blacklist/whitelistMEDIUMCan restrict transfers
Active ownerLOWOwnership not renounced
Small bytecodeINFOMight be minimal/proxy

Output

  • Table format: Formatted ASCII tables with token data
  • JSON format: Structured data for programmatic use
  • Risk scores: 0-100 scale (higher = riskier)
  • Links: Explorer and DEXScreener URLs

Error Handling

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

  • RPC connection issues and fallback chain
  • Rate limiting and backoff strategies
  • Contract analysis edge cases

Examples

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

  • Finding high-risk tokens
  • Multi-chain monitoring scripts
  • Python integration

Resources

Score

Total Score

85/100

Based on repository quality metrics

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