routing-dex-trades

实现跨多个去中心化交易所的智能交易路由,自动寻找最优兑换路径,在最小化滑点和 Gas 费用的同时,支持多跳路径发现、大额订单拆分、价格影响分析及 MEV 风险评估。

快捷安装

在终端运行此命令,即可一键安装该 Skill 到您的 Claude 中

npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill "routing-dex-trades"

Routing DEX Trades

Contents

Overview | Prerequisites | Instructions | Output | Error Handling | Examples | Resources

Overview

Optimal trade routing across decentralized exchanges by aggregating quotes from 1inch, Paraswap, and 0x. Discovers multi-hop routes, calculates split orders for large trades, and assesses MEV risk to minimize slippage and gas costs.

Prerequisites

  1. Install Python 3.9+ with httpx, pydantic, and rich packages
  2. Verify network access to aggregator APIs (1inch, Paraswap, 0x)
  3. Optionally add API keys for 1inch and 0x (higher rate limits)
  4. Copy settings: cp ${CLAUDE_SKILL_DIR}/config/settings.yaml.example ${CLAUDE_SKILL_DIR}/config/settings.yaml

Instructions

  1. Get a quick quote for the single best price with gas cost and effective rate:
    python ${CLAUDE_SKILL_DIR}/scripts/dex_router.py ETH USDC 1.0
  2. Compare all DEXs to see quotes ranked by effective rate (after gas):
    python ${CLAUDE_SKILL_DIR}/scripts/dex_router.py ETH USDC 5.0 --compare
  3. Analyze multi-hop routes to compare direct vs. multi-hop (2-3 pools) with hop-by-hop breakdown:
    python ${CLAUDE_SKILL_DIR}/scripts/dex_router.py ETH USDC 10.0 --routes
  4. Split large orders ($10K+) across multiple DEXs to minimize total price impact:
    python ${CLAUDE_SKILL_DIR}/scripts/dex_router.py ETH USDC 100.0 --split
  5. Assess MEV risk (sandwich attack risk score: LOW/MEDIUM/HIGH) before executing:
    python ${CLAUDE_SKILL_DIR}/scripts/dex_router.py ETH USDC 50.0 --mev-check
  6. Run full analysis combining all features for comprehensive output:
    python ${CLAUDE_SKILL_DIR}/scripts/dex_router.py ETH USDC 25.0 --full --output json

Output

  • Quick Quote: Best price, output amount, gas cost, recommended venue
  • Comparison: All venues ranked by effective rate with price impact and gas
  • Route Analysis: Direct vs. multi-hop with hop-by-hop breakdown
  • Split Mode: Optimal allocation percentages with dollar savings vs. single-venue
  • MEV Assessment: Risk score, exposure estimate, protection recommendations

See ${CLAUDE_SKILL_DIR}/references/implementation.md for detailed output examples.

Error Handling

ErrorCauseSolution
API Rate LimitedToo many requestsWait 60s or add API key for higher limits
Quote ExpiredStale price dataRefresh before execution; quotes valid ~30s
No Route FoundLow liquidity tokenTry larger DEXs or reduce trade size
Network TimeoutAggregator downRetry or check aggregator status page

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

Examples

Compare prices for a 5 ETH swap:

python ${CLAUDE_SKILL_DIR}/scripts/dex_router.py ETH USDC 5.0 --compare

Find optimal split for a large order:

python ${CLAUDE_SKILL_DIR}/scripts/dex_router.py ETH USDC 100.0 --split

Check MEV risk before executing:

python ${CLAUDE_SKILL_DIR}/scripts/dex_router.py ETH USDC 50.0 --mev-check

See ${CLAUDE_SKILL_DIR}/references/examples.md for multi-hop discovery and MEV-protected execution examples.

Resources

  • ${CLAUDE_SKILL_DIR}/references/implementation.md - Trade size guide, split optimization, MEV scoring, API config
  • 1inch API - Primary aggregator
  • Paraswap API - Secondary aggregator
  • 0x API - Third aggregator
  • Flashbots Protect - MEV protection