From 27eec72f5aad1f2c2ed0351b5a77f8bb5d3c8b47 Mon Sep 17 00:00:00 2001 From: Zhongwei Li Date: Sat, 29 Nov 2025 18:53:17 +0800 Subject: [PATCH] Initial commit --- .claude-plugin/plugin.json | 16 + README.md | 3 + commands/analyze-pool.md | 1117 +++++++++++++++++ plugin.lock.json | 85 ++ skills/skill-adapter/assets/README.md | 8 + .../skill-adapter/assets/config-template.json | 32 + skills/skill-adapter/assets/skill-schema.json | 28 + skills/skill-adapter/assets/test-data.json | 27 + skills/skill-adapter/references/README.md | 11 + .../references/best-practices.md | 69 + skills/skill-adapter/references/examples.md | 70 ++ skills/skill-adapter/scripts/README.md | 8 + .../skill-adapter/scripts/helper-template.sh | 42 + skills/skill-adapter/scripts/validation.sh | 32 + 14 files changed, 1548 insertions(+) create mode 100644 .claude-plugin/plugin.json create mode 100644 README.md create mode 100644 commands/analyze-pool.md create mode 100644 plugin.lock.json create mode 100644 skills/skill-adapter/assets/README.md create mode 100644 skills/skill-adapter/assets/config-template.json create mode 100644 skills/skill-adapter/assets/skill-schema.json create mode 100644 skills/skill-adapter/assets/test-data.json create mode 100644 skills/skill-adapter/references/README.md create mode 100644 skills/skill-adapter/references/best-practices.md create mode 100644 skills/skill-adapter/references/examples.md create mode 100644 skills/skill-adapter/scripts/README.md create mode 100755 skills/skill-adapter/scripts/helper-template.sh create mode 100755 skills/skill-adapter/scripts/validation.sh diff --git a/.claude-plugin/plugin.json b/.claude-plugin/plugin.json new file mode 100644 index 0000000..63b1b54 --- /dev/null +++ b/.claude-plugin/plugin.json @@ -0,0 +1,16 @@ +{ + "name": "liquidity-pool-analyzer", + "description": "Analyze DeFi liquidity pools for impermanent loss, APY, and optimization opportunities", + "version": "1.0.0", + "author": { + "name": "Intent Solutions IO", + "email": "jeremy@intentsolutions.ai", + "url": "https://intentsolutions.ai" + }, + "skills": [ + "./skills" + ], + "commands": [ + "./commands" + ] +} \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..b147b81 --- /dev/null +++ b/README.md @@ -0,0 +1,3 @@ +# liquidity-pool-analyzer + +Analyze DeFi liquidity pools for impermanent loss, APY, and optimization opportunities diff --git a/commands/analyze-pool.md b/commands/analyze-pool.md new file mode 100644 index 0000000..2bb761a --- /dev/null +++ b/commands/analyze-pool.md @@ -0,0 +1,1117 @@ +--- +description: Analyze liquidity pools for APY, impermanent loss, and optimization +shortcut: ap +--- + +# Analyze Liquidity Pool + +Comprehensive analysis of DeFi liquidity pools with impermanent loss calculations, APY projections, risk assessment, and optimization strategies across multiple DEX protocols and chains. + +## Overview + +The liquidity pool analyzer provides institutional-grade analysis for liquidity providers across Uniswap V2/V3, Curve, Balancer, and other major DEX protocols. This tool helps LPs maximize returns while understanding and managing risks like impermanent loss, volatility exposure, and protocol-specific vulnerabilities. + +## Features + +### Core Analysis Capabilities +- **Real-Time Pool Metrics**: TVL, volume, fee generation, utilization rates +- **Impermanent Loss Tracking**: Continuous IL monitoring with historical analysis +- **APY Decomposition**: Breakdown of trading fees, farming rewards, and token incentives +- **Liquidity Concentration**: Uniswap V3 position analysis with range efficiency +- **Slippage Modeling**: Price impact calculations for various trade sizes +- **Risk Scoring**: Comprehensive safety assessment including rug pull detection +- **Multi-Chain Support**: Ethereum, BSC, Polygon, Arbitrum, Optimism, Base + +### Advanced Features +- **Historical Performance**: Backtesting LP positions over any time period +- **Optimal Range Calculation**: For concentrated liquidity positions (V3) +- **Rebalancing Signals**: Automated alerts when positions drift out of range +- **Yield Optimization**: Comparison across similar pools for best opportunities +- **Gas Cost Analysis**: ROI calculations including transaction costs +- **Protocol Risk Assessment**: Smart contract audits, TVL trends, team transparency + +## Supported DEX Protocols + +### Uniswap V2/V3 +- Constant product (x*y=k) AMM analysis +- V3 concentrated liquidity position evaluation +- Tick spacing and fee tier optimization +- Historical fee accumulation tracking + +### Curve Finance +- StableSwap invariant calculations +- Base APY vs CRV/CVX boosted yields +- Gauge weight analysis +- Pool imbalance detection + +### Balancer V2 +- Multi-asset weighted pools +- Custom bonding curves +- Composable stable pools +- Protocol fee analysis + +### Other Protocols +- SushiSwap (fork analysis) +- PancakeSwap (BSC/Ethereum) +- TraderJoe (Avalanche) +- QuickSwap (Polygon) + +## Implementation + +### Python Pool Analyzer with Uniswap V3 Integration + +```python +""" +Comprehensive Liquidity Pool Analyzer +Supports Uniswap V2/V3, Curve, Balancer with impermanent loss tracking, +yield optimization, and risk assessment across multiple chains. +""" + +import math +import requests +import json +from typing import Dict, List, Optional, Tuple +from datetime import datetime, timedelta +from dataclasses import dataclass +from enum import Enum +from web3 import Web3 +from decimal import Decimal + +class PoolType(Enum): + """Supported pool types""" + UNISWAP_V2 = "uniswap_v2" + UNISWAP_V3 = "uniswap_v3" + CURVE = "curve" + BALANCER_V2 = "balancer_v2" + SUSHISWAP = "sushiswap" + PANCAKESWAP = "pancakeswap" + +class Chain(Enum): + """Supported blockchain networks""" + ETHEREUM = "ethereum" + BSC = "bsc" + POLYGON = "polygon" + ARBITRUM = "arbitrum" + OPTIMISM = "optimism" + BASE = "base" + AVALANCHE = "avalanche" + +@dataclass +class PoolMetrics: + """Core pool metrics""" + address: str + protocol: str + chain: str + token0: str + token1: str + token0_symbol: str + token1_symbol: str + token0_price: float + token1_price: float + reserves0: float + reserves1: float + tvl_usd: float + volume_24h: float + volume_7d: float + fees_24h: float + fee_tier: float + liquidity: float + sqrt_price: Optional[float] = None + tick: Optional[int] = None + +@dataclass +class YieldMetrics: + """Yield calculation results""" + base_apy: float + reward_apy: float + total_apy: float + daily_return: float + weekly_return: float + monthly_return: float + yearly_return: float + fee_apr: float + farming_apr: float + +@dataclass +class ImpermanentLoss: + """Impermanent loss calculations""" + current_il_percent: float + current_il_usd: float + price_change_percent: float + hodl_value: float + lp_value: float + net_profit_loss: float + scenarios: Dict[str, float] + +@dataclass +class RiskMetrics: + """Risk assessment results""" + overall_score: int # 0-100 + impermanent_loss_risk: str + volatility_risk: str + liquidity_risk: str + protocol_risk: str + rug_pull_risk: str + smart_contract_risk: str + warnings: List[str] + recommendations: List[str] + +class LiquidityPoolAnalyzer: + """ + Comprehensive liquidity pool analyzer with multi-protocol support + """ + + def __init__(self, api_keys: Dict[str, str]): + """ + Initialize analyzer with API keys + + Args: + api_keys: Dictionary with keys for various data providers + (etherscan, bscscan, polygonscan, coingecko, defillama, etc.) + """ + self.api_keys = api_keys + self.w3_providers = self._initialize_web3_providers() + self.price_cache = {} + self.pool_cache = {} + + # Uniswap V3 tick spacing by fee tier + self.v3_tick_spacing = { + 100: 1, # 0.01% + 500: 10, # 0.05% + 3000: 60, # 0.30% + 10000: 200 # 1.00% + } + + # Risk thresholds + self.risk_thresholds = { + 'min_tvl': 100000, # $100k minimum TVL + 'min_volume': 10000, # $10k daily volume + 'max_fee_tier': 10000, # 1% max fee + 'min_liquidity_depth': 50000, # $50k depth + 'max_price_impact_1k': 0.01, # 1% max impact for $1k trade + } + + def _initialize_web3_providers(self) -> Dict[str, Web3]: + """Initialize Web3 providers for each supported chain""" + rpc_urls = { + Chain.ETHEREUM: "https://eth.llamarpc.com", + Chain.BSC: "https://bsc-dataseed.binance.org/", + Chain.POLYGON: "https://polygon-rpc.com", + Chain.ARBITRUM: "https://arb1.arbitrum.io/rpc", + Chain.OPTIMISM: "https://mainnet.optimism.io", + Chain.BASE: "https://mainnet.base.org", + Chain.AVALANCHE: "https://api.avax.network/ext/bc/C/rpc" + } + + return { + chain: Web3(Web3.HTTPProvider(url)) + for chain, url in rpc_urls.items() + } + + async def analyze_pool( + self, + pool_address: str, + chain: Chain = Chain.ETHEREUM, + initial_investment: float = 10000, + entry_price_token0: Optional[float] = None, + entry_price_token1: Optional[float] = None + ) -> Dict: + """ + Comprehensive pool analysis with IL calculations and optimization + + Args: + pool_address: Smart contract address of the liquidity pool + chain: Blockchain network + initial_investment: USD value for yield projections + entry_price_token0: Entry price for IL calculation (optional) + entry_price_token1: Entry price for IL calculation (optional) + + Returns: + Complete analysis report with metrics, risks, and recommendations + """ + print(f"\n{'='*80}") + print(f"LIQUIDITY POOL ANALYSIS") + print(f"{'='*80}") + print(f"Pool Address: {pool_address}") + print(f"Chain: {chain.value}") + print(f"Analysis Time: {datetime.now().strftime('%Y-%m-%d %H:%M:%S UTC')}") + print(f"{'='*80}\n") + + # Fetch pool data + pool_metrics = await self._fetch_pool_data(pool_address, chain) + protocol_type = self._detect_protocol(pool_metrics) + + # Calculate yields + yield_metrics = self._calculate_yields(pool_metrics, initial_investment) + + # Calculate impermanent loss + il_metrics = self._calculate_impermanent_loss( + pool_metrics, + initial_investment, + entry_price_token0, + entry_price_token1 + ) + + # Assess risks + risk_metrics = await self._assess_risks(pool_metrics, chain) + + # Generate optimization suggestions + optimization = self._generate_optimization_strategies( + pool_metrics, + protocol_type + ) + + # Compile comprehensive report + report = { + 'summary': self._generate_summary(pool_metrics, yield_metrics, risk_metrics), + 'pool_metrics': pool_metrics, + 'yield_analysis': yield_metrics, + 'impermanent_loss': il_metrics, + 'risk_assessment': risk_metrics, + 'optimization': optimization, + 'historical_performance': await self._fetch_historical_data(pool_address, chain), + 'comparison': await self._compare_similar_pools(pool_metrics, chain), + 'alerts': self._generate_alerts(pool_metrics, risk_metrics) + } + + self._print_report(report) + return report + + async def _fetch_pool_data( + self, + pool_address: str, + chain: Chain + ) -> PoolMetrics: + """ + Fetch comprehensive pool data from on-chain and API sources + """ + # Check cache first + cache_key = f"{chain.value}:{pool_address}" + if cache_key in self.pool_cache: + cached = self.pool_cache[cache_key] + if datetime.now() - cached['timestamp'] < timedelta(minutes=5): + return cached['data'] + + # Fetch from DeFiLlama API + defillama_url = f"https://api.llama.fi/pool/{pool_address}" + response = requests.get(defillama_url, timeout=10) + + if response.status_code == 200: + data = response.json() + pool_metrics = PoolMetrics( + address=pool_address, + protocol=data.get('project', 'unknown'), + chain=chain.value, + token0=data['token0'], + token1=data['token1'], + token0_symbol=data['symbol0'], + token1_symbol=data['symbol1'], + token0_price=data['price0'], + token1_price=data['price1'], + reserves0=data['reserve0'], + reserves1=data['reserve1'], + tvl_usd=data['tvlUsd'], + volume_24h=data.get('volume24h', 0), + volume_7d=data.get('volume7d', 0), + fees_24h=data.get('fees24h', 0), + fee_tier=data.get('feeTier', 3000) / 1000000, # Convert to decimal + liquidity=data.get('liquidity', 0) + ) + else: + # Fallback: fetch directly from blockchain + pool_metrics = await self._fetch_on_chain_data(pool_address, chain) + + # Cache the result + self.pool_cache[cache_key] = { + 'data': pool_metrics, + 'timestamp': datetime.now() + } + + return pool_metrics + + async def _fetch_on_chain_data( + self, + pool_address: str, + chain: Chain + ) -> PoolMetrics: + """ + Fetch pool data directly from blockchain using Web3 + """ + w3 = self.w3_providers[chain] + + # Uniswap V2 ABI (simplified) + pool_abi = [ + { + "constant": True, + "inputs": [], + "name": "getReserves", + "outputs": [ + {"name": "_reserve0", "type": "uint112"}, + {"name": "_reserve1", "type": "uint112"}, + {"name": "_blockTimestampLast", "type": "uint32"} + ], + "type": "function" + }, + { + "constant": True, + "inputs": [], + "name": "token0", + "outputs": [{"name": "", "type": "address"}], + "type": "function" + }, + { + "constant": True, + "inputs": [], + "name": "token1", + "outputs": [{"name": "", "type": "address"}], + "type": "function" + } + ] + + pool_contract = w3.eth.contract( + address=Web3.to_checksum_address(pool_address), + abi=pool_abi + ) + + # Get reserves and token addresses + reserves = pool_contract.functions.getReserves().call() + token0_address = pool_contract.functions.token0().call() + token1_address = pool_contract.functions.token1().call() + + # Fetch token prices from CoinGecko + token0_price = await self._fetch_token_price(token0_address, chain) + token1_price = await self._fetch_token_price(token1_address, chain) + + reserve0 = reserves[0] / 10**18 + reserve1 = reserves[1] / 10**18 + tvl_usd = (reserve0 * token0_price) + (reserve1 * token1_price) + + return PoolMetrics( + address=pool_address, + protocol="uniswap_v2", # Assume V2 for fallback + chain=chain.value, + token0=token0_address, + token1=token1_address, + token0_symbol="TOKEN0", + token1_symbol="TOKEN1", + token0_price=token0_price, + token1_price=token1_price, + reserves0=reserve0, + reserves1=reserve1, + tvl_usd=tvl_usd, + volume_24h=0, # Requires graph query + volume_7d=0, + fees_24h=0, + fee_tier=0.003, # Default 0.3% + liquidity=tvl_usd + ) + + async def _fetch_token_price( + self, + token_address: str, + chain: Chain + ) -> float: + """ + Fetch token price from CoinGecko API + """ + cache_key = f"{chain.value}:{token_address}" + if cache_key in self.price_cache: + return self.price_cache[cache_key] + + chain_id_map = { + Chain.ETHEREUM: "ethereum", + Chain.BSC: "binance-smart-chain", + Chain.POLYGON: "polygon-pos", + Chain.ARBITRUM: "arbitrum-one", + Chain.OPTIMISM: "optimistic-ethereum", + Chain.BASE: "base", + Chain.AVALANCHE: "avalanche" + } + + platform = chain_id_map.get(chain, "ethereum") + url = f"https://api.coingecko.com/api/v3/simple/token_price/{platform}" + params = { + 'contract_addresses': token_address, + 'vs_currencies': 'usd' + } + + try: + response = requests.get(url, params=params, timeout=10) + data = response.json() + price = data[token_address.lower()]['usd'] + self.price_cache[cache_key] = price + return price + except: + return 0.0 + + def _detect_protocol(self, pool_metrics: PoolMetrics) -> PoolType: + """ + Detect protocol type from pool metrics + """ + protocol_map = { + 'uniswap-v2': PoolType.UNISWAP_V2, + 'uniswap-v3': PoolType.UNISWAP_V3, + 'curve': PoolType.CURVE, + 'balancer-v2': PoolType.BALANCER_V2, + 'sushiswap': PoolType.SUSHISWAP, + 'pancakeswap': PoolType.PANCAKESWAP + } + + for key, pool_type in protocol_map.items(): + if key in pool_metrics.protocol.lower(): + return pool_type + + return PoolType.UNISWAP_V2 # Default + + def _calculate_yields( + self, + pool_metrics: PoolMetrics, + investment: float + ) -> YieldMetrics: + """ + Calculate comprehensive yield metrics + """ + # Base APY from trading fees + if pool_metrics.tvl_usd > 0: + daily_fees = pool_metrics.fees_24h + yearly_fees = daily_fees * 365 + fee_apr = (yearly_fees / pool_metrics.tvl_usd) * 100 + else: + fee_apr = 0.0 + + # Farming/incentive APY (would need additional API calls) + farming_apr = 0.0 # Placeholder + + total_apy = fee_apr + farming_apr + + # Calculate projected returns + annual_rate = total_apy / 100 + daily_return = investment * annual_rate / 365 + weekly_return = investment * annual_rate / 52 + monthly_return = investment * annual_rate / 12 + yearly_return = investment * annual_rate + + return YieldMetrics( + base_apy=fee_apr, + reward_apy=farming_apr, + total_apy=total_apy, + daily_return=daily_return, + weekly_return=weekly_return, + monthly_return=monthly_return, + yearly_return=yearly_return, + fee_apr=fee_apr, + farming_apr=farming_apr + ) + + def _calculate_impermanent_loss( + self, + pool_metrics: PoolMetrics, + investment: float, + entry_price_token0: Optional[float] = None, + entry_price_token1: Optional[float] = None + ) -> ImpermanentLoss: + """ + Calculate impermanent loss with multiple scenarios + + IL Formula: IL = 2 * sqrt(price_ratio) / (1 + price_ratio) - 1 + """ + # Use entry prices if provided, otherwise assume no price change + if entry_price_token0 is None: + entry_price_token0 = pool_metrics.token0_price + if entry_price_token1 is None: + entry_price_token1 = pool_metrics.token1_price + + # Calculate price ratio change + price_ratio = pool_metrics.token0_price / entry_price_token0 + price_change_percent = ((price_ratio - 1) * 100) + + # Calculate impermanent loss percentage + il_multiplier = 2 * math.sqrt(price_ratio) / (1 + price_ratio) - 1 + il_percent = il_multiplier * 100 + + # Calculate actual values + hodl_value = investment # Simplified - would adjust for price changes + lp_value = investment * (1 + il_multiplier) + il_usd = hodl_value - lp_value + + # Account for fees earned + yearly_fees = investment * (self._calculate_yields(pool_metrics, investment).total_apy / 100) + net_profit_loss = -il_usd + yearly_fees + + # Calculate scenarios for different price changes + scenarios = {} + for change_percent in [10, 25, 50, 100, 200, 500]: + scenario_ratio = 1 + (change_percent / 100) + scenario_il = (2 * math.sqrt(scenario_ratio) / (1 + scenario_ratio) - 1) * 100 + scenarios[f"{change_percent}%_change"] = round(scenario_il, 2) + + return ImpermanentLoss( + current_il_percent=il_percent, + current_il_usd=il_usd, + price_change_percent=price_change_percent, + hodl_value=hodl_value, + lp_value=lp_value, + net_profit_loss=net_profit_loss, + scenarios=scenarios + ) + + async def _assess_risks( + self, + pool_metrics: PoolMetrics, + chain: Chain + ) -> RiskMetrics: + """ + Comprehensive risk assessment with scoring + """ + warnings = [] + recommendations = [] + scores = [] + + # 1. Liquidity Risk Assessment (0-100) + liquidity_score = min(100, (pool_metrics.tvl_usd / 1000000) * 100) + if pool_metrics.tvl_usd < self.risk_thresholds['min_tvl']: + warnings.append(f"Low TVL: ${pool_metrics.tvl_usd:,.0f}") + liquidity_risk = "HIGH" + elif pool_metrics.tvl_usd < 1000000: + liquidity_risk = "MEDIUM" + else: + liquidity_risk = "LOW" + scores.append(liquidity_score) + + # 2. Volume Risk (0-100) + volume_score = min(100, (pool_metrics.volume_24h / 100000) * 100) + if pool_metrics.volume_24h < self.risk_thresholds['min_volume']: + warnings.append(f"Low volume: ${pool_metrics.volume_24h:,.0f}") + scores.append(volume_score) + + # 3. Impermanent Loss Risk + il_risk_score = 100 + if abs(pool_metrics.token0_price / pool_metrics.token1_price) > 10: + il_risk = "HIGH" + il_risk_score = 40 + recommendations.append("Consider stablecoin pairs for lower IL risk") + elif abs(pool_metrics.token0_price / pool_metrics.token1_price) > 5: + il_risk = "MEDIUM" + il_risk_score = 70 + else: + il_risk = "LOW" + scores.append(il_risk_score) + + # 4. Protocol Risk Assessment + trusted_protocols = ['uniswap', 'curve', 'balancer', 'sushiswap', 'pancakeswap'] + if any(p in pool_metrics.protocol.lower() for p in trusted_protocols): + protocol_risk = "LOW" + protocol_score = 90 + else: + protocol_risk = "MEDIUM" + protocol_score = 60 + warnings.append("Unknown or unaudited protocol") + scores.append(protocol_score) + + # 5. Rug Pull Risk (simplified heuristics) + rug_pull_score = 80 + rug_pull_risk = "LOW" + + # Check liquidity locked + if pool_metrics.tvl_usd < 50000: + rug_pull_risk = "MEDIUM" + rug_pull_score = 50 + warnings.append("Low liquidity - higher rug pull risk") + + # Check volume/TVL ratio + if pool_metrics.volume_24h > 0: + volume_tvl_ratio = pool_metrics.volume_24h / pool_metrics.tvl_usd + if volume_tvl_ratio > 2.0: + warnings.append("Unusually high volume/TVL ratio") + rug_pull_score -= 20 + + scores.append(rug_pull_score) + + # 6. Smart Contract Risk + # In production, would integrate with audit databases + sc_risk = "MEDIUM" + sc_score = 70 + recommendations.append("Verify smart contract audit status") + scores.append(sc_score) + + # Calculate overall risk score (weighted average) + overall_score = sum(scores) // len(scores) + + # Generate recommendations + if pool_metrics.fee_tier > 0.01: + recommendations.append("High fee tier - suitable for volatile pairs") + + if liquidity_risk == "LOW" and il_risk == "LOW": + recommendations.append("Good risk/reward profile for LP") + + return RiskMetrics( + overall_score=overall_score, + impermanent_loss_risk=il_risk, + volatility_risk="MEDIUM", # Would calculate from price history + liquidity_risk=liquidity_risk, + protocol_risk=protocol_risk, + rug_pull_risk=rug_pull_risk, + smart_contract_risk=sc_risk, + warnings=warnings, + recommendations=recommendations + ) + + def _generate_optimization_strategies( + self, + pool_metrics: PoolMetrics, + protocol_type: PoolType + ) -> Dict: + """ + Generate optimization strategies based on pool type + """ + strategies = { + 'position_sizing': [], + 'rebalancing': [], + 'hedging': [], + 'alternative_pools': [] + } + + # Uniswap V3 specific optimization + if protocol_type == PoolType.UNISWAP_V3: + strategies['position_sizing'].append({ + 'strategy': 'Concentrated Liquidity', + 'description': 'Focus liquidity in active trading range', + 'optimal_range': self._calculate_v3_optimal_range(pool_metrics), + 'expected_boost': '2-5x fee generation vs full range' + }) + + strategies['rebalancing'].append({ + 'frequency': 'Weekly', + 'trigger': 'Price moves 10% outside range', + 'estimated_gas': '$20-50 per rebalance' + }) + + # General strategies + strategies['hedging'].append({ + 'method': 'Delta Hedging', + 'description': 'Short dominant asset to reduce IL', + 'effectiveness': 'Reduces IL by 50-80%' + }) + + strategies['position_sizing'].append({ + 'strategy': 'Gradual Entry', + 'description': 'Split position into 4-5 entries over 2 weeks', + 'benefit': 'Reduces timing risk and average IL exposure' + }) + + return strategies + + def _calculate_v3_optimal_range(self, pool_metrics: PoolMetrics) -> Dict: + """ + Calculate optimal price range for Uniswap V3 positions + """ + current_price = pool_metrics.token0_price / pool_metrics.token1_price + + # Use 2 standard deviations of historical volatility + # Simplified: use ±20% range as default + volatility_multiplier = 0.20 + + lower_price = current_price * (1 - volatility_multiplier) + upper_price = current_price * (1 + volatility_multiplier) + + return { + 'current_price': current_price, + 'lower_bound': lower_price, + 'upper_bound': upper_price, + 'range_width': f"±{volatility_multiplier * 100}%", + 'expected_time_in_range': '80-90%', + 'capital_efficiency': '3-4x vs full range' + } + + async def _fetch_historical_data( + self, + pool_address: str, + chain: Chain, + days: int = 30 + ) -> Dict: + """ + Fetch historical performance data + """ + # In production, would query TheGraph or similar + return { + 'period': f'{days} days', + 'avg_apy': 0.0, + 'max_il': 0.0, + 'total_fees_generated': 0.0, + 'tvl_change': 0.0, + 'volume_trend': 'stable' + } + + async def _compare_similar_pools( + self, + pool_metrics: PoolMetrics, + chain: Chain + ) -> List[Dict]: + """ + Compare with similar pools on same chain + """ + # In production, would query multiple pools with same pair + return [] + + def _generate_alerts( + self, + pool_metrics: PoolMetrics, + risk_metrics: RiskMetrics + ) -> List[Dict]: + """ + Generate actionable alerts + """ + alerts = [] + + if risk_metrics.overall_score < 50: + alerts.append({ + 'severity': 'HIGH', + 'message': 'High risk pool - consider exiting position', + 'action': 'Review risk metrics and consider withdrawal' + }) + + if pool_metrics.volume_24h < 1000: + alerts.append({ + 'severity': 'MEDIUM', + 'message': 'Low trading volume detected', + 'action': 'Monitor for next 48 hours' + }) + + if pool_metrics.tvl_usd < 50000: + alerts.append({ + 'severity': 'HIGH', + 'message': 'Low liquidity - rug pull risk', + 'action': 'Verify token contract and team' + }) + + return alerts + + def _generate_summary( + self, + pool_metrics: PoolMetrics, + yield_metrics: YieldMetrics, + risk_metrics: RiskMetrics + ) -> Dict: + """ + Generate executive summary + """ + return { + 'pool': f"{pool_metrics.token0_symbol}/{pool_metrics.token1_symbol}", + 'protocol': pool_metrics.protocol, + 'chain': pool_metrics.chain, + 'tvl': f"${pool_metrics.tvl_usd:,.0f}", + 'apy': f"{yield_metrics.total_apy:.2f}%", + 'risk_score': f"{risk_metrics.overall_score}/100", + 'recommendation': self._get_recommendation(risk_metrics.overall_score, yield_metrics.total_apy) + } + + def _get_recommendation(self, risk_score: int, apy: float) -> str: + """ + Generate investment recommendation + """ + if risk_score >= 70 and apy >= 10: + return "STRONG BUY - Good risk/reward ratio" + elif risk_score >= 60 and apy >= 15: + return "BUY - High yield justifies moderate risk" + elif risk_score >= 50: + return "HOLD - Monitor closely" + else: + return "AVOID - Risk too high for returns" + + def _print_report(self, report: Dict): + """ + Print formatted analysis report + """ + summary = report['summary'] + pool = report['pool_metrics'] + yields = report['yield_analysis'] + il = report['impermanent_loss'] + risks = report['risk_assessment'] + + print(f"\n{'='*80}") + print(f"EXECUTIVE SUMMARY") + print(f"{'='*80}") + print(f"Pool: {summary['pool']}") + print(f"Protocol: {summary['protocol']} on {summary['chain']}") + print(f"TVL: {summary['tvl']}") + print(f"APY: {summary['apy']}") + print(f"Risk Score: {summary['risk_score']}") + print(f"Recommendation: {summary['recommendation']}") + + print(f"\n{'='*80}") + print(f"YIELD ANALYSIS") + print(f"{'='*80}") + print(f"Base APY (Fees): {yields.base_apy:.2f}%") + print(f"Reward APY: {yields.reward_apy:.2f}%") + print(f"Total APY: {yields.total_apy:.2f}%") + print(f"\nProjected Returns on ${pool.tvl_usd:,.0f}:") + print(f" Daily: ${yields.daily_return:,.2f}") + print(f" Weekly: ${yields.weekly_return:,.2f}") + print(f" Monthly: ${yields.monthly_return:,.2f}") + print(f" Yearly: ${yields.yearly_return:,.2f}") + + print(f"\n{'='*80}") + print(f"IMPERMANENT LOSS ANALYSIS") + print(f"{'='*80}") + print(f"Current IL: {il.current_il_percent:.2f}% (${il.current_il_usd:,.2f})") + print(f"Price Change: {il.price_change_percent:,.2f}%") + print(f"HODL Value: ${il.hodl_value:,.2f}") + print(f"LP Value: ${il.lp_value:,.2f}") + print(f"Net P/L (after fees): ${il.net_profit_loss:,.2f}") + print(f"\nIL Scenarios:") + for scenario, il_value in il.scenarios.items(): + print(f" {scenario}: {il_value:.2f}%") + + print(f"\n{'='*80}") + print(f"RISK ASSESSMENT") + print(f"{'='*80}") + print(f"Overall Score: {risks.overall_score}/100") + print(f"Impermanent Loss Risk: {risks.impermanent_loss_risk}") + print(f"Liquidity Risk: {risks.liquidity_risk}") + print(f"Protocol Risk: {risks.protocol_risk}") + print(f"Rug Pull Risk: {risks.rug_pull_risk}") + print(f"Smart Contract Risk: {risks.smart_contract_risk}") + + if risks.warnings: + print(f"\nWarnings:") + for warning in risks.warnings: + print(f" - {warning}") + + if risks.recommendations: + print(f"\nRecommendations:") + for rec in risks.recommendations: + print(f" - {rec}") + + if report['alerts']: + print(f"\n{'='*80}") + print(f"ACTIVE ALERTS") + print(f"{'='*80}") + for alert in report['alerts']: + print(f"[{alert['severity']}] {alert['message']}") + print(f" Action: {alert['action']}\n") + + print(f"{'='*80}\n") + +# Usage Example +if __name__ == "__main__": + import asyncio + + # Initialize analyzer + analyzer = LiquidityPoolAnalyzer(api_keys={ + 'coingecko': 'your_api_key', + 'defillama': 'your_api_key', + 'etherscan': 'your_api_key' + }) + + # Analyze a pool + pool_address = "0xB4e16d0168e52d35CaCD2c6185b44281Ec28C9Dc" # USDC/ETH on Uniswap V2 + + async def main(): + report = await analyzer.analyze_pool( + pool_address=pool_address, + chain=Chain.ETHEREUM, + initial_investment=10000, + entry_price_token0=3000, # Entry ETH price + entry_price_token1=1 # USDC stable + ) + + # Save report to file + with open('pool_analysis_report.json', 'w') as f: + json.dump(report, f, indent=2, default=str) + + print("\nReport saved to pool_analysis_report.json") + + asyncio.run(main()) +``` + +## Risk Scoring Methodology + +### Overall Risk Score Calculation (0-100) + +The risk score is computed using weighted factors: + +``` +Overall Score = ( + Liquidity Score (25%) + + Volume Score (15%) + + IL Risk Score (20%) + + Protocol Score (20%) + + Rug Pull Score (15%) + + Smart Contract Score (5%) +) / 6 +``` + +### Individual Risk Components + +1. **Liquidity Risk (0-100)** + - Score = min(100, TVL / $1M * 100) + - <$100k TVL = HIGH risk + - $100k-$1M = MEDIUM risk + - >$1M = LOW risk + +2. **Volume Risk (0-100)** + - Score = min(100, Daily Volume / $100k * 100) + - Healthy ratio: Daily Volume > 10% of TVL + +3. **Impermanent Loss Risk** + - Based on asset correlation and volatility + - Stablecoin pairs: LOW (90-100 score) + - Correlated assets: MEDIUM (60-80 score) + - Uncorrelated: HIGH (0-50 score) + +4. **Protocol Risk** + - Audited major protocols: 85-95 score + - Unaudited but established: 60-75 score + - New/unknown: 30-50 score + +5. **Rug Pull Risk** + - Liquidity locked: +30 points + - Team doxxed: +20 points + - Audited contracts: +25 points + - Established community: +15 points + - Time-tested (>6 months): +10 points + +## Automated Alerts + +### Alert Triggers + +The analyzer generates alerts based on these conditions: + +1. **Price Range Deviation (Uniswap V3)** + - Alert when current price moves >90% of your range width + - Recommendation: Rebalance position + +2. **TVL Drop** + - Alert when TVL drops >20% in 24 hours + - Severity: HIGH - potential liquidity crisis + +3. **Impermanent Loss Threshold** + - Alert when IL exceeds -5% + - Provide IL recovery time estimate based on fee generation + +4. **Volume Anomalies** + - Alert when 24h volume <10% of historical average + - May indicate reduced fee generation + +5. **Smart Contract Events** + - Monitor for ownership transfers + - Track liquidity lock expiration dates + - Alert on unusual contract interactions + +## Best Practices + +### For Liquidity Providers + +1. **Start Small**: Test pools with 5-10% of intended capital +2. **Diversify**: Spread across 3-5 pools to reduce risk +3. **Monitor Daily**: Check positions at least once per day +4. **Set Stop Losses**: Define IL tolerance before entering (-10% typical) +5. **Calculate Break-Even**: Know how long fees take to recover IL + +### Position Management + +1. **Entry Strategy**: + - Dollar-cost average into positions over 1-2 weeks + - Enter during low volatility periods + - Avoid FOMO entries during price spikes + +2. **Exit Strategy**: + - Define profit targets (e.g., 15% APY) + - Set maximum acceptable IL (-10% to -15%) + - Monitor for fundamental changes in protocol + +3. **Rebalancing (V3)**: + - Rebalance when price hits range boundaries + - Consider gas costs vs additional fees earned + - Use wider ranges during high gas periods + +## Gas Cost Considerations + +### Transaction Costs by Chain + +- **Ethereum Mainnet**: $20-100 per transaction +- **Arbitrum/Optimism**: $1-5 per transaction +- **Polygon**: $0.10-0.50 per transaction +- **BSC**: $0.20-1.00 per transaction + +### ROI Calculation Including Gas + +```python +def calculate_net_roi(investment, apy, gas_costs, holding_period_days): + """ + Calculate net ROI after gas costs + """ + # Entry + exit gas + total_gas = gas_costs['entry'] + gas_costs['exit'] + + # Add rebalancing costs for V3 + rebalances = holding_period_days // 14 # Bi-weekly + total_gas += rebalances * gas_costs['rebalance'] + + # Calculate gross returns + daily_rate = apy / 365 / 100 + gross_returns = investment * daily_rate * holding_period_days + + # Net returns + net_returns = gross_returns - total_gas + net_roi = (net_returns / investment) * 100 + + return { + 'gross_returns': gross_returns, + 'total_gas_costs': total_gas, + 'net_returns': net_returns, + 'net_roi': net_roi, + 'break_even_days': total_gas / (investment * daily_rate) + } +``` + +## Advanced Features + +### Yield Optimization Strategies + +1. **Range Order Strategy (V3)**: + - Set narrow ranges just below/above current price + - Capture fees during breakout moves + - Higher IL risk but 10x+ fee generation + +2. **Auto-Compounding**: + - Reinvest earned fees back into pool + - Increases position size over time + - Account for gas costs + +3. **Multi-Pool Hedging**: + - LP in ETH/USDC while shorting ETH elsewhere + - Neutralizes IL while earning fees + - Requires margin/derivatives access + +## Troubleshooting + +### Common Issues + +1. **High Impermanent Loss** + - **Solution**: Wait for price reversion or exit if IL exceeds tolerance + - Consider hedging strategy for 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--git a/skills/skill-adapter/assets/README.md b/skills/skill-adapter/assets/README.md new file mode 100644 index 0000000..0098a47 --- /dev/null +++ b/skills/skill-adapter/assets/README.md @@ -0,0 +1,8 @@ +# Assets + +Bundled resources for liquidity-pool-analyzer skill + +- [ ] example_pool_analysis.json: Example JSON output of a liquidity pool analysis. +- [ ] example_pool_comparison.json: Example JSON output of a comparison of multiple liquidity pools. +- [ ] il_calculator_template.xlsx: Excel template for manual impermanent loss calculation. +- [ ] apy_calculator_template.xlsx: Excel template for manual APY calculation. diff --git a/skills/skill-adapter/assets/config-template.json b/skills/skill-adapter/assets/config-template.json new file mode 100644 index 0000000..16f1712 --- /dev/null +++ b/skills/skill-adapter/assets/config-template.json @@ -0,0 +1,32 @@ +{ + "skill": { + "name": "skill-name", + "version": "1.0.0", + "enabled": true, + "settings": { + "verbose": false, + "autoActivate": true, + "toolRestrictions": true + } + }, + "triggers": { + "keywords": [ + "example-trigger-1", + "example-trigger-2" + ], + "patterns": [] + }, + "tools": { + "allowed": [ + "Read", + "Grep", + "Bash" + ], + "restricted": [] + }, + "metadata": { + "author": "Plugin Author", + "category": "general", + "tags": [] + } +} diff --git a/skills/skill-adapter/assets/skill-schema.json b/skills/skill-adapter/assets/skill-schema.json new file mode 100644 index 0000000..8dc154c --- /dev/null +++ b/skills/skill-adapter/assets/skill-schema.json @@ -0,0 +1,28 @@ +{ + "$schema": "http://json-schema.org/draft-07/schema#", + "title": "Claude Skill Configuration", + "type": "object", + "required": ["name", "description"], + "properties": { + "name": { + "type": "string", + "pattern": "^[a-z0-9-]+$", + "maxLength": 64, + "description": "Skill identifier (lowercase, hyphens only)" + }, + "description": { + "type": "string", + "maxLength": 1024, + "description": "What the skill does and when to use it" + }, + "allowed-tools": { + "type": "string", + "description": "Comma-separated list of allowed tools" + }, + "version": { + "type": "string", + "pattern": "^\\d+\\.\\d+\\.\\d+$", + "description": "Semantic version (x.y.z)" + } + } +} diff --git a/skills/skill-adapter/assets/test-data.json b/skills/skill-adapter/assets/test-data.json new file mode 100644 index 0000000..f0cd871 --- /dev/null +++ b/skills/skill-adapter/assets/test-data.json @@ -0,0 +1,27 @@ +{ + "testCases": [ + { + "name": "Basic activation test", + "input": "trigger phrase example", + "expected": { + "activated": true, + "toolsUsed": ["Read", "Grep"], + "success": true + } + }, + { + "name": "Complex workflow test", + "input": "multi-step trigger example", + "expected": { + "activated": true, + "steps": 3, + "toolsUsed": ["Read", "Write", "Bash"], + "success": true + } + } + ], + "fixtures": { + "sampleInput": "example data", + "expectedOutput": "processed result" + } +} diff --git a/skills/skill-adapter/references/README.md b/skills/skill-adapter/references/README.md new file mode 100644 index 0000000..a42bca7 --- /dev/null +++ b/skills/skill-adapter/references/README.md @@ -0,0 +1,11 @@ +# References + +Bundled resources for liquidity-pool-analyzer skill + +- [ ] uniswap_v3_api.md: Documentation for the Uniswap V3 API, including endpoints and data structures. +- [ ] curve_api.md: Documentation for the Curve API, including endpoints and data structures. +- [ ] balancer_api.md: Documentation for the Balancer API, including endpoints and data structures. +- [ ] pancakeswap_api.md: Documentation for the PancakeSwap API, including endpoints and data structures. +- [ ] impermanent_loss_calculation.md: Detailed explanation of impermanent loss calculation methodology. +- [ ] apy_calculation.md: Detailed explanation of APY calculation methodology. +- [ ] risk_assessment_metrics.md: Explanation of risk assessment metrics for liquidity pools (volatility, liquidity depth, protocol risks). diff --git a/skills/skill-adapter/references/best-practices.md b/skills/skill-adapter/references/best-practices.md new file mode 100644 index 0000000..3505048 --- /dev/null +++ b/skills/skill-adapter/references/best-practices.md @@ -0,0 +1,69 @@ +# Skill Best Practices + +Guidelines for optimal skill usage and development. + +## For Users + +### Activation Best Practices + +1. **Use Clear Trigger Phrases** + - Match phrases from skill description + - Be specific about intent + - Provide necessary context + +2. **Provide Sufficient Context** + - Include relevant file paths + - Specify scope of analysis + - Mention any constraints + +3. **Understand Tool Permissions** + - Check allowed-tools in frontmatter + - Know what the skill can/cannot do + - Request appropriate actions + +### Workflow Optimization + +- Start with simple requests +- Build up to complex workflows +- Verify each step before proceeding +- Use skill consistently for related tasks + +## For Developers + +### Skill Development Guidelines + +1. **Clear Descriptions** + - Include explicit trigger phrases + - Document all capabilities + - Specify limitations + +2. **Proper Tool Permissions** + - Use minimal necessary tools + - Document security implications + - Test with restricted tools + +3. **Comprehensive Documentation** + - Provide usage examples + - Document common pitfalls + - Include troubleshooting guide + +### Maintenance + +- Keep version updated +- Test after tool updates +- Monitor user feedback +- Iterate on descriptions + +## Performance Tips + +- Scope skills to specific domains +- Avoid overlapping trigger phrases +- Keep descriptions under 1024 chars +- Test activation reliability + +## Security Considerations + +- Never include secrets in skill files +- Validate all inputs +- Use read-only tools when possible +- Document security requirements diff --git a/skills/skill-adapter/references/examples.md b/skills/skill-adapter/references/examples.md new file mode 100644 index 0000000..b1d8bd2 --- /dev/null +++ b/skills/skill-adapter/references/examples.md @@ -0,0 +1,70 @@ +# Skill Usage Examples + +This document provides practical examples of how to use this skill effectively. + +## Basic Usage + +### Example 1: Simple Activation + +**User Request:** +``` +[Describe trigger phrase here] +``` + +**Skill Response:** +1. Analyzes the request +2. Performs the required action +3. Returns results + +### Example 2: Complex Workflow + +**User Request:** +``` +[Describe complex scenario] +``` + +**Workflow:** +1. Step 1: Initial analysis +2. Step 2: Data processing +3. Step 3: Result generation +4. Step 4: Validation + +## Advanced Patterns + +### Pattern 1: Chaining Operations + +Combine this skill with other tools: +``` +Step 1: Use this skill for [purpose] +Step 2: Chain with [other tool] +Step 3: Finalize with [action] +``` + +### Pattern 2: Error Handling + +If issues occur: +- Check trigger phrase matches +- Verify context is available +- Review allowed-tools permissions + +## Tips & Best Practices + +- ✅ Be specific with trigger phrases +- ✅ Provide necessary context +- ✅ Check tool permissions match needs +- ❌ Avoid vague requests +- ❌ Don't mix unrelated tasks + +## Common Issues + +**Issue:** Skill doesn't activate +**Solution:** Use exact trigger phrases from description + +**Issue:** Unexpected results +**Solution:** Check input format and context + +## See Also + +- Main SKILL.md for full documentation +- scripts/ for automation helpers +- assets/ for configuration examples diff --git a/skills/skill-adapter/scripts/README.md b/skills/skill-adapter/scripts/README.md new file mode 100644 index 0000000..e306539 --- /dev/null +++ b/skills/skill-adapter/scripts/README.md @@ -0,0 +1,8 @@ +# Scripts + +Bundled resources for liquidity-pool-analyzer skill + +- [ ] analyze_pool.py: Script to execute the liquidity pool analysis based on user input and API calls. +- [ ] compare_pools.py: Script to compare multiple liquidity pools based on various metrics. +- [ ] il_calculator.py: Script to calculate impermanent loss based on pool parameters. +- [ ] fetch_pool_data.py: Script to fetch real-time data from various DeFi protocols (Uniswap, Curve, etc.). diff --git a/skills/skill-adapter/scripts/helper-template.sh b/skills/skill-adapter/scripts/helper-template.sh new file mode 100755 index 0000000..c4aae90 --- /dev/null +++ b/skills/skill-adapter/scripts/helper-template.sh @@ -0,0 +1,42 @@ +#!/bin/bash +# Helper script template for skill automation +# Customize this for your skill's specific needs + +set -e + +function show_usage() { + echo "Usage: $0 [options]" + echo "" + echo "Options:" + echo " -h, --help Show this help message" + echo " -v, --verbose Enable verbose output" + echo "" +} + +# Parse arguments +VERBOSE=false + +while [[ $# -gt 0 ]]; do + case $1 in + -h|--help) + show_usage + exit 0 + ;; + -v|--verbose) + VERBOSE=true + shift + ;; + *) + echo "Unknown option: $1" + show_usage + exit 1 + ;; + esac +done + +# Your skill logic here +if [ "$VERBOSE" = true ]; then + echo "Running skill automation..." +fi + +echo "✅ Complete" diff --git a/skills/skill-adapter/scripts/validation.sh b/skills/skill-adapter/scripts/validation.sh new file mode 100755 index 0000000..590af58 --- /dev/null +++ b/skills/skill-adapter/scripts/validation.sh @@ -0,0 +1,32 @@ +#!/bin/bash +# Skill validation helper +# Validates skill activation and functionality + +set -e + +echo "🔍 Validating skill..." + +# Check if SKILL.md exists +if [ ! -f "../SKILL.md" ]; then + echo "❌ Error: SKILL.md not found" + exit 1 +fi + +# Validate frontmatter +if ! grep -q "^---$" "../SKILL.md"; then + echo "❌ Error: No frontmatter found" + exit 1 +fi + +# Check required fields +if ! grep -q "^name:" "../SKILL.md"; then + echo "❌ Error: Missing 'name' field" + exit 1 +fi + +if ! grep -q "^description:" "../SKILL.md"; then + echo "❌ Error: Missing 'description' field" + exit 1 +fi + +echo "✅ Skill validation passed"