Skill 07 token analytics

Skill vaquarkhan/web3-agent-skills/skills/skill-07-token-analytics

Production-grade Agent Skills for Web3 AI agents: 15 workflows, 6 MCP servers, DeFi/NFT/compliance guardrails, and VS Code/JetBrains installers.

Install

npx -y skills add vaquarkhan/web3-agent-skills --skill skill-07-token-analytics

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Analyzes on-chain token data including whale tracking, DEX volume, wallet PnL, and token unlock schedules. Use when researching token metrics, portfolio performance, or market activity.

SKILL.md

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Token Analytics

When to Use

Tracking whale wallet movements
Analyzing DEX trading volume and liquidity
Calculating wallet profit/loss (PnL)
Monitoring token unlock/vesting schedules
Identifying smart money flows

Prerequisites

MCP: blockchain-rpc-server, defi-protocol-server, price-feed-server
Optional: Dune Analytics, Nansen, Arkham APIs

Workflow

1. Whale Tracking

Define whale threshold (e.g., > 0.1% of supply or > $1M holdings)
Query top holders via explorer API or eth_call on token contract
Monitor large transfers via event logs (Transfer topic)
Alert on exchange inflows (potential sell pressure)

2. DEX Volume

Pull 24h volume from subgraph (Uniswap, Curve) via defi-protocol-server
Compare CEX vs DEX volume for price discovery quality
Track unique traders and buy/sell ratio

3. Wallet PnL

Realized PnL = Σ(sell proceeds) - Σ(buy cost basis for sold tokens)
Unrealized PnL = current value - remaining cost basis

Index wallet Transfer events for target token
Apply FIFO or specific-lot cost basis method
Fetch historical prices from price-feed-server
Account for gas costs and bridge fees

4. Unlock Schedules

Parse vesting contracts (linear, cliff, milestone)
Cross-reference with token allocations (team, investors, community)
Flag upcoming unlocks > 1% of circulating supply

Data Sources

Source	Data
The Graph	DEX trades, LP events, lending
CoinGecko	Market cap, price history
Etherscan	Holder distribution, contract events
Token unlocks APIs	Vesting calendars

Output Format

Present analytics with:

Time range and data freshness timestamp
Methodology (cost basis method, price source)
Confidence level for incomplete data