0x-wzw/defi-analyst/SKILL.md
DeFi research and analysis via Tavily MCP, GeckoTerminal API, and DeFiLlama. Use for protocol research, TVL tracking, yield analysis, token discovery, and competitive landscape research.
npx skillsauth add openclaw/skills defi-analystInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Research DeFi protocols, track yields, analyze TVL trends, and monitor the competitive landscape.
mcporter config add tavily https://mcp.tavily.com/mcp/?tavilyApiKey=<YOUR_KEY>
mcporter call tavily.tavily_search query="Aave V3 protocol overview yield lending" max_results=5 search_depth="advanced"
# Get protocol TVL
curl -s "https://api.llama.fi/protocol/aave" | jq '{name: .name, tvl: .tvl, change_1d: .change_1d, change_7d: .change_7d}'
# Top DeFi protocols by TVL
curl -s "https://api.llama.fi/tvl" | jq '.[0:10]'
# Lending rates overview
curl -s "https://api.llama.fi/overview/lending" | jq '.categories[0:10]'
# Pool data for a token
curl -s "https://api.geckoterminal.com/api/v2/networks/eth/tokens/0x.../info" | jq '{name, base_volume, quote_volume, pool_count}'
# Trending pools on a network
curl -s "https://api.geckoterminal.com/api/v2/networks/eth/pools" | jq '.[0:5] | .[].attributes | {pool: .name, volume_24h: .volume_usd.h24s, tvl: .tvl_usd}'
# Specific pool APY
curl -s "https://api.geckoterminal.com/api/v2/networks/bsc/pools/0x..." | jq '.data.attributes | {apy: .apy_7d, tvl: .tvl_usd}'
# Compare yields across DEXes
curl -s "https://api.llama.fi/overview/dex?exclude_bridge=true" | jq '.dexes[0:5]'
On top of classic candlestick patterns, pulls 24h volume delta, liquidity depth ratios, and cross DEX price variance. Output: {direction, confidence, key_levels}.
Aggregates social sentiment via Tavily ({token} sentiment today) + Moltbook agent network pulse. Output: sentiment score (-1 to +1) with weighted breakdown by source credibility.
Bull Agent → Tavily for bull cases + on-chain growth metrics.
Bear Agent → Tavily for risk factors + whale wallet outflows.
Synthesized output: {bull_probability, bear_probability, reconciled_direction, confidence}.
# 1. TVL + metrics
TVL=$(curl -s "https://api.llama.fi/protocol/your-protocol" | jq '.tvl')
# 2. Recent news via Tavily
mcporter call tavily.tavily_search query="protocol audit exploit update 2026" max_results=5
# 3. Competitor comparison
mcporter call tavily.tavily_search query="protocol vs aave vs compound defi" max_results=3
# Get all lending rates
curl -s "https://api.llama.fi/overview/lending" | jq '.categories[0:10]'
mcporter call tavily.tavily_search query="DeFi trends 2026 yield farming liquid staking real yield" max_results=10 search_depth="advanced"
tools
Use when the user wants to connect to, test, or use the McDonalds service at mcp.mcd.cn, including checking authentication, probing MCP endpoints, listing tools, or calling McDonalds MCP tools through a reusable local CLI.
development
Web scraping platform — Twitter/X data, Vinted marketplace, and general web scraping API
development
SlowMist AI Agent Security Review — comprehensive security framework for skills, repositories, URLs, on-chain addresses, and products (Claude Code version)
data-ai
去除中文文本中的 AI 写作痕迹,使其读起来自然。基于维基百科 AI 写作特征指南,检测 24 种 AI 模式。触发词:humanizer-cn、去除 AI 痕迹、去除 AI 写作痕迹、中文文本人性化。