Agent skill

Defi Yield

by LeoYeAI in LeoYeAI/openclaw-master-skills

DeFi 收益聚合器(Yield Aggregator)助手。帮助用户找到最佳收益策略、 分析各协议 APY、执行自动复投、追踪仓位收益。

MITAuto-check passedBusiness, Finance & HR

Install Defi Yield

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill defi-yield -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills defi-yield --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/shenmeng-defi-yield .claude/skills/defi-yield && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
defi-yield
GitHub stars
2.2k
Token cost
~3.6k tokens
SKILL.md length
257 words
Files
4 (incl. scripts)
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

DeFi 收益聚合器(Yield Aggregator)助手。帮助用户找到最佳收益策略、 分析各协议 APY、执行自动复投、追踪仓位收益。

  • Works in 4 steps: 确认用户资产类型:稳定币 / ETH / BTC / 山寨币 → 确认链偏好和风险承受能力 → 查询各协议对应 Vault APY → …
  • Tasks that involve Crypto and DeFi analysis
  • SKILL.md covers 概述, 核心概念, 主流收益聚合协议 and 工具, plus 4 more sections
  • Runs Python scripts from its folder; reaches yearn.vision and api.beefy.finance

What it does

Defi Yield is an agent skill from LeoYeAI/openclaw-master-skills. DeFi 收益聚合器(Yield Aggregator)助手。帮助用户找到最佳收益策略、 分析各协议 APY、执行自动复投、追踪仓位收益。 当用户提到以下内容时激活: - "收益聚合"、"DeFi 收益"、"撸收益" - "Yearn Finance"、"Beefy Finance"、"Pendle"、"Gamma" - "APY 查询"、"哪个池子收益最高"、"收益策略" - "自动复投"、"流动性挖矿"、"收益农场" - "质押收益"、"LP 收益"、"稳定币收益" - 查询 APY、对比收益、分析风险、执行操作

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `_meta.json`, `scripts/apy_checker.py` and `scripts/yield_optimizer.py`).

It sits in Business, Finance & HR, covering Crypto and DeFi analysis. It works with Arbitrum and Ethereum. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • Tasks that involve Crypto and DeFi analysis

Example prompts

  • “DeFi 收益”
  • “Yearn Finance”
  • “Beefy Finance”
  • “/defi-yield”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. 确认用户资产类型:稳定币 / ETH / BTC / 山寨币
  2. 确认链偏好和风险承受能力
  3. 查询各协议对应 Vault APY
  4. 输出对比表 + 建议

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • yearn.vision
    • api.beefy.finance
    • api.pendle.finance
    • eth.llamarpc.com

    Also links to:

    • yearn.finance
    • beefy.finance
    • pendle.finance
    • gamma.xyz
    • defillama.com
    • dune.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Defi Yield loads about 3.6k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 257 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 257 words, ~3,593 tokens.

Download SKILL.mdSave it as .claude/skills/defi-yield/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
defi-yield
description
DeFi 收益聚合器(Yield Aggregator)助手。帮助用户找到最佳收益策略、 分析各协议 APY、执行自动复投、追踪仓位收益。 当用户提到以下内容时激活: - "收益聚合"、"DeFi 收益"、"撸收益" - "Yearn Finance"、"Beefy Finance"、"Pendle"、"Gamma" - "APY 查询"、"哪个池子收益最高"、"收益策略" - "自动复投"、"流动性挖矿"、"收益农场" - "质押收益"、"LP 收益"、"稳定币收益" - 查询 APY、对比收益、分析风险、执行操作

DeFi Yield Aggregator Skill

概述

收益聚合器(Yield Aggregator)是 DeFi 中的自动理财协议,核心逻辑:

用户入金 → 协议自动分配到最高收益池子 → 收益自动复投 → 用户受益

相比手动收益耕种的优势:

  • 自动复利(收益再投资,省 Gas)
  • 策略由专业团队维护(Yearn 等)
  • 智能路由(自动切换到收益最高的池子)

核心概念

术语含义
APY年化收益率(含复利效应)
APR年化收益率(不含复利)
TVLTotal Value Locked,锁仓量
Vault收益池,用户存入资产、协议自动操作
Auto-compounding自动复利,收益自动再质押
Delta Neutral三角中性,对冲风险策略
Leverage / 杠杆借款放大收益(同时放大风险)
ILImpermanent Loss,无常损失

主流收益聚合协议

🥇 Yearn Finance(以太坊)
项目信息
官网yearn.finance
链Ethereum、Arbitrum、Polygon、Fantom
特点主动策略 Vault(yVaults),顶级安全性
代币YFI(治理代币)
APY 来源yearn.finance/vaults
🥈 Beefy Finance(多链)
项目信息
官网beefy.finance
链50+ 条链(BSC/ETH/Polygon/Arbitrum等)
特点多链覆盖,收益 Vault 数量最多
代币BIFI
APY 来源beefy.finance/vaults
🥉 Pendle Finance(创新)
项目信息
官网pendle.finance
链Ethereum、Arbitrum、BSC
特点收益代币化(PT / YT),可锁定未来收益
适合预期利率下降,想提前锁定高收益
🏅 Gamma Strategies(Gamma)
项目信息
官网gamma.xyz
链Ethereum、Polygon
特点Uniswap V3 流动性管理,专攻 LP 收益
适合想做市但不想主动管理 LP 仓位
🏅 Stargate(跨链)
项目信息
官网stargate.finance
链多链
特点跨链稳定币桥 + 收益池
适合稳定币跨链 + 收益双赢
其他常见协议
协议特点
Convex FinanceCVX 生态,专注 Curve 收益
Aura FinanceBalancer 收益聚合
Gearbox杠杆收益协议
RokenLido rETH 质押收益增强
Eigenlayer再质押(Restaking)收益

工具

API / Web 抓取

  • extract_content_from_websites — 抓取 Yearn / Beefy / Pendle 等官方 APY 数据
  • batch_web_search — 搜索最新收益策略、协议动态

Python 脚本

  • scripts/apy_checker.py — 批量查询多协议 APY
  • scripts/position_tracker.py — 追踪钱包在各协议中的仓位和收益
  • scripts/yield_optimizer.py — 收益对比分析,优化建议

工作流程

场景一:查询最佳 APY
  1. 确认用户资产类型:稳定币 / ETH / BTC / 山寨币
  2. 确认链偏好和风险承受能力
  3. 查询各协议对应 Vault APY
  4. 输出对比表 + 建议

操作步骤:

1. 使用 apy_checker.py 拉取 Yearn / Beefy / Gamma 等协议 APY
2. 对比稳定币收益(USDC/USDT/DAI)
3. 考虑 Gas 成本(以太坊主网 vs L2)
4. 提示无常损失风险和流动性限制
5. 给出最优策略建议
场景二:收益策略分析

根据用户持仓类型推荐策略:

稳定币(USDC/USDT/DAI):

最优:Yearn yUSDC Vault / Beefy USDC Vault
APY 范围:3%~15%(根据市场情况)
风险:低(单币池,无 IL)
注意:Gas 成本要低于收益
推荐链:Arbitrum / Polygon(低 Gas)

ETH 生态:

方案A:直接质押 Lido → 4~5% APY(安全稳定)
方案B:stETH 在 Curve/Yearn 循环LP → 5~10% APY
方案C:Yearn ETH Vault → 自动策略
风险:ETH 波动 + IL

BTC 生态:

方案A:WBTC 存入 BitBTC -> 4~6% APY
方案B:Curve wBTC/renBTC 池
风险:BTC 波动
场景三:仓位追踪
  1. 用户提供钱包地址
  2. 调用 position_tracker.py 扫描
  3. 输出各协议的资产分布 + 估算收益
  4. 提示未领取奖励情况

常用脚本

脚本 1:APY 批量查询

文件:scripts/apy_checker.py

python
#!/usr/bin/env python3
"""
DeFi APY 批量查询器
查询 Yearn、Beefy、Pendle 等主流协议的 APY 数据
"""
import requests
import json
from dataclasses import dataclass
from typing import List, Optional

@dataclass
class VaultInfo:
    protocol: str
    chain: str
    asset: str
    vault_address: str
    apy: float  # percentage
    tvl_usd: float
    has_reward_token: bool = False
    reward_apy: float = 0.0

def query_yearn_vaults() -> List[VaultInfo]:
    """查询 Yearn Finance Vaults"""
    url = "https://yearn.vision/vaults"
    results = []
    try:
        resp = requests.get(url, timeout=10)
        data = resp.json()
        for vault in data.get("data", [])[:20]:
            results.append(VaultInfo(
                protocol="Yearn",
                chain=vault.get("chain", "ethereum"),
                asset=vault.get("symbol", "").replace("yv", "").upper(),
                vault_address=vault.get("address", ""),
                apy=float(vault.get("apy", {}).get("net_apy", 0) or 0) * 100,
                tvl_usd=float(vault.get("tvl", {}).get("tvl", 0) or 0),
            ))
    except Exception as e:
        print(f"Yearn API 失败: {e}")
    return results

def query_beefy_vaults(asset: str = "") -> List[VaultInfo]:
    """查询 Beefy Finance Vaults"""
    url = "https://api.beefy.finance/vaults"
    results = []
    try:
        resp = requests.get(url, timeout=10)
        data = resp.json()
        for vault in data:
            if asset and asset.upper() not in vault.get("token", "").upper():
                continue
            results.append(VaultInfo(
                protocol="Beefy",
                chain=vault.get("chain", ""),
                asset=vault.get("token", ""),
                vault_address=vault.get("earnContractAddress", ""),
                apy=float(vault.get("apy", 0) or 0) * 100,
                tvl_usd=float(vault.get("tvl", 0) or 0),
            ))
    except Exception as e:
        print(f"Beefy API 失败: {e}")
    return results

def query_pendle_markets() -> List[VaultInfo]:
    """查询 Pendle Finance 市场"""
    url = "https://api.pendle.finance/vip/data/api/v1/markets"
    results = []
    headers = {"Accept": "application/json"}
    try:
        resp = requests.get(url, headers=headers, timeout=10)
        data = resp.json().get("data", []) if isinstance(resp.json(), dict) else resp.json()
        for m in data[:10]:
            results.append(VaultInfo(
                protocol="Pendle",
                chain="ethereum",
                asset=m.get("underlyingAsset", ""),
                vault_address=m.get("address", ""),
                apy=float(m.get("apy", 0) or 0),
                tvl_usd=float(m.get("tvlUsd", 0) or 0),
            ))
    except Exception as e:
        print(f"Pendle API 失败: {e}")
    return results

def format_results(vaults: List[VaultInfo], top_n: int = 10):
    """格式化输出"""
    # 排序
    sorted_vaults = sorted(vaults, key=lambda x: x.apy, reverse=True)
    print(f"\n{'协议':<10} {'链':<10} {'资产':<12} {'APY':>8} {'TVL($)':>14}")
    print("-" * 60)
    for v in sorted_vaults[:top_n]:
        apy_str = f"{v.apy:.2f}%" if v.apy > 0 else "N/A"
        tvl_str = f"${v.tvl_usd:,.0f}" if v.tvl_usd > 0 else "N/A"
        print(f"{v.protocol:<10} {v.chain:<10} {v.asset:<12} {apy_str:>8} {tvl_str:>14}")

if __name__ == "__main__":
    import argparse
    parser = argparse.ArgumentParser(description="DeFi APY 查询器")
    parser.add_argument("--asset", "-a", default="", help="过滤资产,如 USDC、ETH")
    parser.add_argument("--top", "-n", type=int, default=10, help="显示前 N 名")
    args = parser.parse_args()

    print("=" * 60)
    print("  DeFi APY 查询器")
    print("=" * 60)

    all_vaults = []
    all_vaults += query_yearn_vaults()
    all_vaults += query_beefy_vaults(args.asset)

    if all_vaults:
        format_results(all_vaults, args.top)
    else:
        print("未获取到数据,请检查网络")
脚本 2:仓位追踪器

文件:scripts/position_tracker.py

python
#!/usr/bin/env python3
"""
DeFi 仓位追踪器
查询钱包在各收益协议中的持仓和累计收益

用法:
  export WALLET=0xYourAddress
  python3 scripts/position_tracker.py
"""
import os
import requests
from web3 import Web3
from dataclasses import dataclass
from typing import Dict, List

WALLET = os.getenv("WALLET", "0x0000000000000000000000000000000000000000")

# 常用协议 Vault 地址(部分)
KNOWN_VAULTS = {
    "yearn": {
        "name": "Yearn Finance",
        "vaults": {
            "0x5f18C75AbDAe578b477E319BcA4F55eFEF2eF892": "yUSDC",
            "0xa354F3587Ae0fB13C52e4873BCCC4767C8eFc2D9": "yUSDT",
            "0x8d0C6B68D3E1D2d8f2d0D3F9d5E3f2E8D2E1E0E1": "yDAI",
        }
    },
    "beefy": {
        "name": "Beefy Finance",
        "vaults": {
            "0x0000000000000000000000000000000000000000": "beUSDC",
        }
    }
}

@dataclass
class Position:
    protocol: str
    vault: str
    asset: str
    balance: float
    value_usd: float
    apy: float
    pending_rewards: float = 0.0

def get_token_balance(w3: Web3, token_addr: str, wallet: str) -> float:
    """查询 Token 余额"""
    erc20_abi = [
        {
            "inputs": [{"name": "account", "type": "address"}],
            "name": "balanceOf",
            "outputs": [{"name": "", "type": "uint256"}],
            "stateMutability": "view",
            "type": "function"
        },
        {
            "inputs": [],
            "name": "decimals",
            "outputs": [{"name": "", "type": "uint8"}],
            "stateMutability": "view",
            "type": "function"
        },
        {
            "inputs": [],
            "name": "symbol",
            "outputs": [{"name": "", "type": "string"}],
            "stateMutability": "view",
            "type": "function"
        }
    ]
    try:
        contract = w3.eth.contract(address=Web3.to_checksum_address(token_addr), abi=erc20_abi)
        bal = contract.functions.balanceOf(Web3.to_checksum_address(wallet)).call()
        decimals = contract.functions.decimals().call()
        return bal / (10 ** decimals)
    except Exception:
        return 0.0

def estimate_yearn_position(vault_addr: str, wallet: str, rpc_url: str) -> Optional[Position]:
    """估算 Yearn Vault 仓位"""
    w3 = Web3(Web3.HTTPProvider(rpc_url))
    if not w3.is_connected():
        return None
    balance = get_token_balance(w3, vault_addr, wallet)
    if balance <= 0:
        return None
    return Position(
        protocol="Yearn",
        vault=vault_addr[:10] + "...",
        asset="Vault Share",
        balance=balance,
        value_usd=balance * 1.0,  # 简化估算
        apy=0.0,
    )

def main():
    if WALLET.startswith("0x000"):
        print("⚠️ 请设置钱包地址:")
        print("   export WALLET=0xYourAddress")
        print("   python3 scripts/position_tracker.py")
        return

    print(f"🔍 扫描地址: {WALLET}")
    print("-" * 50)

    rpc = "https://eth.llamarpc.com"
    positions: List[Position] = []

    # 扫描 Yearn
    print("\n📊 Yearn Vaults...")
    for addr, name in KNOWN_VAULTS["yearn"]["vaults"].items():
        pos = estimate_yearn_position(addr, WALLET, rpc)
        if pos:
            positions.append(pos)
            print(f"   ✅ {name}: {pos.balance:.4f} shares (≈${pos.value_usd:.2f})")

    if not positions:
        print("   📭 未发现已知的 Yearn 仓位")

    print("\n📊 Beefy Finance...")
    print("   (需要 Beefy API,建议直接在 beefy.finance 钱包连接查看)")

    print("\n" + "=" * 50)
    total_value = sum(p.value_usd for p in positions)
    total_apy = sum(p.apy * p.value_usd for p in positions) / max(total_value, 1)
    print(f"\n💰 累计 TVL: ${total_value:,.2f}")
    print(f"📈 加权 APY: {total_apy:.2f}%")

if __name__ == "__main__":
    main()
脚本 3:收益优化建议器

文件:scripts/yield_optimizer.py

python
#!/usr/bin/env python3
"""
DeFi 收益优化建议器
根据用户资产和风险偏好,推荐最佳收益策略
"""
from dataclasses import dataclass
from typing import List, Optional

@dataclass
class Strategy:
    protocol: str
    vault_name: str
    asset: str
    chain: str
    apy: float
    min_deposit: float
    risk_level: str  # low / medium / high
    il_risk: bool
    lockup: bool
    notes: str

STRATEGIES = [
    # 稳定币
    Strategy("Yearn", "yUSDC", "USDC", "Ethereum", 4.5, 0, "low", False, False, "安全首选,TVL 高"),
    Strategy("Yearn", "yUSDC", "USDC", "Arbitrum", 6.2, 0, "low", False, False, "L2 低 Gas,APY 更高"),
    Strategy("Beefy", "USDC", "USDC", "Polygon", 5.8, 0, "low", False, False, "Polygon 低费用"),
    Strategy("Beefy", "USDT", "USDT", "Arbitrum", 7.1, 0, "medium", False, False, "APY 较高"),
    Strategy("Curve", "3pool", "USDT/USDC/DAI", "Ethereum", 3.2, 1000, "low", False, False, "主流稳定币池"),
    Strategy("Convex", "3pool", "USDC", "Ethereum", 4.8, 10, "low", False, False, "Curve + CVX 叠加收益"),
    # ETH
    Strategy("Lido", "stETH", "ETH", "Ethereum", 4.3, 0, "low", False, False, "最安全的 ETH 质押"),
    Strategy("Yearn", "yETH", "ETH", "Ethereum", 5.1, 0, "medium", True, False, "自动策略,有 IL"),
    Strategy("Rocket Pool", "rETH", "ETH", "Ethereum", 4.6, 0.1, "low", False, False, "去中心化,比 Lido 收益略高"),
    Strategy("Gearbox", "dGEAR", "ETH", "Ethereum", 15.0, 0.5, "high", True, True, "杠杆策略,风险高"),
    # BTC
    Strategy("Curve", "renBTC/wBTC", "WBTC", "Ethereum", 2.1, 0.01, "medium", True, False, "BTC 稳定对,有 IL"),
    Strategy("Yearn", "yWBTC", "WBTC", "Arbitrum", 4.8, 0, "medium", True, False, "Yearn 托管,省 Gas"),
]

def optimize(asset: str, risk: str = "low", min_apy: float = 0) -> List[Strategy]:
    """根据条件过滤策略"""
    results = []
    for s in STRATEGIES:
        if asset.lower() not in s.asset.lower():
            continue
        if risk == "low" and s.risk_level not in ("low",):
            continue
        if risk == "medium" and s.risk_level == "high":
            continue
        if s.apy < min_apy:
            continue
        results.append(s)
    return sorted(results, key=lambda x: x.apy, reverse=True)

if __name__ == "__main__":
    import argparse
    parser = argparse.ArgumentParser(description="DeFi 收益优化建议")
    parser.add_argument("--asset", "-a", default="USDC", help="资产类型")
    parser.add_argument("--risk", "-r", default="low", choices=["low", "medium", "high"], help="风险等级")
    parser.add_argument("--min-apy", "-m", type=float, default=0, help="最低 APY 要求")
    args = parser.parse_args()

    print("=" * 60)
    print(f"  收益优化建议 | 资产: {args.asset} | 风险: {args.risk}")
    print("=" * 60)

    results = optimize(args.asset, args.risk, args.min_apy)
    if not results:
        print("\n未找到符合条件的策略")
    for s in results[:5]:
        print(f"\n🏦 {s.protocol} - {s.vault_name}")
        print(f"   资产: {s.asset} | 链: {s.chain}")
        print(f"   APY: {s.apy:.2f}% | 风险: {s.risk_level.upper()}")
        print(f"   IL 风险: {'⚠️ 有' if s.il_risk else '✅ 无'} | 锁仓: {'⏱️ 有' if s.lockup else '✅ 无'}")
        print(f"   备注: {s.notes}")

风险提示 ⚠️

风险类型说明防范
无常损失 (IL)流动性池中资产价格波动导致损失优先选单币池(无 IL)
智能合约漏洞协议被攻击导致资金损失选择经过审计的知名协议
** Rug Pull**流动性突撤导致亏损检查 TVL 和团队背景
Gas 成本L2 收益高但波动大计算净收益(扣 Gas 后)
预言机操纵价格数据被操纵选择有 TWAP 保护的协议
流动性不足提取时池子没足够流动性选择高 TVL 协议

参考链接

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts) in skills/shenmeng-defi-yield of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • _meta.json
  • scripts/apy_checker.py
  • scripts/yield_optimizer.py

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Defi Yield next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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L2saustintgriffith/ethskills295—~3.7kAutomated safety check: PassNone
Aomi Transactsickn33/agentic-awesome-skills47k1 repos~2.3kAutomated safety check: PassMIT

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Questions about Defi Yield

What does Defi Yield do?

DeFi 收益聚合器(Yield Aggregator)助手。帮助用户找到最佳收益策略、 分析各协议 APY、执行自动复投、追踪仓位收益。. Defi Yield is an agent skill from LeoYeAI/openclaw-master-skills.

When should I use Defi Yield?

Defi Yield fits situations like: tasks that involve Crypto and DeFi analysis.

How do I install Defi Yield in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill defi-yield -a claude-code`. Or copy the skill folder (skills/shenmeng-defi-yield in LeoYeAI/openclaw-master-skills) into .claude/skills/defi-yield in your project. Claude Code loads it when a task matches its description.

How do I install Defi Yield in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill defi-yield -a codex`. Or copy the skill folder (skills/shenmeng-defi-yield in LeoYeAI/openclaw-master-skills) into .agents/skills/defi-yield in your project. Codex loads it when a task matches its description.

Can I use Defi Yield in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill defi-yield -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/defi-yield, .gemini/skills/defi-yield, .github/skills/defi-yield and .opencode/skills/defi-yield in your project.

What does Defi Yield need to run?

Going by SKILL.md and its folder, Defi Yield needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Defi Yield access the network?

SKILL.md names 10 domains. In commands or code: yearn.vision, api.beefy.finance, api.pendle.finance and eth.llamarpc.com; the agent is likely to contact these when it follows the instructions. As links in the text: yearn.finance, beefy.finance, pendle.finance, gamma.xyz, defillama.com and dune.com. This is read from the text; nothing was executed.

Is Defi Yield safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Defi Yield use?

Defi Yield is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Defi Yield use?

About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Defi Yield?

Skills that share tags, products or a category with Defi Yield: Swapper Deposit (swapperfinance/swapper-toolkit, 852 stars), Surf (BlockRunAI/ClawRouter, 6.6k stars), Building Blocks (austintgriffith/ethskills, 295 stars) and L2s (austintgriffith/ethskills, 295 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Defi Yield?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,160 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.