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Whale Alert Monitor 大户监控 — 技能工具

v1.0.0

虚拟币大户账户预警监测助手 - 实时监控鲸鱼钱包动向、大额转账、交易所资金流向。 当用户需要以下功能时触发此skill: (1) 监控特定大户/鲸鱼钱包的交易活动 (2) 追踪大额资金流入/流出交易所 (3) 设置自定义阈值的大额转账预警 (4) 分析鲸鱼持仓变化和积累/派发模式 (5) 接收Telegram/D...

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by @shenmeng·MIT-0
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License
MIT-0
最后更新
2026/4/5
安全扫描
VirusTotal
可疑
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OpenClaw
可疑
high confidence
The skill's code and metadata contain multiple inconsistencies and at least one embedded secret (hardcoded billing API key); the implementation also simulates chain data rather than performing the real-time on‑chain monitoring promised — review before installing or providing credentials.
评估建议
This skill claims to provide real-time whale monitoring but the shipped code mostly uses simulated data and does not actually integrate with the on‑chain APIs described in the docs. Notable concerns: - payment.py embeds a long hardcoded billing API key (BILLING_API_KEY) and calls https://skillpay.me. A credential in source is unexpected and risky — it could be abused or indicate sloppy secret handling. Ask the author to remove the hardcoded key and explain how billing is intended to work. Do no...
详细分析 ▾
用途与能力
The name/description promise real-time, multi-source on‑chain monitoring and notifications, but the included scripts largely generate simulated/random data (fetch_* functions use random generators) rather than integrating with the recommended APIs. The SKILL.md and references describe Etherscan/Alchemy/Moralis usage and environment keys, yet the runtime code does not actually require or use those keys. Additionally, _meta.json declares SkillPay-related env vars as required while the code embeds a hardcoded billing API key — these are inconsistent with the declared requirements.
指令范围
SKILL.md instructs running local Python scripts and using env vars (TELEGRAM_BOT_TOKEN, DISCORD_WEBHOOK_URL, etc.). The code reads/writes local files (alert_configs.json, alert_history.json, config.yaml, whale_monitor.log) and will send notifications to Telegram/Discord/webhook endpoints if configured. That behavior matches the stated purpose, but the guiding docs reference external APIs for live chain data while the code uses simulated data; this is scope misrepresentation. The billing behavior (SkillPay) is present in payment.py but not consistently enforced across scripts.
安装机制
No external install spec (no network downloads). The skill ships full Python scripts. There is no installer; risk comes from running included code. Dependencies (requests, pyyaml, etc.) are used by the scripts but not declared in metadata or SKILL.md, so users may be surprised by missing packages. No arbitrary downloads or obfuscated installers were found.
凭证需求
The SKILL.md/reference docs list many API keys (ETHERSCAN_API_KEY, ALCHEMY_API_KEY, MORALIS_API_KEY, TELEGRAM/Discord secrets). _meta.json states SkillPay env vars (SKILLPAY_API_KEY, SKILLPAY_USER_ID) are required. In practice, the runtime code: - reads TELEGRAM_BOT_TOKEN / TELEGRAM_CHAT_ID and DISCORD_WEBHOOK_URL from env for notifications (expected), - uses a hardcoded BILLING_API_KEY constant inside payment.py (a long secret is embedded in source), and - does not actually consume SKILLPAY_API_KEY env var despite metadata claiming it required. Asking for multiple secrets is plausible for this domain, but the hardcoded billing key and mismatches between declared required env vars and actual usage are disproportionate and suspicious.
持久化与权限
The skill does not request always:true or system-wide privileges. It writes local files (config.yaml, alert_history.json, alert_configs.json, whale_monitor.log) in the working directory and runs as a user process — behavior consistent with a monitoring tool. It does not modify other skills' configs or escalate privileges.
安全有层次,运行前请审查代码。

License

MIT-0

可自由使用、修改和再分发,无需署名。

运行时依赖

无特殊依赖

版本

latestv1.0.02026/4/5

Whale Alert Monitor 1.0.0 初始版本上线 - 实现对虚拟币大户(鲸鱼)钱包的实时监控与多维度预警 - 支持追踪大额转账、交易所资金流向、持仓变化等多种链上行为 - 提供自定义阈值、分级预警和冷却机制,防止重复通知 - 集成Telegram、Discord等渠道即时推送预警 - 覆盖以太坊、BSC、Arbitrum等主流公链 - 详细命令行脚本与配置说明,支持自定义监控方案

● 可疑

安装命令 点击复制

官方npx clawhub@latest install shenmeng-whale-alert-monitor-v4
镜像加速npx clawhub@latest install shenmeng-whale-alert-monitor-v4 --registry https://cn.clawhub-mirror.com

技能文档

💰 本 Skill 已接入 SkillPay 付费系统
- 每次调用费用:0.01 USDT
- 支付方式:BNB Chain USDT
- 请先确保账户有足够余额

虚拟币大户账户预警监测助手 — 追踪聪明钱的每一步

核心能力

1. 鲸鱼钱包监控

  • 地址追踪 - 监控特定钱包地址的所有链上活动
  • 标签系统 - 为已知大户添加标签(交易所、机构、鲸鱼)
  • 行为分析 - 识别积累、派发、洗盘等模式

2. 大额转账预警

  • 自定义阈值 - 设置ETH、BTC、USDT等代币的预警金额
  • 多链支持 - 支持以太坊、BSC、Arbitrum等主流链
  • 实时通知 - Telegram/Discord/Webhook多渠道推送

3. 交易所资金流向

  • 流入监控 - 检测大额资金转入交易所(潜在抛压)
  • 流出监控 - 检测资金从交易所流出(积累信号)
  • 净流量分析 - 计算交易所净流入/流出

4. 持仓变化分析

  • 余额追踪 - 监控钱包余额变化
  • 成本估算 - 估算鲸鱼持仓成本
  • 盈亏分析 - 追踪未实现盈亏

5. 预警管理

  • 分级预警 - 按金额分级(普通/重要/紧急)
  • 冷却机制 - 防止重复预警
  • 历史记录 - 保存所有预警历史

使用工作流

快速开始

# 1. 监控特定钱包
python scripts/whale_tracker.py --wallet 0x... --chain ethereum

# 2. 设置大额转账预警 python scripts/transfer_monitor.py --min-eth 1000 --notify telegram

# 3. 监控交易所流入流出 python scripts/exchange_flow.py --exchange binance --threshold 5000000

# 4. 分析鲸鱼持仓 python scripts/holding_analyzer.py --wallet 0x... --days 30

# 5. 启动全面监控 python scripts/monitor_daemon.py --config config.yaml

配置示例

# config/whale_monitor.yaml
monitoring:
  # 监控的钱包列表
  wallets:
    - address: "0x742d35Cc6634C0532925a3b8D4E6D3b6e8d3e8D3"
      label: "Smart Whale A"
      chains: [ethereum, arbitrum]
    - address: "0x8ba1f109551bD432803012645Hac136c82C3e8D3"
      label: "Institution B"
      chains: [ethereum]
  
  # 大额转账阈值
  thresholds:
    ETH: 1000
    WBTC: 50
    USDC: 1000000
    USDT: 1000000
  
  # 交易所监控
  exchanges:
    - name: binance
      addresses:
        - "0x3f5CE5FBFe3E9af3971dD833D26bA9b5C936f0bE"
      in_threshold: 5000000
      out_threshold: 5000000
    - name: coinbase
      addresses:
        - "0x71660c4005BA85c37ccec55d0C4493E66Fe775d3"
  
  # 通知设置
  notifications:
    telegram:
      enabled: true
      bot_token: ${TELEGRAM_BOT_TOKEN}
      chat_id: ${TELEGRAM_CHAT_ID}
    discord:
      enabled: true
      webhook_url: ${DISCORD_WEBHOOK_URL}
    
  # 检查间隔(秒)
  interval: 60

脚本说明

scripts/whale_tracker.py

追踪特定鲸鱼钱包的所有活动

# 基础用法
python scripts/whale_tracker.py --wallet 0x742d... --chain ethereum

# 查看历史交易 python scripts/whale_tracker.py --wallet 0x742d... --history --days 7

# 分析持仓变化 python scripts/whale_tracker.py --wallet 0x742d... --analyze

scripts/transfer_monitor.py

监控大额转账并发送预警

# 监控ETH大额转账
python scripts/transfer_monitor.py --token ETH --min-value 1000 --interval 60

# 监控USDT转账 python scripts/transfer_monitor.py --token USDT --min-value 1000000 --notify telegram

# 多链监控 python scripts/transfer_monitor.py --config thresholds.yaml

scripts/exchange_flow.py

监控交易所资金流向

# 监控币安
python scripts/exchange_flow.py --exchange binance --threshold 5000000

# 对比多个交易所 python scripts/exchange_flow.py --compare binance,coinbase,okx

# 生成流向报告 python scripts/exchange_flow.py --report --days 7

scripts/holding_analyzer.py

分析鲸鱼持仓和盈亏

# 分析持仓
python scripts/holding_analyzer.py --wallet 0x742d...

# 追踪成本基础 python scripts/holding_analyzer.py --wallet 0x742d... --cost-basis

# 生成持仓报告 python scripts/holding_analyzer.py --wallet 0x742d... --report

scripts/alert_manager.py

预警管理系统

# 列出所有预警
python scripts/alert_manager.py --list

# 测试预警通知 python scripts/alert_manager.py --test --channel telegram

# 导出预警历史 python scripts/alert_manager.py --export --since 2024-01-01

scripts/monitor_daemon.py

守护进程模式(持续监控)

# 启动监控
python scripts/monitor_daemon.py --config config.yaml

# 后台运行 python scripts/monitor_daemon.py --config config.yaml --daemon

# 停止监控 python scripts/monitor_daemon.py --stop

数据源

推荐API

数据源用途免费额度
Etherscan基础链上数据100K calls/day
Alchemy高级链上查询300M CU/month
Moralis跨链数据免费版可用
Arkham地址标签免费版有限制

交易所地址库

内置主要交易所的热钱包地址:

  • Binance
  • Coinbase
  • OKX
  • Bybit
  • KuCoin
  • Huobi
  • Bitfinex

预警级别

🔴 紧急 (Critical)

  • 单笔转账 > 10,000 ETH
  • 单笔转账 > 500 BTC
  • 单笔转账 > $50M USDT/USDC

🟠 重要 (Warning)

  • 单笔转账 > 1,000 ETH
  • 单笔转账 > 50 BTC
  • 单笔转账 > $10M USDT/USDC

🟡 普通 (Info)

  • 单笔转账 > 100 ETH
  • 单笔转账 > 5 BTC
  • 单笔转账 > $1M USDT/USDC

最佳实践

  • 设置合理的阈值 - 避免过多的噪音预警
  • 多源验证 - 结合多个数据源确认信号
  • 关注模式 - 不只看单笔交易,关注行为模式
  • 设置冷却时间 - 防止同一交易重复预警
  • 记录历史 - 追踪鲸鱼的历史准确率

风险提示

⚠️ 本工具仅供信息监控,不构成投资建议

  • 鲸鱼行为不代表市场方向
  • 大户可能分散在多个钱包
  • 交易所地址可能变更
  • 链上数据可能有延迟

高级功能

行为模式识别

# 识别积累模式
if balance_change > 0 and duration > 7_days:
    pattern = "accumulating"

# 识别派发模式 if balance_change < 0 and exchange_inflow > threshold: pattern = "distributing"

# 识别洗盘模式 if frequent_transfers and small_amounts: pattern = "wash_trading"

智能预警

# 只在特定条件下预警
if whale_score > 80 and token_safety > 70:
    send_alert()

追踪聪明钱,但要有自己的判断。

数据来源:ClawHub ↗ · 中文优化:龙虾技能库
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