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Whale Alert Monitor 鲸鱼监控 — 技能工具

v1.0.0

追踪加密货币巨鲸动向、大额转账预警、交易所资金流向分析。 当你想追踪聪明钱的每一步,监测大户交易行为时使用此技能。 已接入 SkillPay,每次调用 0.01 USDT。

0· 21·0 当前·0 累计
by @shenmeng·MIT-0
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License
MIT-0
最后更新
2026/4/11
安全扫描
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可疑
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OpenClaw
可疑
high confidence
The skill's code largely matches a whale-monitoring tool, but there are clear incoherences around billing (a hard-coded SkillPay API key + meta.json billing requirements) and undeclared environment/credential needs that could lead to secret exposure or unexpected charges.
评估建议
Key issues to consider before installing: - Do not assume 'no env vars required' — the code expects notification tokens and (per meta.json) SkillPay credentials. The skill will attempt network calls to external services and write config/history/log files locally. - Payment concern: payment.py contains a hard-coded billing API key. This is dangerous (secret leakage) and inconsistent with the expectation that SKILLPAY_API_KEY should be provided via environment. Ask the author to remove hard-coded...
详细分析 ▾
用途与能力
Name/description and the included scripts (whale_tracker, transfer_monitor, exchange_flow, holding_analyzer, monitor_daemon, alert_manager) are consistent with a whale-monitoring tool; however _meta.json declares mandatory SkillPay billing (api_key_env SKILLPAY_API_KEY, user_id_env SKILLPAY_USER_ID, required: true) while the registry metadata at the top lists no required env vars/primary credential — that mismatch is incoherent. Additionally payment.py hardcodes a billing API key instead of using the declared env var.
指令范围
SKILL.md instructs running the provided Python scripts and references notification env vars (TELEGRAM_BOT_TOKEN, TELEGRAM_CHAT_ID, DISCORD_WEBHOOK_URL), which is expected. But SKILL.md claims SkillPay billing per call while the runtime instructions do not describe how/when payment is enforced. The code contains payment.py with payment enforcement functions, yet the main monitoring scripts do not import or call payment.require_payment — another behavioural mismatch. Scripts also read/write local files (config.yaml, alert_configs.json, alert_history.json, whale_monitor.log) and send network requests to external endpoints (APIs, Telegram, Discord, SkillPay).
安装机制
No install spec (instruction-only) and no external download/install steps — lower install risk. The bundle includes Python scripts that will run locally; there are no remote archives or installers referenced. This is typical for a Python-based monitoring tool.
凭证需求
The package uses many environment variables in practice (TELEGRAM_BOT_TOKEN, TELEGRAM_CHAT_ID, DISCORD_WEBHOOK_URL, CUSTOM_WEBHOOK_URL, SKILLPAY_USER_ID, etc.) but the skill registry metadata claims none are required. Worse: payment.py contains a hard-coded SkillPay API key string (BILLING_API_KEY), contradicting the meta.json which names SKILLPAY_API_KEY as the env var and marks payment as required. Hard-coded API keys and undeclared env requirements are disproportionate and risky.
持久化与权限
The skill does not request 'always: true' and does not modify other skills. It writes logs and several local files (config.yaml, alert_configs.json, alert_history.json, whale_monitor.log) and will make outbound network calls — expected for a monitoring daemon but worth noting because it creates persistent local artifacts and contacts external endpoints.
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

latestv1.0.02026/4/11

Whale Alert Monitor 1.0.0 – Initial Release - Track crypto whale activities and monitor large on-chain transactions across multiple chains. - Set custom thresholds for alerts and receive notifications via Telegram, Discord, or Webhook. - Analyze exchange fund flows and wallet holding changes, including unrealized P/L. - Manage and review alert history with graded alert levels and cooldown mechanism. - Includes scripts and sample configs for quick start and advanced monitoring workflows. - Integrated with SkillPay; each use costs 0.01 USDT.

● 可疑

安装命令 点击复制

官方npx clawhub@latest install shenmeng-whale-alert-monitor-batch3-final
镜像加速npx clawhub@latest install shenmeng-whale-alert-monitor-batch3-final --registry https://cn.clawhub-mirror.com

技能文档

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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