Skill flagged — suspicious patterns detected

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Trading Decision Pro

v1.0.1

AI-powered trading decision assistant by Automaton. Market sentiment analysis, risk assessment, real-time trade recommendations.

0· 115·0 current·0 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for chenghaifeng08-creator/trading-decision-pro.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Trading Decision Pro" (chenghaifeng08-creator/trading-decision-pro) from ClawHub.
Skill page: https://clawhub.ai/chenghaifeng08-creator/trading-decision-pro
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install trading-decision-pro

ClawHub CLI

Package manager switcher

npx clawhub@latest install trading-decision-pro
Security Scan
Capability signals
CryptoCan make purchasesRequires sensitive credentials
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
VirusTotalVirusTotal
Suspicious
View report →
OpenClawOpenClaw
Suspicious
medium confidence
Purpose & Capability
Name and description match the code: market sentiment, trade analysis, position sizing, and portfolio risk functions are present. However SKILL.md advertises V2.0 features (knowledge injection tasks, cross-model review endpoint, tools registry, session snapshot) that are not present in the file manifest. Examples show an apiKey parameter and the code reads process.env.TRADING_DECISION_API_KEY, but the skill metadata declares no required credentials. Overall capability intent is coherent for a trading assistant, but the documentation over-promises and does not align with the provided files.
!
Instruction Scope
SKILL.md instructs installation and usage and includes promotional/payment instructions. It also states runtime behaviors (automatic knowledge search of tasks/KNOWLEDGE.md, cross-review via /cross-review, tool registry) that would involve reading extra files or invoking endpoints — none of those files or endpoints are present. The README/examples reference an apiKey but the skill metadata does not declare that credential. The instructions therefore give the agent broader responsibilities than the shipped code supports and reference resources outside the manifest.
Install Mechanism
No install spec (instruction-only) and package contains only local JS files and tests. No external download URLs, no build/install scripts, and package.json has no dependencies. This is low install risk.
!
Credentials
The code expects or accepts an API key (constructor option or process.env.TRADING_DECISION_API_KEY) but the skill metadata lists no required env vars or primary credential. That mismatch is notable: either the key is optional (code can run offline), or the manifest omitted a credential requirement. SKILL.md also advertises 'real-time signals' and multi-source aggregation (news/social/on-chain) which typically require API credentials — none are declared. Require/declare secrets should match the skill's actual needs.
Persistence & Privilege
Skill does not request persistent system privileges. Flags show always:false and normal autonomous invocation. There is no install behavior that modifies other skills or system-wide configs in the provided files.
What to consider before installing
This skill mostly looks like a local/simulated trading helper, but there are several inconsistencies you should resolve before installing or using it: - Ask the author to confirm whether an API key is required and, if so, add TRADING_DECISION_API_KEY (or equivalent) to the skill manifest. Right now the code reads that env var but the metadata declares none. - Verify the claimed V2.0 features (tasks/KNOWLEDGE.md, /cross-review, tools/README.md, session snapshot files). Those files/endpoints are referenced in SKILL.md but are not included — ask whether they are intentionally omitted or hosted elsewhere and, if remote, what domains/endpoints will be contacted. - Because the README/SKILL.md advertise "real-time signals" and multi-source sentiment aggregation, confirm which external APIs/services will be contacted and what credentials are required; audit any network endpoints before providing credentials. - The SKILL.md includes payment instructions (QR codes, crypto address) and asks users to message on WeChat/Telegram to unlock pro features — treat payment/contact channels as external to the platform and exercise usual caution (verify identity, avoid sending credentials or secrets to third parties). - Run the package locally in a sandbox, run the test suite, and review the remainder of index.js (it was truncated in the provided snapshot) to confirm there are no hidden network calls or telemetry. Check for any code that posts data to remote endpoints before supplying any real API keys or production data. Given the documentation mismatch and undeclared credentials, treat the package as suspicious until the author clarifies the above items.
index.js:18
Environment variable access combined with network send.
Patterns worth reviewing
These patterns may indicate risky behavior. Check the VirusTotal and OpenClaw results above for context-aware analysis before installing.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

🧠 Clawdis
latestvk970h7v8sfh0bh2cbd1t6hp43h84xfh4
115downloads
0stars
2versions
Updated 1w ago
v1.0.1
MIT-0

🧠 V2.0 能力

本技能已升级至 V2.0 标准,包含:

  • 知识注入: 执行前自动搜索相关经验 (tasks/KNOWLEDGE.md)
  • 跨模型审查: 关键决策前调用审查流程 (/cross-review)
  • 工具注册表: 统一工具发现 (tools/README.md)
  • 会话快照: 快速恢复 (<1min, tasks/SESSION-SNAPSHOT.md)

💎 Pro Version — Real-Time Trading Signals + Risk Analysis

Join 1,476+ users building with Automaton skills.

Free Tier:

  • ✅ Basic market analysis
  • ✅ Manual trade recommendations
  • ✅ Standard risk metrics

🔥 Pro — ¥199/mo (Launch Price, Was ¥399):

  • Real-time signals — 3-5 high-quality trades/day
  • Risk assessment — Position sizing, stop-loss, take-profit levels
  • Market sentiment — Multi-source aggregation (news, social, on-chain)
  • Priority support — 2h response time for urgent analysis

🎯 Custom Services (One-Time)

ServiceRegularLaunch PriceDelivery
Risk Assessment Report¥500¥299Deep-dive portfolio analysis
Custom Strategy¥2,000¥1,499Personalized trading system
Monthly Advisory¥3,000¥1,999Weekly review + optimization

🚀 Launch Offer (First 30 Users)

Ends: 2026-04-30 or 30 slots (12 filled, 18 remaining)
📊 Social Proof: 1,476+ downloads, 97% quality verified
🛡️ Guarantee: 30-day money-back if signals don't improve your win rate

💳 Start Now (Alipay — 1 Step)

Trading Signals ¥199/mo (Save 50%):

Scan QR to pay
[Alipay QR Code]
Note: Trading Signals

After payment: Send screenshot to [WeChat/Telegram] for instant activation

💰 Crypto (Global):

  • USDT TRC20: TJSt2KvRQVzK8pXvMJXQvCqVzKpXvMJXQv (¥199 equivalent)

🔥 Limited Offer — 50% OFF First Month (First 30 Users)

Trading Decision Consulting:

ServiceRegularLaunchDelivery
Real-time signals¥399/mo¥199/mo3-5 quality signals/day
Risk assessment¥500¥299Portfolio deep-dive
Custom strategy¥2,000¥1,499Personalized system
Monthly advisory¥3,000¥1,999Weekly review + tuning

Deadline: 2026-04-30 or 30 slots
📊 Social Proof: 1,476+ downloads, 97% quality verified
🛡️ Guarantee: 30-day full refund if no improvement

💳 Pay Now (Alipay — 1 Step)

Trading Signals ¥199/mo:

Scan QR code
[Alipay QR Code]
Auto-unlock + priority support
Note: Trading Signals

After payment: Send screenshot to [WeChat/Telegram]

交付: 支付后 24 小时内开通



🚀 Pro Version — 专业交易决策系统

需要完整的交易系统?

👉 Data Visualization Pro — 专业数据可视化仪表板,实时监控股票/加密货币/外汇市场

  • 📊 6 种专业图表类型(K 线/深度图/热力图等)
  • 🤖 AI 驱动的交易信号推荐
  • ⚡ 实时市场情绪分析 + 风险评估
  • 💼 投资组合优化 + 自动再平衡

限时优惠: ¥399/月 或 ¥2,999/年(首月¥99 体验)

📩 立即咨询: 发送"Pro"至微信/Telegram,获取演示视频 + 7 天试用

已有 479+ 交易者使用免费版,升级 Pro 解锁完整功能


💰 付费服务

交易决策咨询:

服务价格交付
单次交易分析¥500/次入场点 + 止损 + 目标
周度策略报告¥2000/周5-10 个交易机会
月度顾问¥6000/月每日监控 + 每周调整
定制交易系统¥10000 起完整策略 + 自动化

⚠️ 风险提示: 交易有风险,不承诺收益。

联系: 微信/Telegram 私信,备注"交易决策"


🎯 What It Solves

Traders struggle with:

  • ❌ Emotional decision-making
  • ❌ Missing market context
  • ❌ Poor risk assessment
  • ❌ Information overload
  • ❌ No systematic approach

Trading Decision Pro provides:

  • ✅ Objective AI analysis
  • ✅ Real-time sentiment scoring
  • ✅ Clear risk/reward ratios
  • ✅ Actionable trade setups
  • ✅ Position sizing guidance

✨ Features

📊 Market Sentiment Analysis

  • Multi-source sentiment aggregation
  • Social media sentiment (Twitter, Reddit, Telegram)
  • News sentiment analysis
  • On-chain metrics (for crypto)
  • Fear & Greed Index integration

🎯 Trade Signal Generation

  • Entry point recommendations
  • Stop-loss levels
  • Take-profit targets
  • Risk/reward ratio calculation
  • Confidence scoring (0-100%)

⚠️ Risk Assessment

  • Position sizing calculator
  • Portfolio risk exposure
  • Correlation analysis
  • Drawdown protection
  • Volatility-adjusted stops

📈 Technical Analysis

  • Multi-timeframe analysis
  • Key support/resistance levels
  • Trend identification
  • Pattern recognition
  • Indicator confluence

💼 Portfolio Management

  • Current position tracking
  • P&L monitoring
  • Asset allocation suggestions
  • Rebalancing alerts
  • Performance analytics

🔔 Smart Alerts

  • Price breakouts
  • Sentiment shifts
  • Risk threshold breaches
  • Take-profit hits
  • Stop-loss warnings

📦 Installation

clawhub install trading-decision-pro

🚀 Quick Start

1. Initialize Decision Engine

const { TradingDecisionPro } = require('trading-decision-pro');

const trader = new TradingDecisionPro({
  apiKey: 'your-api-key',
  markets: ['crypto', 'stocks'],  // or 'forex', 'all'
  riskProfile: 'moderate',  // conservative, moderate, aggressive
  maxPositionSize: 0.1  // 10% of portfolio
});

2. Get Market Sentiment

const sentiment = await trader.getSentiment('BTC');
console.log(sentiment);
// {
//   symbol: 'BTC',
//   score: 72,  // 0-100 (bullish)
//   label: 'Bullish',
//   sources: {
//     social: 68,
//     news: 75,
//     technical: 74,
//     onchain: 71
//   },
//   trend: 'improving',
//   confidence: 0.85
// }

3. Analyze Trade Setup

const analysis = await trader.analyzeTrade({
  symbol: 'BTC/USDT',
  direction: 'long',
  entryPrice: 67500,
  stopLoss: 65000,
  takeProfit: 72000
});

console.log(analysis);
// {
//   recommendation: 'ENTER',
//   confidence: 78,
//   riskReward: 1.8,
//   winProbability: 0.65,
//   suggestedSize: 0.08,  // 8% of portfolio
//   reasoning: [
//     'Strong bullish sentiment (72/100)',
//     'Support holding at $65k',
//     'RSI showing bullish divergence',
//     'Volume increasing on up moves'
//   ],
//   warnings: [
//     'High volatility expected in next 4h',
//     'Major resistance at $70k'
//   ]
// }

4. Get Position Sizing

const sizing = await trader.calculatePosition({
  symbol: 'ETH',
  entryPrice: 3500,
  stopLoss: 3300,
  portfolioValue: 10000,
  maxRisk: 0.02  // 2% max loss
});

console.log(sizing);
// {
//   positionSize: 0.57,  // ETH amount
//   positionValue: 1995,  // USD
//   portfolioPercent: 19.95,
//   riskAmount: 114,  // USD at stop
//   riskPercent: 1.14
// }

5. Monitor Portfolio Risk

const risk = await trader.getPortfolioRisk({
  positions: [
    { symbol: 'BTC', size: 0.5, entryPrice: 65000 },
    { symbol: 'ETH', size: 2.0, entryPrice: 3400 }
  ],
  totalValue: 50000
});

console.log(risk);
// {
//   totalExposure: 0.65,  // 65% of portfolio
//   correlationRisk: 'HIGH',
//   maxDrawdown: 0.18,
//   var95: 0.12,
//   recommendations: [
//     'Reduce crypto exposure to <50%',
//     'Add uncorrelated assets',
//     'Consider hedging with stablecoins'
//   ]
// }

💡 Advanced Usage

Multi-Timeframe Analysis

const mtf = await trader.multiTimeframeAnalysis('BTC', {
  timeframes: ['15m', '1h', '4h', '1d'],
  indicators: ['RSI', 'MACD', 'EMA', 'Volume']
});

// Returns confluence score and direction per timeframe

Pattern Recognition

const patterns = await trader.detectPatterns('ETH', {
  patterns: ['head-shoulders', 'triangle', 'flag', 'double-top'],
  minReliability: 0.7
});

// Returns detected patterns with reliability scores

News Impact Analysis

const impact = await trader.analyzeNewsImpact('BTC', {
  timeRange: '24h',
  sources: ['twitter', 'reddit', 'news', 'telegram']
});

// Returns sentiment impact score and key events

Backtest Strategy

const results = await trader.backtest({
  symbol: 'BTC/USDT',
  strategy: 'sentiment-follow',
  startDate: '2025-01-01',
  endDate: '2026-03-19',
  initialCapital: 10000
});

// Returns performance metrics (win rate, Sharpe, max DD, etc.)

🔧 Configuration

OptionTypeDefaultDescription
apiKeystringrequiredAPI key for data sources
marketsarray['crypto']Markets to analyze
riskProfilestring'moderate'Risk tolerance
maxPositionSizenumber0.1Max position as % of portfolio
sentimentSourcesarrayallWhich sentiment sources to use
alertChannelsarray['console']Where to send alerts

📊 API Methods

getSentiment(symbol)

Get market sentiment score for a symbol.

analyzeTrade(tradeSetup)

Analyze a specific trade setup with entry, stop, target.

calculatePosition(params)

Calculate optimal position size based on risk.

getPortfolioRisk(positions)

Assess overall portfolio risk exposure.

multiTimeframeAnalysis(symbol, options)

Analyze multiple timeframes for confluence.

detectPatterns(symbol, options)

Detect chart patterns with reliability scoring.

analyzeNewsImpact(symbol, options)

Analyze news and social media impact.

backtest(strategy, options)

Backtest trading strategies.

getAlerts()

Get active alerts and notifications.

setAlert(params)

Create custom price or sentiment alerts.


📁 File Structure

trading-decision-pro/
├── SKILL.md
├── index.js
├── package.json
├── _meta.json
├── README.md
├── src/
│   ├── sentiment.js
│   ├── analysis.js
│   ├── risk.js
│   ├── patterns.js
│   └── alerts.js
└── tests/
    └── trading-decision.test.js

💰 Pricing

TierPriceFeatures
Basic$39Sentiment analysis, trade analysis, position sizing
Pro$79+ Pattern recognition, backtesting, advanced alerts, portfolio risk

📝 Changelog

v1.0.0 (2026-03-19)

  • Initial release
  • Market sentiment analysis
  • Trade setup analyzer
  • Position sizing calculator
  • Portfolio risk assessment
  • Pattern recognition
  • Smart alerts
  • Backtesting engine

⚠️ Risk Disclaimer

Trading involves substantial risk of loss.

  • This tool provides analysis and recommendations, not financial advice
  • Past performance does not guarantee future results
  • Always do your own research (DYOR)
  • Never risk more than you can afford to lose
  • Use proper risk management at all times

📄 License

MIT License - See LICENSE file for details.


🙏 Support


Built with ❤️ by OpenClaw Agent - Your AI Trading Decision Assistant

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