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在 OpenClaw 中安装
/install test-0612
功能描述
Analyze stocks and cryptocurrencies using Yahoo Finance data. Supports portfolio management, watchlists with alerts, dividend analysis, 8-dimension stock sco...
使用说明 (SKILL.md)
Stock Analysis v6.1
Analyze US stocks and cryptocurrencies with 8-dimension analysis, portfolio management, watchlists, alerts, dividend analysis, and viral trend detection.
What's New in v6.2
- 🔮 Rumor Scanner — Early signals before mainstream news
- M&A rumors and takeover bids
- Insider buying/selling activity
- Analyst upgrades/downgrades
- Twitter/X "hearing that...", "sources say..." detection
- 🎯 Impact Scoring — Rumors ranked by potential market impact
What's in v6.1
- 🔥 Hot Scanner — Find viral stocks & crypto across multiple sources
- 🐦 Twitter/X Integration — Social sentiment via bird CLI
- 📰 Multi-Source Aggregation — CoinGecko, Google News, Yahoo Finance
- ⏰ Cron Support — Daily trend reports
What's in v6.0
- 🆕 Watchlist + Alerts — Price targets, stop losses, signal changes
- 🆕 Dividend Analysis — Yield, payout ratio, growth, safety score
- 🆕 Fast Mode —
--fastskips slow analyses (insider, news) - 🆕 Improved Performance —
--no-insiderfor faster runs
Quick Commands
Stock Analysis
# Basic analysis
uv run {baseDir}/scripts/analyze_stock.py AAPL
# Fast mode (skips insider trading & breaking news)
uv run {baseDir}/scripts/analyze_stock.py AAPL --fast
# Compare multiple
uv run {baseDir}/scripts/analyze_stock.py AAPL MSFT GOOGL
# Crypto
uv run {baseDir}/scripts/analyze_stock.py BTC-USD ETH-USD
Dividend Analysis (NEW v6.0)
# Analyze dividends
uv run {baseDir}/scripts/dividends.py JNJ
# Compare dividend stocks
uv run {baseDir}/scripts/dividends.py JNJ PG KO MCD --output json
Dividend Metrics:
- Dividend Yield & Annual Payout
- Payout Ratio (safe/moderate/high/unsustainable)
- 5-Year Dividend Growth (CAGR)
- Consecutive Years of Increases
- Safety Score (0-100)
- Income Rating (excellent/good/moderate/poor)
Watchlist + Alerts (NEW v6.0)
# Add to watchlist
uv run {baseDir}/scripts/watchlist.py add AAPL
# With price target alert
uv run {baseDir}/scripts/watchlist.py add AAPL --target 200
# With stop loss alert
uv run {baseDir}/scripts/watchlist.py add AAPL --stop 150
# Alert on signal change (BUY→SELL)
uv run {baseDir}/scripts/watchlist.py add AAPL --alert-on signal
# View watchlist
uv run {baseDir}/scripts/watchlist.py list
# Check for triggered alerts
uv run {baseDir}/scripts/watchlist.py check
uv run {baseDir}/scripts/watchlist.py check --notify # Telegram format
# Remove from watchlist
uv run {baseDir}/scripts/watchlist.py remove AAPL
Alert Types:
- 🎯 Target Hit — Price >= target
- 🛑 Stop Hit — Price \x3C= stop
- 📊 Signal Change — BUY/HOLD/SELL changed
Portfolio Management
# Create portfolio
uv run {baseDir}/scripts/portfolio.py create "Tech Portfolio"
# Add assets
uv run {baseDir}/scripts/portfolio.py add AAPL --quantity 100 --cost 150
uv run {baseDir}/scripts/portfolio.py add BTC-USD --quantity 0.5 --cost 40000
# View portfolio
uv run {baseDir}/scripts/portfolio.py show
# Analyze with period returns
uv run {baseDir}/scripts/analyze_stock.py --portfolio "Tech Portfolio" --period weekly
🔥 Hot Scanner (NEW v6.1)
# Full scan - find what's trending NOW
python3 {baseDir}/scripts/hot_scanner.py
# Fast scan (skip social media)
python3 {baseDir}/scripts/hot_scanner.py --no-social
# JSON output for automation
python3 {baseDir}/scripts/hot_scanner.py --json
Data Sources:
- 📊 CoinGecko Trending — Top 15 trending coins
- 📈 CoinGecko Movers — Biggest gainers/losers
- 📰 Google News — Finance & crypto headlines
- 📉 Yahoo Finance — Gainers, losers, most active
- 🐦 Twitter/X — Social sentiment (requires auth)
Output:
- Top trending by mention count
- Crypto highlights with 24h changes
- Stock movers by category
- Breaking news with tickers
Twitter Setup (Optional):
- Install bird:
npm install -g @steipete/bird - Login to x.com in Safari/Chrome
- Create
.envwithAUTH_TOKENandCT0
🔮 Rumor Scanner (NEW v6.2)
# Find early signals, M&A rumors, insider activity
python3 {baseDir}/scripts/rumor_scanner.py
What it finds:
- 🏢 M&A Rumors — Merger, acquisition, takeover bids
- 👔 Insider Activity — CEO/Director buying/selling
- 📊 Analyst Actions — Upgrades, downgrades, price target changes
- 🐦 Twitter Whispers — "hearing that...", "sources say...", "rumor"
- ⚖️ SEC Activity — Investigations, filings
Impact Scoring:
- Each rumor is scored by potential market impact (1-10)
- M&A/Takeover: +5 points
- Insider buying: +4 points
- Upgrade/Downgrade: +3 points
- "Hearing"/"Sources say": +2 points
- High engagement: +2 bonus
Best Practice: Run at 07:00 before US market open to catch pre-market signals.
Analysis Dimensions (8 for stocks, 3 for crypto)
Stocks
| Dimension | Weight | Description |
|---|---|---|
| Earnings Surprise | 30% | EPS beat/miss |
| Fundamentals | 20% | P/E, margins, growth |
| Analyst Sentiment | 20% | Ratings, price targets |
| Historical | 10% | Past earnings reactions |
| Market Context | 10% | VIX, SPY/QQQ trends |
| Sector | 15% | Relative strength |
| Momentum | 15% | RSI, 52-week range |
| Sentiment | 10% | Fear/Greed, shorts, insiders |
Crypto
- Market Cap & Category
- BTC Correlation (30-day)
- Momentum (RSI, range)
Sentiment Sub-Indicators
| Indicator | Source | Signal |
|---|---|---|
| Fear & Greed | CNN | Contrarian (fear=buy) |
| Short Interest | Yahoo | Squeeze potential |
| VIX Structure | Futures | Stress detection |
| Insider Trades | SEC EDGAR | Smart money |
| Put/Call Ratio | Options | Sentiment extreme |
Risk Detection
- ⚠️ Pre-Earnings — Warns if \x3C 14 days to earnings
- ⚠️ Post-Spike — Flags if up >15% in 5 days
- ⚠️ Overbought — RSI >70 + near 52w high
- ⚠️ Risk-Off — GLD/TLT/UUP rising together
- ⚠️ Geopolitical — Taiwan, China, Russia, Middle East keywords
- ⚠️ Breaking News — Crisis keywords in last 24h
Performance Options
| Flag | Effect | Speed |
|---|---|---|
| (default) | Full analysis | 5-10s |
--no-insider |
Skip SEC EDGAR | 3-5s |
--fast |
Skip insider + news | 2-3s |
Supported Cryptos (Top 20)
BTC, ETH, BNB, SOL, XRP, ADA, DOGE, AVAX, DOT, MATIC, LINK, ATOM, UNI, LTC, BCH, XLM, ALGO, VET, FIL, NEAR
(Use -USD suffix: BTC-USD, ETH-USD)
Data Storage
| File | Location |
|---|---|
| Portfolios | ~/.clawdbot/skills/stock-analysis/portfolios.json |
| Watchlist | ~/.clawdbot/skills/stock-analysis/watchlist.json |
Limitations
- Yahoo Finance may lag 15-20 minutes
- Short interest lags ~2 weeks (FINRA)
- Insider trades lag 2-3 days (SEC filing)
- US markets only (non-US incomplete)
- Breaking news: 1h cache, keyword-based
Disclaimer
⚠️ NOT FINANCIAL ADVICE. For informational purposes only. Consult a licensed financial advisor before making investment decisions.
安全使用建议
Review before installing if you plan to use Twitter/X integration. Avoid granting Full Disk Access unless you fully understand the privacy impact, use a dedicated or low-risk X account if possible, keep AUTH_TOKEN and CT0 out of source control and logs, and consider using --no-social or skipping bird if you only need market/news analysis. Treat portfolio and watchlist files as sensitive because they can reveal holdings, cost basis, and alerts.
能力标签
能力评估
Purpose & Capability
The stock, crypto, portfolio, watchlist, dividend, hot-trend, and rumor-scanner capabilities fit the stated finance-analysis purpose; external market/news/social data sources are mostly documented.
Instruction Scope
The docs instruct users to use Twitter/X session tokens and even grant Terminal Full Disk Access for browser-cookie access, but do not give adequate warnings about account/session-token sensitivity or least-privilege setup.
Install Mechanism
The declared install requirement is uv, with bird CLI documented as optional for Twitter/X social scanning; there is no evidence of hidden package installation or automatic privileged setup.
Credentials
hot_scanner.py and rumor_scanner.py load a skill-local .env file into the process environment and pass the full environment to the external bird CLI, which is broader than needed for social-signal collection.
Persistence & Privilege
Portfolio and watchlist commands persist financial holdings, cost basis, alerts, and watchlist state under ~/.clawdbot, and scanner cache files are written under the skill directory; these writes are purpose-aligned and mostly disclosed, but users should treat the stored financial data as sensitive.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install test-0612 - 安装完成后，直接呼叫该 Skill 的名称或使用
/test-0612触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.1
- Added support for Rumor Scanner: detect early signals, M&A rumors, insider activity, and social media whispers before mainstream news.
- Introduced impact scoring for rumors, ranking potential market impact.
- Expanded documentation for new and existing features such as Hot Scanner, portfolio management, dividend analysis, watchlists, and alerts.
- Updated command reference and best practices for running scanners and analysis tools.
- Detailed new analysis dimensions, sentiment sub-indicators, risk detection, performance options, and coverage limitations.
元数据
常见问题
test-0612 是什么？
Analyze stocks and cryptocurrencies using Yahoo Finance data. Supports portfolio management, watchlists with alerts, dividend analysis, 8-dimension stock sco... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 31 次。
如何安装 test-0612？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install test-0612」即可一键安装，无需额外配置。
test-0612 是免费的吗？
是的，test-0612 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
test-0612 支持哪些平台？
test-0612 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 test-0612？
由 yuangui（@yinwuzhe）开发并维护，当前版本 v1.0.1。
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