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📈 Stock Analysis 6.2.0 — 技能工具

v1.0.0

Analyze stocks and cryptocurrencies using Yahoo Finance data. Supports portfolio management, watchlists with alerts, dividend analysis, 8-dimension stock scoring, viral trend detection (Hot Scanner), and rumor/early signal detection. Use for stock analysis, portfolio tracking, earnings reactions, crypto monitoring, trending stocks, or finding rumors before they hit mainstream.

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by @squally2k·MIT-0
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License
MIT-0
最后更新
2026/2/13
安全扫描
VirusTotal
可疑
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OpenClaw
可疑
medium confidence
The skill mostly matches its stated stock/crypto analysis purpose, but its runtime instructions ask for additional tooling and privileged actions (Twitter cookie extraction / Full Disk Access, manual auth tokens, undocumented binaries) that are disproportionate and raise red flags.
评估建议
This skill appears to be a legitimate stock/crypto analysis tool, but there are concerning mismatches between what the manifest declares and what the runtime docs instruct: - The SKILL metadata only lists 'uv' as a binary, yet the Hot Scanner/Twitter integration requires the third-party bird CLI (npm/brew) and manual extraction of Twitter cookie tokens (AUTH_TOKEN and CT0). The manifest should declare those dependencies and any required env vars. - The docs explicitly instruct users to extract...
详细分析 ▾
⚠ 用途与能力
The skill's name and code (Python scripts for analysis, hot/rumor scanners, portfolios, watchlists) align with the stated purpose. However, the SKILL metadata only declares a dependency on the 'uv' binary while the documentation/runtime instructions expect additional tooling (bird CLI / npm or brew-installed) and Twitter auth tokens. Those extra requirements are not declared in the manifest, creating a mismatch between claimed requirements and actual operational needs.
⚠ 指令范围
SKILL.md and the docs instruct the operator to extract Twitter/X authentication cookies (auth_token and ct0) from the browser and to 'Grant Terminal Full Disk Access' to read them, and to put them into a .env or environment variables. This directs users to access and move sensitive browser credentials and to elevate system permissions — actions outside the reasonable scope of a stock-analysis tool. The docs also instruct installing the bird CLI (npm/brew) but that's not declared in the install metadata. The instructions also include cron automation and local storage paths (e.g., ~/.clawdbot/skills/stock-analysis/) which are expected but should be made explicit and permissioned carefully.
ℹ 安装机制
The declared install spec is a single brew formula (uv), which is low-risk. The repository includes local Python scripts (no remote downloads in install spec). However, the docs recommend installing an additional third-party CLI (bird) via npm/brew but that is not part of the install spec. There are no downloads from unknown personal servers in the install metadata, which is good, but the inconsistency (missing tooling in install metadata) is noteworthy.
⚠ 凭证需求
The registry metadata declares no required env vars, but the runtime docs explicitly instruct creating a .env or exporting AUTH_TOKEN and CT0 (Twitter cookies) and potentially other tokens for Telegram/notifications. Asking users to export browser cookie tokens (and to grant Full Disk Access to retrieve them) is disproportionate for a third-party skill and increases risk of credential theft or accidental exfiltration. Other storage locations (portfolios/watchlist under ~/.clawdbot/skills/stock-analysis/) are reasonable, but sensitive tokens stored in plaintext .env files should be flagged.
⚠ 持久化与权限
The skill does not request always:true and behaves like a normal, user-invocable skill. However, the documentation's recommendation to grant Terminal 'Full Disk Access' to extract browser cookies elevates system privilege requirements outside the skill's domain. Combined with instructions to store auth tokens locally and to run cron jobs, this creates a higher persistence/privilege risk than the manifest indicates.
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

latestv1.0.02026/2/13
● 可疑

安装命令 点击复制

官方npx clawhub@latest install stock-analysis-6-2-0
镜像加速npx clawhub@latest install stock-analysis-6-2-0 --registry https://cn.clawhub-mirror.com

技能文档

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 — --fast skips slow analyses (insider, news)
  • 🆕 Improved Performance — --no-insider for 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 <= 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 .env with AUTH_TOKEN and CT0

🔮 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

DimensionWeightDescription
Earnings Surprise30%EPS beat/miss
Fundamentals20%P/E, margins, growth
Analyst Sentiment20%Ratings, price targets
Historical10%Past earnings reactions
Market Context10%VIX, SPY/QQQ trends
Sector15%Relative strength
Momentum15%RSI, 52-week range
Sentiment10%Fear/Greed, shorts, insiders

Crypto

  • Market Cap & Category
  • BTC Correlation (30-day)
  • Momentum (RSI, range)

Sentiment Sub-Indicators

IndicatorSourceSignal
Fear & GreedCNNContrarian (fear=buy)
Short InterestYahooSqueeze potential
VIX StructureFuturesStress detection
Insider TradesSEC EDGARSmart money
Put/Call RatioOptionsSentiment extreme

Risk Detection

  • ⚠️ Pre-Earnings — Warns if < 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

FlagEffectSpeed
(default)Full analysis5-10s
--no-insiderSkip SEC EDGAR3-5s
--fastSkip insider + news2-3s

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

FileLocation
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.

数据来源：ClawHub ↗ · 中文优化：龙虾技能库
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