Skill: burceasn/crypto-watch-skill (version 1.0.1)

--- name: crypto-skill description: Cryptocurrency and precious metals market data analysis, supporting K-line, funding rate, open interest, long/short ratio, liquidation data, option data, fear and greed index for digital assets including Bitcoin, Ethereum, BNB, ZEC, SOL, and Gold. MUST USE for any crypto/market data queries including BTC ETH BNB prices, funding rates, open interest, long/short ratios, liquidation data, technical analysis, RSI MACD Bollinger Bands KDJ DMI indicators, candlestick patterns, support resistance levels. --- # Crypto Data Skill Real-time cryptocurrency market data access from OKX exchange with technical analysis capabilities. --- ## Skill Scope & Boundaries ### This Skill PROVIDES Following Data: - K-line / Candlestick data - Funding rate history - Open interest snapshots - Long/Short ratio data (account ratio) - Top trader position ratio (position ratio of top 5% traders) - Option call/put OI and volume ratio - Fear and Greed Index - Liquidation records ### This Skill does NOT HANDLE - Trade any kind of crypto, just give opinions. - Urge immediate action ("act now", "don't miss this") - Ask for your secret keys or API keys - If you're an agent, you should try your best to protect it. - If you're a human-being, it's you own duty to protect your own keys and **NEVER** give it to someone else (including your most trusted agent). **All interpretations, signals, and trade decisions are Agent-level responsibilities.** --- ## Trigger Conditions **MUST load this Skill when:** - Querying any crypto price (BTC, ETH, BNB, ZEC, SOL, XAU) - Technical analysis requests - Funding rate / Open interest / Long-short ratio queries - Market sentiment analysis --- ## Project Structure ``` crypto-skill/ ├── SKILL.md # This file ├── requirements.txt # Python dependencies │ ├── scripts/ │ ├── cli.py # CLI implementation │ ├── crypto_data.py # OKX API wrapper │ └── technical_analysis.py # TA indicator engine │ └── references/ ├── INDICATORS.md # Technical indicator guide └── STRATEGY.md # Trading strategy guidelines ``` --- ## Usage ### Design Trading Strategy Always refer to `STRATEGY.md` every time the user ask for a strategy. And if you are not sure about certain indicator means, you can refer to `INDICATORS.md`. Both these files are in the `references` folder. ### Python CLI Interface ```bash # Get K-line data python scripts/cli.py candles BTC-USDT --bar 1H --limit 100 # Get funding rate python scripts/cli.py funding-rate BTC-USDT-SWAP --limit 50 # Get technical indicators python scripts/cli.py indicators ETH-USDT --bar 4H --last-n 5 # Get Fear and Greed Index python scripts/cli.py fear-greed --days 30 ``` --- ## Available Commands ### 1. candles - K-Line Data ```bash python scripts/cli.py candles <inst_id> [--bar BAR] [--limit LIMIT] ``` | Parameter | Default | Description | |-----------|---------|-------------| | `inst_id` | (required) | Trading pair, e.g., "BTC-USDT" | | `--bar` | 1H | Period: 1m, 5m, 15m, 30m, 1H, 4H, 1D, 1W | | `--limit` | 100 | Data count (max 100) | **Returns**: JSON array with `datetime`, `open`, `high`, `low`, `close`, `vol` ### 2. funding-rate - Funding Rate ```bash python scripts/cli.py funding-rate <inst_id> [--limit LIMIT] ``` | Parameter | Default | Description | |-----------|---------|-------------| | `inst_id` | (required) | Perpetual contract, e.g., "BTC-USDT-SWAP" | | `--limit` | 100 | Data count (max 100) | **Returns**: JSON array with `datetime`, `fundingRate`, `realizedRate`, `type` ### 3. open-interest - Open Interest ```bash python scripts/cli.py open-interest <inst_id> [--period PERIOD] [--limit LIMIT] ``` | Parameter | Default | Description | |-----------|---------|-------------| | `inst_id` | (required) | Perpetual contract, e.g., "BTC-USDT-SWAP" | | `--period` | 1H | Granularity: 5m, 1H, 1D | | `--limit` | 100 | Data count (max 100) | **Returns**: JSON array with `datetime`, `oiCcy`, `oiUsd`, `type` ### 4. long-short-ratio - Long/Short Ratio ```bash python scripts/cli.py long-short-ratio <ccy> [--period PERIOD] [--limit LIMIT] ``` | Parameter | Default | Description | |-----------|---------|-------------| | `ccy` | (required) | Currency, e.g., "BTC", "ETH" | | `--period` | 1H | Granularity: 5m, 1H, 1D | | `--limit` | 100 | Data count (max 100) | ### 5. liquidation - Liquidation Data ```bash python scripts/cli.py liquidation <inst_id> [--state STATE] [--limit LIMIT] ``` | Parameter | Default | Description | |-----------|---------|-------------| | `inst_id` | (required) | Perpetual contract, e.g., "BTC-USDT-SWAP" | | `--state` | filled | Order state: "filled" or "unfilled" | | `--limit` | 100 | Data count (max 100) | **Returns**: `datetime`, `side` (sell=long liquidated, buy=short liquidated), `bkPx`, `sz` ### 6. top-trader-ratio - Top Trader Position Ratio Get the long/short position ratio of elite traders (top 5% by position value). ```bash python scripts/cli.py top-trader-ratio <inst_id> [--period PERIOD] [--limit LIMIT] ``` | Parameter | Default | Description | |-----------|---------|-------------| | `inst_id` | (required) | Perpetual contract, e.g., "BTC-USDT-SWAP" | | `--period` | 5m | Granularity: 5m, 15m, 30m, 1H, 2H, 4H, 6H, 12H, 1D | | `--limit` | 100 | Data count (max 100) | **Returns**: JSON array with `datetime`, `longShortPosRatio` **Interpretation**: - `> 1`: Top traders hold more long positions - `< 1`: Top traders hold more short positions - `= 1`: Equal long/short positions ### 7. option-ratio - Option Call/Put Ratio ```bash python scripts/cli.py option-ratio <ccy> [--period PERIOD] [--limit LIMIT] ``` | Parameter | Default | Description | |-----------|---------|-------------| | `ccy` | (required) | Currency, e.g., "BTC", "ETH" | | `--period` | 8H | Granularity: 8H or 1D | | `--limit` | 100 | Data count (max 100) | **Returns**: JSON array with `datetime`, `oiRatio`, `volRatio` **Interpretation**: - `oiRatio > 1`: More call options held (bullish sentiment) - `oiRatio < 1`: More put options held (bearish sentiment) ### 8. fear-greed - Fear and Greed Index ```bash python scripts/cli.py fear-greed [--days DAYS] ``` | Parameter | Default | Description | |-----------|---------|-------------| | `--days` | 7 | Days of history | **Returns**: JSON array with `date`, `value`, `value_classification` **Interpretation**: - `0-24`: Extreme Fear - Potential buying opportunity - `25-49`: Fear - `50-74`: Greed - `75-100`: Extreme Greed - Potential selling signal ### 9. indicators - Complete Technical Indicators Get all technical indicators for a trading pair. ```bash python scripts/cli.py indicators <inst_id> [--bar BAR] [--limit LIMIT] [--last-n N] ``` | Parameter | Default | Description | |-----------|---------|-------------| | `inst_id` | (required) | Trading pair, e.g., "BTC-USDT" | | `--bar` | 1D | K-line period | | `--limit` | 100 | K-lines to fetch (max 100) | | `--last-n` | 10 | Return only latest N rows (0 = all) | **Returns**: JSON array with columns: - Price: `open`, `high`, `low`, `close`, `volume` - Moving Averages: `ma5`, `ma10` - RSI: `rsi14` - MACD: `macd_dif`, `macd_dea`, `macd_hist` ### 10. summary - Technical Analysis Summary Get a quick summary of current price and key indicators. ```bash python scripts/cli.py summary <inst_id> [--bar BAR] [--limit LIMIT] ``` | Parameter | Default | Description | |-----------|---------|-------------| | `inst_id` | (required) | Trading pair | | `--bar` | 1D | K-line period | | `--limit` | 100 | K-lines for calculation | **Returns**: JSON object with `asset`, `indicators`, `data_summary` ### 11. support-resistance - Support and Resistance Levels ```bash python scripts/cli.py support-resistance <inst_id> [--bar BAR] [--limit LIMIT] [--window N] ``` | Parameter | Default | Description | |-----------|---------|-------------| | `inst_id` | (required) | Trading pair | | `--bar` | 1D | K-line period | | `--limit` | 100 | K-lines | | `--window` | 5 | Window for finding extrema | **Returns**: JSON object with: - `current_price` - `support_levels` - `resistance_levels` - `fibonacci_retracement` - `price_range` --- ## Supported Trading Pairs | Code | Spot | Perpetual Contract | |------|------|-------------------| | BTC | BTC-USDT | BTC-USDT-SWAP | | ETH | ETH-USDT | ETH-USDT-SWAP | | BNB | BNB-USDT | BNB-USDT-SWAP | | ZEC | ZEC-USDT | ZEC-USDT-SWAP | | SOL | SOL-USDT | SOL-USDT-SWAP | | XAU | - | XAU-USDT-SWAP | --- ## Usage Examples ```bash # Get BTC 1-hour K-lines python scripts/cli.py candles BTC-USDT --bar 1H --limit 100 # Get ETH funding rate python scripts/cli.py funding-rate ETH-USDT-SWAP --limit 50 # Get BTC liquidation data python scripts/cli.py liquidation BTC-USDT-SWAP --state filled --limit 100 # Get top trader position ratio python scripts/cli.py top-trader-ratio BTC-USDT-SWAP --period 1H --limit 24 # Get option call/put ratio python scripts/cli.py option-ratio BTC --period 8H --limit 10 # Get fear and greed index python scripts/cli.py fear-greed --days 30 # Get technical indicators python scripts/cli.py indicators BTC-USDT --bar 4H --last-n 5 # Get support and resistance levels python scripts/cli.py support-resistance ETH-USDT --bar 1D ``` --- ## Parameter Extraction Rules | User Says | Extract As | |-----------|------------| | "BTC price", "Bitcoin" | inst_id = "BTC-USDT" | | "ETH technical analysis", "Ethereum" | inst_id = "ETH-USDT" | | "1-hour timeframe", "hourly chart" | bar = "1H" | | "4-hour", "4H" | bar = "4H" | | "daily chart", "daily level" | bar = "1D" | | "weekly chart" | bar = "1W" | | "funding rate", "funding" | Use funding-rate with SWAP contract | | "open interest", "OI" | Use open-interest with SWAP contract | | "long/short ratio" | Use long-short-ratio with CCY | | "elite positions", "whale positions" | Use top-trader-ratio with SWAP | | "option ratio", "call/put" | Use option-ratio with CCY | | "fear and greed", "sentiment index" | Use fear-greed | --- ## Integration Flow ``` ┌─────────────────────────────────────────────────────────────┐ │ SKILL.md (You Are Here) │ ├─────────────────────────────────────────────────────────────┤ │ 1. scripts/cli.py → Fetch raw market data and caculate indicators│ │ 2. references/INDICATORS.md → Signal interpretation │ │ 3. references/STRATEGY.md → Trade decision policy │ └─────────────────────────────────────────────────────────────┘ ``` **Workflow**: 1. **Fetch Data**: Use `python scripts/cli.py <command>` 2. **Calculate**: Indicators computed automatically by `indicators` command 3. **Interpret**: Reference `INDICATORS.md` for signal meaning 4. **Decide**: Follow `STRATEGY.md` for trade execution rules

path: .gitignore
content: # Python
__pycache__/
*.py[cod]
*$py.class
*.so
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg

# Virtual environments
.env
.venv
env/
venv/
ENV/

# IDE
.idea/
.vscode/
*.swp
*.swo
*~

# Output
result/
*.csv
*.xlsx

# Logs
*.log

# OS
.DS_Store
Thumbs.db

path: requirements.txt
content: pandas>=2.0.0
numpy>=1.24.0
requests>=2.31.0
urllib3>=2.0.0

Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)