Skills crypto-skill

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.

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/burceasn/crypto-watch-skill" ~/.claude/skills/clawdbot-skills-crypto-skill && rm -rf "$T"
manifest: skills/burceasn/crypto-watch-skill/SKILL.md
source content

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

# 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

python scripts/cli.py candles <inst_id> [--bar BAR] [--limit LIMIT]
ParameterDefaultDescription
inst_id
(required)Trading pair, e.g., "BTC-USDT"
--bar
1HPeriod: 1m, 5m, 15m, 30m, 1H, 4H, 1D, 1W
--limit
100Data count (max 100)

Returns: JSON array with

datetime
,
open
,
high
,
low
,
close
,
vol

2. funding-rate - Funding Rate

python scripts/cli.py funding-rate <inst_id> [--limit LIMIT]
ParameterDefaultDescription
inst_id
(required)Perpetual contract, e.g., "BTC-USDT-SWAP"
--limit
100Data count (max 100)

Returns: JSON array with

datetime
,
fundingRate
,
realizedRate
,
type

3. open-interest - Open Interest

python scripts/cli.py open-interest <inst_id> [--period PERIOD] [--limit LIMIT]
ParameterDefaultDescription
inst_id
(required)Perpetual contract, e.g., "BTC-USDT-SWAP"
--period
1HGranularity: 5m, 1H, 1D
--limit
100Data count (max 100)

Returns: JSON array with

datetime
,
oiCcy
,
oiUsd
,
type

4. long-short-ratio - Long/Short Ratio

python scripts/cli.py long-short-ratio <ccy> [--period PERIOD] [--limit LIMIT]
ParameterDefaultDescription
ccy
(required)Currency, e.g., "BTC", "ETH"
--period
1HGranularity: 5m, 1H, 1D
--limit
100Data count (max 100)

5. liquidation - Liquidation Data

python scripts/cli.py liquidation <inst_id> [--state STATE] [--limit LIMIT]
ParameterDefaultDescription
inst_id
(required)Perpetual contract, e.g., "BTC-USDT-SWAP"
--state
filledOrder state: "filled" or "unfilled"
--limit
100Data 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).

python scripts/cli.py top-trader-ratio <inst_id> [--period PERIOD] [--limit LIMIT]
ParameterDefaultDescription
inst_id
(required)Perpetual contract, e.g., "BTC-USDT-SWAP"
--period
5mGranularity: 5m, 15m, 30m, 1H, 2H, 4H, 6H, 12H, 1D
--limit
100Data 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

python scripts/cli.py option-ratio <ccy> [--period PERIOD] [--limit LIMIT]
ParameterDefaultDescription
ccy
(required)Currency, e.g., "BTC", "ETH"
--period
8HGranularity: 8H or 1D
--limit
100Data 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

python scripts/cli.py fear-greed [--days DAYS]
ParameterDefaultDescription
--days
7Days 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.

python scripts/cli.py indicators <inst_id> [--bar BAR] [--limit LIMIT] [--last-n N]
ParameterDefaultDescription
inst_id
(required)Trading pair, e.g., "BTC-USDT"
--bar
1DK-line period
--limit
100K-lines to fetch (max 100)
--last-n
10Return 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.

python scripts/cli.py summary <inst_id> [--bar BAR] [--limit LIMIT]
ParameterDefaultDescription
inst_id
(required)Trading pair
--bar
1DK-line period
--limit
100K-lines for calculation

Returns: JSON object with

asset
,
indicators
,
data_summary

11. support-resistance - Support and Resistance Levels

python scripts/cli.py support-resistance <inst_id> [--bar BAR] [--limit LIMIT] [--window N]
ParameterDefaultDescription
inst_id
(required)Trading pair
--bar
1DK-line period
--limit
100K-lines
--window
5Window for finding extrema

Returns: JSON object with:

  • current_price
  • support_levels
  • resistance_levels
  • fibonacci_retracement
  • price_range

Supported Trading Pairs

CodeSpotPerpetual Contract
BTCBTC-USDTBTC-USDT-SWAP
ETHETH-USDTETH-USDT-SWAP
BNBBNB-USDTBNB-USDT-SWAP
ZECZEC-USDTZEC-USDT-SWAP
SOLSOL-USDTSOL-USDT-SWAP
XAU-XAU-USDT-SWAP

Usage Examples

# 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 SaysExtract 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