Open-skills get-crypto-price
Fetch current and historical crypto prices and compute ATH or ATL over common time windows.
git clone https://github.com/besoeasy/open-skills
T=$(mktemp -d) && git clone --depth=1 https://github.com/besoeasy/open-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/get-crypto-price" ~/.claude/skills/besoeasy-open-skills-get-crypto-price && rm -rf "$T"
skills/get-crypto-price/SKILL.mdGet Crypto Price (minimal guide)
This short guide shows how to fetch current prices and at least 3 months of past price action using CoinGecko, Binance, and Coinbase public APIs. It also shows how to compute ATH (highest) and ATL (lowest) within time windows: 1 DAY, 1 WEEK, 1 MONTH.
Quick notes
- Timestamps: many APIs return milliseconds since epoch (ms) or seconds (s). Convert consistently.
- Rate limits: respect exchange rate limits; cache responses when possible.
- Symbols: use canonical pair symbols (e.g.,
on Binance,BTCUSDT
on CoinGecko).bitcoin
1) CoinGecko (recommended for simple historical ranges)
- Current price (curl):
curl "https://api.coingecko.com/api/v3/simple/price?ids=bitcoin&vs_currencies=usd"
- Last 90 days (price history):
curl "https://api.coingecko.com/api/v3/coins/bitcoin/market_chart?vs_currency=usd&days=90"
Response contains
prices array: [[timestamp_ms, price], ...].
Node.js: Fetch 90 days and compute ATH/ATL for 1d/7d/30d windows.
async function fetchCoinGeckoPrices(coinId = 'bitcoin', vs = 'usd', days = 90) { const url = `https://api.coingecko.com/api/v3/coins/${coinId}/market_chart`; const res = await fetch(`${url}?vs_currency=${vs}&days=${days}`); if (!res.ok) throw new Error(`HTTP ${res.status}`); const data = await res.json(); return data.prices; // array of [ts_ms, price] } function maxMinInWindow(prices, sinceMs) { const window = prices.filter(([ts]) => ts >= sinceMs).map(([, p]) => p); if (window.length === 0) return [null, null]; return [Math.max(...window), Math.min(...window)]; } const prices = await fetchCoinGeckoPrices('bitcoin', 'usd', 90); const nowMs = Date.now(); const windows = { '1d': nowMs - 24 * 3600 * 1000, '1w': nowMs - 7 * 24 * 3600 * 1000, '1m': nowMs - 30 * 24 * 3600 * 1000, }; for (const [name, since] of Object.entries(windows)) { const [ath, atl] = maxMinInWindow(prices, since); console.log(name, 'ATH:', ath, 'ATL:', atl); }
Notes: CoinGecko returns sampled points (usually hourly) — good for these windows.
2) Binance (exchange-level data)
- Current price (curl):
curl "https://api.binance.com/api/v3/ticker/price?symbol=BTCUSDT"
- Historical klines (candles): use
endpoint. Example: fetch daily candles for the last 1000 days or hourly for finer resolution.klines
# daily candles for BTCUSDT (limit up to 1000 rows) curl "https://api.binance.com/api/v3/klines?symbol=BTCUSDT&interval=1d&limit=1000"
Each kline row: [openTime, open, high, low, close, ...] where openTime is ms.
Node.js: Fetch hourly klines for last 90 days and compute ATH/ATL windows.
async function fetchBinanceKlines(symbol = 'BTCUSDT', interval = '1h', limit = 1000) { const url = 'https://api.binance.com/api/v3/klines'; const params = new URLSearchParams({ symbol, interval, limit: String(limit) }); const res = await fetch(`${url}?${params}`); if (!res.ok) throw new Error(`HTTP ${res.status}`); return await res.json(); // array of arrays } // To cover ~90 days hourly: 24*90 = 2160 rows -> call twice with different startTimes or use 4h interval const klines = await fetchBinanceKlines('BTCUSDT', '1h', 1000); // For more than 1000 rows you'd loop with startTime using ms timestamps. // Convert to list of [ts_ms, high, low] const data = klines.map(row => [row[0], parseFloat(row[2]), parseFloat(row[3])]); const nowMs = Date.now(); function athAtlFromKlines(data, sinceMs) { const filtered = data.filter(([ts]) => ts >= sinceMs); if (filtered.length === 0) return [null, null]; const highs = filtered.map(([, h]) => h); const lows = filtered.map(([, , l]) => l); return [Math.max(...highs), Math.min(...lows)]; } const windows = { '1d': nowMs - 24 * 3600 * 1000, '1w': nowMs - 7 * 24 * 3600 * 1000, '1m': nowMs - 30 * 24 * 3600 * 1000, }; for (const [name, since] of Object.entries(windows)) { const [ath, atl] = athAtlFromKlines(data, since); console.log(name, 'ATH:', ath, 'ATL:', atl); }
Notes: Binance
limit is 1000 max per request; for full 90 days hourly, page by startTime.
3) Coinbase (public example)
- Current spot price (curl):
curl "https://api.coinbase.com/v2/prices/BTC-USD/spot"
- Historical candles (Coinbase Exchange API):
curl "https://api.exchange.coinbase.com/products/BTC-USD/candles?granularity=3600&start=2025-11-01T00:00:00Z&end=2026-02-01T00:00:00Z"
Response: array of [time, low, high, open, close, volume]. Use similar filtering by timestamp to compute ATH/ATL.
4) Compute ATH / ATL for a timeframe (1 DAY, 1 WEEK, 1 MONTH)
General steps (applies to any data source that gives timestamped prices or OHLC candles):
- Fetch historical points that cover at least the desired window (e.g., last 90 days).
- Choose the window start timestamp (now - window_seconds).
- Filter the points where timestamp >= window_start.
- If you have OHLC candles, use
as candidate for ATH andhigh
as candidate for ATL. If you only have sampled prices, use max/min of sampled values.low
Example with simple price points (Node.js):
// points = [[ts_ms, price], ...] const sinceMs = Date.now() - 24 * 3600 * 1000; // 1 day const windowPrices = points.filter(([ts]) => ts >= sinceMs).map(([, p]) => p); if (windowPrices.length > 0) { const ath = Math.max(...windowPrices); const atl = Math.min(...windowPrices); } else { const ath = null; const atl = null; }
If using OHLC candles:
// candles = [[ts_ms, open, high, low, close], ...] const window = candles.filter(c => c[0] >= sinceMs); const ath = Math.max(...window.map(c => c[2])); const atl = Math.min(...window.map(c => c[3]));
5) Practical tips
- For 3 months of past price action, fetch 90 days of data or page the exchange candle endpoints until you cover ~90 days.
- Use hourly or daily granularity depending on required resolution. For 1-day ATH/ATL, hourly or minute granularity is better.
- Convert times into UTC and use ms for consistency.
- Respect API rate limits and use caching for repeated queries.
6) Example workflow (summary)
- Try CoinGecko
for quick 90-day history.market_chart?days=90 - Compute windows for 1d/7d/30d from that array and derive ATH/ATL.
- For exchange-precise data or higher resolution, query Binance
or Coinbaseklines
and repeat the same aggregation.candles
If you want, I can add ready-to-run scripts for specific coins (BTC, ETH) and automate paginated Binance fetches to guarantee 90 days of hourly data.
Agent note: When producing human-friendly reports, agents should use the
skills/generate-report skill to produce formatted outputs (markdown or PDF). See skills/generate-report/SKILL.md for examples and templates.
Example agent prompt:
Use the generate-report skill to create a short Bitcoin price report (current price, 24h change, 7d change) in markdown and PDF. Include source URLs.