Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
PineTS - PineScript executor
Run Pine Script indicators from the command line using pinets-cli. Use when asked to execute, test, or analyze Pine Script indicators, calculate technical an...
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Run Pine Script indicators from the command line using pinets-cli. Use when asked to execute, test, or analyze Pine Script indicators, calculate technical an...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- alaa-eddine
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
pinets-cli โ Run Pine Script Indicators from the Terminal
pinets is a CLI tool that executes TradingView Pine Script indicators via the PineTS runtime. It outputs structured JSON with calculated indicator values.
Installation
# Global install npm install -g pinets-cli # Or run directly with npx (no install needed) npx pinets-cli run indicator.pine --symbol BTCUSDT -q Verify (if installed globally): pinets --version When using npx, replace pinets with npx pinets-cli in all examples below.
Core command
pinets run [file] [options] The indicator can be a file argument or piped from stdin.
Data source (one required)
FlagDescription-s, --symbol <ticker>Symbol from Binance (e.g., BTCUSDT, ETHUSDT, SOLUSDT.P for futures)-t, --timeframe <tf>Candle timeframe: 1, 5, 15, 30, 60, 120, 240, 1D, 1W, 1M (default: 60)-d, --data <path>JSON file with candle data (alternative to --symbol)
Output
FlagDescription-o, --output <path>Write to file instead of stdout-f, --format <type>default (plots only) or full (plots + result + marketData)--prettyPretty-print JSON--cleanFilter out null, false, and empty values from plot data--plots <names>Comma-separated list of plot names to include (default: all)-q, --quietSuppress info messages (essential when parsing stdout)
Candle control
FlagDescription-n, --candles <N>Number of output candles (default: 500)-w, --warmup <N>Extra warmup candles excluded from output (default: 0)
Debug
FlagDescription--debugShow transpiled JavaScript code (to stderr)
Run a .pine file with live Binance data
pinets run indicator.pine --symbol BTCUSDT --timeframe 60 --candles 100 -q
Run with warmup (important for long-period indicators)
# EMA 200 needs at least 200 bars to initialize pinets run ema200.pine -s BTCUSDT -t 1D -n 100 -w 200 -q
Pipe Pine Script from stdin
echo '//@version=5 indicator("RSI") plot(ta.rsi(close, 14), "RSI")' | pinets run -s BTCUSDT -t 60 -n 20 -q
Run with custom JSON data
pinets run indicator.pine --data candles.json --candles 50 -q
Save output to file
pinets run rsi.pine -s BTCUSDT -t 60 -o results.json -q
Get full execution context
pinets run indicator.pine -s BTCUSDT -f full -q --pretty
Filter signals with --clean (for signal-based indicators)
# Without --clean: 500 entries, mostly false pinets run ma_cross.pine -s BTCUSDT -t 1D -n 500 -q # With --clean: Only actual signals pinets run ma_cross.pine -s BTCUSDT -t 1D -n 500 --clean -q
Select specific plots with --plots
# Get only RSI, ignore bands pinets run rsi_bands.pine -s BTCUSDT --plots "RSI" -q # Get only Buy and Sell signals pinets run signals.pine -s BTCUSDT --plots "Buy,Sell" -q # Combine both: only signals, only true values pinets run signals.pine -s BTCUSDT --plots "Buy,Sell" --clean -q
default format
{ "indicator": { "title": "RSI", "overlay": false }, "plots": { "RSI": { "title": "RSI", "options": { "color": "#7E57C2" }, "data": [ { "time": 1704067200000, "value": 58.23 }, { "time": 1704070800000, "value": 61.45 } ] } } }
full format
Adds result (raw return values per bar) and marketData (OHLCV candles) to the default output.
JSON data format (for --data)
[ { "openTime": 1704067200000, "open": 42000.5, "high": 42500.0, "low": 41800.0, "close": 42300.0, "volume": 1234.56, "closeTime": 1704070799999 } ] Required fields: open, high, low, close, volume. Recommended: openTime, closeTime.
Pine Script quick reference
pinets-cli accepts standard TradingView Pine Script v5+: //@version=5 indicator("My Indicator", overlay=false) // Technical analysis functions rsi = ta.rsi(close, 14) [macdLine, signalLine, hist] = ta.macd(close, 12, 26, 9) sma = ta.sma(close, 20) ema = ta.ema(close, 9) bb_upper = ta.sma(close, 20) + 2 * ta.stdev(close, 20) // Output โ each plot() creates a named entry in the JSON output plot(rsi, "RSI", color=color.purple)
Important notes
Always use -q when parsing JSON output programmatically. Warmup matters: Indicators with long lookback periods (SMA 200, EMA 200) produce NaN for the first N bars. Use --warmup to pre-feed the indicator. time values are Unix timestamps in milliseconds. Errors go to stderr with exit code 1. The tool bundles PineTS internally โ no additional npm packages are needed at runtime.
Warmup recommendations
IndicatorMinimum warmupSMA(N) / EMA(N)NRSI(14)30MACD(12,26,9)50Bollinger Bands(20)30SMA(200)200+ Rule of thumb: set warmup to 1.5x-2x the longest lookback period.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
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Package contents
Included in package
1 Docs
- SKILL.md