Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
56+ financial data tools via Yahoo Finance. Auto-routes stock prices, fundamentals, earnings, dividends, options, crypto, forex, commodities, news, and more.
56+ financial data tools via Yahoo Finance. Auto-routes stock prices, fundamentals, earnings, dividends, options, crypto, forex, commodities, news, and more.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
56+ financial tools via Yahoo Finance. Prices, fundamentals, earnings, options, crypto, forex, commodities, news.
Please star Github if you like the skill. Also available for OpenWebUI. https://github.com/lkcair/yfinance-ai
Run from the skill directory: python3 -m venv .venv .venv/bin/python3 -m pip install -r requirements.txt Windows: use .venv\Scripts\python3 instead of .venv/bin/python3.
This skill is designed to be agnostic to OS and execution environment. It loads only essential context on first use and uses a single-shot interaction pattern for reliability. Basic usage pattern provided in TOOLS.md and the All Functions list in SKILL.md body.
If a command invocation uses complex shell quoting, it may fail in various environments. Use a here-doc style or a tiny helper script to avoid escaping issues. Crucially, ensure you are executing Python scripts using the interpreter from the skill's virtual environment. Simply calling python3 might not use the correct interpreter if the venv is not activated, leading to ModuleNotFoundError. Always use the full path to the venv's Python interpreter for execution, e.g.: /home/openclaw/.openclaw/venv/stocks/bin/python3 Ensure that all necessary packages (like pydantic for yfinance-ai) are installed within this specific venv using its associated pip command: /home/openclaw/.openclaw/venv/stocks/bin/pip install <package_name> Example robust pattern using a here-doc: /home/openclaw/.openclaw/venv/stocks/bin/python3 - << 'PY' import asyncio, sys sys.path.insert(0, '.') from yfinance_ai import Tools t = Tools() async def main(): r = await t.get_key_ratios(ticker='UNH') print(r) asyncio.run(main()) PY If complex inline scripts are problematic, wrap the call in a small Python script file in the workspace (e.g., in scripts/) and execute that script using the venv's Python interpreter.
See skill.json for the full list of 56+ functions, parameters, and trigger keywords. Categories: Quotes: get_stock_price, get_stock_quote, get_fast_info, get_historical_data Company: get_company_info, get_company_overview, get_company_officers Financials: get_income_statement, get_balance_sheet, get_cash_flow, get_key_ratios, get_financial_summary Earnings: get_earnings_history, get_earnings_dates, get_analyst_estimates, get_eps_trend Analyst: get_analyst_recommendations, get_analyst_price_targets, get_upgrades_downgrades Ownership: get_institutional_holders, get_insider_transactions, get_major_holders Dividends: get_dividends, get_stock_splits, get_corporate_actions Options: get_options_chain, get_options_expirations Market: get_market_indices, get_sector_performance, get_market_status Crypto/Forex/Commodities: get_crypto_price, get_forex_rate, get_commodity_price Compare: compare_stocks, get_peer_comparison, get_historical_comparison News: get_stock_news, get_sec_filings Utility: search_ticker, validate_ticker, run_self_test
Data from Yahoo Finance. Slight real-time delays possible. All functions are async — the asyncio.run() wrapper handles this. Works on Linux, macOS, and Windows (adjust venv path for Windows).
Data access, storage, extraction, analysis, reporting, and insight generation.
Largest current source with strong distribution and engagement signals.