#1
LLM驱动的 A/H/美股智能分析：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets.
52K starsJun 29, 2026 pushfinancePythonFinance
$ npx skills add ZhuLinsen/daily_stock_analysisAlternatives
Option Pricing Models alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Option Pricing Models
Simple python/streamlit web app for European option pricing using Black-Scholes model, Monte Carlo simulation and Binomial model. Spot prices for the underlying are fetched from Yahoo Finance API.
46
Quality
69
Trust
329
Stars
#2
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
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$ npx skills add microsoft/qlib#3
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$ npx skills add vnpy/vnpy#4
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$ npx skills add RyanCodrai/turbovec#6
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$ npx skills add polakowo/vectorbt#7
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$ npx skills add firefly-iii/firefly-iii#8
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27K starsJun 13, 2026 pushfinanceC++Finance
$ npx skills add Fincept-Corporation/FinceptTerminal#9
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$ npx skills add StockSharp/StockSharp#10
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$ npx skills add ccxt/ccxt#11
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$ npx skills add freqtrade/freqtrade#13
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$ npx skills add plotly/dash#14
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$ npx skills add hummingbot/hummingbot#15
Wallos: Open-source, self-hostable personal subscription tracker. Visualize your recurring expenses, manage your budget, and save money.
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$ npx skills add ellite/Wallos#16
An advanced crypto trading bot written in Python
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$ npx skills add jesse-ai/jesseHow to choose
When should you switch?
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Option Pricing Models if it already passes your workflow test and repository review.
Next step
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Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.