trading_skills — security grade SAFE, quality 71/100

Security audit verdict: SAFE · quality 71/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by staskh · MCP Server · ★ 364

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About trading_skills

Trading Skills — AI-Powered Market Analysis Most retail traders juggle 5+ tabs — broker, charting platform, screener, news feed, spreadsheet — just to decide whether to enter a trade. This project collapses all of that into a single conversational interface powered by Claude. Ask a question in plain English, get back real data: technicals, fundamentals, option Greeks, risk metrics, earnings dates, correlation matrices, and full PDF reports. Connect your Interactive Brokers account and it manages your portfolio too — finds roll candidates for expiring shorts, flags earnings risk, and generates action reports. Who is this for? Retail options traders who sell premium, run PMCCs, or manage covered calls Self-directed investors who want quick fundamental + technical scans without switching tools Python-literate traders who want to extend the analysis with custom scripts IBRK users who want AI-assisted portfolio management Quick example — scan for bullish setups and check PMCC viability: Another example — correlation check before adding to a portfolio: You: Show correlation for SPY,GOOG,NVDA,ZM,RTX,PFE,XOM C

ai-tradingclaudeclaude-skillsmcp-serveroption-tradingoptions-trading

Quick Facts

Stars364
Forks82
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score70.6032962373745/100
Open Issues19
Last Updated2026-09-13
Created2026-02-21
Platformsclaude-code, mcp, python
Est. Tokens~16k

Compatible Skills

These tools work well together with trading_skills for enhanced workflows:

  • ClawForge — semantic(0.60)+complementary+rare_topics+same_lang+similar_pop+shared_platform (70%)
  • ai-hedge-fund-crypto — semantic(0.48)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)
  • indian-trading-skills — semantic(0.47)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)
  • crypto-trading-arena — semantic(0.54)+complementary+same_lang+similar_pop+shared_platform (64%)
  • alpaca-mcp-server — semantic(0.54)+rare_topics+same_lang+similar_pop+shared_platform (58%)

trading_skills alternative? Top 6 similar tools

Looking for a trading_skills alternative? If you're comparing trading_skills with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • ccxt-mcp by lazy-dinosaur · ⭐ 93

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  • claude-emporium by Vvkmnn · ⭐ 84

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Frequently Asked Questions

What is trading_skills?

trading_skills is Claude powered advisor system for option traders. It is categorized as a MCP Server with 364 GitHub stars.

What programming language is trading_skills written in?

trading_skills is primarily written in Python. It covers topics such as ai-trading, claude, claude-skills.

How do I install or use trading_skills?

You can find installation instructions and usage details in the trading_skills GitHub repository at github.com/staskh/trading_skills. The project has 364 stars and 82 forks, indicating an active community.

What license does trading_skills use?

trading_skills is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to trading_skills?

The top alternatives to trading_skills on Agent Skills Hub include Equibles, ccxt-mcp, claude-emporium. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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