a-share-skill — security grade SAFE, quality 67/100

Security audit verdict: SAFE · quality 67/100

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 shouldnotappearcalm · MCP Server · ★ 242

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

🔒 Is a-share-skill safe to install? View the security audit →

About a-share-skill

a-share-skill 中文文档 / Chinese README: README.zh.md A collection of A-share (China Shanghai/Shenzhen) data-analysis and paper-trading skills for AI tools — built for stock analysis, quant trading, paper trading, and A-share workflows: : market data query and analysis : paper-trading execution and backtesting You can simply ask your AI to: Look up a stock's real-time quote, historical trend, technical indicators, events, and industry info Create a paper-trading account, view account details and full trade history, and place simulated orders Combine the broad market, your holdings, and account status to decide whether to buy, sell, hold, or do nothing today Trend-Pullback Strategies (main-board trend pullback) and (all-market trend pullback) are not open-sourced for now. For daily trading ideas, candidate scans, and position management, follow my Xiaohongshu (RED) account below — I keep posting updates there. Xiaohongshu (RED) Xiaohongshu Group <img width="280" alt="Xiaohongshu Group" src="https

a-shareagent-skillsakshareclaude-codeclaude-skillsmcppaper-tradingquantstock

Quick Facts

Stars242
Forks46
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score67.4141316700621/100
Last Updated2026-09-28
Created2026-03-17
Platformsclaude-code, mcp, python
Est. Tokens~14k

Compatible Skills

These tools work well together with a-share-skill for enhanced workflows:

  • joinquant-skill — semantic(0.36)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
  • hhxg-top-hhxg-python — semantic(0.35)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)
  • alphaevo — semantic(0.29)+complementary+rare_topics+same_lang+similar_pop+shared_platform (64%)
  • xtquantai — semantic(0.39)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • TradingAgents-AShare — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)

a-share-skill alternative? Top 6 similar tools

Looking for a a-share-skill alternative? If you're comparing a-share-skill 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.

  • ai-skills by sanjay3290 · ⭐ 422

    24 cross-platform agent skills for Claude Code, Cursor, Codex & Gemini CLI — databases, messaging, research, T

  • quant-buddy-skills by pseudo-longinus · ⭐ 190

    宽宝 QuantBuddy: 一整套面向Agent Invesment投资研究与决策的底层设施与能力的调用skill, 覆盖A股/港股/美股/期货/宏观/ETF的量化分析与计算。支持行情、估值、财务查询、选股筛选、因子计

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  • openfinclaw-cli by mirror29 · ⭐ 61

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  • SkillForge by tripleyak · ⭐ 855

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Frequently Asked Questions

What is a-share-skill?

a-share-skill is A股数据分析、量化选股与模拟交易 Skill 集合,支持实时行情、历史K线、技术指标、自定义交易策略与模拟买入、卖出交易账户. It is categorized as a MCP Server with 242 GitHub stars.

What programming language is a-share-skill written in?

a-share-skill is primarily written in Python. It covers topics such as a-share, agent-skills, akshare.

How do I install or use a-share-skill?

You can find installation instructions and usage details in the a-share-skill GitHub repository at github.com/shouldnotappearcalm/a-share-skill. The project has 242 stars and 46 forks, indicating an active community.

What license does a-share-skill use?

a-share-skill is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to a-share-skill?

The top alternatives to a-share-skill on Agent Skills Hub include ai-skills, quant-buddy-skills, agent-designer. 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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