ashare-lake: ASL · 本地可日更的 A 股研究湖 · 42 数据集 · MCP 供数 AI agent · 零 token 零注册

by rootSunc · MCP Server · ★ 125

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

Security audit verdict: SAFE · quality 55/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

a-shareai-agentaksharebacktestingchina-stocksdata-lakeduckdbfinancial-datafintechllm-tools

Quick Facts

Stars125
Forks24
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score55/100
Open Issues3
Last Updated2026-08-15
Created2026-06-28
Platformsmcp, python
Est. Tokens~13k

About ashare-lake

CNEquity · 中国市场金融数据湖 把多源的 A 股行情、基本面、事件与宏观数据,落到一份可日更、可回查的本地 Parquet 数据湖。 42 个数据集 · Python / DuckDB / Polars / MCP 只读控制台 · 真实截图:每个数据集的分层、采集语义、分区粒度、水位、行数与体积 快速开始 · 数据集目录 · 研究 Recipes · 接入 AI Agent CNEquity 开源、免注册、自托管。它不负责给出交易信号,而是把分散在不同来源、不同口径、不同更新节奏的数据,长期保存在自己的机器或服务器上,并且说明每一行从哪里来、何时采到、截至哪一天可用。 为什么要一个数据湖 发出一次 API 请求通常不是最费事的部分。真正困难的是长期保持研究口径一致: 多源一致性:字段、代码体系、更新节奏和可回补范围并不相同;...

Compatible Skills

These tools work well together with ashare-lake for enhanced workflows:

  • quant-buddy-skills — semantic(0.54)+complementary+rare_topics+same_lang+similar_pop+shared_platform (84%)
  • hhxg-top-hhxg-python — semantic(0.53)+complementary+rare_topics+same_lang+similar_pop+shared_platform (83%)
  • FTShare-skills — semantic(0.45)+complementary+rare_topics+same_lang+similar_pop+shared_platform (79%)
  • Tushare-Finance-Skill-for-Claude-Code — semantic(0.48)+complementary+rare_topics+same_lang+similar_pop+shared_platform (76%)

ashare-lake alternative? Top 6 similar tools

Looking for a ashare-lake alternative? If you're comparing ashare-lake 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.

  • tradex-hub by wolfjkd · ⭐ 71

    A股 AI 金融智能决策中台 · 168 个 MCP 工具 · eltdx 通达信协议 + akshare + 同花顺 + 东财 + 本地数据 · SmartRouter 多源降级路由 · 免费零鉴权

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    algorithmic trading curated list quant finance trading bots backtesting technical analysis crypto open-source

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    A股 PEG 估值分析工具 — 彼得·林奇 PEG 投资法本地化实践 | A-share PEG valuation tool with AI-powered analysis

  • ApocData-skill by ApocData · ⭐ 102

    ApocData · AI-native financial database for China A-share market. Drop-in Skill / MCP for Claude,ChatGPT, Qwen

  • hhxg-top-hhxg-python by Niceck · ⭐ 75

    skills:一句话获取 A 股每日市场数据 — 赚钱效应、热门题材、连板天梯、游资龙虎榜。零配置,无需注册,无需 Token。

  • QuantGPT by Miasyster · ⭐ 499

    Agent-driven alpha factory — LLM autonomously designs, backtests, and submits factors to WorldQuant BRAIN

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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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