by rootSunc · MCP Server · ★ 125
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
| Stars | 125 |
| Forks | 24 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 55/100 |
| Open Issues | 3 |
| Last Updated | 2026-08-15 |
| Created | 2026-06-28 |
| Platforms | mcp, python |
| Est. Tokens | ~13k |
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;...
These tools work well together with ashare-lake for enhanced workflows:
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.
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
algorithmic trading curated list quant finance trading bots backtesting technical analysis crypto open-source
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 · AI-native financial database for China A-share market. Drop-in Skill / MCP for Claude,ChatGPT, Qwen
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。
Agent-driven alpha factory — LLM autonomously designs, backtests, and submits factors to WorldQuant BRAIN
Explore other popular mcp server tools:
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: