Flagged: installs a cron job. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by rootSunc · MCP Server · ★ 260
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is CNEquity safe to install? View the security audit →
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 · 39 curated + 3 derived · Python / DuckDB / Polars / MCP cne serve 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 ·
| Stars | 260 |
| Forks | 44 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 60.647163728698/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-19 |
| Created | 2026-06-28 |
| Platforms | mcp, python |
| Est. Tokens | ~17k |
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CNEquity is 中国 A 股数据基础设施。42 个日更数据集：行情、基本面、资金面、公告事件、指数行业、宏观与风险。行级溯源、PIT 语义、复权与历史成分内置，MCP 原生。自托管，零注册、零 API Token. It is categorized as a MCP Server with 260 GitHub stars.
CNEquity is primarily written in Python. It covers topics such as a-shares, ai-agent, akshare.
You can find installation instructions and usage details in the CNEquity GitHub repository at github.com/rootSunc/CNEquity. The project has 260 stars and 44 forks, indicating an active community.
CNEquity is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to CNEquity on Agent Skills Hub include PanWatch, maverick-mcp, QuantGPT. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: