ApocData-skill: ApocData · AI-native financial database for China A-share market

by ApocData · MCP Server · ★ 102

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Featured in: MCP Database Tools

Security audit verdict: SAFE · quality 74/100

Flagged: install step in a code block runs a script from an untrusted host. 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.

ai-agentannouncementschina-stockschineseclaudecursordeepseekfinancefinancial-datamcp-server

Quick Facts

Stars102
Forks1
LanguageShell
CategoryMCP Server
LicenseApache-2.0
Quality Score74/100
Open Issues1
Last Updated2026-10-14
Created2026-05-25
Platformsclaude-code, cli, mcp
Est. Tokens~14k

About ApocData-skill

天启至数 Apocdata — A股数据服务 (Apocdata A-Share Data Skill) English | 简体中文 ## Let AI read A-share announcements The A-share announcements and fundamentals database built for AI · parsed · structured · traceable All-market announcements parsed into structured data: AI summary · category · importance · sentiment, fully traceable to source.

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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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