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 jwangkun · Claude Skill · ★ 706
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-for-financial-services-cn safe to install? View the security audit →
claude-for-financial-services-cn 🇨🇳 63 个 Claude Skills，为 A 股金融从业者而生 基于 Anthropic 官方 claude-for-financial-services 深度适配国内市场，现已开源。 这是什么？ 一套可以直接给 Claude 装上的 金融专业技能包。装了之后，你跟 Claude 说"帮我写一份茅台年报点评"或者"建一个宁德时代的 DCF 模型"，它就知道 A 股的格式、数据源和会计准则，直接出活儿。 一句话：把 Anthropic 为华尔街投行做的 AI 助手，搬到了 A 股。 ⚡ 一分钟上手 然后直接跟 Claude 对话： 🧰 63 个 Skills 全览 china-finance（31 个）— A 股研究核心 | /
| Stars | 706 |
| Forks | 115 |
| Language | Python |
| Category | Claude Skill |
| License | Apache-2.0 |
| Quality Score | 57.5146019918449/100 |
| Open Issues | 2 |
| Last Updated | 2026-06-09 |
| Created | 2026-06-07 |
| Platforms | claude-code, python |
| Est. Tokens | ~40k |
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claude-for-financial-services-cn is 63 个 Claude Skills，为 A 股金融从业者而生 基于 Anthropic 官方 claude-for-financial-services 深度适配国内市场，现已开源。. It is categorized as a Claude Skill with 706 GitHub stars.
claude-for-financial-services-cn is primarily written in Python.
You can find installation instructions and usage details in the claude-for-financial-services-cn GitHub repository at github.com/jwangkun/claude-for-financial-services-cn. The project has 706 stars and 115 forks, indicating an active community.
claude-for-financial-services-cn is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to claude-for-financial-services-cn on Agent Skills Hub include claude-codex-settings, digital-marketing-pro, life-sciences. 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: