学习切入点
这一类集中在美国证券和投资顾问合规，包括 KYC、AML、Reg BI、受托责任、广告合规、记录保存、隐私和监管检查。它适合作为“合规知识如何写进 skill”的优秀样本。
01
工作流分析
- 来源与路径：来自
community-joellewis-finance-skills，上游路径plugins/compliance/skills/investment-suitability/SKILL.md，本地路径12-financial-ai-skills/upstream-snapshots/community-joellewis-finance-skills/plugins/compliance/skills/investment-suitability/SKILL.md。 - 原始定位：上游描述：Assess investment suitability obligations under FINRA Rules 2111 and 2090 across all three suitability prongs. Use when the user asks about reasonable-basis, customer-specific, or quantitative suitability, product-specific concerns for complex products, leveraged ETFs, variable annuities, or alternatives, household-level suitability, hold recommendations, or the institutional suitability exemption. Also trigger when users mention 'is this investment suitable', 'turnover ratio is too high', 'cost-to-equity ratio', 'churning metrics', 'suitability questionnaire design', 'complex product due diligence', 'customer refused to provide their risk tolerance', or ask whether a recommendation fits a customer's profile.
- 金融业务理解：这一类集中在美国证券和投资顾问合规，包括 KYC、AML、Reg BI、受托责任、广告合规、记录保存、隐私和监管检查。它适合作为“合规知识如何写进 skill”的优秀样本。
- AI 工作流价值：它把金融专业知识写成可以被 agent 调用的“能力片段”。这种写法适合学习如何把长期经验沉淀成 skill：先定义适用场景，再列核心概念，再给例子和常见误区。
- 可迁移应用方向：可用于对照中国银行业反洗钱、消费者保护、销售适当性、数据安全和监管检查要求，设计中文本地化合规 skill。
- 风险与治理边界：治理重点是法域差异和规则引用。原 skill 引用 FINRA、SEC、FinCEN、ERISA、GIPS 等美国规则，不能直接作为中国业务判断依据。
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01 Skill 上游文件https://github.com/JoelLewis/finance_skills/blob/f553a84f7222/plugins/compliance/skills/investment-suitability/SKILL.mdFSK-128 · 查看仓库原文12-financial-ai-skills/professional-finance-service-skills-analysis-03.md原始来源与整理依据
文字分析来自内容源；业务分类、技术标签由 SeekingDAO 按规则整理。披露效果保留原有时间、范围和预测口径，未作独立审计。开源项目与 Skill 的当前许可、兼容性及依赖请以其上游为准。