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Security App Wealth Advisor

作者 lingfeng-19 · GitHub ↗ · v3.0.0 · MIT-0
cross-platform ✓ 安全检测通过
102
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当前安装
1
版本数
在 OpenClaw 中安装
/install bank-app-wealth-advisor
功能描述
AI-powered wealth advisor for bank apps offering personalized product recommendations, investment consulting, financial planning, and compliance-checked cust...
使用说明 (SKILL.md)

\r \r

Bank APP Wealth Advisor Assistant / 银行APP财富顾问助手\r

\r

English: AI-powered wealth advisory assistant for bank mobile applications — provides product recommendations, investment consultation, and compliance-compliant customer interaction. Built for digital banking teams.\r \r 中文: 银行APP财富顾问助手——为手机银行提供产品推荐、投资咨询、合规客户交互。适用:数字银行团队、财富管理师。\r \r ---\r \r

Industry Pain Points / 行业痛点\r

\r | Pain Point / 痛点 | Impact / 影响 | Solution / 本Skill解决方案 |\r |------------------|-------------|------------------------|\r | APP用户粘性低 | 用户用完即走,无深度服务 | AI投顾提升个性化体验 |\r | 产品匹配效率低 | 人工推荐成本高 | 智能产品匹配引擎 |\r | 合规要求严 | 监管禁止虚假宣传 | 合规话术自动检查 |\r | 服务覆盖有限 | 人工客服无法7x24 | AI24小时在线解答 |\r | 交叉销售难 | 客户画像不完整 | 多维度客户分析 |\r \r ---\r \r

Trigger Keywords / 触发关键词\r

\r English Triggers: bank APP, wealth advisor, digital banking, mobile banking, AI advisor, product recommendation, financial planning, customer service\r \r 中文触发词(优先): 银行APP / 财富顾问 / 智能投顾 / 手机银行 / 数字银行 / 产品推荐 / 理财咨询 / 基金销售 / 资产配置 / 客户分层 / 交叉销售 / 合规话术 / 智能客服 / 风险测评 / 适当性匹配\r \r ---\r \r

Core Capabilities / 核心能力\r

\r

1. Product Matching Engine / 产品匹配引擎\r

\r

class WealthAdvisor:\r
    """智能财富顾问"""\r
    \r
    def match_products(self, customer_profile: dict, \r
                      available_products: list) -> list:\r
        """\r
        智能产品匹配\r
        Args:\r
            customer_profile: 客户画像\r
            available_products: 可选产品列表\r
        """\r
        # 风险匹配\r
        risk_level_map = {\r
            "保守型": ["R1", "R2"],\r
            "稳健型": ["R1", "R2", "R3"],\r
            "平衡型": ["R2", "R3", "R4"],\r
            "成长型": ["R3", "R4", "R5"],\r
            "激进型": ["R4", "R5"]\r
        }\r
        \r
        allowed_risk = risk_level_map.get(\r
            customer_profile.get("risk_preference", "稳健型"), ["R2", "R3"]\r
        )\r
        \r
        # 收益匹配\r
        expected_return = customer_profile.get("expected_return", 0.05)\r
        \r
        matched = []\r
        for product in available_products:\r
            # 风险等级过滤\r
            if product["risk_level"] not in allowed_risk:\r
                continue\r
            \r
            # 收益率匹配\r
            if product["expected_return"] >= expected_return - 0.02:\r
                score = self._calculate_match_score(\r
                    customer_profile, product\r
                )\r
                matched.append({\r
                    **product,\r
                    "match_score": score,\r
                    "recommendation_reason": self._generate_reason(\r
                        customer_profile, product\r
                    )\r
                })\r
        \r
        return sorted(matched, key=lambda x: x["match_score"], reverse=True)\r
    \r
    def _calculate_match_score(self, customer: dict, \r
                               product: dict) -> float:\r
        """计算匹配度评分"""\r
        score = 100\r
        \r
        # 期限匹配\r
        preferred_term = customer.get("preferred_term", 365)\r
        product_term = product.get("term_days", 365)\r
        term_diff = abs(preferred_term - product_term) / 365\r
        score -= term_diff * 10\r
        \r
        # 起购金额\r
        if product.get("min_amount", 0) > customer.get("available_fund", 0):\r
            score -= 30\r
        \r
        # 收益率\r
        expected = customer.get("expected_return", 0.05)\r
        actual = product.get("expected_return", 0)\r
        if actual >= expected:\r
            score += 10\r
        else:\r
            score -= abs(actual - expected) * 100\r
        \r
        return max(0, min(100, score))\r
```\r
\r
### 2. Investment Consultation Scripts / 投资咨询话术\r
\r
```python\r
INVESTMENT_SCRIPTS = {\r
    "基金购买引导": {\r
        "场景": "客户咨询基金",\r
        "话术": """\r
        "您好!根据您的风险测评结果【{risk_level}】,\r
        我推荐您关注【{fund_name}】基金。\r
        \r
        这只基金的特点:\r
        • 基金类型:{fund_type}\r
        • 风险等级:{risk_level}\r
        • 近一年收益:{return_1y}%\r
        • 基金经理:{manager}(从业{years}年)\r
        \r
        适合您的理由:\r
        1. {reason_1}\r
        2. {reason_2}\r
        3. {reason_3}\r
        \r
        【风险提示】基金有风险,投资需谨慎。过往业绩不代表未来表现。\r
        请您根据自身情况谨慎决策。"\r
        """,\r
        "合规检查": [\r
            "不得承诺保本",\r
            "必须说明基金有风险",\r
            "过往业绩仅供参考"\r
        ]\r
    },\r
    \r
    "资产配置建议": {\r
        "场景": "客户有大额资金",\r
        "话术": """\r
        "张先生/女士,您好!\r
        \r
        根据您目前的资产状况,我们建议做一个科学的资产配置:\r
        \r
        【保守配置】40% → 银行存款+国债\r
        特点:安全稳健,适合保本需求\r
        \r
        【稳健配置】30% → 银行理财+债券基金\r
        特点:收益稳健,波动较小\r
        \r
        【成长配置】20% → 混合基金+股票基金\r
        特点:追求较高收益,承担一定风险\r
        \r
        【流动性】10% → 货币基金\r
        特点:随存随取,应急备用\r
        \r
        这个配置方案可以帮助您分散风险,\r
        同时实现资产的稳健增值。"\r
        """\r
    }\r
}\r
```\r
\r
### 3. Compliance Check / 合规检查\r
\r
```markdown\r
## APP投顾合规检查清单\r
\r
### 必须包含的要素\r
| 检查项 | 要求 |\r
|-------|------|\r
| 风险提示 | 必须出现"投资有风险" |\r
| 收益说明 | 不得承诺保本保收益 |\r
| 历史业绩 | 必须注明"仅供参考" |\r
| 适当性 | 必须匹配客户风险等级 |\r
| 产品揭示 | 必须包含产品说明书链接 |\r
\r
### 禁止用语\r
| 禁止 | 替代 |\r
|-----|------|\r
| "保本" | "相对稳健" |\r
| "稳赚不赔" | "追求稳健收益" |\r
| "最低收益X%" | "历史平均收益X%" |\r
| "100%安全" | "风险可控" |\r
```\r
\r
---\r
\r
## Disclaimer\r
\r
This skill provides wealth advisory tools for educational purposes. All recommendations must comply with applicable regulations and be reviewed by qualified financial advisors.\r
安全使用建议
This result is low confidence because the artifact directory and metadata could not be read during the scan; rerun the review with accessible artifacts before treating the skill as cleared.
能力评估
Purpose & Capability
No SKILL.md or artifact content was available from the user message, and workspace inspection failed before files could be read.
Instruction Scope
No artifact instructions were available to assess for overbroad or unsafe scope.
Install Mechanism
No install specification could be read, so no artifact-backed install risk was identified.
Credentials
No artifact evidence showed environment access, local data access, persistence, or mutation authority.
Persistence & Privilege
No artifact evidence showed persistent behavior, privilege escalation, credential handling, or background operation.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install bank-app-wealth-advisor
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /bank-app-wealth-advisor 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v3.0.0
Major update: Comprehensive feature and compliance upgrades for digital wealth advisory in China’s banking apps. - Added a core product matching engine for personalized investment product recommendations based on customer profile and risk. - Introduced investment consultation scripts in both Chinese and English, with compliance reminders and contextual product information. - Implemented compliance checklists to ensure advisory communications meet regulatory standards (e.g., risk warnings, restricted language). - Clearly defined target audience as China commercial bank digital banking teams and wealth managers. - Expanded documentation with pain point analysis and detailed trigger keywords for banking app scenarios.
元数据
Slug bank-app-wealth-advisor
版本 3.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Security App Wealth Advisor 是什么?

AI-powered wealth advisor for bank apps offering personalized product recommendations, investment consulting, financial planning, and compliance-checked cust... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 102 次。

如何安装 Security App Wealth Advisor?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install bank-app-wealth-advisor」即可一键安装,无需额外配置。

Security App Wealth Advisor 是免费的吗?

是的,Security App Wealth Advisor 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Security App Wealth Advisor 支持哪些平台?

Security App Wealth Advisor 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Security App Wealth Advisor?

由 lingfeng-19(@gechengling)开发并维护,当前版本 v3.0.0。

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