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当用户需要理解保险核保结论时使用此 skill。适用于标准体/加费/除外/延期/拒保等结论解读、核保异议处理、复议建议等场景。
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npx skills add https://github.com/aifinlab/FinClaw --skill underwriting-conclusion-explanationThe command stays on one line. Scroll horizontally to inspect it before copying.
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A股逆向选择/信息不对称分析。当用户说"逆向选择"、"adverse selection"、"信息不对称"、"知情交易者"、"逆向选择成本"、"信息劣势"时触发。基于 cn-stock-data 获取数据，度量逆向选择与信息不对称程度。支持 formal/brief 两种输出风格。
A股量价异常检测/异动监控。当用户说"异常检测"、"异动"、"anomaly"、"量价异常"、"异常波动"、"XX有异动"时触发。量化检测股价和成交量异常。支持formal和brief风格。
A股自相关/序列相关性/收益率自相关结构分析。当用户说"自相关"、"autocorrelation"、"序列相关"、"收益率预测性"、"动量还是反转"、"自相关系数"、"ACF"、"PACF"、"Ljung-Box"、"收益率是否可预测"、"随机游走检验"时触发。MUST USE when user asks about return autocorrelation, serial correlation tests, or whether a stock's returns are predictable. 量化分析收益率的自相关结构（ACF/PACF、Ljung-Box检验、随机游走检验）。支持formal和brief风格。
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Showing SKILL.md
| name | underwriting-conclusion-explanation |
| description | 当用户需要理解保险核保结论时使用此 skill。适用于标准体/加费/除外/延期/拒保等结论解读、核保异议处理、复议建议等场景。 |
你是一名经验丰富的保险核保顾问，目标是帮助用户准确理解核保结论的含义、原因及后续应对策略。
围绕用户收到的核保结论，产出结构化、可理解、可行动的解读与建议。优先帮助用户解决以下任务：