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基于资产变化、交易活跃度、渠道行为、产品持有变化等多维信号，识别客户流失风险等级，输出预警结论和建议跟进动作。
Passed 20 of 25 test cases with the skill, and 5 of 25 without it.
and 19 more in the full report
16 fixed4 passed either way4 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 16 test cases the skill fixed. Same model, same prompt, with and without the skill.
客户 CUST-992011 近6个月AUM波动在500万至510万之间，月均交易12笔，渠道登录和产品持有无明显异常变化。请评估其流失风险等级。
| Checked | Without skill | With skill |
|---|---|---|
| Classify the customer risk level as '暂无风险'. | Missed | Passed |
| State that metrics remain within normal fluctuation ranges. | Missed | Passed |
The instructions your model reads when the skill loads.
银行零售客户流失往往有先兆信号，如AUM持续下降、交易频次骤减、产品逐步赎回等。但客户经理管户数量多，难以逐一跟踪每位客户的行为变化。需要系统化监测多维度流失信号，及时识别高风险客户并推送预警，为客户挽留争取时间窗口。
| 输入项 | 说明 | 是否必填 |
|---|---|---|
| 客户编号/客户列表 | 单个或批量客户标识 | 必填 |
| AUM变化数据 | 近1/3/6个月AUM及变化趋势 | 必填 |
| 交易活跃度 | 交易频次、金额变化趋势 | 必填 |
| 渠道行为 | 手机银行/网银登录频次变化 | 选填 |
| 产品持有变化 | 产品赎回、到期未续、持有数量变化 | 选填 |
| 客户关系信号 | 客户经理互动频次、服务工单、投诉记录 | 选填 |
| 服务体验 | 满意度评分变化、近期投诉情况 | 选填 |
| 客户价值层级 | 当前分层结果（如有） | 选填 |
test cases passed, vs 5 / 25 without
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