Return Rate Impact Calculator

Calculate how return rate affects ecommerce profit, CAC tolerance, and operational risk. Use when teams need to see how refunds and reverse logistics change...

Security Scan

This is an instruction-only calculator for modelling how returns affect ecommerce margins; its requests and instructions are consistent with that purpose and there is no evidence of hidden network access, credential requests, or disk installs.

Purpose & Capability

The name/description (return-rate impact on profit/CAC/risk) match the SKILL.md inputs and workflow. There are no unrelated required binaries, environment variables, or credentials.

Instruction Scope

SKILL.md limits the agent to taking numeric inputs, computing impacts, and producing a structured report using the included template. It does not instruct the agent to read system files, access external endpoints, or collect unrelated data.

Install Mechanism

No install spec and no code files — instruction-only skill. Nothing is written to disk or downloaded during install.

Credentials

The skill declares no required environment variables, credentials, or config paths. The inputs it asks for (sales, margins, return rate, handling costs, optional CAC/warehouse costs) are appropriate for the stated calculations.

Persistence & Privilege

always is false and default autonomous invocation is allowed (platform default). The skill does not request elevated persistence or modify other skills or system settings.

Assessment

This skill is instruction-only and appears coherent with its purpose. Before installing: (1) note it does not request any secrets or install code, so direct security risk is low; (2) treat outputs as analytic guidance — validate assumptions and calculations with your finance team before making decisions; (3) avoid entering sensitive PII (customer-identifying data) into the tool; (4) because the agent can invoke skills by default, review agent permissions/policy if you want to restrict autonomous runs. If you want higher assurance, ask the publisher for test cases or sample calculations so you can verify numeric correctness.

退货率不是售后指标而已，它会直接吞掉利润、预算空间和增长判断。

解决的问题

很多团队会盯 GMV、ROAS、AOV，但忽略了一个事实：

• 退货率一高，营收并不等于可保留营收；
• 售后、逆向物流、二次包装和损耗会继续吃利润；
• 表面上投放还能跑，实际可承受的 CAC 已经变低。

这个 skill 的目标是： 把 return rate 对利润和经营阈值的影响算清楚，避免用“未扣退货”的假象做决策。

何时使用

• 某个 SKU 退款率明显偏高；
• 想知道高退货类目是否还能继续放量；
• 评估政策、文案、尺码说明、预期管理是否要调整。

输入要求

• 订单量 / 销售额
• 售价与毛利
• 当前退货率 / 退款率
• 逆向物流、处理费、二次销售损耗
• 退款政策与是否可二次售卖
• 可选：获客成本、仓储和额外客服成本

工作流

1. 计算未考虑退货时的基础利润。
2. 计算退货带来的收入回吐和成本拖累。
3. 估算调整后的净利润与可承受 CAC。
4. 标记风险区间和优先修复动作。

输出格式

1. 核心假设表
2. 退货影响拆解
3. 调整后利润 / 阈值
4. 风险提醒与建议动作

质量标准

• 明确区分营收损失和额外成本损失。
• 输出对经营有用的阈值，而不只是一个百分比。
• 清楚说明哪些是假设值。
• 优先指出最值得修的环节。

资源

参考 references/output-template.md。