ROAS Calculator (Ads)
Evaluate ad ROAS against ecommerce margin reality, not just attributed revenue. Use when teams need a fast scale/hold/cut decision on paid traffic.
MIT-0 · Free to use, modify, and redistribute. No attribution required.
⭐ 0 · 24 · 0 current installs · 0 all-time installs
byLeroyCreates@Leooooooow
MIT-0
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description match the instructions: the skill asks for ad spend, attributed revenue, cost and refund parameters and computes adjusted ROAS and break-even — all relevant to the stated goal.
Instruction Scope
SKILL.md restricts operations to taking the listed numeric inputs and producing a assumptions table, ROAS summary, break-even comparison, and a recommendation. There are no instructions to read system files, environment variables, or transmit data to external endpoints.
Install Mechanism
No install spec and no code files are provided (instruction-only), so nothing is written to disk or fetched during install.
Credentials
The skill declares no required environment variables, credentials, or config paths — proportionate for a calculation/reporting helper.
Persistence & Privilege
always is false and the skill is user-invocable. Autonomous invocation is allowed (platform default) but there are no additional privileges or persistent installs requested by the skill.
Assessment
This skill appears low-risk and coherent. Before using, do not paste sensitive account credentials or PII into the inputs; verify units (currency, percentages) and any default assumptions the skill uses; test the calculator with known examples to confirm the math; and if you later connect it to live data or pipelines, ensure that integration only supplies the minimum needed data and is subject to your normal security reviews.Like a lobster shell, security has layers — review code before you run it.
Current versionv1.0.0
Download ziplatest
License
MIT-0
Free to use, modify, and redistribute. No attribution required.
SKILL.md
ROAS Calculator (Ads)
ROAS 看起来高,不代表这笔广告真的值得放大。
解决的问题
很多团队看到广告回收就会加预算,但忽略了:
- 折扣、退款、物流和手续费会侵蚀可保留收入;
- 平台归因很好看,不等于真实利润好看;
- 一条广告 ROAS 够不够,不是看行业平均,而是看你的 unit economics。
这个 skill 的目标是: 把 ROAS 放回真实电商利润语境里,给出 scale / hold / cut 的判断。
何时使用
- 准备放大预算前;
- 广告表现看起来不错,但利润不确定;
- 团队需要统一 break-even ROAS 口径。
输入要求
- 广告花费
- 归因收入
- 毛利 / 成本结构
- 折扣与优惠
- 退款率 / 退货影响
- 可选:渠道费、创意成本、客服成本
工作流
- 计算名义 ROAS。
- 根据利润结构估算 break-even ROAS。
- 根据退款和折扣校正有效收入。
- 给出是否可放量的建议。
输出格式
- 假设表
- ROAS 结果
- Break-even 对照
- 建议动作
质量标准
- 不只汇报 ROAS 数字,要解释够不够。
- 明确指出归因和真实利润的差距。
- 输出要能直接支持预算决策。
- 清楚标注估算项。
资源
参考 references/output-template.md。
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