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Agent Skill · 开发

influencer-roi(影响者投资回报率)

influencer-roi 用于整理文档、README、Markdown 和说明材料,适合在 OpenClaw 中需要把零散信息整理成结构清晰的文档时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

influencer-roi 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在开发类的 21,744 个 Skill 里排第 9,717。

总安装 2,571周安装 103GitHub Stars 公开资料未说明下载 832核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:influencer-roi(影响者投资回报率)
来源仓库:https://github.com/leooooooow/influencer-roi
安装命令:
openclaw skills install influencer-roi
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install influencer-roi

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

计算影响者营销活动的投资回报率与归因分析。追踪创作者内容带来的实际销售转化链路。influencer-roi 属于开发类 Skill,可作为该场景下的辅助能力补充。综合考虑产品因素对 ROI 影响的调节作用。输出多维度对比报表支持预算分配决策优化。需建立可靠的 UTM 参数与订单追踪体系基础。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install influencer-roi;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

influencer-roi 怎么安装?

在终端执行 openclaw skills install influencer-roi。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

influencer-roi 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

influencer-roi 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

influencer-roi 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

influencer-roi 用的人多吗?

公开数据是累计安装 2,571 次,近一周安装 103 次,下载 832 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

influencer-roi 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
influencer-roi

影响者投资回报率 · 本页

2,571—需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
influencer-roi
description
Calculate and compare return on investment across influencer partnerships by tracking attribution from creator content to actual sales, factoring in product seeding costs, commissions, and content licensing fees.

Influencer ROI

Influencer marketing spend is notoriously hard to measure because attribution is fragmented across platforms, discount codes get shared beyond the intended creator, and brands rarely account for hidden costs like product seeding, shipping samples, and content licensing fees. This skill solves that by building a comprehensive ROI model for each creator partnership, giving ecommerce operators a clear picture of which influencers actually drive profitable sales versus those who merely generate vanity metrics.

Use when

  • You want to compare the true cost-per-acquisition across five or more influencer partnerships on TikTok Shop or Instagram
  • A brand manager asks "which creators should we renew contracts with based on actual sales performance, not just views?"
  • You need to build a post-campaign report showing influencer ROI including product seeding costs, commissions paid, and content licensing fees
  • Your team is planning next quarter's creator budget and needs data-driven allocation recommendations across micro, mid-tier, and macro influencers

What this skill does

This skill takes your influencer campaign data — including creator names, content metrics, attributed sales, product costs, commission rates, and any additional fees — and calculates a detailed ROI breakdown for each partnership. It computes cost-per-acquisition (CPA), return on ad spend (ROAS), and net profit contribution per creator. The analysis accounts for direct attribution via discount codes and affiliate links, estimates assisted conversions from brand awareness lift, and flags partnerships where the all-in cost (seeding, shipping, commissions, licensing) exceeds the revenue generated. The output ranks creators by profitability so you can make confident renewal and budget allocation decisions.

Inputs required

  • Creator list with campaign data (required): A list of influencer names or handles along with their content performance metrics (views, clicks, engagements) and attributed sales figures. Example: "Creator A — 500K views, 2,300 clicks, 187 orders, $14,200 revenue"
  • Cost breakdown per creator (required): All costs associated with each partnership including product seeding value, shipping costs for samples, commission rate or flat fee, and any content licensing or usage rights fees. Example: "Creator A — $200 product cost, $15 shipping, 15% commission, $500 licensing fee"
  • Campaign time period (required): The date range for the campaign to normalize performance comparisons. Example: "March 1–31, 2026"
  • Attribution method (optional): Whether you track via discount codes, affiliate links, UTM parameters, or a combination. Specifying this helps the skill assess attribution confidence and flag potential leakage.
  • Target CPA or ROAS threshold (optional): Your internal benchmarks for what constitutes a profitable partnership. If provided, creators will be flagged as above or below target.

Output format

The output is structured as a multi-section report. The first section is an Executive Summary with total spend, total attributed revenue, blended ROAS, and blended CPA across all creators. The second section is a Creator Ranking Table sorted by net ROI, with columns for creator name, total cost (broken into sub-components), attributed revenue, net profit, ROAS, CPA, and a performance tier label (high-performer, break-even, underperformer). The third section provides Individual Creator Cards with detailed breakdowns showing cost composition pie chart descriptions, attribution confidence notes, and specific renewal recommendations. The fourth section is a Budget Reallocation Recommendation suggesting how to redistribute spend from underperformers to high-performers with projected impact estimates. All monetary values use the currency specified in inputs or default to USD.

Scope

  • Designed for: ecommerce operators, brand managers, DTC marketing teams, and influencer marketing agencies
  • Platform context: TikTok Shop, Instagram Shopping, YouTube Shopping, platform-agnostic creator partnerships
  • Language: English

Limitations

  • Does not pull live data from influencer platforms or affiliate networks — you must provide the campaign performance data manually or from exported reports
  • Attribution modeling for assisted conversions is estimated based on industry benchmarks rather than your specific multi-touch attribution setup
  • Does not account for long-term brand equity effects of influencer partnerships, focusing instead on direct and near-term measurable ROI

平台分布

OpenClaw

76.67%
按下载量换算638

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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