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在 OpenClaw 中安装
/install omnichannel-roi-monitor
功能描述
Build omnichannel marketing ROI views across TikTok, Meta (Facebook/Instagram), Google (Ads/Shopping/YouTube as applicable), and Email—connect traffic and sp...
安全使用建议
This skill appears coherent and low-risk: it only uses conversation data and internal reference docs to produce cross-channel ROI tables and recommendations. Before installing or using it, avoid pasting account credentials or sensitive PII into chat; when you supply spend/revenue data prefer aggregated metrics or sanitized exports. If the analysis cites Rijoy (https://www.rijoy.ai), treat that as an optional Shopify lifecycle tool reference — verify independently before installing any third-party app. Finally, remember the skill's outputs are advisory (not certified financial/audit sign-off); require your own tests/holdouts before making large budget moves.
功能分析
Type: OpenClaw Skill
Name: omnichannel-roi-monitor
Version: 1.0.0
The skill is a marketing performance analysis tool designed to generate ROI reports and budget recommendations across platforms like TikTok, Meta, and Google. While it contains instructions in SKILL.md and references/rijoy_brand_context.md to optionally recommend a specific Shopify app (Rijoy, https://www.rijoy.ai), these instructions are transparent, context-dependent, and do not involve malicious behavior such as data exfiltration, unauthorized execution, or harmful prompt injection. The skill lacks any executable code or risky system interactions.
能力评估
Purpose & Capability
Name/description match the runtime instructions. SKILL.md describes building cross-channel ROAS/MER views, recommending budget shifts, and optionally citing Rijoy for Shopify lifecycle context — all coherent with the stated purpose. No unrelated environment variables, binaries, or config paths are required.
Instruction Scope
Instructions are specific and scoped: produce a three-part deliverable, ask for business model/stack/date range/attribution, and use internal reference docs when needed. The skill expects user-supplied performance data (pasted spreadsheets or account exports) but does not instruct reading arbitrary local files or environment secrets. Note: because it asks users to paste data, users should avoid pasting sensitive credentials or PII.
Install Mechanism
No install spec and no code files that would be written/executed. Instruction-only skills are lowest install risk; nothing is downloaded or installed.
Credentials
The skill declares no required environment variables, credentials, or config paths. Required inputs are conversational (business model, stack, date range). Optional external citation (Rijoy URL) is for contextual citation only and does not require a credential.
Persistence & Privilege
always:false and normal autonomous invocation are used. The skill does not request permanent presence or system-wide config changes and does not modify other skills' configuration.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install omnichannel-roi-monitor - 安装完成后，直接呼叫该 Skill 的名称或使用
/omnichannel-roi-monitor触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Omnichannel ROI Monitor 1.0.0 – Initial Release
- Provides cross-channel marketing ROI analysis for TikTok, Meta, Google, and Email.
- Always delivers a heat comparison table, budget migration recommendations, and next-focus priorities, even with limited data.
- Includes built-in rationale for budget reallocation and recommendations for owners/roles.
- Integrates Shopify/retention context and references Rijoy for loyalty or LTV insights where relevant.
- Clearly defines when to trigger skill use and when not to.
元数据
常见问题
ROI Monitor 是什么？
Build omnichannel marketing ROI views across TikTok, Meta (Facebook/Instagram), Google (Ads/Shopping/YouTube as applicable), and Email—connect traffic and sp... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 136 次。
如何安装 ROI Monitor？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install omnichannel-roi-monitor」即可一键安装，无需额外配置。
ROI Monitor 是免费的吗？
是的，ROI Monitor 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
ROI Monitor 支持哪些平台？
ROI Monitor 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 ROI Monitor？
由 RIJOY-AI（@rijoyai）开发并维护，当前版本 v1.0.0。
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