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RFM Segmenter
作者
LeroyCreates
· GitHub ↗
· v1.0.0
· MIT-0
78
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install rfm-segmenter
功能描述
Segment your customer base by Recency, Frequency, and Monetary value to identify VIPs, at-risk churners, and dormant buyers, then generate targeted re-engage...
安全使用建议
This skill is coherent for RFM analysis and doesn't request credentials or install code, but it requires customer transaction data which can include personal data. Before using: (1) avoid pasting raw PII — replace emails/names with hashed or surrogate IDs where possible; (2) remove or mask sensitive fields (payment details, full addresses) you do not want processed; (3) test with a small anonymized sample first to confirm output format and thresholds; (4) retain compliance with your privacy policy and applicable laws (GDPR/CCPA) before sharing customer data; (5) remember the results are guidance — manually review score thresholds and recommendations for your business context. If you need the skill to run against live systems or to store outputs, plan secure integrations instead of pasting sensitive exports into a chat.
功能分析
Type: OpenClaw Skill
Name: rfm-segmenter
Version: 1.0.0
The skill is a standard marketing analysis tool designed to perform RFM (Recency, Frequency, Monetary) segmentation on customer data. The provided files (SKILL.md and _meta.json) contain only descriptive instructions and metadata, with no executable code, suspicious network calls, or attempts to exfiltrate sensitive information beyond the user-provided transaction data required for the analysis.
能力标签
能力评估
Purpose & Capability
Name, description, and required inputs (CSV transaction export, analysis timeframe, business context) align with an RFM segmentation/reporting assistant. There are no unrelated binaries, credentials, or config paths requested.
Instruction Scope
SKILL.md limits runtime behavior to asking for transaction data and business context, computing RFM scores, and producing a segmentation report and marketing recommendations. It explicitly states it does not connect to ecommerce platforms or CRMs directly. The instructions do not ask the agent to read system files, environment variables, or to contact unexpected external endpoints.
Install Mechanism
No install spec or code is included; the skill is instruction-only, which minimizes on-disk install risk.
Credentials
The skill requests uploaded or pasted customer transaction data (expected). It does not request credentials or environment variables. However, the required input may contain personal data (emails, names, order details), so supplying full PII is a privacy risk that the user should manage (redaction/hashing, compliance with privacy rules).
Persistence & Privilege
Flags show no forced persistence (always:false) and the skill does not request modification of other skills or system settings. Autonomous invocation is allowed by default but not combined with other concerning privileges.
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 rfm-segmenter - 安装完成后，直接呼叫该 Skill 的名称或使用
/rfm-segmenter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
Initial release.
元数据
常见问题
RFM Segmenter 是什么？
Segment your customer base by Recency, Frequency, and Monetary value to identify VIPs, at-risk churners, and dormant buyers, then generate targeted re-engage... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 78 次。
如何安装 RFM Segmenter？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install rfm-segmenter」即可一键安装，无需额外配置。
RFM Segmenter 是免费的吗？
是的，RFM Segmenter 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
RFM Segmenter 支持哪些平台？
RFM Segmenter 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 RFM Segmenter？
由 LeroyCreates（@leooooooow）开发并维护，当前版本 v1.0.0。
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