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Ai Intelligent Customer Segmentation

Name: Ai Intelligent Customer Segmentation
Author: yang1002378395-cmyk

作者 yang1002378395-cmyk · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

229

总下载

当前安装

版本数

在 OpenClaw 中安装

/install ai-intelligent-customer-segmentation

功能描述

客户分层，RFM分析 + 精准营销。

使用说明 (SKILL.md)

AI 智能客户分层系统

描述

客户分层，RFM分析 + 精准营销。

功能

RFM 分析（自动分层）
标签管理（客户标签）
画像分析（客户画像）
营销策略（分层策略）
效果跟踪（转化跟踪）

定价

基础版：¥199/月（1 万客户）
专业版：¥999/月（10 万客户）
企业版：¥2999/月（无限客户）

适用场景

客户管理
精准营销
CRM 系统
用户运营

技术栈

Python + FastAPI
RFM 分析
标签系统
营销策略

安装

git clone https://github.com/openclaw-skills/ai-intelligent-customer-segmentation
cd ai-intelligent-customer-segmentation
pip install -r requirements.txt
python app.py

创建：2026-03-13 作者：OpenClaw Skills Team

安全使用建议

This skill appears to be a customer-segmentation tool, but the SKILL.md tells you to clone and run a GitHub repo even though the registry lists no install requirements — that mismatch and the fact you'll execute external code are the main risks. Before installing or running anything: (1) inspect the GitHub repository and commit history to confirm the maintainer and review source code for network calls or credential usage; (2) run in an isolated environment (container or VM) and do not run as root; (3) verify requirements.txt and any startup scripts for unexpected behavior; (4) prefer a published homepage or explicit maintainer identity and a formal install spec from the registry. If you cannot review the repo, treat this skill as untrusted.

功能分析

Type: OpenClaw Skill Name: ai-intelligent-customer-segmentation Version: 1.0.0 The skill bundle contains only metadata and documentation for a customer segmentation and RFM analysis tool. No executable code, suspicious network activity, or prompt injection attempts were found in the provided files (_meta.json and SKILL.md).

能力评估

ℹ Purpose & Capability

The name/description (RFM 客户分层与精准营销) align with the listed tech stack (Python + FastAPI) and the SKILL.md install steps (git clone, pip install, python app.py). However the registry metadata lists no required binaries or install spec while the instructions clearly assume git, pip and python are available — that's an inconsistency that should be clarified.

⚠ Instruction Scope

SKILL.md instructs cloning a GitHub repository and running its Python app (pip install -r requirements.txt; python app.py). Those instructions will cause downloading and executing third‑party code; the file does not request environment variables or file system reads beyond running the app, but executing external code expands the skill's effective scope and risk.

⚠ Install Mechanism

There is no formal install spec in the registry, but SKILL.md contains manual install commands that fetch code from GitHub. Pulling and running code from an external repo is a high-impact action — GitHub is a common host (reduces some risk) but the repo/maintainer's trustworthiness is not established in the metadata (source/homepage unknown).

✓ Credentials

The skill declares no required environment variables or credentials and SKILL.md does not request any secrets. That is proportionate to a standalone analysis app. Note: the runtime instructions implicitly require network access and local execution privileges (git/pip/python), which were not declared.

✓ Persistence & Privilege

The skill is not marked always:true and does not request persistent system-wide configuration or access to other skills. There is no evidence it modifies other skills or agent settings.

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 ai-intelligent-customer-segmentation
安装完成后，直接呼叫该 Skill 的名称或使用 /ai-intelligent-customer-segmentation 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 of AI智能客户分层系统. - Features automated RFM analysis, customer tagging, profiling, marketing strategies, and conversion tracking. - Supports multiple pricing tiers for different business sizes. - Built with Python and FastAPI; easy installation instructions included.

元数据

Slug ai-intelligent-customer-segmentation

版本 1.0.0

许可证 MIT-0

累计安装 1

当前安装数 1

历史版本数 1

常见问题