AI Customer Service Scripts Generator

Generate professional customer service scripts for 10+ industries using AI, with emotion analysis and quality scoring for complaints, sales, and support.

Security Scan

The skill's code and runtime instructions are mostly coherent for generating customer-service scripts, but there is a clear mismatch: the packaged Python code requires an OPENCLAW_API_KEY environment variable and calls an external OpenClaw API client, yet the skill metadata and SKILL.md do not declare or document this credential or where data is sent.

Purpose & Capability

The name/description match the implementation: the code generates scripts, performs simple sentiment analysis, and scores replies. However the code requires an OPENCLAW_API_KEY and instantiates an OpenClaw client (sending prompts externally). The registry metadata claims no required env vars/credentials and the SKILL.md example does not mention setting an API key — this is an incoherence between claimed requirements and actual capabilities.

Instruction Scope

SKILL.md shows usage that assumes ScriptGenerator() will work without configuration, but the class raises a ValueError if OPENCLAW_API_KEY is not set. The runtime instructions do not disclose that customer messages are sent to the OpenClaw API (remote model invocation), nor do they warn about privacy implications. Other than that, the instructions do not attempt to read unrelated files or secrets.

Install Mechanism

No install spec is bundled; SKILL.md suggests 'pip install openclaw' which is a standard package install. There are no downloads from arbitrary URLs or archive extraction steps in the skill bundle. Review of the external 'openclaw' package is recommended before use.

Credentials

The code requires a single API key (OPENCLAW_API_KEY) which is proportionate to calling an external API. However, the skill metadata declares no required env vars and SKILL.md fails to document this credential — the missing declaration is a notable inconsistency. No other secrets are requested.

Persistence & Privilege

The skill is not always-enabled, does not request persistent/privileged system changes, and does not modify other skills. Autonomous invocation is allowed (platform default) but not by itself a red flag here.

What to consider before installing

This skill appears to implement the advertised functionality, but the Python code requires an OPENCLAW_API_KEY and sends prompts to the OpenClaw API — yet the metadata and SKILL.md do not mention this. Before installing or using it: - Do not assume the example will work without setting OPENCLAW_API_KEY; set the key if you trust the OpenClaw service. - Understand that customer messages (potentially containing PII) will be transmitted to an external API. Avoid sending sensitive personal or credential data. - Verify the provenance of the 'openclaw' Python package and the skill owner (no homepage provided). Prefer packages from known authors or inspect package source code. - Ask the author to update SKILL.md and registry metadata to declare the required OPENCLAW_API_KEY and to document where data is sent and stored. - If you need stronger assurance, run the code in an isolated environment and monitor network calls, or replace the OpenClaw client with a trusted local model or a clearly documented API client.

AI Customer Service Scripts Generator | AI 客服话术生成器

一键生成专业客服回复话术，覆盖电商/金融/教育/医疗等 10+ 行业

🎯 适用场景

• 电商客服团队需要标准化回复
• 企业需要快速培训新客服
• 自动化客服机器人优化
• 投诉处理/售后跟进/销售转化

📦 包含内容

1. 话术模板库 - 10+ 行业 500+ 常见场景
2. AI 生成器 - 基于用户输入自动生成话术
3. 情感分析 - 判断客户情绪，匹配最佳回复
4. 评分系统 - 评估话术质量

🚀 快速开始

安装

pip install openclaw

使用

from scripts_generator import ScriptGenerator

gen = ScriptGenerator()

# 生成回复
reply = gen.generate(
    industry="电商",
    scenario="客户投诉物流慢",
    customer_message="我的快递怎么还没到？都一周了！"
)

print(reply)
# 输出：尊敬的客户，非常抱歉给您带来不便。我已经帮您查询了物流信息...

💰 定价

版本	价格	功能
基础版	¥49	5 个行业模板
专业版	¥99	10+ 行业 + AI 生成
企业版	¥299	私有部署 + 定制话术

🔧 技术支持

• 微信：OpenClawCN
• Discord：https://discord.gg/clawd

---

作者：OpenClaw 中文社区 版本：1.0.0