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AI Customer Service Automation
by
yang1002378395-cmyk
· GitHub ↗
· v1.0.0
· MIT-0
355
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Install in OpenClaw
/install ai-customer-service-automation
Description
24/7智能客服系统，自动回复常见问题，情感分析升级工单，多渠道支持，数据看板和知识库同步。
README (SKILL.md)
AI Customer Service Automation
7x24小时智能客服系统。
核心能力
✅ 智能问答：自动回复 80% 常见问题 ✅ 情感分析：识别愤怒/失望/满意，自动升级 ✅ 工单系统：复杂问题自动创建工单 ✅ 多渠道支持：飞书/微信/钉钉/Telegram/邮件 ✅ 数据看板：响应时间/解决率/满意度 ✅ 知识库同步：自动学习历史对话
快速开始
1. 安装
openclaw skills install ai-customer-service-automation
2. 配置
name: ai-customer-service-automation
config:
# 知识库
knowledgeBase:
files:
- ./docs/faq.md
- ./docs/policy.pdf
# 情感阈值
sentiment:
alertThreshold: 0.3 # 愤怒 \x3C 0.3 自动升级
# 工单系统
ticket:
provider: jira # or feishu/dingtalk
autoCreate: true
# 多渠道
channels:
- feishu
- wechat
- telegram
3. 启动
openclaw start
ROI 计算
传统客服 vs AI 客服
| 指标 | 传统客服 | AI 客服 | 提升 |
|---|---|---|---|
| 响应时间 | 5-10 分钟 | 10 秒 | 30-60x |
| 人力成本 | ¥5000/月/人 | ¥500/月 | 10x |
| 工作时间 | 8 小时 | 24 小时 | 3x |
| 并发能力 | 1 对 1 | 无限 | ∞ |
| 满意度 | 70% | 85% | +15% |
定价
| 套餐 | 价格 | 功能 |
|---|---|---|
| 基础版 | ¥199 | 智能问答 + 1 渠道 |
| 专业版 | ¥499 | 情感分析 + 工单 + 3 渠道 |
| 企业版 | ¥1499 | 全功能 + 定制开发 |
客户案例
某电商平台
- 日均咨询：5000+
- AI 自动处理：4000+
- 人工介入：20%
- 客服成本：降低 60%
某 SaaS 公司
- 用户数：10000+
- AI 回答准确率：92%
- 客户满意度：4.5/5
- 客服团队：从 10 人降至 3 人
技术支持
- 📧 Email: [email protected]
- 💬 Telegram: @openclaw_service
- 📱 微信: openclaw-cn
安装配置服务：¥199 起，1 小时搞定！
Usage Guidance
This bundle looks like a product brochure + config template rather than a complete implementation. Before installing or enabling it: 1) Ask the author for the missing source code (index.js/connector code) and for an explicit list of required credentials and environment variable names. 2) Do not provide broad/shared API keys — use least-privileged, service-specific tokens if you proceed. 3) Verify how personal or customer data is handled (where conversation logs and KB files are stored, retention, and external endpoints). 4) If connectors are provided later, review their code for hardcoded endpoints or data exfiltration, and prefer self-hosted or vetted integration components. 5) If you only want documentation, keep it disconnected from runtime; do not paste production credentials into the config until you audit the integration code.
Capability Analysis
Type: OpenClaw Skill
Name: ai-customer-service-automation
Version: 1.0.0
The provided files consist solely of metadata and documentation for an AI customer service automation skill. There is no executable code, and the instructions in SKILL.md are purely descriptive of the service's features and configuration without any malicious prompt injection or harmful commands.
Capability Assessment
Purpose & Capability
The SKILL.md describes multi-channel support (Feishu/WeChat/DingTalk/Telegram/email), Jira ticketing, sentiment analysis, KB sync and gives a config example — that matches the declared purpose. However package.json names index.js as main but no code files are present, and the skill declares no required environment variables or credentials even though integrating with those services would require API keys/tokens. This mismatch (claimed capabilities without code or declared connectors/credentials) is inconsistent and could mean the skill is just documentation or is incomplete.
Instruction Scope
Runtime instructions are high-level: install the skill, provide a YAML config (including local KB file paths), and start. The instructions only reference local KB files and standard openclaw commands — they do not tell the agent to read unrelated system files or to exfiltrate data. However they are vague about how to connect to external channels and how credentials will be provided/used, leaving broad discretion and potential privacy/behavior gaps.
Install Mechanism
No install spec and no code files beyond package.json — instruction-only skill. That is low install risk (nothing is downloaded or written by an installer). Note: package.json references an index.js that is not present; that suggests the package is incomplete or missing implementation.
Credentials
The skill claims integrations that normally require multiple credentials (Jira API token, Feishu/DingTalk/WeChat bot tokens, Telegram bot token, email SMTP credentials, etc.), yet requires.env is empty and SKILL.md does not list or name any environment variables. This omission is disproportionate and ambiguous: either the skill expects the platform to provide credentials implicitly, or the author omitted critical security details. That ambiguity increases risk because users might be prompted later to supply sensitive tokens without clear guidance.
Persistence & Privilege
The skill does not request always:true and is user-invocable with normal autonomous invocation allowed. There is no indication it modifies other skills or agent-wide configs. No persistence/privilege red flags in the provided manifest.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ai-customer-service-automation - After installation, invoke the skill by name or use
/ai-customer-service-automation - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: 7x24h智能客服系统，支持多渠道、情感分析、工单系统
Metadata
Frequently Asked Questions
What is AI Customer Service Automation?
24/7智能客服系统，自动回复常见问题，情感分析升级工单，多渠道支持，数据看板和知识库同步。 It is an AI Agent Skill for Claude Code / OpenClaw, with 355 downloads so far.
How do I install AI Customer Service Automation?
Run "/install ai-customer-service-automation" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is AI Customer Service Automation free?
Yes, AI Customer Service Automation is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does AI Customer Service Automation support?
AI Customer Service Automation is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created AI Customer Service Automation?
It is built and maintained by yang1002378395-cmyk (@yang1002378395-cmyk); the current version is v1.0.0.
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