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ClawHub Automation

Name: ClawHub Automation
Author: kaiyuelv

作者 Lv Lancer · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

301

总下载

当前安装

版本数

在 OpenClaw 中安装

/install clawhub-automation

功能描述

ClawHub零代码跨生态自动化Skill | No-code cross-platform automation for ClawHub with WeChat, DingTalk, Feishu, WPS integration

使用说明 (SKILL.md)

ClawHub 零代码跨生态自动化 Skill

让无代码基础的用户也能在3分钟内搭建跨平台自动化流程，连接微信、钉钉、飞书、WPS等国内主流生态。

核心功能

功能模块	说明
国内生态接口对接	微信、钉钉、飞书、WPS、腾讯文档、阿里云盘
零代码流程配置	可视化拖拽，3分钟完成配置
AI流程智能生成	自然语言指令自动生成流程
执行监控与兜底	与重试降级Skill联动，成功率≥95%
模板中心	50+高频场景模板一键复用

快速开始

from scripts.workflow_engine import WorkflowEngine
from scripts.ai_flow_generator import AIFlowGenerator

# AI生成流程
ai_gen = AIFlowGenerator()
workflow = ai_gen.generate("微信收到文件自动同步到阿里云盘")

# 执行流程
engine = WorkflowEngine()
engine.run(workflow)

安装

pip install -r requirements.txt

项目结构

clawhub-automation/
├── SKILL.md                 # Skill说明
├── README.md                # 完整文档
├── requirements.txt         # 依赖
├── config/
│   └── connectors.yaml      # 生态连接器配置
├── scripts/                 # 核心模块
│   ├── workflow_engine.py   # 流程引擎
│   ├── connector_manager.py # 生态连接器
│   ├── ai_flow_generator.py # AI流程生成
│   ├── template_center.py   # 模板中心
│   ├── execution_monitor.py # 执行监控
│   └── permission_manager.py # 权限管理
├── templates/               # 场景模板
├── examples/                # 使用示例
└── tests/                   # 单元测试

运行测试

cd tests
python test_automation.py

详细文档

请参考 README.md 获取完整API文档和使用指南。

安全使用建议

This package provides a full local implementation of a workflow engine and simulated connectors for many Chinese platforms, but it does not declare or manage real OAuth credentials or other secrets. If you plan to connect it to production accounts, you will need to supply proper client IDs/secrets and a secure token storage mechanism yourself — the skill currently simulates authorization and returns in-memory tokens. Before installing or granting any access: (1) confirm whether the distributed code will perform live network calls in your environment (the connector code as packaged simulates operations but real adapters may be added later), (2) do not feed real credentials into example scripts unless you review and modify secure storage/transport, and (3) if you need real OAuth, ensure redirect handling and secret storage are implemented safely. Because the metadata omits credential requirements while the code advertises real integrations, treat this package as a prototype/template rather than a production-ready connector without further review.

功能分析

Type: OpenClaw Skill Name: clawhub-automation Version: 1.0.0 The bundle is a well-structured framework for cross-platform automation involving Chinese enterprise ecosystems (WeChat, DingTalk, Feishu, etc.). It includes a workflow engine, an AI-based flow generator using keyword parsing, and a permission management system. Analysis of the core logic in 'workflow_engine.py' and 'connector_manager.py' shows that all platform interactions and file operations are currently implemented as safe mocks or simulations, and no evidence of data exfiltration, unauthorized remote execution, or malicious prompt injection was found.

能力评估

ℹ Purpose & Capability

The code implements a workflow engine, connector manager, AI flow generator, template center, execution monitor and permission manager consistent with the 'cross-platform automation' description. However, the skill advertises integrations with real services (WeChat, DingTalk, Feishu, WPS, Tencent Docs, Aliyun Drive) while requesting no environment variables or credentials. Real OAuth client IDs/secrets or API keys are not declared/required by the skill metadata, which is surprising for a tool that claims to perform live cross-platform operations.

✓ Instruction Scope

SKILL.md and README contain only usage instructions such as 'pip install -r requirements.txt' and run examples/tests. The runtime instructions and examples operate on the packaged Python modules and simulated authorization flows; they do not instruct the agent to read unrelated system files, environment variables, or to exfiltrate data. There are no directives that expand scope unexpectedly.

✓ Install Mechanism

There is no install spec in the registry (instruction-only). The package ships source files and a requirements.txt listing common libraries (requests, pyyaml, python-dateutil, schedule). No remote download URLs, archive extraction, or unusual installation steps are present.

⚠ Credentials

The skill declares no required environment variables or primary credential, yet it claims to integrate with OAuth-based services. Connector configuration (config/connectors.yaml) lists auth_url and api_base endpoints but no client_id/client_secret handling. The ConnectorManager.authorize(...) method simulates token issuance rather than performing a real OAuth flow. If a user expects live integrations, additional secrets and secure storage will be required — those are not requested or documented by the skill metadata, which may mislead non-technical installers.

✓ Persistence & Privilege

Registry flags are default (always:false, agent can invoke autonomously). The code stores auth tokens in memory (ConnectorManager.auths) and does not appear to modify other skills or agent-wide configuration. There is no evidence the skill requests permanent elevated platform presence.

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 clawhub-automation
安装完成后，直接呼叫该 Skill 的名称或使用 /clawhub-automation 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

零代码跨生态自动化Skill - 支持微信、钉钉、飞书、WPS等国内生态，AI自动生成流程，11个预设模板

元数据

Slug clawhub-automation

版本 1.0.0

许可证 MIT-0

累计安装 2

当前安装数 1

历史版本数 1

常见问题