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AI Employee Team

作者 gdp6539 · GitHub ↗ · v1.0.1
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install ai-employee-team
功能描述
AI员工协作技能包 - 多AI角色配置、任务自动分配、进度监控、结果汇报。适合想要自动化运营的团队。
使用说明 (SKILL.md)

AI员工协作技能包

一句话介绍

把多个AI角色组织成虚拟团队,自动分配任务、监控进度、汇报结果。

解决什么问题?

  • 一个人管不过来:多个项目并行 → AI团队自动分工
  • 任务分配不均:不知道谁该做什么 → 智能任务分配
  • 进度追踪困难:到处问进度 → 自动状态汇报
  • 协作效率低:沟通成本高 → 结构化工作流

核心功能

  • 🤖 多AI角色配置:老板、产品、技术、测试、运营...
  • 📋 任务智能分配:根据角色自动派发任务
  • 📊 状态实时监控:查看每个员工的工作状态
  • 📝 结果自动汇报:日报、周报、任务完成通知
  • 🔄 工作流编排:定义任务流转规则
  • 💾 记忆持久化:AI员工有长期记忆

快速开始

安装

cd ai-employee-skill
npm install

配置员工

编辑 config/employees.json

{
  "employees": [
    {
      "id": "boss",
      "name": "老板AI",
      "role": "战略决策",
      "skills": ["战略分析", "资源分配", "绩效评估"]
    },
    {
      "id": "pm",
      "name": "产品AI",
      "role": "产品规划",
      "skills": ["需求分析", "产品设计", "文档撰写"]
    }
  ]
}

启动公司

npm start

命令列表

命令 说明
/hire \x3C角色> 招聘新AI员工
/fire \x3Cid> 解雇AI员工
/assign \x3C任务> 分配任务
/status 查看团队状态
/report [日报/周报] 生成工作报告
/meeting 召开团队会议

文件结构

ai-employee-skill/
├── SKILL.md              # 技能说明
├── README.md             # 产品文档
├── TUTORIAL.md           # 使用教程
├── package.json          # 依赖配置
├── config.json           # 系统配置
├── scripts/              # 核心脚本
│   ├── employee-manager.js   # 员工管理
│   ├── task-dispatcher.js    # 任务分发
│   ├── status-monitor.js     # 状态监控
│   ├── report-generator.js   # 报告生成
│   └── meeting-coordinator.js # 会议协调
├── templates/            # 员工模板
│   ├── boss-ai.md
│   ├── product-ai.md
│   ├── tech-ai.md
│   ├── test-ai.md
│   └── operation-ai.md
└── examples/             # 示例场景
    ├── startup-team.json
    └── content-team.json

员工角色说明

角色 职责 核心能力
老板AI 战略决策 市场分析、资源分配、绩效评估
产品AI 产品规划 需求分析、产品设计、PRD撰写
技术AI 技术开发 架构设计、编码实现、代码审查
测试AI 质量保障 测试计划、自动化测试、Bug追踪
运营AI 增长运营 内容创作、用户运营、数据分析
财务AI 财务管理 成本核算、ROI分析、预算规划
HR-AI 人力资源 招聘管理、绩效评估、培训发展

工作流程

┌─────────────────────────────────────────────────────────────┐
│                        任务流程                              │
├─────────────────────────────────────────────────────────────┤
│                                                              │
│   ┌────────┐    ┌────────┐    ┌────────┐    ┌────────┐     │
│   │ 老板AI │ →  │ 产品AI │ →  │ 技术AI │ →  │ 测试AI │     │
│   │ 下达   │    │ 需求   │    │ 开发   │    │ 验收   │     │
│   └────────┘    └────────┘    └────────┘    └────────┘     │
│        ↓                          ↓              ↓          │
│   ┌─────────────────────────────────────────────────┐      │
│   │                 运营AI / 财务AI                   │      │
│   │              发布 + 数据 + 汇报                   │      │
│   └─────────────────────────────────────────────────┘      │
│                                                              │
└─────────────────────────────────────────────────────────────┘

适用人群

  • 独立开发者:一人即团队
  • 小型创业团队:人手不够AI来凑
  • 自媒体运营:内容批量生产
  • 项目管理者:多项目并行管理
  • 自动化爱好者:AI协作实践

定价

  • 基础版:¥199(5个员工角色 + 基础工作流)
  • 专业版:¥399(无限角色 + 自定义工作流 + API接口)
  • 企业版:¥999(私有部署 + 定制开发 + 技术支持)

开发者:AI-Company 联系:通过ClawHub

安全使用建议
This package appears inconsistent: the docs promise a full orchestration system but the archive only contains a single employee-manager script and docs. Before installing or running anything: 1) ask the publisher for the full source or an upstream repository (package.json and the other scripts) and verify integrity; 2) inspect any package.json and all scripts that would be installed by 'npm install' (look for network calls, exec/spawn, remote downloads); 3) run in an isolated/sandbox environment (or container) if you must test; 4) be cautious about supplying LLM API keys — the skill references models but does not declare how keys are used or stored; 5) treat local memory files under memory/ as potentially sensitive and review read/write behavior. The current artifact is more likely incomplete or poorly packaged than overtly malicious, but the mismatches warrant caution.
功能分析
Type: OpenClaw Skill Name: ai-employee-team Version: 1.0.1 The `scripts/employee-manager.js` file contains a path traversal vulnerability in its `hire` method. Specifically, the `template` parameter, if controlled by a malicious actor (e.g., via prompt injection to the AI agent), can be used to read arbitrary files from the file system (e.g., `../../../../etc/passwd`) and write their content into the skill's local `memory` directory. Additionally, the `writeMemory` function allows appending arbitrary content to local memory files, which could be used to store malicious data within the skill's scope. While there is no evidence of intentional data exfiltration to external endpoints or other direct malicious activities, these vulnerabilities pose a significant information disclosure risk and local data manipulation capability.
能力评估
Purpose & Capability
SKILL.md/README describe a multi-component AI team framework (task dispatcher, status monitor, report generator, meeting coordinator, templates, package.json, npm start, etc.), but the bundle only contains one script (scripts/employee-manager.js) plus docs. The claimed capabilities exceed what's actually provided.
Instruction Scope
Runtime instructions tell the user to run 'npm install' and 'npm start', edit config files, and use many CLI commands and endpoints that are not present in the supplied files. The SKILL.md expects a working project layout (package.json, many scripts) that is missing — following the docs could fail or run unknown code if additional files are fetched later.
Install Mechanism
There is no formal install spec (lowest-risk). However SKILL.md instructs running 'npm install' and 'npm start' even though package.json is not included in the bundle. That mismatch is suspicious: either required files were omitted from the package or the docs are outdated.
Credentials
The skill requests no environment variables or credentials (proportionate). SKILL.md references using LLM models (e.g., 'gpt-4') and private deployment/pricing but does not declare any API keys or integration details — missing required credentials for real LLM use.
Persistence & Privilege
The skill does local file I/O (creates config/ and memory/ directories and writes memory files). 'always' is false and there are no instructions to modify other skills or system-wide settings. Local persistence is expected for the described memory feature.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install ai-employee-team
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-employee-team 触发
  4. 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
v1.0.1
更新文档和销售材料
元数据
Slug ai-employee-team
版本 1.0.1
许可证
累计安装 5
当前安装数 5
历史版本数 1
常见问题

AI Employee Team 是什么?

AI员工协作技能包 - 多AI角色配置、任务自动分配、进度监控、结果汇报。适合想要自动化运营的团队。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 467 次。

如何安装 AI Employee Team?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install ai-employee-team」即可一键安装,无需额外配置。

AI Employee Team 是免费的吗?

是的,AI Employee Team 完全免费(开源免费),可自由下载、安装和使用。

AI Employee Team 支持哪些平台?

AI Employee Team 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 AI Employee Team?

由 gdp6539(@gdp6539)开发并维护,当前版本 v1.0.1。

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