Auto Building

基于 AUTO-BUILDING 源码，生成定制化信息采集管理系统。用户指定栏目、分类、数据源后，系统自动采集、审核、发布内容。

Security Scan

The skill's stated purpose (building a content-aggregation system) aligns with its requirements and instructions, but it instructs you to clone and run an external GitHub repo — review that remote code and dependencies before executing.

Purpose & Capability

Name/description (auto content-aggregation) match the declared requirements: Node/npm are required and the SKILL.md instructs cloning and running a Node app. Nothing in the skill metadata requests unrelated credentials, binaries, or config paths.

Instruction Scope

SKILL.md explicitly directs the agent/user to clone https://github.com/hasd52636-a11y/Auto_Building_new, run npm install, and run the app; it also instructs editing config/sources.json and running scraping tasks. These actions are consistent with the stated purpose but involve executing code fetched from a remote repository and initiating web scraping, so the remote repository's contents determine actual runtime behavior and risk.

Install Mechanism

There is no bundled install payload in the skill package; the instructions point to a GitHub repo (well-known host) to clone. Using GitHub is expected for this purpose, but because the skill does not include the repo code, the reviewer could not inspect the actual runtime code. The SKILL.md also contains an 'install' clone entry referencing the same GitHub repo — consistent but worth verifying.

Credentials

No environment variables or credentials are requested by the skill package. The described functionality (scraping external sources) normally does not require platform secrets. Beware that the cloned repository could itself request or use credentials at runtime (not visible in this package).

Persistence & Privilege

Skill is not marked always:true and uses normal, user-invocable/autonomous defaults. It does not request elevated platform persistence or modify other skills. Running the upstream app may require setting up scheduled jobs (e.g., npm run daily), but that's standard for this kind of application.

Assessment

This skill description and instructions are coherent for building a scraping/aggregation site, but the package itself is instruction-only and points you to clone and run a GitHub repository. Before installing or running it: 1) Inspect the repository (https://github.com/hasd52636-a11y/Auto_Building_new) — review package.json, scripts, and any server-side code for unexpected network calls, credential handling, or malware. 2) Run npm install and the app in a sandbox or isolated environment (container/VM). 3) Review dependencies for known vulnerabilities and check whether the app asks for credentials or modifies system files. 4) Consider legal/terms-of-service issues for scraping target sites and respect robots.txt. If you want a higher-assurance verdict, provide the upstream repository contents so they can be statically inspected; currently that runtime code was not included in this package.

基于 AI 的自动化信息采集管理系统技能。

什么是 AUTO-BUILDING

AUTO-BUILDING 是一个开源的信息采集管理平台，可以帮助用户快速构建定制化的内容采集系统。用户只需指定想要采集的栏目、分类和数据源，系统会自动完成采集、审核、展示的全流程。

何时使用此技能

当用户想要：

• 构建自己的新闻早报系统
• 监控系统监控竞品价格和动态
• 采集特定行业资讯（如科技、财经、医疗）
• 建立资源导航页面（如 AI 工具集、开源项目）
• 定制化信息聚合平台

快速开始

步骤 1：克隆源码

git clone https://github.com/hasd52636-a11y/Auto_Building_new
cd Auto_Building_new

步骤 2：安装依赖

npm install

步骤 3：启动服务

npm run dev

步骤 4：访问

• 首页：http://localhost:3000
• 管理后台：http://localhost:3000/admin

如何根据用户需求生成系统

步骤 1：理解用户需求

当用户提出需求时，识别：

1. 目标栏目（如：新闻早报、产品监控、行业资讯）
2. 分类规则（如：科技/财经/体育、亚马逊/淘宝/京东）
3. 数据来源（如：36kr、虎嗅、GitHub 仓库、RSS 订阅）

步骤 2：修改配置文件

根据用户需求修改以下文件：

2.1 修改 config/sources.json

{
  "primaryCategories": ["智能母体", "用户想要的栏目"],
  "secondaryCategories": {
    "智能母体": ["agent", "skill", "mcp", "prompt", "opensource_soft"],
    "用户想要的栏目": ["分类1", "分类2", "分类3"]
  },
  "sources": [
    {
      "name": "数据源名称",
      "type": "github|rss|directory|custom",
      "url": "地址",
      "enabled": true
    }
  ]
}

2.2 修改 src/data/resources.ts

export const PRIMARY_CATEGORIES = [
  '智能母体',
  '用户想要的栏目',
];

export const SECONDARY_CATEGORIES = [
  { labelKey: 'type.agent', value: 'agent' },
  { labelKey: 'type.skill', value: 'skill' },
  { labelKey: 'type.分类1', value: 'category1' },
  { labelKey: 'type.分类2', value: 'category2' },
];

步骤 3：指导用户配置

告诉用户执行以下操作：

1. 运行 npm install && npm run dev
2. 访问 http://localhost:3000/admin
3. 在「采集规则」Tab 添加具体采集规则
4. 在「数据源」Tab 确认数据源已添加
5. 点击「执行采集」开始采集内容
6. 在「审核」Tab 审核采集的内容
7. 内容自动展示在首页

配置说明

数据源类型

类型	说明	示例
github	GitHub 仓库	composiohq/awesome-claude-skills
rss	RSS 订阅	https://36kr.com/feed/
directory	目录网站	https://skills.sh/
custom	自定义 URL	任意网页地址

采集规则

用户可通过管理后台 /admin 的「采集规则」Tab：

• 手动添加正则匹配规则
• 使用 AI 自然语言生成规则
• 设置关键词过滤
• 设置内容类型（视频/图文/全部）

示例对话

示例 1：新闻早报系统

用户："帮我做个科技新闻早报，每天采集36kr和虎嗅" 修改内容： config/sources.json:

{
  "primaryCategories": ["智能母体", "新闻早报"],
  "secondaryCategories": {
    "新闻早报": ["科技", "财经", "创投"]
  },
  "sources": [
    {
      "name": "36kr",
      "type": "rss",
      "url": "https://36kr.com/feed/",
      "enabled": true
    },
    {
      "name": "虎嗅",
      "type": "rss",
      "url": "https://www.huxiu.com/rss",
      "enabled": true
    }
  ]
}

告诉用户：

系统已配置完成！运行以下命令启动：
cd Auto_Building_new
npm install
npm run dev

然后访问 http://localhost:3000/admin
1. 在「采集规则」添加：只采集今天发布的文章
2. 点击「执行采集」
3. 在「审核」Tab 审核内容

示例 2：产品监控系统

用户："做个电商产品价格监控系统，监控亚马逊和淘宝" 修改内容： config/sources.json:

{
  "primaryCategories": ["智能母体", "产品监控"],
  "secondaryCategories": {
    "产品监控": ["亚马逊", "淘宝", "京东"]
  },
  "sources": [
    {
      "name": "亚马逊",
      "type": "directory",
      "url": "https://www.amazon.cn",
      "enabled": true
    },
    {
      "name": "淘宝",
      "type": "directory",
      "url": "https://www.taobao.com",
      "enabled": true
    }
  ]
}

示例 3：AI 工具集

用户："我想做一个 AI 编程工具导航页面" 修改内容： config/sources.json:

{
  "primaryCategories": ["AI编程工具"],
  "secondaryCategories": {
    "AI编程工具": ["代码补全", "代码审查", "自动化测试"]
  },
  "sources": [
    {
      "name": "GitHub Copilot",
      "type": "github",
      "repo": "github/copilot",
      "enabled": true
    },
    {
      "name": "Cursor",
      "type": "github",
      "repo": "getcursor/cursor",
      "enabled": true
    }
  ]
}

核心功能（不可修改）

• 采集脚本：scripts/scrape-all.ts, scripts/classify.ts
• 审核流程：pending-review.json → approved-resources.json
• 展示极面：动态读取配置渲染栏目和分类

注意事项

1. 只修改配置文件：config/sources.json 和 src/data/resources.ts
2. 不要修改采集脚本和页面逻辑
3. 运行后需要执行 npm run daily 采集内容
4. 在 /admin 审核采集的内容后才会展示在首页
5. 如果需要更多自定义，可以通过管理后台的「采集规则」和「数据源」Tab 进行配置