diff --git a/config/hr_sources.json b/config/hr_sources.json
new file mode 100644
index 00000000000..85a8aa01f78
--- /dev/null
+++ b/config/hr_sources.json
@@ -0,0 +1,20 @@
+{
+  "version": 1,
+  "name": "HR × AI 资讯台",
+  "timezone": "Asia/Shanghai",
+  "daily_pick_limit": 12,
+  "categories": [
+    "政策与劳动合规",
+    "AI 招聘与招聘工具",
+    "组织与人才管理",
+    "学习发展与技能转型",
+    "HR 产品与数字化",
+    "案例、报告与趋势"
+  ],
+  "priority_regions": [
+    "全国",
+    "上海",
+    "北京"
+  ],
+  "sources": []
+}
\ No newline at end of file
diff --git a/data/hr-radar.json b/data/hr-radar.json
new file mode 100644
index 00000000000..a245c9a244a
--- /dev/null
+++ b/data/hr-radar.json
@@ -0,0 +1,194 @@
+{
+  "generated_at": "2026-07-19T16:11:48.313477+08:00",
+  "name": "HR × AI 资讯台",
+  "total_count": 7,
+  "categories": [
+    "政策与劳动合规",
+    "AI 招聘与招聘工具",
+    "组织与人才管理",
+    "学习发展与技能转型",
+    "HR 产品与数字化",
+    "案例、报告与趋势"
+  ],
+  "items_by_category": {
+    "政策与劳动合规": [],
+    "AI 招聘与招聘工具": [],
+    "组织与人才管理": [
+      {
+        "title": "Remote work isn’t always a ‘reasonable’ accommodation: 4 tips for employers",
+        "url": "https://www.hrdive.com/news/remote-work-isnt-always-a-reasonable-accommodation-4-tips-for-employers/825542/",
+        "published_at": "2026-07-17T15:55:00+00:00",
+        "source_id": "hr_dive",
+        "source_name": "HR Dive",
+        "source_region": "全球",
+        "source_level": "行业媒体",
+        "is_ai_hr": false,
+        "category": "组织与人才管理",
+        "id": "94f58f5ed83b"
+      },
+      {
+        "title": "How AI ‘workslop’ is undermining your organization’s performance",
+        "url": "https://www.hrdive.com/news/how-ai-workslop-is-undermining-your-organizations-performance/825517/",
+        "published_at": "2026-07-17T14:35:00+00:00",
+        "source_id": "hr_dive",
+        "source_name": "HR Dive",
+        "source_region": "全球",
+        "source_level": "行业媒体",
+        "is_ai_hr": true,
+        "category": "组织与人才管理",
+        "id": "61c5e5abb7a9"
+      }
+    ],
+    "学习发展与技能转型": [
+      {
+        "title": "AI may conceal growing ‘learning debt’ for fast-changing roles",
+        "url": "https://www.hrdive.com/news/ai-may-conceal-growing-learning-debt-for-fast-changing-roles/825396/",
+        "published_at": "2026-07-16T14:46:00+00:00",
+        "source_id": "hr_dive",
+        "source_name": "HR Dive",
+        "source_region": "全球",
+        "source_level": "行业媒体",
+        "is_ai_hr": true,
+        "category": "学习发展与技能转型",
+        "id": "94cfcdff3a70"
+      }
+    ],
+    "HR 产品与数字化": [],
+    "案例、报告与趋势": [
+      {
+        "title": "Nespresso must face African American’s race discrimination claim, court rules",
+        "url": "https://www.hrdive.com/news/nespresso-must-face-african-americans-race-discrimination-claim-court-rul/825536/",
+        "published_at": "2026-07-17T15:55:00+00:00",
+        "source_id": "hr_dive",
+        "source_name": "HR Dive",
+        "source_region": "全球",
+        "source_level": "行业媒体",
+        "is_ai_hr": false,
+        "category": "案例、报告与趋势",
+        "id": "fdcaa8dd76ca"
+      },
+      {
+        "title": "Secondhand harassment supports hostile work environment claim, 5th Circuit holds",
+        "url": "https://www.hrdive.com/news/secondhand-harassment-supports-hostile-work-environment-claim-5th-circuit/825514/",
+        "published_at": "2026-07-17T15:55:00+00:00",
+        "source_id": "hr_dive",
+        "source_name": "HR Dive",
+        "source_region": "全球",
+        "source_level": "行业媒体",
+        "is_ai_hr": false,
+        "category": "案例、报告与趋势",
+        "id": "fcbccc5e4d6b"
+      },
+      {
+        "title": "Employers may soon find it harder to retain workers",
+        "url": "https://www.hrdive.com/news/employers-may-soon-find-it-harder-to-retain-workers/825505/",
+        "published_at": "2026-07-17T14:35:00+00:00",
+        "source_id": "hr_dive",
+        "source_name": "HR Dive",
+        "source_region": "全球",
+        "source_level": "行业媒体",
+        "is_ai_hr": false,
+        "category": "案例、报告与趋势",
+        "id": "93e723797f1c"
+      },
+      {
+        "title": "This week in 5 numbers: Employees spend nearly a day ‘botsitting’ AI each week",
+        "url": "https://www.hrdive.com/news/employees-spend-nearly-a-day-botsitting-ai-each-week/825433/",
+        "published_at": "2026-07-16T20:15:00+00:00",
+        "source_id": "hr_dive",
+        "source_name": "HR Dive",
+        "source_region": "全球",
+        "source_level": "行业媒体",
+        "is_ai_hr": false,
+        "category": "案例、报告与趋势",
+        "id": "6ad54dae4cba"
+      }
+    ]
+  },
+  "all_items": [
+    {
+      "title": "Remote work isn’t always a ‘reasonable’ accommodation: 4 tips for employers",
+      "url": "https://www.hrdive.com/news/remote-work-isnt-always-a-reasonable-accommodation-4-tips-for-employers/825542/",
+      "published_at": "2026-07-17T15:55:00+00:00",
+      "source_id": "hr_dive",
+      "source_name": "HR Dive",
+      "source_region": "全球",
+      "source_level": "行业媒体",
+      "is_ai_hr": false,
+      "category": "组织与人才管理",
+      "id": "94f58f5ed83b"
+    },
+    {
+      "title": "Nespresso must face African American’s race discrimination claim, court rules",
+      "url": "https://www.hrdive.com/news/nespresso-must-face-african-americans-race-discrimination-claim-court-rul/825536/",
+      "published_at": "2026-07-17T15:55:00+00:00",
+      "source_id": "hr_dive",
+      "source_name": "HR Dive",
+      "source_region": "全球",
+      "source_level": "行业媒体",
+      "is_ai_hr": false,
+      "category": "案例、报告与趋势",
+      "id": "fdcaa8dd76ca"
+    },
+    {
+      "title": "Secondhand harassment supports hostile work environment claim, 5th Circuit holds",
+      "url": "https://www.hrdive.com/news/secondhand-harassment-supports-hostile-work-environment-claim-5th-circuit/825514/",
+      "published_at": "2026-07-17T15:55:00+00:00",
+      "source_id": "hr_dive",
+      "source_name": "HR Dive",
+      "source_region": "全球",
+      "source_level": "行业媒体",
+      "is_ai_hr": false,
+      "category": "案例、报告与趋势",
+      "id": "fcbccc5e4d6b"
+    },
+    {
+      "title": "Employers may soon find it harder to retain workers",
+      "url": "https://www.hrdive.com/news/employers-may-soon-find-it-harder-to-retain-workers/825505/",
+      "published_at": "2026-07-17T14:35:00+00:00",
+      "source_id": "hr_dive",
+      "source_name": "HR Dive",
+      "source_region": "全球",
+      "source_level": "行业媒体",
+      "is_ai_hr": false,
+      "category": "案例、报告与趋势",
+      "id": "93e723797f1c"
+    },
+    {
+      "title": "How AI ‘workslop’ is undermining your organization’s performance",
+      "url": "https://www.hrdive.com/news/how-ai-workslop-is-undermining-your-organizations-performance/825517/",
+      "published_at": "2026-07-17T14:35:00+00:00",
+      "source_id": "hr_dive",
+      "source_name": "HR Dive",
+      "source_region": "全球",
+      "source_level": "行业媒体",
+      "is_ai_hr": true,
+      "category": "组织与人才管理",
+      "id": "61c5e5abb7a9"
+    },
+    {
+      "title": "This week in 5 numbers: Employees spend nearly a day ‘botsitting’ AI each week",
+      "url": "https://www.hrdive.com/news/employees-spend-nearly-a-day-botsitting-ai-each-week/825433/",
+      "published_at": "2026-07-16T20:15:00+00:00",
+      "source_id": "hr_dive",
+      "source_name": "HR Dive",
+      "source_region": "全球",
+      "source_level": "行业媒体",
+      "is_ai_hr": false,
+      "category": "案例、报告与趋势",
+      "id": "6ad54dae4cba"
+    },
+    {
+      "title": "AI may conceal growing ‘learning debt’ for fast-changing roles",
+      "url": "https://www.hrdive.com/news/ai-may-conceal-growing-learning-debt-for-fast-changing-roles/825396/",
+      "published_at": "2026-07-16T14:46:00+00:00",
+      "source_id": "hr_dive",
+      "source_name": "HR Dive",
+      "source_region": "全球",
+      "source_level": "行业媒体",
+      "is_ai_hr": true,
+      "category": "学习发展与技能转型",
+      "id": "94cfcdff3a70"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/docs/HR_RADAR_MVP.md b/docs/HR_RADAR_MVP.md
new file mode 100644
index 00000000000..7ce77a7e0af
--- /dev/null
+++ b/docs/HR_RADAR_MVP.md
@@ -0,0 +1,122 @@
+# 中国 HR × AI 情报台：MVP 需求说明
+
+## 1. 项目定位
+
+这是一个面向中国大陆 HR 团队的内部公开资讯情报台。
+
+目标不是做泛 AI 新闻聚合，而是在工作日每天帮助 HR 团队快速了解：
+
+- 有哪些劳动用工、就业、社保、人才及数据合规政策变化；
+- AI 正在如何影响招聘、组织管理、培训与 HR 数字化；
+- 有哪些值得评估的 HR 产品、企业实践和人才趋势。
+
+站点只收录公开资讯。不得出现公司内部信息、员工信息、候选人数据、未公开招聘计划、内部评价或内部文档。
+
+## 2. 使用范围
+
+- 使用者：内部 HR、HRBP、招聘、HRIS、学习发展及相关管理者；
+- 访问方式：任何获得链接的团队成员可访问；
+- 内容性质：公开资讯汇总与内部信息参考；
+- 免责声明：自动摘要不构成劳动法律意见；政策以官方原文及法务意见为准。
+
+## 3. 政策覆盖范围
+
+全国政策为主，重点关注：
+
+1. 上海；
+2. 北京；
+3. 深圳。
+
+所有政策资讯尽可能展示：
+
+- 适用地区；
+- 信息等级：官方政策 / 官方解读 / 行业资讯；
+- 生效日期（原文明确时）；
+- 官方原文链接。
+
+## 4. 首版栏目
+
+1. 政策与劳动合规
+2. AI 招聘与招聘工具
+3. 组织与人才管理
+4. 学习发展与技能转型
+5. HR 产品与数字化
+6. 案例、报告与趋势
+
+## 5. 内容优先级
+
+从高到低排序：
+
+1. 全国、上海、北京、深圳的劳动用工与合规政策；
+2. 影响招聘、候选人数据、员工个人信息或自动化决策的 AI 变化；
+3. HR SaaS、招聘系统、企业协同和企业 AI 的重要产品更新；
+4. 可信企业案例；
+5. 人才、就业、技能和组织趋势报告。
+
+每日精选目标为 8 至 12 条。
+
+## 6. 纳入主题
+
+### 6.1 劳动政策与合规
+
+- 劳动合同、劳动关系、劳动争议；
+- 工时、加班、休假、工资支付；
+- 社会保险、公积金、最低工资；
+- 招聘、就业、人才引进、职业技能和培训补贴；
+- 裁员、竞业限制、劳务派遣、灵活用工、外包；
+- 个人信息保护、员工数据、员工监控；
+- 算法治理、生成式 AI、自动化决策。
+
+### 6.2 AI × HR
+
+- AI 招聘、AI 面试、简历筛选、人才画像；
+- HR Agent、HR 智能体、员工服务自动化；
+- AI 绩效、人才盘点、组织设计、员工体验；
+- 企业 AI 培训、岗位技能转型、学习发展；
+- People Analytics、人才智能、HR 数据治理；
+- HR SaaS 与企业 AI 产品更新。
+
+## 7. 明确排除
+
+- 纯模型、芯片、编程工具、AI 绘图和视频模型新闻；
+- 与招聘、员工、组织、培训、劳动政策无关的泛 AI 新闻；
+- HR 厂商奖项、品牌宣传和无实际产品/案例价值的营销稿；
+- 付费报告全文；
+- 未经验证的自媒体政策解读；
+- 公众号、X、小红书、抖音等需要不稳定抓取或账号权限的内容；
+- 任何公司内部信息或个人数据。
+
+## 8. 首批优先信源方向
+
+### 官方与政策
+
+- 人力资源和社会保障部；
+- 中国政府网；
+- 国家互联网信息办公室；
+- 国家统计局；
+- 上海市人力资源和社会保障局；
+- 北京市人力资源和社会保障局；
+- 深圳市人力资源和社会保障局。
+
+### HR 产品、招聘与企业数字化
+
+- 北森；
+- Moka；
+- 飞书；
+- 钉钉；
+- 智联招聘；
+- 猎聘。
+
+### 趋势参考
+
+- LinkedIn Talent Blog / Economic Graph；
+- 世界经济论坛（WEF）。
+
+## 9. 更新和发布规则
+
+- 更新频率：工作日每天北京时间 08:30；
+- 数据来源：优先官方 RSS、Atom、公开 API 和稳定公开页面；
+- 不使用私人邮箱、Cookie、登录态或付费社交平台 API；
+- 每条内容保留原始来源链接；
+- 政策类和合规类内容必须优先展示官方原文；
+- AI 生成摘要仅用于辅助阅读，不能替代法务审核。
diff --git a/hr/index.html b/hr/index.html
new file mode 100644
index 00000000000..d6a748fb3e0
--- /dev/null
+++ b/hr/index.html
@@ -0,0 +1,136 @@
+<!DOCTYPE html>
+<html lang="zh-CN">
+<head>
+  <meta charset="UTF-8">
+  <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  <title>HR × AI 资讯台</title>
+  <style>
+    * { margin: 0; padding: 0; box-sizing: border-box; }
+    body { font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif; background: #f5f5f5; color: #333; line-height: 1.6; }
+    .header { background: #1a237e; color: white; padding: 20px; text-align: center; }
+    .header h1 { font-size: 24px; margin-bottom: 8px; }
+    .header .subtitle { font-size: 14px; opacity: 0.9; }
+    .header .update-time { font-size: 12px; margin-top: 8px; opacity: 0.7; }
+    .container { max-width: 900px; margin: 0 auto; padding: 20px; }
+    .category { margin-bottom: 24px; }
+    .category-title { font-size: 18px; font-weight: 600; color: #1a237e; padding: 12px 16px; background: white; border-left: 4px solid #1a237e; margin-bottom: 12px; }
+    .category-count { font-size: 14px; color: #666; font-weight: normal; }
+    .item { background: white; padding: 16px; margin-bottom: 10px; border-radius: 8px; box-shadow: 0 1px 3px rgba(0,0,0,0.1); }
+    .item-header { display: flex; justify-content: space-between; align-items: flex-start; margin-bottom: 8px; }
+    .item-title { font-size: 15px; font-weight: 500; color: #333; line-height: 1.5; flex: 1; }
+    .item-title a { color: #1565c0; text-decoration: none; }
+    .item-title a:hover { text-decoration: underline; }
+    .item-ai { font-size: 11px; background: #e3f2fd; color: #1565c0; padding: 2px 8px; border-radius: 12px; white-space: nowrap; margin-left: 8px; }
+    .item-meta { font-size: 12px; color: #888; margin-top: 6px; }
+    .item-source { color: #666; }
+    .item-region { background: #f0f0f0; padding: 1px 6px; border-radius: 4px; margin-left: 8px; }
+    .empty { text-align: center; padding: 40px; color: #999; font-size: 14px; }
+    .footer { text-align: center; padding: 20px; font-size: 12px; color: #999; }
+    .disclaimer { background: #fff3e0; border: 1px solid #ffe0b2; padding: 12px 16px; margin-bottom: 20px; border-radius: 6px; font-size: 13px; color: #e65100; }
+    @media (max-width: 600px) {
+      .container { padding: 10px; }
+      .item-header { flex-direction: column; }
+      .item-ai { margin-left: 0; margin-top: 6px; display: inline-block; }
+    }
+  </style>
+</head>
+<body>
+  <div class="header">
+    <h1>HR × AI 资讯台</h1>
+    <div class="subtitle">聚焦 HR 与 AI 交叉领域</div>
+    <div class="update-time" id="update-time">加载中...</div>
+  </div>
+  
+  <div class="container">
+    <div class="disclaimer">
+      ⚠️ 本页面仅汇总公开资讯，不构成劳动法律意见。政策类内容请以官方原文及法务意见为准。
+    </div>
+    <div id="content">加载中...</div>
+  </div>
+  
+  <div class="footer">
+    HR × AI 资讯台 · 内部试运行
+  </div>
+
+  <script>
+    async function loadData() {
+      try {
+        const response = await fetch('../data/hr-radar.json');
+        if (!response.ok) throw new Error('数据加载失败');
+        const data = await response.json();
+        
+        document.getElementById('update-time').textContent = 
+          '更新时间：' + (data.generated_at ? data.generated_at.substring(0, 19).replace('T', ' ') : '未知');
+        
+        const content = document.getElementById('content');
+        
+        if (!data.items_by_category || Object.keys(data.items_by_category).length === 0) {
+          content.innerHTML = '<div class="empty">暂无资讯</div>';
+          return;
+        }
+        
+        let html = '';
+        
+        for (const category of data.categories) {
+          const items = data.items_by_category[category] || [];
+          if (items.length === 0) continue;
+          
+          html += '<div class="category">';
+          html += '<div class="category-title">' + escapeHtml(category) + 
+                  '<span class="category-count"> (' + items.length + ')</span></div>';
+          
+          for (const item of items) {
+            html += '<div class="item">';
+            html += '<div class="item-header">';
+            html += '<div class="item-title">';
+            html += '<a href="' + escapeHtml(item.url) + '" target="_blank" rel="noopener">' + 
+                    escapeHtml(item.title) + '</a>';
+            html += '</div>';
+            if (item.is_ai_hr) {
+              html += '<span class="item-ai">AI×HR</span>';
+            }
+            html += '</div>';
+            html += '<div class="item-meta">';
+            html += '<span class="item-source">' + escapeHtml(item.source_name || '未知来源') + '</span>';
+            if (item.source_region && item.source_region !== '未知') {
+              html += '<span class="item-region">' + escapeHtml(item.source_region) + '</span>';
+            }
+            html += '<span style="margin-left: 8px;">' + formatTime(item.published_at) + '</span>';
+            html += '</div>';
+            html += '</div>';
+          }
+          
+          html += '</div>';
+        }
+        
+        content.innerHTML = html;
+        
+      } catch (err) {
+        document.getElementById('content').innerHTML = 
+          '<div class="empty">加载失败: ' + escapeHtml(err.message) + '</div>';
+      }
+    }
+    
+    function escapeHtml(text) {
+      if (!text) return '';
+      const div = document.createElement('div');
+      div.textContent = text;
+      return div.innerHTML;
+    }
+    
+    function formatTime(isoString) {
+      if (!isoString) return '';
+      try {
+        const d = new Date(isoString);
+        return d.toLocaleString('zh-CN', { 
+          month: 'short', day: 'numeric', hour: '2-digit', minute: '2-digit' 
+        });
+      } catch(e) {
+        return '';
+      }
+    }
+    
+    loadData();
+  </script>
+</body>
+</html>
\ No newline at end of file
diff --git a/scripts/update_hr_radar.py b/scripts/update_hr_radar.py
new file mode 100644
index 00000000000..1018ec6bbf1
--- /dev/null
+++ b/scripts/update_hr_radar.py
@@ -0,0 +1,321 @@
+#!/usr/bin/env python3
+"""
+HR × AI 资讯台 - 抓取与处理脚本
+基于原项目思路，但独立运行，只处理 HR 相关资讯
+"""
+
+import json
+import hashlib
+from datetime import datetime, timezone, timedelta
+from pathlib import Path
+import feedparser
+
+# 读取配置文件
+CONFIG_PATH = Path("config/hr_sources.json")
+OUTPUT_DIR = Path("data")
+OUTPUT_PATH = OUTPUT_DIR / "hr-radar.json"
+
+# HR 关键词库（按栏目分类）
+HR_KEYWORDS = {
+    "policy": [
+        "劳动合同", "劳动关系", "劳动争议", "社保", "公积金", "最低工资",
+        "工时", "加班", "休假", "招聘", "就业", "人才引进", "职业技能",
+        "培训补贴", "裁员", "竞业限制", "劳务派遣", "灵活用工", "外包",
+        "个人信息", "员工数据", "员工监控", "算法", "生成式AI", "自动化决策",
+        "劳动", "劳动法", "合规", "用工", "工资", "薪酬", "福利",
+        "social security", "labor law", "employment", "compliance",
+        "workforce", "payroll", "benefits"
+    ],
+    "ai_recruiting": [
+        "AI招聘", "智能招聘", "AI面试", "简历筛选", "人才画像",
+        "招聘自动化", "ATS", "候选人", "AI recruiting", "AI hiring",
+        "resume screening", "talent acquisition", "interview"
+    ],
+    "org_talent": [
+        "组织", "人才", "绩效", "人才盘点", "组织设计", "HRBP",
+        "员工体验", "People Analytics", "组织发展", "OD", "Talent",
+        "organization", "performance", "talent management"
+    ],
+    "learning": [
+        "AI培训", "学习发展", "技能转型", "企业培训", "岗位技能",
+        "人才培养", "L&D", "learning", "upskilling", "training"
+    ],
+    "hr_product": [
+        "HR SaaS", "飞书", "钉钉", "北森", "Moka", "Workday",
+        "SAP", "人力资源系统", "数字化", "HR tech", "HRIS",
+        "SaaS", "software", "platform"
+    ],
+    "cases": [
+        "案例", "报告", "趋势", "研究", "调研", "白皮书",
+        "report", "trend", "study", "research", "case study"
+    ]
+}
+
+# AI 相关关键词（用于交叉判断）
+AI_KEYWORDS = [
+    "AI", "人工智能", "大模型", "LLM", "生成式", "GenAI", "Agent",
+    "智能体", "算法", "自动化", "机器学习", "深度学习", "数字化",
+    "artificial intelligence", "machine learning", "automation",
+    "generative AI", "large language model"
+]
+
+# 噪音排除（看到这些词的内容不要）
+NOISE_KEYWORDS = [
+    "娱乐", "明星", "八卦", "体育", "彩票", "旅游", "美食",
+    "游戏", "影视", "股票", "炒股", "crypto", "bitcoin"
+]
+
+
+def load_config() -> dict:
+    with open(CONFIG_PATH, "r", encoding="utf-8") as f:
+        return json.load(f)
+
+
+def fetch_rss(source: dict) -> list[dict]:
+    """抓取 RSS 来源"""
+    url = source.get("url", "")
+    if not url:
+        return []
+    
+    items = []
+    try:
+        parsed = feedparser.parse(url)
+        for entry in parsed.entries:
+            title = entry.get("title", "")
+            link = entry.get("link", "")
+            published = entry.get("published", "")
+            
+            if not title or not link:
+                continue
+            
+            # 解析时间
+            parsed_time = None
+            if published:
+                try:
+                    if hasattr(entry, "published_parsed") and entry.published_parsed:
+                        parsed_time = datetime(*entry.published_parsed[:6], tzinfo=timezone.utc)
+                    elif hasattr(entry, "updated_parsed") and entry.updated_parsed:
+                        parsed_time = datetime(*entry.updated_parsed[:6], tzinfo=timezone.utc)
+                except Exception:
+                    pass
+            
+            if not parsed_time:
+                parsed_time = datetime.now(timezone.utc)
+            
+            items.append({
+                "title": title,
+                "url": link,
+                "published_at": parsed_time.isoformat(),
+                "source_id": source.get("id", "unknown"),
+                "source_name": source.get("name", "Unknown"),
+                "source_region": source.get("region", "未知"),
+                "source_level": source.get("level", "一般")
+            })
+    except Exception as e:
+        print(f"抓取失败 {source.get('name')}: {e}")
+    
+    return items
+
+
+def classify_item(title: str) -> str | None:
+    """基于标题关键词分类到 6 个栏目之一"""
+    t = title.lower()
+    
+    # 1. 政策与劳动合规（最高优先级）
+    if any(kw.lower() in t for kw in HR_KEYWORDS["policy"]):
+        return "政策与劳动合规"
+    
+    # 2. AI 招聘
+    if any(kw.lower() in t for kw in HR_KEYWORDS["ai_recruiting"]):
+        return "AI 招聘与招聘工具"
+    
+    # 3. 组织与人才
+    if any(kw.lower() in t for kw in HR_KEYWORDS["org_talent"]):
+        return "组织与人才管理"
+    
+    # 4. 学习发展
+    if any(kw.lower() in t for kw in HR_KEYWORDS["learning"]):
+        return "学习发展与技能转型"
+    
+    # 5. HR 产品
+    if any(kw.lower() in t for kw in HR_KEYWORDS["hr_product"]):
+        return "HR 产品与数字化"
+    
+    # 6. 案例报告
+    if any(kw.lower() in t for kw in HR_KEYWORDS["cases"]):
+        return "案例、报告与趋势"
+    
+    return None
+
+
+def is_hr_relevant(title: str) -> bool:
+    """判断是否 HR 相关"""
+    t = title.lower()
+    
+    # 排除噪音
+    for noise in NOISE_KEYWORDS:
+        if noise.lower() in t:
+            return False
+    
+    # 只要有 HR 或 AI 相关关键词，就保留
+    all_hr = []
+    for kw_list in HR_KEYWORDS.values():
+        all_hr.extend(kw_list)
+    
+    has_hr = any(kw.lower() in t for kw in all_hr)
+    has_ai = any(kw.lower() in t for kw in AI_KEYWORDS)
+    
+    return has_hr or has_ai
+
+
+def is_ai_hr_crossover(title: str) -> bool:
+    """判断是否 AI × HR 交叉内容"""
+    t = title.lower()
+    all_hr = []
+    for kw_list in HR_KEYWORDS.values():
+        all_hr.extend(kw_list)
+    has_hr = any(kw.lower() in t for kw in all_hr)
+    has_ai = any(kw.lower() in t for kw in AI_KEYWORDS)
+    return has_hr and has_ai
+
+
+def dedupe_items(items: list[dict]) -> list[dict]:
+    """基于 URL 和标题去重"""
+    seen_urls = set()
+    seen_titles = set()
+    result = []
+    
+    for item in items:
+        url = item.get("url", "")
+        title = item.get("title", "")
+        
+        if url in seen_urls:
+            continue
+        seen_urls.add(url)
+        
+        title_norm = title.strip().lower()
+        if title_norm in seen_titles:
+            continue
+        seen_titles.add(title_norm)
+        
+        result.append(item)
+    
+    return result
+
+
+def main():
+    print("=" * 40)
+    print("HR × AI 资讯台 - 更新脚本")
+    print("=" * 40)
+    
+    config = load_config()
+    categories = config.get("categories", [])
+    
+    # 读取配置中的 sources，如果为空则使用内置测试源
+    sources = config.get("sources", [])
+    if not sources:
+        print("配置中 sources 为空，使用内置测试源...")
+        sources = [
+            {
+                "id": "hr_dive",
+                "name": "HR Dive",
+                "type": "rss",
+                "url": "https://www.hrdive.com/feeds/news/",
+                "region": "全球",
+                "level": "行业媒体",
+                "default_category": "HR 产品与数字化",
+                "enabled": True
+            },
+            {
+                "id": "people_mgmt",
+                "name": "People Management",
+                "type": "rss",
+                "url": "https://www.peoplemanagement.co.uk/rss",
+                "region": "全球",
+                "level": "行业媒体",
+                "default_category": "组织与人才管理",
+                "enabled": True
+            },
+            {
+                "id": "hbr_manage",
+                "name": "HBR Managing People",
+                "type": "rss",
+                "url": "https://hbr.org/rss/topic/managing-people",
+                "region": "全球",
+                "level": "权威媒体",
+                "default_category": "案例、报告与趋势",
+                "enabled": True
+            }
+        ]
+    
+    all_items = []
+    for source in sources:
+        if not source.get("enabled", True):
+            continue
+        print(f"正在抓取: {source['name']} ...")
+        items = fetch_rss(source)
+        print(f"  获取 {len(items)} 条")
+        all_items.extend(items)
+    
+    print(f"\n总计抓取: {len(all_items)} 条原始资讯")
+    
+    # 筛选与分类
+    processed = []
+    for item in all_items:
+        title = item.get("title", "")
+        if not is_hr_relevant(title):
+            continue
+        
+        category = classify_item(title)
+        if not category:
+            category = item.get("default_category", "案例、报告与趋势")
+        
+        item["is_ai_hr"] = is_ai_hr_crossover(title)
+        item["category"] = category
+        
+        # 生成唯一 ID
+        uid = hashlib.md5(f"{item['url']}{item['title']}".encode()).hexdigest()[:12]
+        item["id"] = uid
+        
+        processed.append(item)
+    
+    print(f"HR 相关筛选后: {len(processed)} 条")
+    
+    # 去重
+    processed = dedupe_items(processed)
+    print(f"去重后: {len(processed)} 条")
+    
+    # 按时间倒序
+    processed.sort(key=lambda x: x.get("published_at", ""), reverse=True)
+    
+    # 取每日上限
+    limit = config.get("daily_pick_limit", 12)
+    final_items = processed[:limit]
+    
+    # 按栏目分组
+    categorized = {cat: [] for cat in categories}
+    for item in final_items:
+        cat = item.get("category", "案例、报告与趋势")
+        if cat in categorized:
+            categorized[cat].append(item)
+    
+    # 生成输出
+    OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
+    
+    output = {
+        "generated_at": datetime.now(timezone(timedelta(hours=8))).isoformat(),
+        "name": config.get("name", "HR × AI 资讯台"),
+        "total_count": len(final_items),
+        "categories": categories,
+        "items_by_category": categorized,
+        "all_items": final_items
+    }
+    
+    with open(OUTPUT_PATH, "w", encoding="utf-8") as f:
+        json.dump(output, f, ensure_ascii=False, indent=2)
+    
+    print(f"\n已生成: {OUTPUT_PATH}")
+    print(f"   共 {len(final_items)} 条精选资讯")
+
+if __name__ == "__main__":
+    main()
\ No newline at end of file