diff --git a/.github/workflows/ua_factory.yml b/.github/workflows/ua_factory.yml
new file mode 100644
index 0000000..02822b0
--- /dev/null
+++ b/.github/workflows/ua_factory.yml
@@ -0,0 +1,33 @@
+name: Automated Massive UA Factory
+
+on:
+  schedule:
+    # 每个月 1 号凌晨 00:00 执行
+    - cron: '0 0 1 * *'
+  workflow_dispatch: # 允许手动点击运行
+
+jobs:
+  build-and-deploy:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: write # 必须赋予写入权限，否则无法更新仓库文件
+      
+    steps:
+    - name: 📥 Checkout Repository
+      uses: actions/checkout@v4
+
+    - name: ⚙️ Setup Python
+      uses: actions/setup-python@v5
+      with:
+        python-version: '3.10'
+
+    - name: 🚀 Run UA Factory Generator
+      run: python scripts/ua_generator.py
+
+    - name: 📤 Commit and Push to Main
+      run: |
+        git config --local user.email "github-actions[bot]@users.noreply.github.com"
+        git config --local user.name "github-actions[bot]"
+        git add data/user_agents.txt
+        # 只有在文件内容确实发生变化时才执行提交
+        git diff --quiet && git diff --staged --quiet || (git commit -m "chore(data): 🤖 自动机兵：刷新 4000 条绝对坐标指纹库" && git push)
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diff --git a/scripts/ua_generator.py b/scripts/ua_generator.py
new file mode 100644
index 0000000..cb2d1d0
--- /dev/null
+++ b/scripts/ua_generator.py
@@ -0,0 +1,77 @@
+import random
+import os
+
+# ==========================================
+# IP-Sentinel 超大型高保真指纹工厂 (V3.1.5)
+# 无需第三方库，直接生成千万级组合的真实指纹
+# ==========================================
+
+def generate_chrome_version():
+    # 模拟 2024 年主流 Chrome 内核号 (122 - 125)
+    major = random.randint(122, 125)
+    build = random.randint(5000, 6500)
+    patch = random.randint(10, 150)
+    return f"{major}.0.{build}.{patch}"
+
+def generate_windows_ua(count=1000):
+    uas = set()
+    while len(uas) < count:
+        # 现代 Windows UA 已经固化为 Windows NT 10.0
+        uas.add(f"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/{generate_chrome_version()} Safari/537.36")
+    return list(uas)
+
+def generate_macos_ua(count=1000):
+    uas = set()
+    while len(uas) < count:
+        mac_os_minor = random.randint(11, 15)
+        mac_os_patch = random.randint(1, 6)
+        if random.choice([True, False]):
+            # Chrome on Mac
+            uas.add(f"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_{mac_os_minor}_{mac_os_patch}) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/{generate_chrome_version()} Safari/537.36")
+        else:
+            # Safari on Mac
+            safari_build = f"605.1.{random.randint(10, 15)}"
+            safari_version = f"17.{random.randint(1, 4)}"
+            uas.add(f"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_{mac_os_minor}_{mac_os_patch}) AppleWebKit/{safari_build} (KHTML, like Gecko) Version/{safari_version} Safari/{safari_build}")
+    return list(uas)
+
+def generate_ios_ua(count=1000):
+    uas = set()
+    devices = ["iPhone", "iPad"]
+    while len(uas) < count:
+        device = random.choice(devices)
+        ios_major = random.randint(16, 17)
+        ios_minor = random.randint(1, 5)
+        ios_patch = random.randint(1, 3)
+        safari_build = f"605.1.{random.randint(10, 15)}"
+        safari_version = f"{ios_major}.{random.choice(['0', '1', '2', '3'])}"
+        
+        uas.add(f"Mozilla/5.0 ({device}; CPU {'iPhone ' if device=='iPhone' else ''}OS {ios_major}_{ios_minor}_{ios_patch} like Mac OS X) AppleWebKit/{safari_build} (KHTML, like Gecko) Version/{safari_version} Mobile/15E148 Safari/604.1")
+    return list(uas)
+
+def generate_android_ua(count=1000):
+    uas = set()
+    # 主流 Android 机型库
+    models = ["Pixel 8 Pro", "Pixel 8", "Pixel 7a", "Pixel 7 Pro", "SM-S928B", "SM-S928U", "SM-S918B", "SM-A546B", "SM-A346B", "23113RKC6C", "23049PCD8G", "CPH2437", "V2227A", "PGT-AN10", "NX729J"]
+    while len(uas) < count:
+        android_ver = random.randint(12, 14)
+        model = random.choice(models)
+        uas.add(f"Mozilla/5.0 (Linux; Android {android_ver}; {model}) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/{generate_chrome_version()} Mobile Safari/537.36")
+    return list(uas)
+
+if __name__ == "__main__":
+    # 确保输出目录存在
+    os.makedirs('data', exist_ok=True)
+    
+    # 严格按照“绝对坐标”顺序生成 4000 条数据
+    pool = []
+    pool.extend(generate_windows_ua(1000))  # 行 1-1000
+    pool.extend(generate_macos_ua(1000))    # 行 1001-2000
+    pool.extend(generate_ios_ua(1000))      # 行 2001-3000
+    pool.extend(generate_android_ua(1000))  # 行 3001-4000
+    
+    with open('data/user_agents.txt', 'w') as f:
+        for ua in pool:
+            f.write(ua + '\n')
+            
+    print(f"✅ 成功生成 4000 条高保真绝对坐标指纹库！")
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