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红薯雷达

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Overview

小红书内容质量雷达 — 用 AI 识别低质内容,净化你的信息流

红薯雷达是一款小红书内容质量守护工具,帮助你在浏览小红书时自动识别和过滤低质量内容。 主要功能: • AI 智能分析 — 利用大语言模型识别标题党、焦虑诱导、虚假信息、软广伪装、情绪操控等低质内容 • 两种过滤模式 — 模糊模式(高斯模糊 + 点击可查看)或隐藏模式(直接移除) • 关键词预筛 — 内置常见低质内容关键词库,命中即标记,无需调用 API • 自定义规则 — 创建你自己的过滤规则和关键词 • 灵敏度调节 — 从宽松到严格,按你的偏好调整过滤力度 • 实时统计 — 查看扫描数、标记数、缓存命中、API 调用等数据 • 隐私优先 — 所有配置和缓存存储在本地,API Key 由你自行管理 使用方式: 1. 安装扩展后打开设置页面 2. 填入你的 AI API 配置(支持 OpenAI 兼容接口和 Anthropic) 3. 打开小红书,扩展会自动分析信息流中的笔记卡片 4. 通过弹窗面板随时开关或切换过滤模式 注意:本扩展需要你提供自己的 AI API Key 才能使用 AI 分析功能。关键词过滤功能无需 API Key。 如有问题或建议,欢迎在 GitHub 仓库提交 Issue。 Hongshu Radar helps you identify and filter low-quality content on Xiaohongshu (Little Red Book). Features: • AI-powered analysis — Detect clickbait, anxiety-inducing, misleading, hidden ads, and emotionally manipulative content • Two filter modes — Blur (with click-to-reveal) or Vanish (hide completely) • Keyword pre-filter — Built-in keyword matching for instant detection without API calls • Custom rules — Create your own filter rules and keywords • Adjustable sensitivity — Fine-tune from lenient to strict • Privacy-first — All data stored locally, you manage your own API key Note: Requires your own AI API key (OpenAI-compatible or Anthropic) for AI analysis. Keyword filtering works without an API key.

Details

  • Version
    0.1.0
  • Updated
    April 1, 2026
  • Offered by
    yxwucq
  • Size
    123KiB
  • Languages
    中文(中国)
  • Developer
    Email
    yxwucq@outlook.com
  • Non-trader
    This developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.

Privacy

Manage extensions and learn how they're being used in your organization

红薯雷达 has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.

红薯雷达 handles the following:

Authentication information
Website content

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes
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