小红书选品与商品趋势分析 · Product Trend Fit — 发笔记前先判热度 + 找爆款参考
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Description
小红书选品 / 商品趋势分析（product trend analysis）——发笔记前先看商品在小红书有没有热度：传入商品图片，自动判断品类/风格/场景方向，搜近 2 周热度趋势，深挖真实爆款笔记（赞≥100）做分维度拆解，输出宣传方向 + 爆款素材 HTML 报告，不需要任何第三方 API key。English: check product trend & heat on Xiaohongshu before you post. 需要 webclaw3 浏览器运行时：clawhub.ai/fatmind/skills/webclaw3-browser-automation
Install 小红书选品与商品趋势分析 · Product Trend Fit — 发笔记前先判热度 + 找爆款参考
Run this in your OpenClaw agent to add 小红书选品与商品趋势分析 · Product Trend Fit — 发笔记前先判热度 + 找爆款参考 from the ClawHub registry.
openclaw skills install xhs-product-trend-fitRequires ClawHub registry access. Review the security analysis below before installing.
Security Analysis
Open Source
Code is publicly available for audit.
Community Verified
Reviewed by the ClawHub community.
Community Reviews
Real user ratings only — separate from the editorial assessment and ClawHub signal.
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Frequently asked questions
Is 小红书选品与商品趋势分析 · Product Trend Fit — 发笔记前先判热度 + 找爆款参考 safe to install?
小红书选品与商品趋势分析 · Product Trend Fit — 发笔记前先判热度 + 找爆款参考 has a SkillsReview security score of 50/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.
How much does 小红书选品与商品趋势分析 · Product Trend Fit — 发笔记前先判热度 + 找爆款参考 cost?
小红书选品与商品趋势分析 · Product Trend Fit — 发笔记前先判热度 + 找爆款参考 is free to install for OpenClaw via ClawHub.
What are the best alternatives to 小红书选品与商品趋势分析 · Product Trend Fit — 发笔记前先判热度 + 找爆款参考?
You can compare 小红书选品与商品趋势分析 · Product Trend Fit — 发笔记前先判热度 + 找爆款参考 side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.
How do I install 小红书选品与商品趋势分析 · Product Trend Fit — 发笔记前先判热度 + 找爆款参考?
Install 小红书选品与商品趋势分析 · Product Trend Fit — 发笔记前先判热度 + 找爆款参考 from ClawHub at clawhub.ai/skills/xhs-product-trend-fit, or use the install action on this page to copy the command for your OpenClaw agent.
Community Signal
Historical movement
Timeline plus trend snapshots for security, reviews, and reputation tilt.
Trend Charts
30 / 90 / 180 day snapshots for ranking movement and security-score movement.
Last updated unknown UTC
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