xiaohongshu-note-analyzer

Comprehensive analysis of Xiaohongshu notes covering keyword optimization, title appeal, content risks, and engagement potential. 对小红书笔记进行全方位分析，提供优化建议，提升内容质量和曝光率。 详见 references/keyword-strategy.md 首段必须包含： 详见 references/title-formulas.md 详见 references/sensitive-words.md 用户分享笔记的原因： 高收藏内容特征： 详见 references/analysis-examples.md - Analyzes six dimensions: keyword strategy and density, headline/opening paragraph appeal, sensitive content risk detection, commercial authenticity scoring, discussion triggers, and content structure - Provides risk assessment across medical/health, financial, political, false advertising, and low-taste content categories with specific violation detection - Delivers actionable optimization recommendations including keyword placement formulas, headline templates (numeric, pain-point, curiosity, comparison, authority, emotional types), and commercial authenticity scoring from 1-10 - Outputs structured analysis reports with priority-ranked modifications and optimized versions of titles and opening paragraphs - 关键词分析 — 搜索热度、关键词布局、标签优化 - 标题/首段吸引力 — 爆款标题元素、首图文案 - 敏感内容风险 — 违规词检测、限流风险评估 - 商业化程度 — 软广硬广识别、自然度评分 - 互动触发潜力 — 讨论点、分享动机、收藏价值 - 内容结构 — 排版、emoji使用、段落节奏 - ✅ 核心关键词 - ✅ 痛点/需求点 - ✅ 吸引继续阅读的钩子 - ✅ 与封面图呼应 - 医疗健康类 — 疾病名称、药品、治疗效果承诺 - 金融理财类 — 收益承诺、投资建议、借贷 - 政治敏感类 — 时政、领导人、敏感事件 - 虚假宣传类 — 最、第一、100%、绝对 - 引流违规类 — 微信号、外链、二维码暗示 - 低俗擦边类 — 性暗示、身材过度暴露 - ✅ 先讲痛点/故事，后引出产品 - ✅...