菜单
使用本机 browser-first xiaohongshu-mcp 只读搜索小红书、下载候选首图、补全用户选择的笔记详情，并把脱敏证据写入调用方 Memory。用于 xhs-replicate 的选题和视觉参考研究，取代小红书 MediaCrawler 路径。
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/tsingyuai/growth-lab --skill xiaohongshu-mcp命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Install, authenticate, configure, operate, and troubleshoot the external MediaCrawler client shared by Douyin, Kuaishou, Bilibili, Weibo, Tieba, and Zhihu collectors. Xiaohongshu uses the separate browser-first xiaohongshu-mcp Collector. Use when auditing this client, onboarding a supported platform account, selecting search/detail/creator modes, enabling comments or media, locating outputs, or diagnosing crawler failures.
Generate, edit, or batch-create SEO, marketing, social, and document images with Gemini or OpenAI through the repository-owned Growth Lab image client. Use when a page or content loop needs illustrations, diagrams, covers, reference-image edits, multiple candidates, or verified image text and composition. This is the only AI image-generation Executor in Growth Lab.
把已批准的小红书草稿、单一分析参考和真实产品素材变成可审查卡片：先完成 DAI 与 image plan，再按确定性、完整效果或可分离图层模式制作，机械验证 PNG 与清单并运行合规检查。精确文字和真实 UI 不交给模型猜测；AI 生图需要单独配置和授权。
基于 SOC 职业分类
正在显示 SKILL.md
| name | xiaohongshu-mcp |
| description | 使用本机 browser-first xiaohongshu-mcp 只读搜索小红书、下载候选首图、补全用户选择的笔记详情，并把脱敏证据写入调用方 Memory。用于 xhs-replicate 的选题和视觉参考研究，取代小红书 MediaCrawler 路径。 |
Read runtime.md before startup and cover-screening.md before visual selection.
Before collection, tell the user:
If required settings are missing, stop and invoke onboard-growth-lab. Give the user the exact configuration file and fields from CONFIGURATION.md; never ask them to paste a key, cookie, or signed URL into the conversation.
powershell -ExecutionPolicy Bypass -File collectors/xiaohongshu-mcp/scripts/start_xiaohongshu_service.ps1
python collectors/xiaohongshu-mcp/scripts/collect_xiaohongshu.py "<topic>" `
--limit 25 --cover-pool 25 `
--out "memory/xhs-replicate/<run>/xiaohongshu-search.json"
The service must be local HTTP only. If it is not logged in, explain the boundary, ask before opening the visible login window, run login_xiaohongshu.ps1, verify once, and resume. Stop on timeout, risk-control, login loss, or repeated empty responses; do not loop around platform controls.
visual-reference-selection.json:python collectors/xiaohongshu-mcp/scripts/validate_visual_reference_selection.py `
--selection <run>/visual-reference-selection.json `
--candidates <run>/visual-candidates.json
Use the selected reference for analysis only. Do not copy its wording, logo, proprietary UI, exact composition, or visual identity.
Write search evidence, candidate images, selection, and detail summaries only under the calling Model's ignored memory/xhs-replicate/ run directory. Persist clean note IDs and public URLs, never xsec tokens, cookies, signed media URLs, avatars, or raw response fields containing credentials.
Return the query, batch size, collection time, access limits, candidates, visible engagement, selection status, clean public URLs, missing evidence, and one recommended next action. The user must be able to see the candidate image or public source before choosing.