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小红书运营全链路数据工具｜关键词监控+爆款挖掘+竞品分析+KOL筛选+趋势洞察，用数据驱动小红书流量增长，告别盲目创作
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
Manage Bitbucket pull requests, repositories, and pipelines and Jira issues from the terminal with the bj CLI. bj mirrors the GitHub gh CLI, so gh pr/issue/repo commands map to bj pr/issue/repo, no MCP server or API wiring needed. Installs the bj CLI automatically if it is missing. Use when working with Bitbucket or Jira, opening or reviewing pull requests, managing Jira issues, running pipelines, or when a git branch name contains a Jira issue key like PROJ-42.
Use when auditing a paid ad account for incremental contribution, wasted spend, or measurement integrity before scaling; runs a typed 20-item ROAS profile with verified vetoes and a SHIP/FIX/BLOCK/UNDECIDED gate on own exported data. Not for campaign structure design — use campaign-architect; not for creative production — use ad-creative-builder. 付费广告账户审计/ROAS评分
Use when the user asks to "write ad copy", "generate RSA headlines", or "build ad creative at volume"; produces ad units — RSA headlines/descriptions, hooks, and an angle matrix — message-matched to the destination landing page. Not for scoring an ad account — use ad-account-auditor; not for the post-click page — use landing-optimizer; not for organic articles — use content-writer. 广告创意/广告文案/RSA标题
Use when the user asks to "design an A/B test", "set up a creative/landing test", "run an incrementality test", or "is this result statistically and practically material?"; produces a hypothesis, variant matrix, sample-size/duration/power plan, and a documented effect/uncertainty read from own exported results. It applies only a precommitted owner-approved action rule; the statistical helper never chooses a business action. Not for producing variants — use ad-creative-builder; not for reading back one shipped change — use paid-measurement-loop. 广告AB测试设计/实验设计/显著性判定/增效测试
Use when platform-reported conversions disagree with GA4/ecommerce, when you suspect Meta and Google are double-counting the same sales, or for a standing (monthly) reconciliation workbook that de-dups stacked credit against an order-ID truth set, normalizes attribution windows and currency, compares attribution models, and reads incrementality from a geo/holdout test. Not for the point-in-time R2 veto or RQS gate — use ad-account-auditor; not for the ROI/ROAS ratio math itself — use roi-calculator; not for organic dark-social share attribution or GA4 direct-traffic decomposition — use dark-social-attributor. 付费广告归因对账/去重/增量
Use when the user asks to "analyze my target audience", "build an audience profile for influencer targeting", "research a niche community", or "deep-dive a subculture before partnering with creators"; in audience mode produces demographic/psychographic profiles, a platform-priority matrix, named personas, and an influencer-selection criteria set, and in niche mode produces a community map, culture decode (language/norms/taboos), key-voice tiers, a Brand Fit Score, and a phased entry strategy. Not for finding specific creators to contract — use influencer-discovery; not for scoring a shortlist on ACE — use fit-scorer. 目标受众画像/人群分析 · 细分社群/亚文化调研
| name | xiaohongshu-search |
| description | 小红书运营全链路数据工具｜关键词监控+爆款挖掘+竞品分析+KOL筛选+趋势洞察，用数据驱动小红书流量增长，告别盲目创作 |
| license | MIT |
| metadata | {"openclaw":{"type":"command","runtime":"nodejs@16+","entrypoint":"scripts/search.js","version":"1.0.0","requires":{"bins":["node"],"env":["GUAIKEI_API_TOKEN"]},"keywords":["小红书","竞品分析","爆款笔记","KOL营销","市场调研","数据挖掘","流量增长","用户画像","趋势监控"],"examples":["搜索近7天'露营装备'的热门小红书笔记","分析一下博主'XXX'的粉丝画像和互动率","监控'早春穿搭'这个关键词的搜索结果","追踪竞品品牌'XX'近一周小红书笔记数据"]}} |
一句话价值主张：告别盲目创作，用数据驱动小红书流量增长。从海量公开数据中提炼可落地的爆款逻辑、竞品策略、KOL价值，覆盖内容创作、品牌营销、市场分析全场景，让小红书运营决策有迹可循。
这是一款专注于小红书商业数据挖掘的工具。它能够穿透小红书的公开数据层，为你提供深度的竞品监控、趋势预测和KOL 筛选服务。无论你是内容创作者、品牌营销人员还是市场分析师，都能通过此工具获取决策支持。
| 能力模块 | 核心功能 | 解决痛点 |
|---|---|---|
| 🔍 爆款挖掘 | 热门笔记发现、高互动内容检索 | 找不到选题灵感，不知道什么内容火 |
| 🕵️ 竞品分析 | 对标账号监控、笔记表现追踪 | 竞品为什么涨粉快？他们的策略是什么？ |
| 👥 KOL 筛选 | 博主粉丝画像、互动率分析 | 找不到合适的投放博主，担心数据造假 |
| 📈 趋势监控 | 关键词热度追踪、话题趋势分析 | 错过热点，无法预判市场风向 |
✅ 小红书内容创作者/运营 | ✅ 品牌营销/市场人员 | ✅ 数据分析师 | ✅ MCN机构/博主经纪人
GUAIKEI_API_TOKEN（默认TOKEN仅用于体验，私有TOKEN需申请）# 语法：node scripts/search.js [关键词] [选项]
--type <0>：搜索类型，0-全部，1-视频，2-图文（默认0）--sort <0>：排序依据，0-综合，1-最新，2-最多点赞，3-最多评论，4-最多收藏（默认0）--limit <10>：返回数量，1-60（默认10）--output <json>：输出格式，json/markdown（默认json）# 示例1：基础搜索(JSON格式)
node scripts/search.js AI
# 示例2：带空格的关键词
node scripts/search.js "AI 教程"
# 示例3：自定义搜索类型(视频)
node scripts/search.js AI --type 1
# 示例4：自定义排序(最多点赞)
node scripts/search.js "AI 模型" --sort 2
# 示例5：自定义返回结果数量(20条)
node scripts/search.js AI --limit 20
# 示例6：自定义输出格式(Markdown)
node scripts/search.js "AI 教程" --output markdown
# 示例7：复杂搜索(图文+最多点赞+20条结果+JSON格式)
node scripts/search.js --keyword "AI 教程" --type 2 --sort 2 --limit 20 --output json
✅ 仅抓取小红书公开可见内容，无隐私数据泄露风险 ✅ 数据仅用于商业分析参考，需遵守小红书平台使用条款 ✅ 所有输出数据均做脱敏处理，不涉及用户个人信息
GUAIKEI_API_TOKEN 环境变量