What makes 小红书搜索雷达 notable?

1.1K downloads. Trust evidence available

How should 小红书搜索雷达 be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

小红书搜索雷达

小红书搜索雷达｜无需登录小红书账号，支持关键词搜索/爆款笔记挖掘/竞品分析/KOL筛选/趋势洞察，适配营销报告/内容策划场景 Skill: 小红书搜索雷达 Owner: um-why Summary: 小红书搜索雷达｜无需登录小红书账号，支持关键词搜索/爆款笔记挖掘/竞品分析/KOL筛选/趋势洞察，适配营销报告/内容策划场景 Tags: content-analysis:1.0.1, latest:1.0.1, search:1.0.1, xiaohognshu:1.0.1 Version history: v1.0.1 | 2026-05-16T13:40:25.659Z | user - 更新 skill 版本号至 1.0.1 - 无功能或文档内容变更，仅元数据中的版本号更新 - 文件内容未调整，功能保持一致 v1.0.0 | 2026-05-16T13:19:12.000Z | user xiaohongshu-radar v1.0.0 — Initial release - Enables keyword search, trending no

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.1k

Updated

Oct 11, 2026

Version

1.0.1

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1.1K downloadsadoption · observed Oct 11, 2026
Latest release: 1.0.1release · observed May 16, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17dekqcarz582t04nvd15aj1183gf0v:xiaohongshu-radar

Node.js workspace detected. Install dependencies securely: run `npm ci --ignore-scripts` to prevent post-install lifecycle triggers from running arbitrary code, then selectively audit the dependency tree.
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-um-why-xiaohongshu-radar/snapshot"

Documentation

CLAWHUB

13,778 characters of source documentation, loaded on request.

Extracted files

4 files captured from the source.

SKILL.md

---
name: xiaohongshu-radar
description: 小红书搜索雷达｜无需登录小红书账号，支持关键词搜索/爆款笔记挖掘/竞品分析/KOL筛选/趋势洞察，适配营销报告/内容策划场景
license: MIT
metadata:
  openclaw:
    type: command
    runtime: "[email protected]+"
    version: "1.0.1"
    requires:
      bins: ["node"]
      env: ["GUAIKEI_API_TOKEN"]
    env_desc:
      GUAIKEI_API_TOKEN: "小红书搜索API访问令牌；私有TOKEN可通过wx 13395823479 申请"
    category:
      - "Data&APIs"
      - "数据分析"
    tags:
      - "xiaohongshu"
      - "search"
      - "小红书搜索"
      - "小红书运营"
      - "小红书竞品分析"
      - "内容营销"
      - "content-analysis"
      - "数据挖掘"
      - "小红书关键词搜索"
      - "小红书笔记详情查询"
      - "小红书数据采集"
      - "workflow"
      - "insight"
      - "automation"
    examples:
      - "搜索'露营装备'的热门小红书笔记: node src/xiaohongshu/search-cli.js 露营装备 --type 1 --sort 2 --limit 10"
      - "分析这篇笔记的评论区情绪: node src/xiaohongshu/detail-cli.js 'https://www.xiaohongshu.com/explore/xxx?xsec_token=yyy'"
      - "监控'早春穿搭'关键词(最新排序+图文类型): node src/xiaohongshu/search-cli.js --keyword '早春穿搭' --type 2 --sort 1"
---

# 📕 小红书搜索雷达

> **💡一句话价值**：一键搜索小红书笔记、互动数据，帮你做爆款选题、竞品分析。
>
> **🔥核心优势**
>
> - 轻量: 无需部署服务，Node.js 一键运行
> - 灵活: 支持多维度筛选、批量操作、多格式导出
> - 实用: 日志自动归档，适配营销报告 / 内容策划场景
> - 安全: 无需登录你的小红书账号，不担心风控风险 / 封号问题

## 1. ✅ 我能帮你解决什么（10 秒判断）

- 🔍 按关键词搜小红书笔记（最新/最多点赞/最多评论/最多收藏排序）：找爆款选题、分析高赞笔记规律
- 🦸 竞品监控：批量抓取对标账号所有公开作品数据，分析内容策略
- 📡 热点追流：实时获取小红书热搜，抢占流量风口
- 📊 数据导出：自动生成JSON日志，方便二次使用

## 2. 🚀 最快上手（复制就能跑，30 秒出结果）

> Note: 请先通过微信 <13395823479> 申请 API TOKEN，配置环境变量 GUAIKEI_API_TOKEN 后才能正常运行。

### 2.1 🔎 小红书关键词搜索（最简单）

```bash
node src/xiaohongshu/search-cli.js 数据分析
```

### 2.2 🔎 按点赞排序找爆款（最常用）

```bash
node src/xiaohongshu/search-cli.js --keyword "AI" --sort 2
```

### 2.3 🔎 按最新排序找风口（最常用）

```bash
node src/xiaohongshu/search-cli.js --keyword "AI" --sort 1
```

### 2.4 📕 小红书笔记详情查询（内容分析）

```bash
node src/xiaohongshu/detail-cli.js "https://www.xiaohongshu.com/explore/xxx?xsec_token=yyy"
```

## 3. 📌 适用场景（我该不该用？）

- 你需要做小红书笔记选题 → 关键词搜索 + 点赞排序
- 你需要模仿爆款文案 → 查看高赞笔记详情
- 你需要做营销报告 → 导出结构化数据

## 4. 🔧 参数详解表

### 🔎 小红书关键词搜索

| 参数        | 缩写 | 作用       | 可选值                                                           | 必填 |
| :---------- | :--: | :--------- | :--------------------------------------------------------------- | :--: |
| `--keyword` | `-k` | 搜索关键词 | 2-50 个汉字                                                      |  是  |
| `--type`    | `-t` | 内容类型   | 0 = 全部 / 1 = 视频 / 2 = 图文                                   |  否  |
| `--sort`    | `-s` | 排序方式   | 0 = 综合 / 1 = 最新 / 2 = 最多点赞 / 3 = 最多评论 / 4 = 最多收藏 |  否  |
| `--limit`   | `-l` | 搜索数量   | 1-60 条                                                          |  否  |
| `--output`  | `-o` | 输出格式   | json / markdown                                                  |  否  |

### 📕 小红书笔记详情获取

| 参数      | 缩写 | 类型    | 说明                     |
| :-------- | :--- | :------ | :----------------------- |
| `--url`   | `-u` | 字符串  | 必填，笔记链接

_meta.json

{
  "ownerId": "kn79p9y6xrdxyr0maxy3tj5nb9835e0e",
  "slug": "xiaohongshu-radar",
  "version": "1.0.1",
  "publishedAt": 1778938825659
}

skill-card.md

## Description:

小红书搜索雷达 helps agents search Xiaohongshu notes by keyword, retrieve note details and comments, and produce structured outputs for trend analysis, competitor research, KOL screening, and content planning.

This skill is ready for commercial/non-commercial use.

## Publisher:

[um-why](https://clawhub.ai/user/um-why)

### License/Terms of Use:

MIT-0

## Use Case:

External users, marketers, content strategists, and data analysts use this skill to collect public Xiaohongshu search results and note details for content planning, competitive analysis, trend monitoring, and marketing reports.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill sends GUAIKEI_API_TOKEN, Xiaohongshu search terms, and note URLs to the guaikei.com API provider.

Mitigation: Install only if you trust the API provider and are comfortable sharing those inputs with it.

Risk: Generated logs may contain xsec_token-bearing Xiaohongshu links and collected result data.

Mitigation: Treat logs as sensitive, restrict access to them, and delete them when they are no longer needed.

Risk: The security guidance identifies token placement in query strings, URL parsing, and default log persistence as areas needing improvement.

Mitigation: Publisher should move API tokens out of query strings, strengthen URL parsing, redact sensitive URL parameters, and make log persistence opt-in or configurable.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/um-why/skills/xiaohongshu-radar)
- [Publisher profile](https://clawhub.ai/user/um-why)

## Skill Output:

**Output Type(s):** [text, markdown, shell commands, configuration, guidance]

**Output Format:** [JSON or Markdown returned on stdout, with JSON logs written to the skill logs directory]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Search accepts keyword, content type, sort, limit, and output format options; detail lookup accepts a Xiaohongshu note URL.]

## Skill Version(s):

1.0.1 (source: server release evidence, SKILL.md frontmatter metadata, and package.json)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

package.json

{
  "name": "xiaohongshu-radar",
  "version": "1.0.1",
  "description": "小红书搜索雷达｜无需登录小红书账号，支持关键词搜索/爆款笔记挖掘/竞品分析/KOL筛选/趋势洞察，适配营销报告/内容策划场景",
  "keywords": [
    "小红书搜索",
    "小红书运营",
    "小红书竞品分析",
    "内容营销",
    "数据挖掘",
    "小红书数据采集"
  ],
  "homepage": "https://github.com/um-why/xiaohongshu-openclaw-skill#readme",
  "bugs": {
    "url": "https://github.com/um-why/xiaohongshu-openclaw-skill/issues"
  },
  "repository": {
    "type": "git",
    "url": "git+https://github.com/um-why/xiaohongshu-openclaw-skill.git"
  },
  "license": "MIT",
  "author": "um-why",
  "main": "src/xiaohongshu/search-cli.js",
  "scripts": {
    "search": "node src/xiaohongshu/search-cli.js",
    "detail": "node src/xiaohongshu/detail-cli.js"
  }
}

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