What makes Xiaohongshu notable?

1.9K downloads. Trust evidence available

How should Xiaohongshu 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

Xiaohongshu

小红书笔记创作与运营方法论（附发布前合规自查工具）。Use for: (1) 按平台双引擎逻辑（搜索+推荐）写笔记——标题/封面/正文结构/标签, (2) 用附带的零依赖脚本做发布前自查（绝对化用语/医疗断言/引流特征）, (3) 诊断笔记数据定位问题环节。Xiaohongshu (RED) note-writi... Skill: Xiaohongshu Owner: zhangifonly Summary: 小红书笔记创作与运营方法论（附发布前合规自查工具）。Use for: (1) 按平台双引擎逻辑（搜索+推荐）写笔记——标题/封面/正文结构/标签, (2) 用附带的零依赖脚本做发布前自查（绝对化用语/医疗断言/引流特征）, (3) 诊断笔记数据定位问题环节。Xiaohongshu (RED) note-writi... Tags: latest:2.0.0 Version history: v2.0.0 | 2026-07-17T15:36:43.670Z | user Upgrade to tool-type: add zero-dependency tested script (pre-publish compliance checker) v1.0.0 | 2026-07-11T13:44:59.914Z | user Initi

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.9k

Updated

Oct 9, 2026

Version

2.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.9K downloads reported by the source. Last updated 10/9/2026.

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 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 1.9K downloadsadoption · observed Oct 9, 2026
Latest release: 2.0.0release · observed Jul 17, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s177g1r0fwwn78mtc60nke0fas8841hj:xiaohongshu

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-zhangifonly-xiaohongshu/snapshot"

Documentation

CLAWHUB

10,243 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: "小红书"
version: "2.0.0"
description: "小红书笔记创作与运营方法论（附发布前合规自查工具）。Use for: (1) 按平台双引擎逻辑（搜索+推荐）写笔记——标题/封面/正文结构/标签, (2) 用附带的零依赖脚本做发布前自查（绝对化用语/医疗断言/引流特征）, (3) 诊断笔记数据定位问题环节。Xiaohongshu (RED) note-writing methodology with a zero-dependency pre-publish compliance checker: dual-engine content strategy, data diagnostics, and guardrails."
tags: ["xiaohongshu", "rednote", "content", "seeding", "operation"]
author: "ClawSkills Team"
category: "social"
---

# 小红书笔记创作与运营 Skill

小红书的本质是**生活方式搜索引擎 + 种草社区**：一半流量来自推荐信息流，
另一半来自站内搜索——这是它和抖音最大的不同，也是普通人做小红书的
最大机会：**内容有长尾**，一篇笔记可以被搜索持续带流量数月。

## 平台双引擎逻辑（一切方法的地基）

1. **推荐引擎**：新笔记先进小流量池，按互动率（点赞/收藏/评论/关注/
   停留）决定是否推入更大池子，逐级赛马
2. **搜索引擎**：用户搜"XX 怎么选""XX 攻略"，笔记靠**标题与正文的
   关键词覆盖**排序。搜索流量转化意图强，是种草变现的主力
3. 结论：**标题为搜索写，封面为推荐写**——标题埋用户会搜的词，
   封面抢信息流里的 0.5 秒注意力

## 笔记创作方法

### 标题（20 字内，必埋搜索词）

- 公式：**人群/场景 + 关键词 + 结果/情绪**。
  例："小个子|通勤穿搭|一周不重样"、"新手养猫|第一个月|避坑清单"
- 自查：把自己当用户，这个标题里有没有你会在搜索框里打的词？
- 不要标题党：小红书用户对"惊了""绝了"已免疫，具体数字和场景
  比感叹词有效

### 封面（信息流里的 0.5 秒）

- 三种可靠形态：**对比图**（前后/好坏）、**清单图**（大字列要点）、
  **场景实拍+大字标题**
- 图上文字 ≤ 12 字，手机缩略图下要能看清
- 首图决定点击，2-9 图承载内容——教程类把步骤拆进图里，
  用户为"收藏价值"点收藏

### 正文结构（种草文骨架）

```
钩子（前两行，折叠线之上）：痛点场景 or 结果前置
↓
个人经历锚点（为什么信我：真实使用/踩坑经历）
↓
干货主体（清单化，每点一行小标题+两三句展开）
↓
行动引导（收藏理由 / 评论区提问引导互动）
```

- **真实锚点是关键**：具体价格、具体时长、具体失败经历。
  通篇"绝绝子"没有细节的笔记，用户和算法都不买账
- 表情符号做视觉分段（每段开头一个），不要堆砌

### 标签

- 5-10 个：大词（穿搭）+ 精准词（小个子穿搭）+ 长尾词（158 小个子
  冬季通勤穿搭）三层覆盖，长尾词才是搜索排名的突破口

## 数据诊断（按漏斗定位问题环节）

| 症状 | 问题环节 | 对策 |
|------|----------|------|
| 曝光低（小眼睛少） | 没进流量池：标签/关键词覆盖差，或账号权重低 | 检查标题搜索词；排查是否触发限流（见合规） |
| 曝光高点击低 | 封面/标题不行 | 换封面形态重发验证 |
| 点击高互动低 | 正文没价值或钩子后露馅 | 加真实锚点、清单化重构 |
| 赞多收藏少 | 情绪共鸣有、留存价值无 | 往"可执行清单"方向改 |
| 收藏多不涨粉 | 单篇有用但账号无预期 | 做系列选题，主页统一定位 |

## 合规红线（限流/封号高发区）

- **站外引流是最高压线**：简介/评论/私信留微信号变体（V、薇、➕）
  都会被识别，轻则限流重则封号。要私域用平台允许的企业号工具
- **软广判定**：疑似接单推广但未通过官方"蒲公英"报备，会被限流。
  接商单走报备是唯一稳妥路径
- **违禁词**：医疗功效断言（祛痘/美白/治疗）、绝对化用语（第一/最）、
  P2P/加密货币类金融内容高危。发布前用平台自带的体检中心自查
- 搬运/洗稿会被原创保护机制打击，二创必须有实质增量

### 发布前自查工具（本 skill 附带）

`scripts/content_check.py`（零依赖，纯本地规则检测，不联网）：

```bash
python3 scripts/content_check.py 笔记文案.txt
echo "文案内容" | python3 scripts/content_check.py -
# ❌ 高危（绝对化用语/医疗断言/引流特征）→ 退出码 2
# ⚠️ 警告（正文过短/感叹号堆砌）→ 退出码 1
```

agent 替用户写完笔记后**必跑一遍**再交付；规则库覆盖常见红线
但非完备，平台最终判定以官方体检中心为准。

## Agent 典型用法

1. **写笔记**：给主题+人群 → 按上述骨架产出标题（含搜索词）+
   封面文案 + 正文 + 三层标签，并跑一遍合规自查
2. **诊断**：用户报笔记数据 → 按漏斗表定位环节，给一条可执行改法
3. **选题**：给定领域 → 生成"大词+长尾词"选题矩阵，优先做搜索
   竞争小、意图强的长尾题
4. **账号定位**：领域+人设+内容系列规划，保证主页"三秒看懂你是谁"

## 本 skill 不做什么

- 不提供爬取小红书数据、批量注册、刷量养号的方法（黑产高危）
- 算法权重细节属平台机密且随时调整，本文只保证"漏斗逻辑"层面
  长期有效，具体数值以官方创作者中心为准
- 商单报价因粉丝量/领域差异大，以蒲公英平台实时行情为准

_meta.json

{
  "ownerId": "kn79dwmgjye1jyn329jdsp60yx817c3q",
  "slug": "xiaohongshu",
  "version": "2.0.0",
  "publishedAt": 1784302603670
}

skill-card.md

## Description:

Xiaohongshu helps agents draft RED notes, plan titles, covers, body structure, tags, and content diagnostics, with a local pre-publish compliance checker for common platform red flags.

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

## Publisher:

[zhangifonly](https://clawhub.ai/user/zhangifonly)

### License/Terms of Use:

MIT-0

## Use Case:

Content creators, marketers, and agent users use this skill to produce Xiaohongshu note titles, cover copy, structured drafts, tag sets, topic matrices, and performance diagnostics. The included local checker supports pre-publication review for common absolute-claim, medical-claim, and off-platform contact risks.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Generated marketing claims or platform advice may be inaccurate, overbroad, or unsuitable for a specific product category.

Mitigation: Review drafted claims before publication, especially medical, efficacy, financial, and promotional language.

Risk: The local compliance checker is a limited heuristic and does not guarantee platform approval or legal compliance.

Mitigation: Use checker warnings as a screening step, then verify final content with official platform review tools and human judgment.

Risk: Xiaohongshu policies, commercial tooling, and ranking behavior can change over time.

Mitigation: Confirm current platform rules and commercial workflows before relying on operational recommendations.

## Reference(s):

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

## Skill Output:

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

**Output Format:** [Markdown with optional shell command examples]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May include Xiaohongshu titles, cover copy, note drafts, tag recommendations, diagnostic guidance, and local checker results.]

## Skill Version(s):

2.0.0 (source: frontmatter and release evidence)

## 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.

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