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xiaohongshu-image-auto小红书图像自动

Agent Skill

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。它适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。使用时需要确认输入图片、版权来源、输出格式和模型限制;涉及人物、品牌、商品或公开展示素材时,应额外核对授权、真实性和内容合规边界。

总安装

13,703

周安装

549

GitHub Stars

公开资料未说明

下载量

4,436
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:xiaohongshu-image-auto(小红书图像自动)
来源仓库:https://github.com/openlark/xiaohongshu-image-auto
安装命令:
openclaw skills install xiaohongshu-image-auto
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install xiaohongshu-image-auto

简介

小红书自动发布图文。提供用户标题、正文后,自动完成登录检测、AI生成配图、内容填充、AI生成标签、标签激活、原创声明、执行发布的全流程。只需扫码登录需人工操作,其余步骤全自动化。使用场景:用户已有笔记内容需要发布到小红书。

SKILL.md

name
xiaohongshu-image-auto
description
After users provide a title and body text, automatically completes the entire process: login detection, AI-generated images, content filling, AI-generated tags, tag activation, original content declaration, and publishing.

Xiaohongshu Automatic Image-Text Post Publishing

Feature Overview

After users provide a title and body text, automatically completes the entire process: login detection, AI-generated images, content filling, AI-generated tags, tag activation, original content declaration, and publishing. Only QR code login requires manual operation; all other steps are fully automated.

Trigger Conditions

Trigger this skill when the user mentions any of the following keywords:

  • Xiaohongshu image-text post publishing
  • Publish Xiaohongshu image-text post
  • Automatically publish Xiaohongshu image-text post
  • Xiaohongshu image-text notes
  • 小红书图文发布
  • 发布小红书图文
  • 自动发小红书图文
  • 小红书图文笔记

Use Cases

  • Users have existing note content ready to publish on Xiaohongshu.

Workflow

You provide content → Launch browser → Check login → AI generate images → Auto-fill → AI generate tags → Activate tags → Declare original → Publish note
            ↑
    Only QR code login requires manual operation

Prerequisites

Browser Environment

  • Start the browser using host mode
  • Open the Xiaohongshu Creator Platform: https://creator.xiaohongshu.com/publish/publish

Account Login

  • Only manual QR code login is required
  • Automatically pauses and prompts when not logged in is detected
  • Automatically continues execution after successful login

Automated Execution Steps

1. Launch Browser and Check Login Status

browser start profile=openclaw target=host
browser navigate https://creator.xiaohongshu.com/publish/publish
browser snapshot refs=aria

Login Detection Logic:

  • Check if the page contains a login form
  • If not logged in, take a screenshot and prompt the user to scan the QR code
  • Poll every 15 seconds automatically; continue after login

2. Switch to Image-Text Publishing Mode

browser act ref=<Upload Image-Text Button> kind=click

3. AI Automatically Generates Images

# Click the "Text to Image" button
browser act ref=<Text to Image Button> kind=click

# Enter image description
browser act ref=<Text Box> kind=type text="<User Title>"

# Generate image and select style (default "Basic")
browser act ref=<Generate Button> kind=click
browser act ref=<Style Button> kind=click
browser act ref=<Next Button> kind=click

4. Automatically Fill Title and Body Text

browser act ref=<Title Input Field> kind=type text="<User Title>"
browser act ref=<Body Input Field> kind=type text="<User Body Text>"

Character Count Check:

  • Title exceeds 20 characters → Automatically truncate and prompt
  • Body text exceeds 1000 characters → Automatically truncate and prompt

5. AI Generate Tags (if user does not provide)

# Analyze title and body text, generate 5-10 relevant tags
# Tag types: Core topics, Scene tags, Emotion tags

Generation Rules:

  • Extract core keywords from the title
  • Extract high-frequency words from the body text
  • Supplement with popular related tags

6. Activate Topic Tags

Key Rule: Must click the first item in the pop-up recommendation list for the tag to become a searchable link

# Execute the following process for each tag
for each tag in tag list:
    # Step 1: Click the topic button to open the input field
    browser act ref=<Topic Button> kind=click
    
    # Step 2: Enter the tag name (including # symbol)
    browser act ref=<Topic Input Field> kind=type text="#tagname"
    
    # Step 3: Wait for the recommendation pop-up to appear (approx. 1 second)
    browser snapshot refs=aria
    
    # Step 4: Click the first item in the recommendation list (must!)
    browser act ref=<First Item in Recommendation List> kind=click
    
    # Step 5: Confirm the tag is activated (displayed as a blue link)
    # Continue to the next tag

Activation Success Indicator:

  • Tag becomes a clickable blue link
  • Format: [Topic]#tagname

Important Notes:

  • ⚠️ Must click the recommendation pop-up; direct input is invalid
  • ⚠️ Must click the first item to ensure tag standardization
  • ⚠️ Each tag needs to be activated individually

7. Check Original Content Declaration

browser act ref=<Original Declaration Checkbox> kind=click
browser act ref=<Agree Checkbox> kind=click
browser act ref=<Declare Original Button> kind=click

8. Execute Publishing

browser act ref=<Publish Button> kind=click
browser snapshot refs=aria

Publishing Success Indicator: Page displays "Published Successfully" or redirects to the "Note Management" page

Exception Handling

IssueHandling Method
Login timeoutTake screenshot, poll automatically to detect login status
Title too longAutomatically truncate to 20 characters, prompt user to confirm
Publishing failedTake screenshot record, prompt user to retry or escalate to manual

Key Considerations

Account Security

  • Only QR code login requires manual operation
  • Recommended publishing interval ≥ 30 minutes
  • Automatically check content compliance before publishing

Content Compliance

  • Title ≤ 20 characters, Body text ≤ 1000 characters
  • Avoid absolute terms, medical efficacy claims, price inducement language

Recommended Publishing Frequency

  • New accounts: Daily or every other day
  • Established accounts: Adjust based on follower activity times

Quick Command Reference

browser navigate <URL>        # Open a page
browser snapshot refs=aria     # Get page elements
browser act ref=<Element> kind=click  # Click an element
browser act ref=<Element> kind=type text="Content"  # Input text
browser screenshot             # Take a screenshot

Example

使用 xiaohongshu-image-auto 技能。汇总今日国内AI领域重要发布。

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

77.06%
按下载量换算3,418

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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