XiaohongshuSkills: 支持小红书自动发布、自动评论、自动检索的 Skill。支持 OpenClaw、Codex、CC 等

by white0dew · Codex Skill · ★ 3.5k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 59/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars3,525
Forks345
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score59/100
Open Issues3
Last Updated2026-10-24
Created2026-02-09
Platformscodex, python
Est. Tokens~15k

About XiaohongshuSkills

RedBookSkills 自动发布内容到小红书（Xiaohongshu/RED）的命令行工具，也支持仅启动测试浏览器（不发布）。 通过 Chrome DevTools Protocol (CDP) 实现自动化发布，支持多账号管理、无头模式运行、自动搜索素材与内容数据抓取等功能。 功能特性 自动化发布：自动填写标题、正文、上传图片 话题标签自动写入：识别正文最后一行 ，然后逐渐写入 多账号支持：支持管理多个小红书账号，各账号 Cookie 隔离 无头模式：支持后台运行，无需显示浏览器窗口 远程 CDP 支持：可通过 / 连接远程 Chrome 调试端口 图片下载：支持从 URL 自动下载图片，自动添加 Referer 绕过防盗链 登录检测：自动检测登录状态，未登录时自动切换到有窗口模式扫码 登录状态缓存： 默认本地缓存 12 小时，减少重复跳转校验...

Compatible Skills

These tools work well together with XiaohongshuSkills for enhanced workflows:

  • claudekit-skills — semantic(0.39)+complementary+same_lang+similar_pop+shared_platform (59%)
  • Document-illustrator-skill — semantic(0.33)+complementary+same_lang+similar_pop+shared_platform (56%)
  • team-tasks — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • union-search-skill — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
  • chinese-novelist-skill — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)

XiaohongshuSkills alternative? Top 6 similar tools

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Codex Skill tools