xiaohongshu-content-creator: Skill for Xiaohongshu image-and-text creation

by NimaChu · Codex Skill · ★ 113

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

How to install xiaohongshu-content-creator

git clone https://github.com/NimaChu/xiaohongshu-content-creator.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 66/100

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.

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.

agent-workflowarticle-to-imageinfographic-generatorknowledge-cardslocal-image-generationopenclawsvg-rendererxiaohongshu

Quick Facts

Stars113
Forks3
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score66/100
Open Issues2
Last Updated2026-07-26
Created2026-03-29
Platformspython
Est. Tokens~14k

About xiaohongshu-content-creator

小红书图文创作 English 是一个跨 Agent 的小红书图文创作技能，不绑定特定编码助手或运行时。Claude Code、OpenCode、OpenClaw、Hermes、Codex，以及其他能够读取 并调用本地脚本或生图工具的 Agent 都可以使用。 技能负责： 调研与事实核验 小红书标题、正文和标签 用“认知锚点”筛选真正值得成页的内容 原创视觉隐喻、文案和分镜 3:4 封面与 9:16 内页 可选择的 IP 与视觉风格档案 让所选 IP 承担每页核心动作 无生图工具时的本地 SVG → PNG 降级 带明确修复动作的发布前 QA 自动选择执行路径 有生图工具 默认使用生图工具。每个项目先选择一个 ，每次生图只传入该档案的一张 ，不会同时传多个角色参考。先生成封面和一张代表性内页，确认角色、隐喻和风格后再生成整套。...

Compatible Skills

These tools work well together with xiaohongshu-content-creator for enhanced workflows:

  • z-image-studio — semantic(0.36)+complementary+same_lang+similar_pop+shared_platform (63%)
  • image-gen-mcp — semantic(0.35)+complementary+same_lang+similar_pop+shared_platform (62%)

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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:

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