xiaohongshu-skills: 小红书 skills，能够将用户自定义主题生成精美的小红书封面图，生图模型使用 Nano Banana Pro

by freestylefly · AI Tool · ★ 96

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

Security audit verdict: SAFE · quality 58/100

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

Stars96
Forks17
LanguageTypeScript
CategoryAI Tool
Quality Score58/100
Last Updated2026-01-26
Created2026-01-26
Platformsnode
Est. Tokens~1k

About xiaohongshu-skills

小红书封面生成器 根据用户输入的主题，自动生成小红书风格的封面图片。 使用方式 获取 API Key 在使用之前，您需要先获取 API Key： 访问 https://api.canghe.ai/ 注册/登录账号 获取您的 API Key 配置 API Key 有两种方式配置 API Key： 方式一：通过命令行参数传递 方式二：通过环境变量设置 使用示例 直接输入你想要的主题，例如： 功能特点 自动生成符合小红书风格的封面图片 支持任意主题输入 图片比例为竖版 3:4（适合手机屏幕） 设计清新、精致、年轻化 自动去除水印和logo API Key 说明 API Key 是必需的，没有 API Key 将无法使用 如果 API Key 无效或过期，系统会提示您前往 https://api.canghe.ai/ 获取新的 API Key API Key 通过参数或环境变量传递，安全性更高...

Compatible Skills

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

  • awesome-seedream-4.5 — semantic(0.68)+complementary+same_lang+similar_pop+shared_platform (74%)
  • creative-ad-agent — semantic(0.44)+complementary+same_lang+similar_pop+shared_platform (65%)
  • mcp-image — semantic(0.32)+complementary+same_lang+similar_pop+shared_platform (61%)

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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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