huashu-skills: 花叔全部开源 Agent Skills 总目录：16 旗舰 + 14 人物视角 + 22 内置共 52 个 skill

by alchaincyf · Claude Skill · ★ 1.9k

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

Security audit verdict: SAFE · quality 60/100

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.

agent-skillsai-agentsclaudeclaude-codeskills

Quick Facts

Stars1,931
Forks280
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score60/100
Open Issues5
Last Updated2026-10-19
Created2026-01-24
Platformsclaude-code, python
Est. Tokens~14k

About huashu-skills

huashu-skills 动画由 huashu-design skill 制作 花叔的 Claude Code Skills 合集。21个经过实战验证的内容创作技能，覆盖从选题到发布的完整工作流。 花叔 | AI Native Coder · 独立开发者 · 30万+粉丝 代表作：小猫补光灯（AppStore付费榜Top1）·《一本书玩转DeepSeek》 安装 在 Claude Code 中运行： 例如： Skills 一览 端到端工作流 这些skill覆盖从输入到成品的完整链路，一个skill解决一整类问题。 huashu-slides — AI演示文稿 从一句话描述到可用的PPTX文件。5个阶段：内容结构化 → 设计系统选择 → AI插画生成 → 幻灯片组装 → 细节打磨。 18种经验证的设计风格预设（浮世绘、包豪斯、Snoopy、像素画等） 三种协作模式：全自动 / 引导式 /...

Compatible Skills

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

  • agent-skills-with-anthropic — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (51%)
  • paperasse — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)
  • claude-code-from-scratch — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)
  • openclaw-config — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)
  • Multi-LLM-Agent — semantic(0.49)+same_lang+similar_pop+shared_platform (47%)

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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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