guizang-yingzao-skill: Claude Code / Codex skill — transform Chinese architecture, cultural places & travel photos into art-directed

by op7418 · Claude Skill · ★ 526

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

How to install guizang-yingzao-skill

npx skills add https://github.com/op7418/guizang-yingzao-skill --skill yingzao

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 61/100

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-skillai-agentanthropicchinese-architecturechinese-cultureclaude-codeclaude-skillcodexcultural-heritageeditorial-design

Quick Facts

Stars526
Forks44
LanguagePython
CategoryClaude Skill
Quality Score61/100
Open Issues1
Last Updated2026-09-03
Created2026-09-02
Platformsclaude-code, codex, python
Est. Tokens~14k

About guizang-yingzao-skill

Yingzao · 营造 把你拍下的建筑、街巷、店铺、器物与地方食物,转成真正经过艺术指导的编辑海报——不是给照片套滤镜,也不是把标题贴在空白处。 Yingzao 会先读照片的构图与身份,再选择一张兼容的主导参考,设计中文展示字与图文空间关系,最后把原图、参考与稀疏排版垫图一起交给图像模型完成整体重绘。主体处理、主动色场、地域材质和文字遮挡发生在同一个视觉世界里。 30 秒开始 安装后,在支持 Skills 与图像生成的 Agent 中直接说: 也可以把下面这段话发给你的 Agent,让它自行完成安装: 它会做什么 识别照片是正立面、仰视、对角、框景、局部构件还是环境叙事,并只修复一个真正影响画面的构图问题。 保护屋坡、飞檐、匾额、轮廓、不对称等身份锚点,不把真实建筑“优化”成另一栋楼。 在看参考图之前先提出主体、背景、图文互动与排版动作四域命题,避免参考越多、结果越平庸。 从内置...

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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 Claude Skill tools