No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by op7418 · Codex Skill · ★ 1.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is guizang-material-illustration safe to install? View the security audit →
歸藏的材质插画 skill 一个适配 Claude Code / Codex 等 Agent 环境的配图 Skill,用来把文章、笔记、图表截图、产品概念、工作汇报、教学材料和人文观点,生成带中文标签的歸藏材质插画。 它解决的是「中间那张图」的问题:社交卡片、PPT、文章和文档里经常需要一张能把意思讲清楚的中心配图,而不是一张漂亮但看不懂的装饰图。 这个 Skill 专注做三件事: 解释图:把抽象概念、流程、机制、系统关系画成带标签的图。 图表美化:从截图或原始数据里抽取语义,重新生成更适合传播的材质化图表。 参考辅助出图:遇到冷门概念、品牌、模型、科学装置、历史物件时,先查参考信息和参考图,再统一转成歸藏材质风格。 这是 guizang-social-card-skill 的配套项目。Social Card Skill 负责整张卡片的标题、正文、主题色和尺寸;这个 Skill 负责卡片里的中心插画。 30 秒开始 也可以直接把这段话发给有 shell 权限的 AI Agent: text 帮我安装 guizang-material-illustration。请把 https://github.com/op7418/guizang-material-illustration 克隆到 /.claude/skills/guizang-material-illustration
| Stars | 1,160 |
| Forks | 114 |
| Category | Codex Skill |
| Quality Score | 58.9444151051133/100 |
| Open Issues | 4 |
| Last Updated | 2026-07-07 |
| Created | 2026-07-07 |
| Platforms | claude-code, codex |
| Est. Tokens | ~5k |
Looking for a guizang-material-illustration alternative? If you're comparing guizang-material-illustration with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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guizang-material-illustration is 归藏的材质插画 skill:生成带字解释图、图表美化和参考辅助配图。. It is categorized as a Codex Skill with 1.2k GitHub stars.
You can find installation instructions and usage details in the guizang-material-illustration GitHub repository at github.com/op7418/guizang-material-illustration. The project has 1.2k stars and 114 forks, indicating an active community.
The top alternatives to guizang-material-illustration on Agent Skills Hub include chinese-novelist-skill, social-push, illo-skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: