by SpaceZephyr · Codex Skill · ★ 81
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/SpaceZephyr/space-multi-design-ppt.git ~/.codex/skills/space-multi-design-pptTaken from the project's README on GitHub. Check the security audit before running it.
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.
| Stars | 81 |
| Forks | 4 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 55/100 |
| Last Updated | 2026-07-07 |
| Created | 2026-07-06 |
| Platforms | codex, python |
| Est. Tokens | ~15k |
多风格品牌 PPT 生成器 space-multi-design-ppt.skill 「同一份内容，可以长成 62 种品牌气质的演示稿」 多风格品牌 PPT 生成器（Space Multi Design PPT）是一个品牌设计风格驱动的 AI 幻灯片生成 Skill。 它把一段文章、BP、周报、产品介绍或课程内容，转成带真实品牌设计语言的演示稿。你可以指定 Apple、Notion、Claude、Stripe、Linear、Tesla 等风格，也可以让它根据内容智能推荐 5 种匹配风格，并提供第 6 个「智能匹配」选项。 它不是让 AI 随机做一套“看起来还行”的 PPT。 它会先理解内容，再选择设计系统、输出格式和页面结构。核心依赖 brand-design-md 的 62 个真实品牌规范，以及 getdesign.md 的 DESIGN.md...
Looking for a space-multi-design-ppt alternative? If you're comparing space-multi-design-ppt with other codex skill tools, these 1 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A Codex/Claude skill that maintains per-repo operating theory documents.
Explore other popular codex skill tools:
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: