Oh My PPT is a local-first desktop application that uses AI to create, edit, present, and export editable HTML-based slide presentations. It is for people making presentations, lessons, stories, reports, or pitches who want to describe their content and then adjust the resulting pages, visuals, animations, and layouts.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add arcsin1/oh-my-ppt --skill sunset-warmgit clone --depth 1 https://github.com/arcsin1/oh-my-pptWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/arcsin1/oh-my-ppt/sunset-warm)<a href="https://agentmods.dev/skills/arcsin1/oh-my-ppt/sunset-warm"><img src="https://agentmods.dev/badge/skills/arcsin1/oh-my-ppt/sunset-warm.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00469 |
| Opus 5 | $0.00000 | $0.00234 |
| Sonnet 5 | $0.00000 | $0.00094 |
| Haiku 4.5 | $0.00000 | $0.00047 |
Grade A, and why
sunset-warm scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
日落暖是黄昏天际的视觉化——橘色、珊瑚、琥珀三种暖色从地平线铺到天顶，温度本身就是叙事。这个风格自带正向情绪，像一天中最美的那个小时，所有事情都被染上金色的温柔。不需要解释为什么温暖，你看到它就懂了。
配色
标题 #7c2d12 深焦糖、正文 #9a3412 焦橙，强调色 #f97316 亮橙与 #fbbf24 金黄是日落的两种光泽。背景 linear-gradient(135deg, #fed7aa 0%, #fdba74 45%, #fb923c 100%) 是从浅杏到深橘的三段渐变，如天际的色谱。卡片 rgba(255,255,255,0.88) 白底浮在暖色上，边框 rgba(251,146,60,0.3) 是橘色的柔和描边。
排版
友好的无衬线字体，字重中等偏轻。标题温暖但不沉重，正文轻松可读。字号层级分明但不过于正式。
布局
卡片在暖色渐变上自由排列，留白充足但不冷清。布局像一张明信片——内容不多，但每一帧都值得收藏。圆角和柔和的阴影保持温暖的触感。
动画
fade-up、stagger-list、shimmer-sweep
适合场景
生活方式分享、奖项颁发、团队庆祝、正向情绪叙事——需要让人觉得「一切都很美好」的场合。
配图
不支持配图。
不要
- 不要使用冷色调或暗色
- 不要用过于正式的排版
- 不要让暖色变成压迫感，保持轻盈
- 不要用深色背景破坏日落的氛围
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago Changed · +3 lines 7a93b53304e7
- 4d ago First seen · 23 lines · 0 tokens per session scan A da59774d8025
sunset-warm is a skill published in the GitHub repository arcsin1/oh-my-ppt (1,927 stars, last pushed 2d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 469 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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