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 academic-papergit 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/academic-paper)<a href="https://agentmods.dev/skills/arcsin1/oh-my-ppt/academic-paper"><img src="https://agentmods.dev/badge/skills/arcsin1/oh-my-ppt/academic-paper/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/arcsin1/oh-my-ppt/academic-paper"><img src="https://agentmods.dev/badge/skills/arcsin1/oh-my-ppt/academic-paper.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00451 |
| Opus 5.5 | $0.00000 | $0.00180 |
| Sonnet 5.5 | $0.00000 | $0.00090 |
| Haiku 4.5 | $0.00000 | $0.00045 |
Grade A, and why
academic-paper 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 1mo 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
学术论文风格是知识的庄重仪式——论文白的底色上，黑墨落笔沉稳，蓝色链接指向每一份引用。这不是随意的信息堆砌，这是经过同行评审的严谨叙事。每一个论点都有数据支撑，每一张图表都有坐标轴和图注。学术的严谨本身自带说服力。
配色
标题 #171717 墨黑、正文 #404040 深灰，强调色 #2563eb 蓝与 #3b82f6 浅蓝是学术链接的标准色。背景 linear-gradient(145deg, #fafafa 0%, #f5f5f5 55%, #e5e5e5 100%) 是从论文白到浅灰的渐变，如打印纸。卡片 rgba(255,255,255,0.95) 白底，边框 rgba(0,0,0,0.1) 是极淡的黑色描边。
排版
衬线正文 + 无衬线标题，经典学术论文的字体搭配。正文行距宽松，段落分明。脚注和引用用更小的字号。图表标题和图注用斜体。
布局
单栏或双栏的学术论文排版。标题居中，作者信息在标题下方，摘要区用卡片区分。图表和公式是视觉的核心元素，编号清晰。
动画
fade-up、stagger-list、path-draw
适合场景
学术报告、研究分享、会议论文展示、博士答辩——需要传递「每一句话都有出处」的场合。
配图
不支持配图。
不要
- 不要使用非正式或彩色
- 不要用装饰性字体或花哨排版
- 不要省略图表的标注和引用
- 不要让严谨变成枯燥，保持学术的优雅
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.
- 1mo ago Changed · +3 lines 791bed662dea
- 1mo ago First seen · 23 lines · 0 tokens per session scan A 9a2c91b8f26a
academic-paper is a skill published in the GitHub repository arcsin1/oh-my-ppt (2,232 stars, last pushed 5d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 451 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 2026-08-30.
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