academic-navy

academic-navy is a skill for Claude Code, Codex from arcsin1/oh-my-ppt. It costs 0 tokens per session (439 once invoked), scanned A, original, Apache-2.0.

A visual design guide for formal research presentations with dark blue structure, restrained gold accents, evidence chains, and clear academic sections. It recommends layouts, typography, icons, and restrained animation without decorative illustrations.

In plain words
What is it for?
It is for thesis defences, research proposals, scientific project reports, and other structured academic presentations.
Why use it?
It helps academic content stay organised and readable while keeping decoration from distracting from evidence and reasoning.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for thesis defences, research proposals, scientific project reports, and other structured academic presentations.

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Install with agentmods
npx agentmods add skills/arcsin1/oh-my-ppt/academic-navy
About the project

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.

arcsin1/oh-my-ppt · 1,943 stars · on GitHub · ohmyppt.cc

Install

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.

Any agent
npx skills add arcsin1/oh-my-ppt --skill academic-navy
Clone the repo
git clone --depth 1 https://github.com/arcsin1/oh-my-ppt

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for academic-navy

README.md
[![agentmods](https://agentmods.dev/badge/skills/arcsin1/oh-my-ppt/academic-navy/github.svg)](https://agentmods.dev/skills/arcsin1/oh-my-ppt/academic-navy)
Your own site
<a href="https://agentmods.dev/skills/arcsin1/oh-my-ppt/academic-navy"><img src="https://agentmods.dev/badge/skills/arcsin1/oh-my-ppt/academic-navy/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.

agentmods 80×15 button for academic-navy

Your own site · 80×15
<a href="https://agentmods.dev/skills/arcsin1/oh-my-ppt/academic-navy"><img src="https://agentmods.dev/badge/skills/arcsin1/oh-my-ppt/academic-navy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 439 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00439
Opus 5 $0.00000 $0.00219
Sonnet 5 $0.00000 $0.00088
Haiku 4.5 $0.00000 $0.00044

Measured 5d ago against content hash f9938239058a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

academic-navy 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 5d 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.

resources/styles/academic-navy/SKILL.md · 36 lines

What it actually says

藏青学衡以深蓝、低调金棕和规整模块建立正式的研究答辩氛围。它的核心是证据、论证和严谨层级,不让装饰抢走学术内容。

配色

主色使用 #112D5C、#173C7A、#1F4F97;浅背景为 #F3F5F8。金棕 #7C4E2C、#A78D5B、#D4BA54 只用于关键数字、图标与少量标签。正文使用 #404040、#808080,深色面板使用 #FFFFFF。

排版

中文使用 PingFang SC,西文和数字使用 SF Pro Text。标题 38-40px,章节数字 60-96px;正文保持 18-23px 的可读尺寸。一个页面最多用一种标题强调方式。

布局

使用左右分区、四宫格、编号环形列表和论文式证据链。标题固定左上,数字或线性图标引导区块。信息密度可以中等,但每个模块都要有真实留白和明确的数据层级。

插画与装饰

使用规整的圆形、六边形、菱形、盾形与低调线性图标。装饰只承担分组和导向作用,不引入具象场景。

动画

使用 0.4-0.8s 的 ease-out 淡入或轻微上移;数字和图标可短暂缩放强调。避免任何夸张跳跃。

适合场景

毕业论文答辩、开题报告、科研课题汇报、学术项目结题。

配图

不支持配图。

不要

  • 不要使用糖果色、手绘、卡通或大面积装饰。
  • 不要滥用金色。
  • 不要使用杂乱的多字体混排。
Files

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.

Changes

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.

  1. 5d ago First seen · 36 lines · 0 tokens per session scan A f9938239058a

Subscribe to this mod's changes

academic-navy is a skill published in the GitHub repository arcsin1/oh-my-ppt (1,943 stars, last pushed 5d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 439 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 2026-09-05.

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