arctic-cool

arctic-cool is a skill for Claude Code, Codex from arcsin1/oh-my-ppt. It costs 0 tokens per session (458 once invoked), scanned A, original, Apache-2.0.

A visual style guide for presenting data and analysis with a cool, ice-blue look.

In plain words
What is it for?
Create business reports, financial displays, quarterly presentations, or market research interfaces with a restrained blue visual style.
Why use it?
It provides consistent choices for colors, typography, layout, and animation when designing analytical pages.

Skill for Claude CodeCodex

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

Good fit Create business reports, financial displays, quarterly presentations, or market research interfaces with a restrained blue visual style.

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Install with agentmods
npx agentmods add skills/arcsin1/oh-my-ppt/arctic-cool
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 arctic-cool
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 arctic-cool

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/arcsin1/oh-my-ppt/arctic-cool"><img src="https://agentmods.dev/badge/skills/arcsin1/oh-my-ppt/arctic-cool.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 458 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 $0.00458
Opus 5 $0.00000 $0.00229
Sonnet 5 $0.00000 $0.00092
Haiku 4.5 $0.00000 $0.00046

Measured 4d ago against content hash e119e8598fde, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

arctic-cool 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 4d 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/arctic-cool/SKILL.md · 26 lines

What it actually says

北极冷风格是数据和分析的理想栖所——冰蓝渐变像北极的冰面一样冷静而清澈,每一组数据都在这种理性之光中获得尊严。没有多余的情绪,只有清晰的逻辑和精确的数字。冷静不是冷漠,而是对真相的尊重。

配色

标题 #0c4a6e 深海蓝、正文 #0369a1 海蓝,强调色 #0284c7 明蓝与 #06b6d4 青蓝是冰面的两种光泽。背景 linear-gradient(145deg, #f0f9ff 0%, #e0f2fe 50%, #bae6fd 100%) 是浅蓝的三段渐变,像冬日清晨的天空。卡片 rgba(255,255,255,0.9) 干净通透,边框 rgba(56,189,248,0.2) 是冰蓝色的细线。

排版

专业无衬线字体,字重适中,不张扬但有分量。数据展示清晰,数字字号可以略大,配合等宽对齐。图表和数字是主角,文字是配角。

布局

卡片式布局用于突出关键数据模块,而不是让每个数据点都独立成卡片。图表占据主要面积,文字说明简洁精练;默认低到中密度,大面积的浅蓝留白让数据自由呼吸。

动画

fade-up、stagger-list、counter-up

适合场景

商业分析报告、金融数据展示、季度汇报、市场研究——需要让数据说话、让理性发光的场合。

配图

不支持配图。

不要

  • 不要使用暖色调或活泼元素
  • 不要使用手写体或装饰性字体
  • 不要让装饰抢走数据的注意力
  • 不要用深色背景,保持冰蓝的清爽
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. 4d ago Changed · +3 lines e119e8598fde
  2. 10d ago First seen · 23 lines · 0 tokens per session scan A 681cd4c050ed

Subscribe to this mod's changes

arctic-cool is a skill published in the GitHub repository arcsin1/oh-my-ppt (1,943 stars, last pushed 4d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 458 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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