red-research-framework

red-research-framework is a skill for Claude Code, Codex from arcsin1/oh-my-ppt. It costs 0 tokens per session (493 once invoked), scanned A, original, Apache-2.0.

A visual framework for presenting teaching and research topics in Chinese, using connected modules and clear paths. It focuses on explaining how ideas relate rather than on decoration.

In plain words
What is it for?
Use it to plan course frameworks, explain research results, prepare vocational-training presentations, or present training content. It supports layouts such as processes, grids, cycles, comparisons, and hierarchies.
Why use it?
It helps make complex teaching or research material easier to follow. It provides a consistent structure for showing sequence, hierarchy, and dependencies.

Skill for Claude CodeCodex

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

Good fit Use it to plan course frameworks, explain research results, prepare vocational-training presentations, or present training content. It supports layouts such as processes, grids, cycles, comparisons, and hierarchies.

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Install with agentmods
npx agentmods add skills/arcsin1/oh-my-ppt/red-research-framework
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 · 1,927 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 red-research-framework
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 red-research-framework

README.md
[![agentmods](https://agentmods.dev/badge/skills/arcsin1/oh-my-ppt/red-research-framework.svg)](https://agentmods.dev/skills/arcsin1/oh-my-ppt/red-research-framework)
Your own site
<a href="https://agentmods.dev/skills/arcsin1/oh-my-ppt/red-research-framework"><img src="https://agentmods.dev/badge/skills/arcsin1/oh-my-ppt/red-research-framework.svg" alt="Measured on agentmods" 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 493 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 $0.00493
Opus 5 $0.00000 $0.00246
Sonnet 5 $0.00000 $0.00099
Haiku 4.5 $0.00000 $0.00049

Measured 3d ago against content hash 1b70cf3d7555, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

red-research-framework 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.

resources/styles/red-research-framework/SKILL.md · 36 lines

What it actually says

丹朱教研以白底、中国红和明确连接关系表达教学与研究框架。它把复杂内容拆成可讲述的模块和路径,重点是逻辑推进而不是装饰。

配色

主色为 #D02300,辅以 #9C1A00、#BF3C2E、#C00000、#8F2D23。强调色使用 #FD905F、#E17467、#FFC000、#FFDC6D。背景以 #FFFFFF 为主,卡片可用 #F6D3CC、#F9ECEA、#FCF1F0、#F8F4FA;正文使用 #808080、#595959。

排版

使用 PingFang SC 等无衬线黑体。标题 40-47px,以红字或红底白字呈现;副标题使用红字主标、灰色斜杠与灰字栏目名。正文 20-33px,左对齐分点,关键词只用红色突出一次。

布局

标题栏固定在左上,主体使用三段流程、模块化宫格、闭环、鱼骨对比或层级框架。箭头、虚线和连接线只表达明确的顺序或依赖;保持白底留白,不把每个模块做成大卡片。

插画与装饰

使用圆角矩形、圆形/胶囊标签、六边形和红色描边。金黄箭头可强调推进步骤,但不使用具象人物、手绘插画或复杂特效。

动画

使用 fade 和 wipe,由左到右或由下到上,时长 0.5-1s。卡片和流程节点按讲述顺序出现。

适合场景

教学设计、教研成果汇报、职业教育说课、党政培训、课程框架展示。

配图

不支持配图。

不要

  • 不要使用冷淡色、马卡龙或大面积深色背景。
  • 不要使用 3D、霓虹、卡通或强烈光效。
  • 不要削弱红底白字和红字白底的对比。
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. 3d ago First seen · 36 lines · 0 tokens per session scan A 1b70cf3d7555

Subscribe to this mod's changes

red-research-framework 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 493 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.