operating-system-visualization

A visual teaching aid for operating-system topics such as processes, CPU scheduling, memory, files, and deadlocks. It helps explain these subjects with diagrams, charts, and other visual examples.

In plain words
What is it for?
Use it to study process states, CPU scheduling charts, synchronization, semaphores, deadlock and Banker's algorithm, paging, address translation, page replacement, file systems, and disk scheduling.
Why use it?
Operating-system rules and sequences can be difficult to follow in text alone. Visual explanations make states, timelines, memory changes, and competing tasks easier to understand.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/mingchen666/reviva/operating-system-visualization
Any agent
npx skills add mingchen666/Reviva --skill operating-system-visualization
Clone the repo
git clone --depth 1 https://github.com/mingchen666/Reviva

Made for: Claude Code, Codex.

Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 963 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00067 $0.00963
Opus 5 $0.00034 $0.00481
Sonnet 5 $0.00013 $0.00193
Haiku 4.5 $0.00007 $0.00096

Measured 2d ago against content hash 999c190449d4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

operating-system-visualization 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 2d 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.

electron/builtin-assets/skills/operating-system-visualization/SKILL.md · 89 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

4 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. 2d ago First seen · 89 lines · 67 tokens per session scan A 999c190449d4

Subscribe to this mod's changes

operating-system-visualization is a skill published in the GitHub repository mingchen666/Reviva (217 stars, last pushed 6d ago), with no licence file. It adds 67 tokens to every session and 963 once invoked, about $0.0003 per session on Opus 5. 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.

Related

Other skills, from other repositories

edu-math-tutorial

数学题分步讲解视频的领域知识。适用场景:(1) 用户给出一道数学题并要求做讲解/ 解题视频;(2) 用户说"讲解这道题"、"生成解题视频"、"make a math tutorial"; (3) 需要中文数学教学视频,涉及方程、公式或几何图形。本 skill 只提供领域 知识(题目拆解、讲解节奏、旁白文案规范、版式与 KaTeX 排版风格);画面、 配音与成片一律用 Creator 原生 Element 与工具从源头构建。.

agentscope-ai/QwenPaw · 146 tokens

iflytek-text-proofread

Proofread Chinese text using iFlytek's Official Document Proofreading API (公文校对). Detects 27 types of errors across three categories.

iflytek/iFly-Skills · 88 tokens

iflytek-translate

Translate text using iFlytek's Machine Translation API (机器翻译). Supports 70+ language pairs.

iflytek/iFly-Skills · 65 tokens

iflytek-video-translate

Use when user asks to translate videos, dub video content, or localize videos into other languages. Translate videos with AI-powered dubbing using iFlytek (Xfei) Video Translation API. Supports video language translation, voice dubbing, multilingual video localization, 视频翻译, 视频配音, 视频本地化. Features task creation, task…

iflytek/iFly-Skills · 91 tokens

yida-i18n

应用多语言管理。查询和维护宜搭应用的语言配置、文案词条、翻译状态、一键翻译和多语言升级。适用于全球化设置 / 多语言管理页面;需要应用已开通国际化能力包,或运行在 Global YiDA 环境(默认入口为 www.yidaapps.com,且支持客户自定义二级域名)。.

openyida/openyida · 87 tokens

figma-implement-design

Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Use when the user provides Figma URLs or node IDs and asks to implement designs or components that must match Figma specs. Requires a working…

tech-leads-club/agent-skills · 97 tokens