prototype

prototype is a skill for Claude Code, Codex from RainMT-dv/skills-pack. It costs 39 tokens per session (602 once invoked), scanned A, a copy of prototype, MIT.

Throwaway code made to answer a specific design question before committing to a final implementation.

In plain words
What is it for?
Use it to build a small terminal app for logic and state cases, or several switchable UI variations for a page or component.
Why use it?
It lets you test whether a state model, program logic, or user interface feels right while changes are still cheap.

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/rainmt-dv/skills-pack/prototype
Any agent
npx skills add RainMT-dv/skills-pack --skill prototype
Clone the repo
git clone --depth 1 https://github.com/RainMT-dv/skills-pack

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 prototype

README.md
[![agentmods](https://agentmods.dev/badge/skills/rainmt-dv/skills-pack/prototype.svg)](https://agentmods.dev/skills/rainmt-dv/skills-pack/prototype)
Your own site
<a href="https://agentmods.dev/skills/rainmt-dv/skills-pack/prototype"><img src="https://agentmods.dev/badge/skills/rainmt-dv/skills-pack/prototype.svg" alt="Measured on agentmods" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 602 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 77% copy Near-identical to another mod 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 $0.00039 $0.00602
Opus 5 $0.00019 $0.00301
Sonnet 5 $0.00008 $0.00120
Haiku 4.5 $0.00004 $0.00060

Measured 3d ago against content hash 03074862d4b6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

prototype 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.

Origin

This is a copy

77% identical to prototype — 14 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/prototype/SKILL.md · 27 lines

How it starts

The opening of the file, as written. The whole thing — 27 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Prototype

A prototype is throwaway code that answers a question. The question decides the shape.

Pick a branch

Identify which question is being answered — from the user's prompt, the surrounding code, or by asking if the user is around:

  • "Does this logic / state model feel right?"LOGIC.md. Build a tiny interactive terminal app that pushes the state machine through cases that are hard to reason about on paper.
  • "What should this look like?"UI.md. Generate several radically different UI variations on a single route, switchable via a URL search param and a floating bottom bar.

The two branches produce very different artifacts — getting this wrong wastes the whole prototype. If the question is genuinely ambiguous and the user isn't reachable, default to whichever branch better matches the surrounding code (a backend module → logic; a page or component → UI) and state the assumption at the top of the prototype.

Rules that apply to both

  1. Throwaway from day one, and clearly marked as such. Locate the prototype code close to where it will actually be used (next to the module or page it's prototyping for) so context is obvious — but name it so a casual reader can see it's a prototype, not production. For throwaway UI routes, obey whatever routing convention the project already uses; don't invent a new top-level structure.
  2. One command to run. Whatever the project's existing task runner supports — pnpm <name>, python <path>, bun <path>, etc. The user must be able to start it without thinking.
  3. No persistence by default. State lives in memory. Persistence is the thing the prototype is checking, not something it should depend on. If the question explicitly involves a database, hit a scratch DB or a local file with a clear "PROTOTYPE — wipe me" name.
  4. Skip the polish. No tests, no error handling beyond what makes the prototype runnable, no abstractions. The point is to learn something fast.
  5. Surface the state. After every action (logic) or on every variant switch (UI), print or render the full relevant state so the user can see what changed.
  6. Capture it when done. Fold any validated decision into the real code, then capture the prototype itself as a primary source: commit it to a throwaway branch, out of main, and leave a context pointer to that branch on the implementation issue. Capture the answer too — the verdict and the question it settled — in the issue or a commit. The main branch keeps only the validated decision.

Read the full file on GitHub · 27 lines

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 · 27 lines · 39 tokens per session scan A 03074862d4b6

Subscribe to this mod's changes

prototype is a skill published in the GitHub repository RainMT-dv/skills-pack (2 stars, last pushed 1mo ago), licensed MIT. It adds 39 tokens to every session and 602 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 77% identical to prototype, differing in 14 lines, and is treated as a copy.

Related

Other skills, from other repositories

ui-ux-pro-max

UI/UX design intelligence for web, mobile, and desktop. This skill should be used when designing, building, reviewing, or fixing interfaces, including pages, components, design systems, accessibility, interaction, responsive layout, typography, color, charts, and stack-specific UI implementation. Searchable local…

nextlevelbuilder/ui-ux-pro-max-skill · 114 tokens

design

Comprehensive design skill: brand identity, design tokens, UI styling, logo generation (55 styles, Gemini, Atlas Cloud, or MuAPI AI), corporate identity program (50 deliverables, CIP mockups), HTML presentations (Chart.js), banner design (22 styles, social/ads/web/print), icon design (15 styles, SVG, Gemini 3.1 Pro)…

nextlevelbuilder/ui-ux-pro-max-skill · 148 tokens

ui-styling

Create beautiful, accessible user interfaces with shadcn/ui components (built on Radix UI + Tailwind), Tailwind CSS utility-first styling, and canvas-based visual designs. Use when building user interfaces, implementing design systems, creating responsive layouts, adding accessible components (dialogs, dropdowns…

nextlevelbuilder/ui-ux-pro-max-skill · 90 tokens

Image to Code Conversion

Converts screenshots, mockups, or Figma design files into pixel-perfect, responsive code. / TR: Ekran görüntüleri, mockup'lar veya tasarım dosyalarını (Figma vb.) analiz ederek piksel mükemmelliğinde, duyarlı (responsive) ve temiz koda dönüştürme.

GktuOktay/ai-skills · 73 tokens

design-orchestrator

Orchestrator for UI/UX design, animations, visual production, and frontend aesthetic standards. / TR: UI/UX tasarım, animasyon, görsel üretim ve frontend estetik süreçlerini yöneten orkestratör.

GktuOktay/ai-skills · 53 tokens

Onboarding Flow Design

First-time user experience (FTUE), progressive disclosure, and onboarding flow design. / TR: Web ve mobil uygulamalar için ilk kullanım deneyimi (FTUE), aşamalı bilgilendirme ve kullanıcı karşılama süreçlerinin tasarımı.

GktuOktay/ai-skills · 57 tokens