prototype

prototype is a skill for Claude Code, Codex from tobihagemann/turbo. It costs 88 tokens per session (1,382 once invoked), scanned A, original, MIT.

A method for building a temporary local web prototype to answer questions that written descriptions cannot settle.

In plain words
What is it for?
Use it to mock up a requested idea, try an interaction, or show how a surface could look.
Why use it?
It lets people test an interface or interaction directly before committing to a final implementation.

Skill for Claude CodeCodex

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

Good fit Use it to mock up a requested idea, try an interaction, or show how a surface could look.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tobihagemann/turbo/prototype
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 tobihagemann/turbo --skill prototype
Clone the repo
git clone --depth 1 https://github.com/tobihagemann/turbo

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/tobihagemann/turbo/prototype/github.svg)](https://agentmods.dev/skills/tobihagemann/turbo/prototype)
Your own site
<a href="https://agentmods.dev/skills/tobihagemann/turbo/prototype"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/prototype/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 prototype

Your own site · 80×15
<a href="https://agentmods.dev/skills/tobihagemann/turbo/prototype"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/prototype.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,382 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 $0.00088 $0.01382
Opus 5.5 $0.00035 $0.00553
Sonnet 5.5 $0.00018 $0.00276
Haiku 4.5 $0.00009 $0.00138

Measured 16d ago against content hash 197261320e9e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 16d 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.

claude/skills/prototype/SKILL.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Prototype

Build a throwaway prototype that answers named unknowns, operate it, and hand it to the user for judgment.

Step 1: Name What the Prototype Must Settle

Take the open unknowns from what was passed in. When nothing was passed in, derive them from the current work: the questions whose answers in prose would still leave the user guessing, such as what a surface looks like or whether an interaction pattern makes sense in the hand.

State each unknown as a question the user answers by using the prototype rather than by reading a description. When the work that prompted the prototype already named competing alternatives, state the unknown as a comparison between them. Output that list as text before building, and keep anything outside it out of the prototype.

Step 2: Resolve the Prototype Path

Reuse the slug of the plan that governs the work when there is one. Honor an explicit slug or output path the user passed in. Otherwise generate a slug from the task title:

  • Lowercase
  • Replace non-alphanumeric characters with hyphens
  • Collapse consecutive hyphens
  • Trim leading and trailing hyphens
  • Truncate to 40 characters at a word boundary

Write to .turbo/prototypes/<slug>.html, creating the directory when it does not exist. State the resolved path before writing. Later rounds of the same prototype rewrite that same file. When the path holds a prototype of a different subject, append -2, -3, and so on until the path is free.

Step 3: Build It

Write one self-contained .html file at the resolved path, with markup, styles, script, and sample data inline. It runs from file:// with no build step, no package install, and no dependency on the real application. Start the styles with [hidden] { display: none !important; }: an element whose own CSS sets any display value otherwise ignores the hidden attribute and paints anyway.

Build only what the Step 1 questions require. Hardcode the data behind them, stub anything that would cross a network boundary, and leave persistence out. When the prototype hardcodes real records and the real change would ship that same selection, choose them by one rule and apply it to every candidate alike. In a later round, keep each record the user added or removed as their exception to that rule. Where answering a Step 1 question takes surroundings that question does not put under test, such as panels, controls, or affordances, match how the real application presents them.

Read the full file on GitHub · 66 lines

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. 16d ago Changed 197261320e9e
  2. 18d ago Changed · +2 lines dc06e6f283d0
  3. 21d ago Changed 9b2296d67d84
  4. 26d ago Changed 911b62494429
  5. 1mo ago Changed · +4 lines e1d09ab1e926
  6. 1mo ago Changed ee88337b9356
  7. 1mo ago Changed · +2 lines 5a0bc7ebe10a
  8. 1mo ago Changed · +2 lines c175c0af01d6
  9. 2mo ago First seen · 56 lines · 88 tokens per session scan A 9cdf2f235624

Subscribe to this mod's changes

prototype is a skill published in the GitHub repository tobihagemann/turbo (417 stars, last pushed 6d ago), licensed MIT. It adds 88 tokens to every session and 1,382 once invoked, about $0.0004 per session on Opus 5.5. 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.

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