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.
npx skills add ArieGoldkin/ai-agent-hub --skill prototype-to-productiongit clone --depth 1 https://github.com/ArieGoldkin/ai-agent-hubWrote 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.
[](https://agentmods.dev/skills/ariegoldkin/ai-agent-hub/prototype-to-production)<a href="https://agentmods.dev/skills/ariegoldkin/ai-agent-hub/prototype-to-production"><img src="https://agentmods.dev/badge/skills/ariegoldkin/ai-agent-hub/prototype-to-production/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.
<a href="https://agentmods.dev/skills/ariegoldkin/ai-agent-hub/prototype-to-production"><img src="https://agentmods.dev/badge/skills/ariegoldkin/ai-agent-hub/prototype-to-production.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00057 | $0.01898 |
| Opus 5 | $0.00028 | $0.00949 |
| Sonnet 5 | $0.00011 | $0.00380 |
| Haiku 4.5 | $0.00006 | $0.00190 |
Grade A, and why
prototype-to-production 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 250 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prototype to Production Skill
Convert design prototypes into production-ready, typed components by analyzing structure, extracting patterns, and generating clean code.
When to Use
- Converting HTML prototypes to React components
- Transforming super-design outputs (
.superdesign/design_iterations/*.html) to production code - Breaking down Figma exports into reusable components
- Extracting design tokens from prototype CSS/inline styles
- Productionizing a mockup or proof-of-concept UI
Conversion Workflow
┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Analyze │──▶│ Detect │──▶│ Decompose │──▶│ Generate │
│ Input │ │ Tech Stack │ │ Components │ │ Code │
└─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘
│ │ │ │
▼ ▼ ▼ ▼
Identify type package.json Atomic design TypeScript
& structure scan + patterns methodology components
Step 1: Analyze Input
Detect prototype type and structure:
| Input Type | Detection Method | Key Patterns |
|---|---|---|
| Super-design | Path: .superdesign/design_iterations/*.html |
Flowbite, Tailwind CDN, theme CSS references |
| Generic HTML | Any .html file |
Standard HTML structure, inline/external CSS |
| Figma Export | Figma-specific class names | figma-, absolute positioning, frame naming |
Super-design analysis:
Read prototype file → Extract theme CSS reference →
Identify component regions (header, main, footer) →
Map flowbite components to equivalents
Step 2: Detect Project Tech Stack
Scan target project to determine output format:
-
Check
package.jsonfor frameworks:react/react-dom→ React componentsvue→ Vue SFCssvelte→ Svelte components@angular/core→ Angular components
-
Check for TypeScript:
tsconfig.jsonexists → TypeScript outputtypescriptin dependencies → TypeScript output
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.
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.
- 10d ago First seen · 250 lines · 57 tokens per session scan A 812ee64d3938
prototype-to-production is a skill published in the GitHub repository ArieGoldkin/ai-agent-hub (11 stars, last pushed 9mo ago), licensed MIT. It adds 57 tokens to every session and 1,898 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.
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