Borrowing it
Nothing to install: this file belongs to nguyennguyenit/MultiClaude. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/nguyennguyenit/MultiClaude/master/.claude/commands/ipa/design.mdgit clone --depth 1 https://github.com/nguyennguyenit/MultiClaudeWrote 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/commands/nguyennguyenit/multiclaude/design)<a href="https://agentmods.dev/commands/nguyennguyenit/multiclaude/design"><img src="https://agentmods.dev/badge/commands/nguyennguyenit/multiclaude/design.svg" alt="Measured on agentmods" 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 | $0.00012 | $0.03955 |
| Opus 5 | $0.00006 | $0.01978 |
| Sonnet 5 | $0.00002 | $0.00791 |
| Haiku 4.5 | $0.00001 | $0.00396 |
Grade A, and why
design 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 8d 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 — 519 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Generate production-ready HTML/CSS/JS prototypes from docs/UI_SPEC.md.
Key Features:
- CJX-driven design (emotions → UI decisions)
- Reference cloning (URL/image)
- UI/UX Pro Max skill integration
Output: docs/prototypes/ (HTML, CSS, JS, icons)
Input
Required:
docs/UI_SPEC.md(must exist from /ipa:bd, includes CJX)
Optional Reference: $ARGUMENTS
Reference can be:
- URL: Website to clone design from (e.g.,
https://example.com) - Image: Screenshot or design file path (e.g.,
./design.png) - Style: Preset name (e.g.,
minimalist,glassmorphism)
CJX → Design Mapping
Read CJX from UI_SPEC.md and apply to design decisions:
┌─────────────────────────────────────────────────────────────┐
│ CJX-DRIVEN DESIGN │
├─────────────────────────────────────────────────────────────┤
│ │
│ JOURNEY STAGE → DESIGN PATTERN │
│ │
│ Discovery (Curious) │
│ → Bold hero, trust signals, clear value prop │
│ → Primary CTA prominent, social proof visible │
│ → Animation: subtle entrance, draw attention │
│ │
│ Onboarding (Hesitant) │
│ → Progress indicator, minimal fields │
│ → Reassuring copy, easy exit option │
│ → Animation: encouraging micro-interactions │
│ │
│ Usage (Engaged) │
│ → Clean dashboard, quick actions │
│ → Data visualization, status feedback │
│ → Animation: smooth transitions, success celebrations │
│ │
│ Retention (Satisfied/Frustrated) │
│ → Help accessible, feedback channels │
│ → Achievement badges, usage stats │
│ → Animation: reward animations, gentle nudges │
│ │
└─────────────────────────────────────────────────────────────┘
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.
- 8d ago First seen · 519 lines · 12 tokens per session scan A 7d662bb00728
design is a command published in the GitHub repository nguyennguyenit/MultiClaude (22 stars, last pushed 27d ago), licensed MIT. It adds 12 tokens to every session and 3,955 once invoked, about $0.0001 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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