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 agentmods add skills/superdesigndev/superdesign-skill/superdesignnpx skills add superdesigndev/superdesign-skill --skill superdesigngit clone --depth 1 https://github.com/superdesigndev/superdesign-skillWrote 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/superdesigndev/superdesign-skill/superdesign)<a href="https://agentmods.dev/skills/superdesigndev/superdesign-skill/superdesign"><img src="https://agentmods.dev/badge/skills/superdesigndev/superdesign-skill/superdesign.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 | $0.00115 | $0.03635 |
| Opus 5 | $0.00057 | $0.01818 |
| Sonnet 5 | $0.00023 | $0.00727 |
| Haiku 4.5 | $0.00012 | $0.00364 |
Grade A, and why
superdesign 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 5d 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Superdesign helps you find design inspiration and generate or iterate design drafts on an infinite canvas, with multiple leading models available for different design tasks and side-by-side exploration. When a design needs a new visual asset, it can also provide image and video generation.
Core scenarios (what this skill handles)
- Analyze a codebase for design work —
superdesign initbuilds reusable UI context in.superdesign/init/; read INIT.md. - Design, reproduce, or improve UI — create pages, features, flows, and new products on the canvas; read SUPERDESIGN.md.
- Choose and compare leading design models — run
list-models, select a model suited to the task, or use different models to explore independent directions. - Create design systems and reusable components — establish visual foundations, extract patterns, and design connected multi-page experiences.
- Design from a live website or reference URL — extract and apply its design language; read WEBSITE.md.
- Create or export presentations — plan an editable slide outline, approve it in chat, generate a real presentation draft, make slide-safe edits, or reconstruct an editable PPTX when requested and supported; read PRESENTATION.md.
- Create graphics — posters, covers, social posts, thumbnails, flyers, and ads; read GRAPHIC.md.
- Generate supporting images or video — use native image generation when appropriate or choose from Superdesign's generation models; read ASSET_GENERATION.md.
- Continue or directly correct existing work — resume saved targets through RESUME.md, or use design-with-your-model.md when direct authoring is the right path.
When continuing a draft, follow SUPERDESIGN.md ITERATION MODE ROUTING: replace refines the selected direction with version history; branch is only for alternatives the user wants to compare.
What ships with it
12 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.
- agents/openai.yaml 192 B
- INIT.md 438 B
- references/ASSET_GENERATION.md 6.2 KB
- references/COMPONENTS.md 4.6 KB
- references/design-with-your-model.md 3.1 KB
- references/GRAPHIC.md 16 KB
- references/INIT.md 8.2 KB
- references/PRESENTATION.md 13 KB
- references/RESUME.md 21 KB
- references/SUPERDESIGN.md 47 KB
- references/WEBSITE.md 4.5 KB
- SUPERDESIGN.md 459 B
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.
- 5d ago First seen · 158 lines · 115 tokens per session scan A f782f8776dbf
superdesign is a skill published in the GitHub repository superdesigndev/superdesign-skill (501 stars, last pushed 14d ago), licensed MIT. It adds 115 tokens to every session and 3,635 once invoked, about $0.0006 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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