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 skillmds/skillmd --skill ferrari-design-analysisgit clone --depth 1 https://github.com/skillmds/skillmdWrote 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/skillmds/skillmd/ferrari-design-analysis)<a href="https://agentmods.dev/skills/skillmds/skillmd/ferrari-design-analysis"><img src="https://agentmods.dev/badge/skills/skillmds/skillmd/ferrari-design-analysis/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/skillmds/skillmd/ferrari-design-analysis"><img src="https://agentmods.dev/badge/skills/skillmds/skillmd/ferrari-design-analysis.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 | $0.00199 | $0.06609 |
| Opus 5.5 | $0.00080 | $0.02644 |
| Sonnet 5 | $0.00040 | $0.01322 |
| Haiku 4.5 | $0.00020 | $0.00661 |
Grade A, and why
Ferrari-design-analysis 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 4d 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 — 532 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Ferrari's marketing site reads as cinematic editorial — closer to a luxury-magazine spread than a typical car-OEM site. The base canvas is near-black ({colors.canvas} — #181818) holding pure white display type; white-canvas bands appear only inside specific editorial contexts (preowned listings, pricing tables, dealer surfaces). The single brand voltage is Rosso Corsa ({colors.primary} — #da291c), the iconic Ferrari racing red, used scarcely on primary CTAs, the Cavallino mark, and Formula 1 race-position highlights.
Type runs FerrariSans as the single sans family at modest weights — display 500, body 400. CTA labels render in uppercase with generous tracking (1.1-1.4px). The brand never uses bold display copy.
The brand's strongest visual signature is the full-bleed cinematic hero photograph — top-of-page imagery shows car photography, model details, or trackside livery without any chrome competing with it. Headlines float over the bottom of the photo or sit in a tight band beneath. Spacing follows the explicit 8px token ladder: xxxs 4 / xxs 8 / xs 16 / sm 24 / md 32 / lg 48 / xl 64 / xxl 96 / super 128.
Key Characteristics:
- Single accent:
{colors.primary}(Rosso Corsa #da291c) for primary CTAs, the Cavallino, F1 race-position highlights. Used scarcely. - Near-black canvas (#181818) — never pure black. White-canvas bands only inside editorial contexts.
- Single sans family: FerrariSans across every text role.
- Display weight stays at 500 — never bold.
- CTA labels render uppercase with 1.4px tracking.
- Sharp
{rounded.none}(0px) corners on every CTA, card, and band — luxury-automotive precision. - Full-bleed cinematic hero photography is the page chrome.
- Explicit 8px spacing token ladder with named scale (xxxs through super).
- Hairlines + photographic depth — no drop shadow tiers.
Colors
Brand & Accent
- Rosso Corsa (
{colors.primary}— #da291c): The iconic Ferrari racing red. Primary CTA fill, Cavallino mark, F1 driver-position highlights. Used scarcely. - Rosso Corsa Active (
{colors.primary-active}— #b01e0a): Press state. - Rosso Corsa Hover-darker (
{colors.primary-hover}— #9d2211): Documented for completeness; per the no-hover policy this is not used in preview HTML. - Hypersail Yellow (
{colors.accent-yellow-hypersail}— #fff200) + Yellow ({colors.accent-yellow}— #f6e500): Sub-brand accents reserved for the Hypersail sailing program and the global focus-ring color. Not part of the main automotive palette.
What ships with it
1 file 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.
- 4d ago First seen · 532 lines · 199 tokens per session scan A d06737ca16e6
Ferrari-design-analysis is a skill published in the GitHub repository skillmds/skillmd (1 stars, last pushed yesterday), licensed MIT. It adds 199 tokens to every session and 6,609 once invoked, about $0.0008 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 2026-09-19.
Other skills, from other repositories
get-context
Mandatory design-brief gate for clarifying the product and outcome. Use before ideation, image-to-code builds, redesigns, or product UI work to clarify missing product information and play back the brief before proceeding.
frontend
Builds, styles, and polishes web UI and UX. Use for any frontend, page, component, styling, layout, animation, or visual-quality task, or when asked to make an interface look or feel a certain way.
designlang-tokens
Use when styling UI for cal.com — references the extracted design system tokens instead of inventing colors, spacing, or typography.
antv-x6-editor
A skill for creating and troubleshooting interactive diagrams with AntV X6, a JavaScript engine for editors made of connected nodes and lines. It supports diagram types such as flowcharts, dependency graphs, entity-relationship diagrams, and organization charts.
antv-infographic
Create beautiful infographics based on given text content. Use when users request to create infographics.
app-screenshot-debug
Drive the running termio app via AppleScript / System Events to reach a UI state (focus the window, click a sidebar project, a terminal pane, a control), capture a pixel-accurate screenshot of just that window, and read it back for visual analysis — for diagnosing layout / spacing / alignment / 'this looks ugly'…