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 5.5 | $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 1mo 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.
- 1mo 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 (143 stars, last pushed 4d ago), 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.
Ferrari-design-analysis compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Ferrari-design-analysisskillmds/skillmd | Skill | 143 | 4d ago | MIT | A | 199 | Claude Code |
| frontendcode-yeongyu/lazycodex | Skill | 3.9k | yesterday | MIT | A | 79 | Codex |
| designlang-tokensManavarya09/design-extract | Skill | 4.8k | 2d ago | MIT | A | 30 | Claude Code |
| cli-anything-photoshopyb2460/harness-anything | Skill | 3.0k | 29d ago | MIT | A | 43 | Claude Code, Codex |
| app-screenshot-debugtermio-sh/termio | Skill | 785 | 5d ago | MIT | A | 161 | Claude Code, Codex |
| user-research-cookiycookiy-ai/user-research-skill | Skill | 1.6k | 5d ago | MIT | A | 154 | Claude Code, Codex |
| write-zot-themespatriceckhart/zot | Skill | 360 | yesterday | MIT | A | 23 | Claude Code, Codex |