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 cal-com-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/cal-com-design-analysis)<a href="https://agentmods.dev/skills/skillmds/skillmd/cal-com-design-analysis"><img src="https://agentmods.dev/badge/skills/skillmds/skillmd/cal-com-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/cal-com-design-analysis"><img src="https://agentmods.dev/badge/skills/skillmds/skillmd/cal-com-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 | $0.00097 | $0.07985 |
| Opus 5.5 | $0.00039 | $0.03194 |
| Sonnet 5 | $0.00019 | $0.01597 |
| Haiku 4.5 | $0.00010 | $0.00799 |
Grade A, and why
Cal.com-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 — 543 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Cal.com's marketing surface is a clean, friendly modern-SaaS interface — white canvas ({colors.canvas} — #ffffff) with black primary CTAs ({colors.primary} — #111111), custom Cal Sans display typography, and {colors.surface-card} (#f5f5f5) light-gray cards holding product UI fragments. The system reads as confidently engineered without trying to impress — every band has clear hierarchy, generous whitespace, and a single primary action.
Type voice splits cleanly into two roles: Cal Sans (the brand's custom geometric display face — used for h1, h2, h3, and hero headlines) and Inter (used for everything else — body, buttons, nav, captions). Cal Sans uses weight 600 with negative letter-spacing (-0.5px to -2px depending on size) — it feels modern, slightly condensed, distinctly Cal.com.
Component voltage comes from product UI fragments shown directly inside cards — calendar widgets, scheduling forms, automation diagrams, integration tiles. Cal.com doesn't paint marketing illustrations of the product; it shows the actual product chrome at small scale embedded in the marketing flow.
The footer flips to {colors.surface-dark} (#101010) — a deep near-black that visually closes every long-scroll page. The footer is the only dark surface in the system; everything above stays white-with-light-gray-cards.
Key Characteristics:
- White canvas with black primary CTA (
{colors.primary}— #111111). Buttons are{rounded.md}(8px) with confident weight-600 labels. Standard friendly-SaaS button. - Custom
Cal Sansdisplay typeface for headlines (substituted with Inter weight 600 here). Negative letter-spacing on display sizes — geometric, precise, slightly condensed. - Light-gray card surfaces (
{colors.surface-card}— #f5f5f5) for feature cards, testimonials, and pricing tiers (non-featured). The featured pricing tier flips to{colors.surface-dark}(the only dark card on light pages). - Product UI fragments embedded directly in cards — Cal.com shows real schedule pickers, calendar widgets, integration grids inside its marketing cards. Brand voltage from real product chrome at small scale.
- Nav-pill-group (
{component.nav-pill-group}) — a small pill-radius wrapper around grouped nav segments (e.g., the sub-nav switcher between product views). The pill wrapper is one of the system's signature interactive components. - Avatars are circular (
{rounded.full}), 36px diameter, used in testimonial rows and team-listing surfaces. - Footer is dark navy (
{colors.surface-dark}— #101010) with light text ({colors.on-dark-soft}— #a1a1aa). The dark footer closes every page even though the body above is white. - Spacing rhythm is
{spacing.section}(96px) between major bands — tight enough to feel modern-SaaS but generous enough to breathe. - Border radius is hierarchical:
{rounded.md}(8px) for buttons + inputs,{rounded.lg}(12px) for content cards,{rounded.xl}(16px) for the hero app-mockup container,{rounded.pill}for nav-pill-group + badges,{rounded.full}for avatars + icon buttons.
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 · 543 lines · 97 tokens per session scan A 7dbb4d033e03
Cal.com-design-analysis is a skill published in the GitHub repository skillmds/skillmd (1 stars, last pushed yesterday), licensed MIT. It adds 97 tokens to every session and 7,985 once invoked, about $0.0004 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'…