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 rojim666/SztuCode --skill ardot-design-to-codegit clone --depth 1 https://github.com/rojim666/SztuCodeWrote 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/rojim666/sztucode/ardot-design-to-code)<a href="https://agentmods.dev/skills/rojim666/sztucode/ardot-design-to-code"><img src="https://agentmods.dev/badge/skills/rojim666/sztucode/ardot-design-to-code/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/rojim666/sztucode/ardot-design-to-code"><img src="https://agentmods.dev/badge/skills/rojim666/sztucode/ardot-design-to-code.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 | $0.00589 |
| Opus 5 | $0.00100 | $0.00295 |
| Sonnet 5 | $0.00040 | $0.00118 |
| Haiku 4.5 | $0.00020 | $0.00059 |
Grade A, and why
ardot-design-to-code 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 today.
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.
What it actually says
Ardot Design-to-Code & Style Extraction
Domain workflows for design → frontend code conversion and website → style-guide extraction on the Ardot canvas.
The general workflow and hard rules live in
ardot-design-core, which is injected alongside this skill. Followardot-design-corefor the step sequence, schema, editing rules, effects, and screenshot verification. This skill carries the specialized conversion/extraction workflows and implementation guidelines.
Specialized Workflows (follow strictly — do NOT improvise the procedure)
- Design → frontend code →
{SKILL_ROOT}/workflows/design-to-code-workflow.md— design → HTML/CSS/JS, generate Application, to code, slide transitions, responsive scaling. - Website → style guide extraction →
{SKILL_ROOT}/workflows/extract-style-guide-from-web.md— pull a design guide / tokens from an existing website.
Implementation Guidelines (load alongside a design-type guideline when generating code)
{SKILL_ROOT}/references/guidelines-code.md— design-to-code implementation rules.{SKILL_ROOT}/references/guidelines-tailwind.md— Tailwind v4 implementation (load alongsideguidelines-code.md).
Files referenced by these workflows that live in the core skill are read from the ardot-design-core skill root — its absolute path is provided in the same prompt that injected this skill. This includes
design-rules.mdetc. and the shared tool-usage guides (tool-usage/batch-edit.md,tool-usage/apply-variables.md), which now live inardot-design-corebecausebatch_edit/apply_variablesare used by every Ardot task.
What ships with it
4 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.
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.
- today First seen · 26 lines · 199 tokens per session scan A 231525b4ef7b
ardot-design-to-code is a skill published in the GitHub repository rojim666/SztuCode (64 stars, last pushed today), licensed MIT. It adds 199 tokens to every session and 589 once invoked, about $0.0010 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 2026-09-12.
Other skills, from other repositories
frontend-design
Use this skill for work a user will see rendered: websites, landing pages, dashboards, web applications, interface components, style overhauls, and requests to make an interface look better. It classifies the surface as expressive, conventional, or governed by an existing design system, then commits to palette…
design-system
DESIGN.md integration for Forge — ensures visual consistency across all UI tasks through standardized design specifications.
design-taste-frontend
Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.
design-taste-frontend-v1
The original v1 taste-skill, preserved for projects depending on its exact behavior. The current default is design-taste-frontend (v2 experimental), which is a substantial rewrite. Use this v1 install name only if you need exact backward compatibility.
high-end-visual-design
Teaches the AI to design like a high-end agency. Defines the exact fonts, spacing, shadows, card structures, and animations that make a website feel expensive. Blocks all the common defaults that make AI designs look cheap or generic.
gpt-taste
Elite UX/UI & Advanced GSAP Motion Engineer. Enforces Python-driven true randomization for layout variance, strict AIDA page structure, wide editorial typography (bans 6-line wraps), gapless bento grids, strict GSAP ScrollTriggers (pinning, stacking, scrubbing), inline micro-images, and massive section spacing.