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 mgiovani/cc-arsenal --skill product-design-tokensgit clone --depth 1 https://github.com/mgiovani/cc-arsenalWrote 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/mgiovani/cc-arsenal/product-design-tokens)<a href="https://agentmods.dev/skills/mgiovani/cc-arsenal/product-design-tokens"><img src="https://agentmods.dev/badge/skills/mgiovani/cc-arsenal/product-design-tokens/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/mgiovani/cc-arsenal/product-design-tokens"><img src="https://agentmods.dev/badge/skills/mgiovani/cc-arsenal/product-design-tokens.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 | $0.00162 | $0.02045 |
| Opus 5.5 | $0.00065 | $0.00818 |
| Sonnet 5.5 | $0.00032 | $0.00409 |
| Haiku 4.5 | $0.00016 | $0.00204 |
Grade A, and why
product-design-tokens 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 22d 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 — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Design Tokens
Produce the token contract a themed UI is built from: a valid, WCAG-checked DTCG 2025.10 JSON
file that stays the single source of truth. This skill writes no application code and never
draws assets; it authors and validates the tokens. Output lands under docs/specs/design/tokens/. <skill-dir> below is this skill's directory.
Input
$ARGUMENTS
Read the source first: an existing repo (scan for a design system before anything else), a design
spec / screen inventory from product-design-spec, a brand brief, or a plain idea. --with-design-md
also emits the optional alpha DESIGN.md prose layer.
Prerequisites & fallback
Sibling skills are invoked via the Skill tool where available; with no Skill tool, apply the
named sibling's documented rules inline (each delegation below states the fallback in-sentence).
Design-system detection uses the Task tool with an Explore/haiku subagent; no Task tool?
Run the detection inline, sequentially, with Grep/Glob/Read. The optional @google/design.md CLI is
probed at runtime, never assumed: the DTCG JSON is emitted whether or not it runs.
Lean by default
Default to a single docs/specs/design/tokens/tokens.dtcg.json. Split a layer (semantic,
component) into its own file only when it outgrows the single file. contrast-report.md sits
alongside it; DESIGN.md only when asked.
If the request implies a large tree (multi-brand × multi-theme × per-component tokens for dozens of components), stop and ask before emitting it: scope it down or confirm the tree first. Never auto-generate a 30-file token set.
Reuse first (top of the ladder)
Inventing a brand from scratch is the last resort, greenfield-only. Before writing any token:
- Detect an existing design system: scan for
tailwind.config.*, shadcn (components.json,@/components/ui), MUI theme, CSS custom properties, or a native platform system. - Adopt or extend it by expressing the existing values as DTCG tokens (alias into them; add only what the change needs), rather than replacing a working system with a new invented palette.
- Only with genuinely no system present do you seed a new core palette.
What ships with it
8 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.
- 22d ago Changed · -1 lines ea8a76bb2710
- 1mo ago Changed 9acb92950147
- 1mo ago Changed 68e4983eca7d
- 1mo ago Changed · +1 lines a550b1034c33
- 1mo ago First seen · 159 lines · 162 tokens per session scan A df8187190d08
product-design-tokens is a skill published in the GitHub repository mgiovani/cc-arsenal (8 stars, last pushed 2d ago), licensed MIT. It adds 162 tokens to every session and 2,045 once invoked, about $0.0006 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 2026-08-31.
Other skills, from other repositories
frontend
Builds, styles, and polishes anything drawn with HTML, CSS, or SVG: web UI, pages, components, HTML reports rendered to PDF or print, figures, PNG/SVG diagrams, slides, and images for Notion or Slack. Use for any styling, layout, animation, or visual-quality task, or when asked to make something look or feel a certain…
cli-anything-photoshop
A command-line tool that controls Adobe Photoshop through Windows automation. It can work with Photoshop documents, layers, selections, text, image adjustments, and exports.
designlang-tokens
Use when styling UI for cal.com — references the extracted design system tokens instead of inventing colors, spacing, or typography.
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'…
user-research-cookiy
End-to-end user research assistant — qualitative and quantitative. Use this skill whenever the user mentions user research, user interviews, discussion guides, interview guides, research plans, qualitative research, quantitative research, user surveys, survey design, usability studies, participant recruitment…
write-zot-themes
Help the user create, install, or package zot themes, including theme-only extensions.