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 WesleySmits/agent-skills --skill design-token-validatorgit clone --depth 1 https://github.com/WesleySmits/agent-skillsWrote 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/wesleysmits/agent-skills/design-token-validator)<a href="https://agentmods.dev/skills/wesleysmits/agent-skills/design-token-validator"><img src="https://agentmods.dev/badge/skills/wesleysmits/agent-skills/design-token-validator/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/wesleysmits/agent-skills/design-token-validator"><img src="https://agentmods.dev/badge/skills/wesleysmits/agent-skills/design-token-validator.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 | $0.00043 | $0.02212 |
| Opus 5.5 | $0.00017 | $0.00885 |
| Sonnet 5.5 | $0.00009 | $0.00442 |
| Haiku 4.5 | $0.00004 | $0.00221 |
Grade A, and why
validating-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 2mo 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 2mo ago First seen · 298 lines · 43 tokens per session scan A 0b6e5958471f
validating-design-tokens is a skill published in the GitHub repository WesleySmits/agent-skills (7 stars, last pushed 9mo ago), with no licence file. It adds 43 tokens to every session and 2,212 once invoked, about $0.0002 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
design-taste-frontend
Use when the user asks for a landing page, marketing site, portfolio, or redesign, not dashboards or data tables. Infers a design read, sets the three dials, picks a real design system, and blocks generic AI patterns at pre-flight.
impeccable
Design, critique, audit, or polish a frontend UI (sites, dashboards, components, forms): hierarchy, accessibility, typography, color, motion, UX copy, design tokens, bolder or quieter visuals. Not for backend-only or non-UI tasks.
hatch3r-design-system-detect
Detects existing design tokens, component library, and theming convention in a project before authoring new UI primitives — output a concise inventory for downstream implementers.
redesign-existing-projects
Use when the user asks to make an existing website or app look premium, remove generic AI-looking design, or polish a UI without changing functionality. Audits the stack, lists the generic AI patterns, and upgrades in place.
frontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI).…
dynamic-typography
L2 mechanics for type in motion: variable-font axis animation, kinetic text, per-letter effects, scroll- and pointer-linked type, and typographic state transitions. Fires on implementing or auditing type-specific motion, or when chained from a higher layer. Ownership of motion budgets, timing doctrine, and…