design-tokens

design-tokens is a skill for Claude Code, Codex from build-with-dhiraj/ai-workflow-framework-portability-kit. It costs 92 tokens per session (396 once invoked), scanned A, a copy of design-tokens, MIT.

A guide for creating and checking design tokens: named values for colours, text styles, spacing, borders, shadows, and other visual rules. It uses the Design Tokens Community Group format and separates raw values from reusable meanings and component values.

In plain words
What is it for?
Use it to create, extend, or validate token files for colours, typography, spacing, motion, themes, and component styling.
Why use it?
It helps keep an interface visually consistent and makes themes, brands, and later changes easier to manage without scattering hard-coded values through the code.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create, extend, or validate token files for colours, typography, spacing, motion, themes, and component styling.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/build-with-dhiraj/ai-workflow-framework-portability-kit/design-tokens
Install

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.

Any agent
npx skills add build-with-dhiraj/ai-workflow-framework-portability-kit --skill design-tokens
Clone the repo
git clone --depth 1 https://github.com/build-with-dhiraj/ai-workflow-framework-portability-kit

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for design-tokens

README.md
[![agentmods](https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/design-tokens/github.svg)](https://agentmods.dev/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/design-tokens)
Your own site
<a href="https://agentmods.dev/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/design-tokens"><img src="https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/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.

agentmods 80×15 button for design-tokens

Your own site · 80×15
<a href="https://agentmods.dev/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/design-tokens"><img src="https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/design-tokens.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 396 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 89% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00092 $0.00396
Opus 5.5 $0.00037 $0.00158
Sonnet 5.5 $0.00018 $0.00079
Haiku 4.5 $0.00009 $0.00040

Measured 25d ago against content hash 456e24d4f3e2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 25d ago.

The scan reads SKILL.md. This mod also ships 19 executable files (scripts/accuracy_report.mjs, scripts/axe_audit.mjs, scripts/build_tokens.mjs, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

89% identical to design-tokens — 13 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

Skills/design-tokens/SKILL.md · 21 lines

What it actually says

Skill: Design Tokens

Produce and maintain DTCG ($type/$value) tokens following the project's 3-tier system.

Steps

  1. Read KIT-PROTOCOL.md → "Token System" + "Color/Typography/Spacing Guidelines" for the rules (4px base, Major Third scale, OKLCH palette generation, dark-mode-at-semantic-layer).
  2. Read the relevant existing files in tokens/ to match structure: colors.json, typography.json, spacing.json, shadows.json, borders.json, breakpoints.json, motion.json, gradients.json, opacity.json, blur.json, sizing.json, states.json, theming.json.
  3. Generate/extend tokens:
    • Primitives = raw values (never used directly). Semantic = purpose aliases. Component = component-scoped.
    • New palettes: generate 11 OKLCH shades; verify 500 ≥ 4.5:1 on white (text), 600 ≥ 3:1 (UI) using the a11y-audit skill / scripts/contrast.py.
    • Multi-brand/density → theming.json.
  4. Validate: run python3 scripts/validate_tokens.py (JSON validity + alias resolution).

Output

DTCG JSON. Preserve $description on every token. Reference, never hardcode.

Files

What ships with it

44 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.

Changes

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.

  1. 25d ago First seen · 21 lines · 92 tokens per session scan A 456e24d4f3e2

Subscribe to this mod's changes

design-tokens is a skill published in the GitHub repository build-with-dhiraj/ai-workflow-framework-portability-kit (5 stars, last pushed 12d ago), licensed MIT. It adds 92 tokens to every session and 396 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to design-tokens, differing in 13 lines, and is treated as a copy.