A brand-design tool that turns UX research into visual guidelines for a product. It creates design tokens, a brand reference page, and a document explaining the choices.

Use it to define or audit a color palette, visual identity, design system, brand tone, and related interface guidelines.

It links colors, visual style, and interface conventions to the audience's feelings, technical comfort, and needs. This gives a design team a documented basis for visual decisions.

ux-brand — Skill for Claude Code by digital-stoic-org

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 digital-stoic-org/agent-skills --skill ux-brand

Clone the repo

git clone --depth 1 https://github.com/digital-stoic-org/agent-skills

Made for: Claude Code.

Or install biz, the plugin that ships this one along with the rest of its 7 skills.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/digital-stoic-org/agent-skills/ux-brand/github.svg)](https://agentmods.dev/skills/digital-stoic-org/agent-skills/ux-brand)

Your own site

<a href="https://agentmods.dev/skills/digital-stoic-org/agent-skills/ux-brand"><img src="https://agentmods.dev/badge/skills/digital-stoic-org/agent-skills/ux-brand/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/digital-stoic-org/agent-skills/ux-brand"><img src="https://agentmods.dev/badge/skills/digital-stoic-org/agent-skills/ux-brand.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,496 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. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium Excessive Agency · line 5
Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.

Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.

How audits are shown

Origin original No closer match found 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.

Model	Per session	Once invoked
Fable 5.1	$0.00072	$0.01496
Opus 5	$0.00036	$0.00748
Sonnet 5	$0.00014	$0.00299
Haiku 4.5	$0.00007	$0.00150

Measured 11d ago against content hash 9297755ccec4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ux-brand 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 11d 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.

biz/skills/ux-brand/SKILL.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

UX Brand

Workflow

Parse $ARGUMENTS → {subcommand} + {subject} + options. Default subcommand = brand. Missing subject → AskUserQuestion.
Discover inputs — Glob in priority order:
- biz/{subject}/ux/*-{subject}.md (empathy-map, persona, forces, jtbd, vpc, journey-map)
- biz/PRD-*-llm.md, biz/analysis/*{subject}*
- biz/{subject}/ux/design-system.yaml (existing tokens — required for audit and --update)
- Nothing found → AskUserQuestion: audience description, industry, emotional need, tech-comfort (1-10)
Classify audience — See references/brand-archetypes.md:
- Extract emotional landscape from empathy map feels + forces anxiety/push → select primary archetype (+ optional blend)
- Extract tech-comfort from persona tech_comfort field (or infer from tools_used, age, profession)
- --tone and --tech-comfort override artifact-derived values
- Detect locale/industry from artifact content + --industry hint
Research references — If WebSearch available:
- Generate queries from archetype × tech-comfort × industry. See references/benchmark-framework.md
- Discover 4-layer references: familiarity anchors, aspiration ceiling, anti-references, cross-industry
- Fallback: read scripts/benchmark-defaults.yaml
Derive tokens — See references/brand-archetypes.md + references/color-psychology.md + references/typography-strategy.md:
- Select palette/typography/iconography base from archetype
- Adjust for tech-comfort level (see matrix)
- Adjust for cultural context (references/cultural-context.md)
- Test all color pairs for WCAG AA (references/color-psychology.md §WCAG)
- Validate against references/anti-patterns.md
- Derive visual/imagery strategy — When tech-comfort ≤ 5 OR early-stage product (no asset budget), default imagery.strategy to zero-asset and derive:
  - Emoji vocabulary: map each UI concept (statuses, actions, alerts, categories) to one consistent emoji. Semantic only, never decorative.
  - Color blocks: hero gradient (dark → primary), alternating section backgrounds, stat cards as visual anchors (large numbers in 48px+ bold = the "imagery")
  - Typography as design: giant stat numbers replace illustrations for feature explanation
  - Whitespace as design: generous spacing replaces decorative elements
  - Set imagery.upgrade-path to guide future investment (e.g., "v2: commission line illustrations")
- Output schema: references/design-system-schema.md

Read the full file on GitHub · 89 lines

Files

What ships with it

11 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.

11d ago First seen · 89 lines · 72 tokens per session scan A 9297755ccec4

Subscribe to this mod's changes

ux-brand is a skill published in the GitHub repository digital-stoic-org/agent-skills (20 stars, last pushed 4d ago), licensed MIT. It adds 72 tokens to every session and 1,496 once invoked, about $0.0004 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 2026-08-30.

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ux-brand