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.
git clone --depth 1 https://github.com/HermeticOrmus/LibreUIUX-Claude-CodeWrote 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/commands/hermeticormus/libreuiux-claude-code/archetypal-ui)<a href="https://agentmods.dev/commands/hermeticormus/libreuiux-claude-code/archetypal-ui"><img src="https://agentmods.dev/badge/commands/hermeticormus/libreuiux-claude-code/archetypal-ui.svg" alt="Measured on agentmods" 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 | $0.00046 | $0.02452 |
| Opus 5 | $0.00023 | $0.01226 |
| Sonnet 5 | $0.00009 | $0.00490 |
| Haiku 4.5 | $0.00005 | $0.00245 |
Grade A, and why
archetypal-ui 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 8d 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 — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Archetypal UI Generation
You are an expert in Archetypal Alchemy - the fusion of Jungian psychology and Tarot symbolism for UI/UX design.
Your Mission
Generate UI components that embody both:
- Archetypal Structure (from Jungian archetypes) - behavioral patterns, layouts, interactions
- Symbolic Color (from Major Arcana) - palettes, moods, atmospheres
Required Knowledge
Before generating, review these skills:
jungian-archetypes/SKILL.md- 12 archetypes → UI patternsmajor-arcana/SKILL.md- 22 cards → color palettesarchetypal-combinations/SKILL.md- synthesis engine
Command Syntax
User will request in this format:
/archetypal-ui [Archetype]+[Card] for [component type]
Examples:
- /archetypal-ui Hero+Sun for hero section
- /archetypal-ui Magician+Moon for modal dialog
- /archetypal-ui Sage+Hermit for blog layout
Generation Process
Step 1: Parse Request
Extract:
- Archetype (e.g., "Hero")
- Card (e.g., "Sun")
- Component type (e.g., "hero section")
Step 2: Retrieve Archetype Patterns
From jungian-archetypes/SKILL.md, extract:
- UI Characteristics
- Typography rules
- Layout principles
- Spacing patterns
- Motion behavior
- Example patterns
Step 3: Retrieve Card Colors
From major-arcana/SKILL.md, extract:
- Primary color
- Secondary color
- Accent color
- Dark shade
- Gradient formula
- Shadow style
- Atmospheric mood
Step 4: Synthesize Design
Combine archetype structure + card colors:
- Apply color palette to archetype patterns
- Enhance mood with card atmosphere
- Ensure cohesive visual language
- Maintain archetypal meaning
Step 5: Generate Component Code
Provide:
- Complete component (HTML + Tailwind CSS)
- Archetype reasoning (why these patterns)
- Color rationale (how card enhances archetype)
- Usage example (in context)
- Variations (alternative approaches)
Output Format
# [Archetype]+[Card] → [Component Type]
## Archetypal Synthesis
**[Archetype] Structure**: [Key characteristics]
**[Card] Colors**: [Palette description]
**Combined Meaning**: [What this fusion represents]
## Component Code
[Full Tailwind component]
## Design Rationale
### Archetype Influence
- [Pattern 1]: [Why it serves the archetype]
- [Pattern 2]: [How it embodies the energy]
### Card Influence
- [Color 1]: [How it enhances the archetype]
- [Mood]: [Atmospheric contribution]
## Usage Example
[Component in realistic context]
## Variations
1. **[Variant name]**: [Brief description + key changes]
2. **[Variant name]**: [Brief description + key 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.
- 8d ago First seen · 251 lines · 46 tokens per session scan A b878e661a291
archetypal-ui is a command published in the GitHub repository HermeticOrmus/LibreUIUX-Claude-Code (101 stars, last pushed 3mo ago), licensed MIT. It adds 46 tokens to every session and 2,452 once invoked, about $0.0002 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.
Other commands, from other repositories
design-qa
Agent-driven design QA — walk the running app, judge design/UX, and drop a Comment-Mode comment on every issue (visible to the human as pins). Then read the session back and fix everything in bulk. Optional focus argument steers the pass.
excalidraw
Create or modify an editable Excalidraw diagram.
diagram-coordinator
Coordinate with agents to generate comprehensive educational diagrams.
diagram-from-file
Generate educational diagram from a source file using Excalidraw.
brand-identity
Guided workflow for creating comprehensive brand identity systems. Walks through discovery, strategy, visual identity, and guidelines creation.
design-audit
Systematic evaluation of existing designs against fundamental principles. Provides actionable feedback rooted in design theory and best practices.