theme-system

theme-system is a skill for Claude Code, Codex from BlackBeltTechnology/pi-agent-dashboard. It costs 48 tokens per session (2,580 once invoked), scanned A, original, MIT.

A CSS theme system with four named themes—studio, earth, athlete, and gradient—and components that respond to the selected theme.

In plain words
What is it for?
Use it when adding theme switching, defining color schemes, or building components that must adapt to the active theme.
Why use it?
It keeps colors and related visual choices in one structure, making theme changes consistent across the interface.

Skill for Claude CodeCodex

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

Good fit Use it when adding theme switching, defining color schemes, or building components…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/blackbelttechnology/pi-agent-dashboard/theme-system
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 BlackBeltTechnology/pi-agent-dashboard --skill theme-system
Clone the repo
git clone --depth 1 https://github.com/BlackBeltTechnology/pi-agent-dashboard

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 theme-system

README.md
[![agentmods](https://agentmods.dev/badge/skills/blackbelttechnology/pi-agent-dashboard/theme-system.svg)](https://agentmods.dev/skills/blackbelttechnology/pi-agent-dashboard/theme-system)
Your own site
<a href="https://agentmods.dev/skills/blackbelttechnology/pi-agent-dashboard/theme-system"><img src="https://agentmods.dev/badge/skills/blackbelttechnology/pi-agent-dashboard/theme-system.svg" alt="Measured on agentmods" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,580 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 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.02580
Opus 5 $0.00024 $0.01290
Sonnet 5 $0.00010 $0.00516
Haiku 4.5 $0.00005 $0.00258

Measured 7d ago against content hash 2ac08e5fbbbd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

theme-system 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 7d 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.

.pi/skills/theme-system/SKILL.md · 342 lines

How it starts

The opening of the file, as written. The whole thing — 342 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Theme System

Theme Definitions

/* app/globals.css */
@tailwind base;
@tailwind components;
@tailwind utilities;

@layer base {
  :root {
    /* Default: Studio theme */
    --background: 0 0% 100%;
    --foreground: 0 0% 3.9%;
    --card: 0 0% 100%;
    --card-foreground: 0 0% 3.9%;
    --popover: 0 0% 100%;
    --popover-foreground: 0 0% 3.9%;
    --primary: 0 0% 9%;
    --primary-foreground: 0 0% 98%;
    --secondary: 0 0% 96.1%;
    --secondary-foreground: 0 0% 9%;
    --muted: 0 0% 96.1%;
    --muted-foreground: 0 0% 45.1%;
    --accent: 0 0% 96.1%;
    --accent-foreground: 0 0% 9%;
    --destructive: 0 84.2% 60.2%;
    --destructive-foreground: 0 0% 98%;
    --border: 0 0% 89.8%;
    --input: 0 0% 89.8%;
    --ring: 0 0% 3.9%;
    --radius: 0.5rem;
  }

  /* Theme: Earth - Soft organic warmth */
  [data-theme="earth"] {
    --background: 40 33% 98%;
    --foreground: 30 10% 15%;
    --card: 40 30% 97%;
    --card-foreground: 30 10% 15%;
    --primary: 30 30% 35%;
    --primary-foreground: 40 30% 98%;
    --secondary: 35 25% 92%;
    --secondary-foreground: 30 20% 25%;
    --muted: 35 20% 93%;
    --muted-foreground: 30 10% 40%;
    --accent: 35 30% 88%;
    --accent-foreground: 30 20% 20%;
    --border: 35 20% 85%;
    --input: 35 20% 88%;
    --ring: 30 30% 35%;
  }

  /* Theme: Studio - Clean minimal */
  [data-theme="studio"] {
    --background: 0 0% 100%;
    --foreground: 0 0% 5%;
    --card: 0 0% 100%;
    --card-foreground: 0 0% 5%;
    --primary: 0 0% 8%;
    --primary-foreground: 0 0% 100%;
    --secondary: 0 0% 97%;
    --secondary-foreground: 0 0% 10%;
    --muted: 0 0% 96%;
    --muted-foreground: 0 0% 40%;
    --accent: 0 0% 95%;
    --accent-foreground: 0 0% 10%;
    --border: 0 0% 92%;
    --input: 0 0% 94%;
    --ring: 0 0% 8%;
  }

  /* Theme: Athlete - Bold with purple accent */
  [data-theme="athlete"] {
    --background: 0 0% 99%;
    --foreground: 270 5% 10%;
    --card: 0 0% 100%;
    --card-foreground: 270 5% 10%;
    --primary: 270 60% 50%;
    --primary-foreground: 0 0% 100%;
    --secondary: 270 20% 95%;
    --secondary-foreground: 270 30% 25%;
    --muted: 270 10% 94%;
    --muted-foreground: 270 5% 40%;
    --accent: 270 40% 92%;
    --accent-foreground: 270 40% 30%;
    --border: 270 10% 88%;
    --input: 270 10% 90%;
    --ring: 270 60% 50%;
  }

  /* Theme: Gradient - Soft gradient hero */
  [data-theme="gradient"] {
    --background: 220 30% 99%;
    --foreground: 220 10% 10%;
    --card: 0 0% 100%;
    --card-foreground: 220 10% 10%;
    --primary: 220 80% 55%;
    --primary-foreground: 0 0% 100%;
    --secondary: 280 30% 95%;
    --secondary-foreground: 220 20% 20%;
    --muted: 220 20% 95%;
    --muted-foreground: 220 10% 40%;
    --accent: 280 40% 93%;
    --accent-foreground: 280 30% 25%;
    --border: 220 15% 90%;
    --input: 220 15% 92%;
    --ring: 220 80% 55%;
    
    /* Gradient-specific variables */
    --gradient-start: 220 80% 60%;
    --gradient-end: 280 60% 65%;
  }
}

Read the full file on GitHub · 342 lines

Files

What ships with it

2 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. 7d ago First seen · 342 lines · 48 tokens per session scan A 2ac08e5fbbbd

Subscribe to this mod's changes

theme-system is a skill published in the GitHub repository BlackBeltTechnology/pi-agent-dashboard (274 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 2,580 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.

Related

Other skills, from other repositories

adaptive-interfaces

Use when designing for user preferences — motion sensitivity, contrast needs, colour schemes, text sizing, information density, or any interface behaviour that should adapt to individual needs.

Owl-Listener/designpowers · 36 tokens

responsive-patterns

Use when designing complex responsive layouts — breakpoint strategy, layout shifts, content reflow, responsive typography, container queries, and ensuring the experience works across the full device spectrum.

Owl-Listener/designpowers · 37 tokens

token-architecture

Use when building or restructuring design token systems — global tokens, semantic tokens, component tokens, naming conventions, theming, and multi-platform token distribution.

Owl-Listener/designpowers · 33 tokens

rn-best-practices

This skill should be used when writing or reviewing React Native / Expo code — before writing list rendering, animations, data fetching, component APIs, navigation, or image/media UI — and when asked to "review best practices", "check performance", "optimize renders", "review list rendering", "check animation…

Lykhoyda/rn-dev-agent · 98 tokens

ui-composition

Use when building layouts, choosing colours, setting typography, establishing visual hierarchy, designing responsive behaviour, or making any visual design decision — ensures every visual choice serves both aesthetics and accessibility.

Owl-Listener/designpowers · 39 tokens

css

Skill "css" from dhaupin/vant, covering css, when to use, what to do, 1. syntax and 2. properties.

dhaupin/vant · 6 tokens