ai-component-metadata

ai-component-metadata is a skill for Claude Code, Codex from thedesignproject/agent-skills. It costs 51 tokens per session (789 once invoked), scanned A, original, MIT.

A metadata generator for design-system components, which are reusable interface building blocks such as buttons, forms, and menus. It describes their structure, options, states, accessibility details, and typical uses in a format AI tools can read.

In plain words
What is it for?
Use it to analyze component files such as TSX files and create structured metadata covering props, variants, states, composition, accessibility, and common usage patterns.
Why use it?
It gives AI clearer information about how components should be selected and used, reducing incorrect or unsuitable interface generation.

Skill for Claude CodeCodex

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

Good fit Use it to analyze component files such as TSX files and create structured metadata covering props, variants, states, composition, accessibility, and common usage patterns.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/thedesignproject/agent-skills/ai-component-metadata
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 thedesignproject/agent-skills --skill ai-component-metadata
Clone the repo
git clone --depth 1 https://github.com/thedesignproject/agent-skills

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 ai-component-metadata

README.md
[![agentmods](https://agentmods.dev/badge/skills/thedesignproject/agent-skills/ai-component-metadata/github.svg)](https://agentmods.dev/skills/thedesignproject/agent-skills/ai-component-metadata)
Your own site
<a href="https://agentmods.dev/skills/thedesignproject/agent-skills/ai-component-metadata"><img src="https://agentmods.dev/badge/skills/thedesignproject/agent-skills/ai-component-metadata/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 ai-component-metadata

Your own site · 80×15
<a href="https://agentmods.dev/skills/thedesignproject/agent-skills/ai-component-metadata"><img src="https://agentmods.dev/badge/skills/thedesignproject/agent-skills/ai-component-metadata.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 789 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 pass 7 Sept 2026
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00051 $0.00789
Opus 5 $0.00026 $0.00394
Sonnet 5 $0.00010 $0.00158
Haiku 4.5 $0.00005 $0.00079

Measured 9d ago against content hash 9decb3f0a73f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ai-component-metadata 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 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/generate_metadata.py), 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

Copies of this mod

1 near-identical copy found in the catalogue:

skills/ai-component-metadata/SKILL.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Component Metadata Generator

Generate structured, AI-consumable metadata for design system components to enable intelligent UI generation and component usage.

Quick Start

When analyzing a component, use the metadata schema template in scripts/generate_metadata.py or follow the manual process below:

# Automatic generation (reads component file)
python scripts/generate_metadata.py path/to/Component.tsx

# Or use the template directly
cp assets/metadata-template.tsx your-component-metadata.tsx

Core Workflow

1. Analyze Component Structure

Identify:

  • Component composition (slots, children)
  • Available variants and states
  • Props and their types
  • Accessibility attributes

2. Generate Metadata

Create metadata following this schema:

export const componentMetadata = {
  component: {
    name: "ComponentName",
    category: "atoms|molecules|organisms",
    description: "Brief description",
    type: "interactive|display|container|input|navigation"
  },
  
  usage: {
    useCases: ["primary-use", "secondary-use"],
    requiredProps: [],
    commonPatterns: [
      {
        name: "pattern-name",
        description: "When to use",
        composition: "JSX example"
      }
    ],
    antiPatterns: [
      {
        scenario: "what-not-to-do",
        reason: "why",
        alternative: "what-instead"
      }
    ]
  },
  
  composition: {
    slots: {},
    nestedComponents: [],
    commonPartners: [],
    parentConstraints: []
  },
  
  behavior: {
    states: [],
    interactions: {},
    responsive: {}
  },
  
  accessibility: {
    role: "ARIA role",
    keyboardSupport: "description",
    screenReader: "behavior",
    focusManagement: "strategy",
    wcag: "AA"
  },
  
  aiHints: {
    priority: "high|medium|low",
    keywords: [],
    context: "when to use"
  }
}

3. Validate Metadata

  • Test with AI generation tasks
  • Verify in Storybook
  • Ensure examples are runnable

Component Categories

  • atoms: Basic building blocks (Button, Text, Input)
  • molecules: Simple combinations (Card, Chip, FormField)
  • organisms: Complex components (Header, Table, Form)

Read the full file on GitHub · 138 lines

Files

What ships with it

7 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. 9d ago First seen · 138 lines · 51 tokens per session scan A 9decb3f0a73f

Subscribe to this mod's changes

ai-component-metadata is a skill published in the GitHub repository thedesignproject/agent-skills (86 stars, last pushed 14d ago), licensed MIT. It adds 51 tokens to every session and 789 once invoked, about $0.0003 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

webgl-holographic-foil

A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.

nexu-io/open-design · 41 tokens

html-ppt-hermes-cyber-terminal

OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.

nexu-io/open-design · 53 tokens

html-ppt-taste-brutalist

16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).

nexu-io/open-design · 78 tokens

visual-ralph

Visual Ralph orchestration for frontend UI from generated references, static references, or live URL targets, using $ralph with built-in visual verdict and pixel-diff evidence until the implementation matches and leaves a reproducible design system.

Yeachan-Heo/oh-my-codex · 50 tokens

accessibility

Consolidated accessibility skill entrypoint for WCAG 2.2, ARIA Authoring Practices, cognitive accessibility, Section 508, EN 301 549, design intent verification, and the Accessibility Planner workflow.

microsoft/hve-core · 47 tokens

make-resume

A Chinese-language tool for creating editable HTML resumes that can be changed in a browser and printed to PDF. It uses available resume templates when they are installed and otherwise provides a simpler fallback.

Hisn00w/ASu-skills · 86 tokens