component

component is a skill for Claude Code, Codex from Maximepodgorski/agent-skills. It costs 113 tokens per session (2,530 once invoked), scanned A, original, MIT.

A workflow for designing, documenting, implementing, reviewing, and auditing design-system components, with Figma as an optional design source. A design system is a shared set of UI parts and visual rules.

In plain words
What is it for?
Use it to create component specifications and documentation, implement components, review them, or audit an existing component.
Why use it?
It gives component work a repeatable path and checks that new code follows the existing system.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for aider. Also seen: mentions CLAUDE.md; mentions subagents; mentions Claude Code.

Good fit Use it to create component specifications and documentation, implement components, review them, or audit an existing component.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/maximepodgorski/agent-skills/component"><img src="https://agentmods.dev/badge/skills/maximepodgorski/agent-skills/component.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 113 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,530 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 $0.00113 $0.02530
Opus 5.5 $0.00045 $0.01012
Sonnet 5.5 $0.00023 $0.00506
Haiku 4.5 $0.00011 $0.00253

Measured 2mo ago against content hash e6914d12c143, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

component 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 2mo 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • component — 88% identical, 26 lines differ
component/SKILL.md · 245 lines

How it starts

The opening of the file, as written. The whole thing — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Component

Design system component workflow. Figma to production, DS-compliant.

Agent Capabilities

Capability Used For Required Fallback
File read/write Specs, docs, audit reports Yes —
Code search (grep/glob) Token scan, pattern discovery, codebase conventions Yes —
Shell/command execution Quality gates (lint, typecheck) Recommended List commands for user to run
Task/todo tracking Ship loop progress Recommended Track in spec Progress section
User interaction Token creation approval, stuck escalation Yes —
Figma MCP Design context extraction (code, screenshot, hints) Recommended User provides spec manually

Fallback rule: If Figma MCP is unavailable, the skill works from text input and codebase analysis. Warn the user and proceed.

Actions

Action Input Output Reference
spec {name} [figma-link] Component name + optional Figma link Spec in ds/specs/active/ spec.md
doc {path|name} File path or component name doc.md co-located in component folder doc.md
ship {name} [figma-link] Component name + optional Figma link Implemented component (subagent or inline execution) ship.md
review {path|figma-link} File path or Figma link DS compliance report review.md
spec-review {spec-path|name} Spec path or component name Multi-perspective spec review spec-review.md
audit {path|figma-link} Directory path or Figma link Report in ds/audits/active/ audit.md

Flow

Recommended (new component):
  spec → spec-review → doc → ship → review

Quick (simple component):
  ship {name} [figma-link]

Maintenance (existing component):
  review {path}    or    doc {path}

Spec validation:
  spec-review {spec-path}

System-wide:
  audit {directory}    or    audit {figma-link}

Read the full file on GitHub · 245 lines

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. 2mo ago First seen · 245 lines · 113 tokens per session scan A e6914d12c143

Subscribe to this mod's changes

component is a skill published in the GitHub repository Maximepodgorski/agent-skills (22 stars, last pushed 6mo ago), licensed MIT. It adds 113 tokens to every session and 2,530 once invoked, about $0.0005 per session on Opus 5.5. 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 $ultragoal with built-in visual verdict and pixel-diff evidence until the implementation matches and leaves a reproducible design system.

Yeachan-Heo/oh-my-codex · 52 tokens

glance-canonical-layouts

Use this skill to create home screen widgets using Jetpack Glance Canonical Layouts from the Android Platform Samples project, or when asked to implement standard widget layout patterns (including Check List, Image Grid, Snap Scrolling, and Standard Toolbar).

android/skills · 56 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