extract

extract is a skill for Claude Code, Codex from qinye6/pi-ccg. It costs 55 tokens per session (788 once invoked), scanned A, a copy of extract, MIT.

A design-system cleanup helper that turns repeated interface patterns, shared values, and reusable parts into organized components and design tokens.

In plain words
What is it for?
It is for finding repeated components, hard-coded colors or spacing, and variations that could be consolidated into a shared component library.
Why use it?
It reduces duplicated implementations and inconsistent styles when the same interface idea appears in several places.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/qinye6/pi-ccg/extract
Any agent
npx skills add qinye6/pi-ccg --skill extract
Clone the repo
git clone --depth 1 https://github.com/qinye6/pi-ccg

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 extract

README.md
[![agentmods](https://agentmods.dev/badge/skills/qinye6/pi-ccg/extract.svg)](https://agentmods.dev/skills/qinye6/pi-ccg/extract)
Your own site
<a href="https://agentmods.dev/skills/qinye6/pi-ccg/extract"><img src="https://agentmods.dev/badge/skills/qinye6/pi-ccg/extract.svg" alt="Measured on agentmods" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 788 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 95% copy Near-identical to another mod 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 $0.00055 $0.00788
Opus 5 $0.00028 $0.00394
Sonnet 5 $0.00011 $0.00158
Haiku 4.5 $0.00006 $0.00079

Measured 5d ago against content hash b9565876dad1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

extract 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 5d 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

This is a copy

95% identical to extract — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

templates/skills/impeccable/extract/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Identify reusable patterns, components, and design tokens, then extract and consolidate them into the design system for systematic reuse.

Discover

Analyze the target area to identify extraction opportunities:

  1. Find the design system: Locate your design system, component library, or shared UI directory (grep for "design system", "ui", "components", etc.). Understand its structure:

    • Component organization and naming conventions
    • Design token structure (if any)
    • Documentation patterns
    • Import/export conventions

    CRITICAL: If no design system exists, ask before creating one. Understand the preferred location and structure first.

  2. Identify patterns: Look for:

    • Repeated components: Similar UI patterns used multiple times (buttons, cards, inputs, etc.)
    • Hard-coded values: Colors, spacing, typography, shadows that should be tokens
    • Inconsistent variations: Multiple implementations of the same concept (3 different button styles)
    • Reusable patterns: Layout patterns, composition patterns, interaction patterns worth systematizing
  3. Assess value: Not everything should be extracted. Consider:

    • Is this used 3+ times, or likely to be reused?
    • Would systematizing this improve consistency?
    • Is this a general pattern or context-specific?
    • What's the maintenance cost vs benefit?

Plan Extraction

Create a systematic extraction plan:

  • Components to extract: Which UI elements become reusable components?
  • Tokens to create: Which hard-coded values become design tokens?
  • Variants to support: What variations does each component need?
  • Naming conventions: Component names, token names, prop names that match existing patterns
  • Migration path: How to refactor existing uses to consume the new shared versions

IMPORTANT: Design systems grow incrementally. Extract what's clearly reusable now, not everything that might someday be reusable.

Extract & Enrich

Build improved, reusable versions:

Read the full file on GitHub · 93 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. 5d ago First seen · 93 lines · 55 tokens per session scan A b9565876dad1

Subscribe to this mod's changes

extract is a skill published in the GitHub repository qinye6/pi-ccg (10 stars, last pushed 11d ago), licensed MIT. It adds 55 tokens to every session and 788 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to extract, differing in 2 lines, and is treated as a copy.

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