extract

extract is a skill for Claude Code, Codex from moodler/liz-tracker. It costs 55 tokens per session (787 once invoked), scanned A, original, GPL-3.0.

A guide for turning repeated interface pieces, shared design values, and common patterns into reusable parts of a design system.

In plain words
What is it for?
Use it to create components, extract spacing or colour tokens, refactor repeated UI, or expand a component library.
Why use it?
It reduces duplicated work and helps similar parts of an interface stay consistent.

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/moodler/liz-tracker/extract
Any agent
npx skills add moodler/liz-tracker --skill extract
Clone the repo
git clone --depth 1 https://github.com/moodler/liz-tracker

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/moodler/liz-tracker/extract.svg)](https://agentmods.dev/skills/moodler/liz-tracker/extract)
Your own site
<a href="https://agentmods.dev/skills/moodler/liz-tracker/extract"><img src="https://agentmods.dev/badge/skills/moodler/liz-tracker/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 787 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00055 $0.00787
Opus 5 $0.00028 $0.00394
Sonnet 5 $0.00011 $0.00157
Haiku 4.5 $0.00006 $0.00079

Measured 4d ago against content hash b3c65112289c, 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 4d 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.

.agents/skills/extract/SKILL.md · 91 lines

The source is not reproduced here

Licensed GPL-3.0

The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 4d ago First seen · 91 lines · 55 tokens per session scan A b3c65112289c

Subscribe to this mod's changes

extract is a skill published in the GitHub repository moodler/liz-tracker (11 stars, last pushed yesterday), licensed GPL-3.0. It adds 55 tokens to every session and 787 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.

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