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.
npx agentmods add skills/faviovazquez/learnship/extractnpx skills add FavioVazquez/learnship --skill extractgit clone --depth 1 https://github.com/FavioVazquez/learnshipWrote 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.
[](https://agentmods.dev/skills/faviovazquez/learnship/extract)<a href="https://agentmods.dev/skills/faviovazquez/learnship/extract"><img src="https://agentmods.dev/badge/skills/faviovazquez/learnship/extract.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00031 | $0.00785 |
| Opus 5 | $0.00015 | $0.00392 |
| Sonnet 5 | $0.00006 | $0.00157 |
| Haiku 4.5 | $0.00003 | $0.00078 |
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.
This is a copy
88% identical to extract — 9 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.
How it starts
The opening of the file, as written. The whole thing — 96 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:
-
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.
-
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
-
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:
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.
- 4d ago First seen · 96 lines · 31 tokens per session scan A 9e47fa5ef6be
extract is a skill published in the GitHub repository FavioVazquez/learnship (59 stars, last pushed 3mo ago), licensed MIT. It adds 31 tokens to every session and 785 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to extract, differing in 9 lines, and is treated as a copy.
Other skills, from other repositories
anti-slop-design
Category-aware design skill that builds distinctive, production-grade UIs. Brand-vs-product register, color strategy commitment, scene-based theme choice, palettes, font pairings, UX patterns, shadcn/token integration, empty-error-loading copy, secondary slop signals, multimodal design parity from mocks, and a…
3d-web-experiences
Build distinctive, performant, production-grade 3D on the web with Three.js, React Three Fiber, and WebGL. Use when the user asks to "build a 3D scene", "add a 3D hero/landing", "make a product viewer/configurator", mentions three.js / react-three-fiber / r3f / drei / webgl / shaders, or asks to make an existing 3D…
minimax-m3-multimodal-input
How to use MiniMax M3's native multimodal input (image, video) for grounded decisions in coding work. Covers reading attached images/frames, treating them as ground truth for visual claims, screenshot diffing, design parity from mockups, and routing visual evidence through reports and PRs. Load when the user attaches…
html-prototype-design
End-to-end workflow for building and iterating single-file HTML product prototypes—wizard flows, async waiting pages, modals, footer state machine, demo toggles, business annotations, and visual polish via ui-ux-pro-max. Use when creating or refining HTML prototypes, 单页原型, wireframe落地, 步骤条, 等待页, 弹窗原型, 原型美化, or…
html-prototype-annotations
Adds numbered orange markers and a right-side annotation panel to single-file HTML prototypes for business review. Use when the user asks for 功能标注、原型标注、标注说明、annotation panel、proto markers, or wants reviewers to align UI with requirements without opening devtools.
commercial-industrial-designer
Use when a task needs the judgment of a Commercial/Industrial Designer — designing the form, ergonomics, and manufacturability of a physical product, choosing between manufacturing processes at a given volume, selecting materials/finishes under a cost or durability constraint, or planning a prototyping sequence before…