Borrowing it
Nothing to install: this file belongs to FavioVazquez/learnship. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/FavioVazquez/learnship/main/.windsurf/skills/impeccable/typeset/SKILL.mdgit 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/typeset)<a href="https://agentmods.dev/skills/faviovazquez/learnship/typeset"><img src="https://agentmods.dev/badge/skills/faviovazquez/learnship/typeset/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.
<a href="https://agentmods.dev/skills/faviovazquez/learnship/typeset"><img src="https://agentmods.dev/badge/skills/faviovazquez/learnship/typeset.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00027 | $0.01315 |
| Opus 5.5 | $0.00011 | $0.00526 |
| Sonnet 5.5 | $0.00005 | $0.00263 |
| Haiku 4.5 | $0.00003 | $0.00131 |
Grade A, and why
typeset 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 1mo 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
91% identical to typeset — 13 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Assess and improve typography that feels generic, inconsistent, or poorly structured — turning default-looking text into intentional, well-crafted type.
MANDATORY PREPARATION
Use the frontend-design skill — it contains design principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no design context exists yet, you MUST run teach-impeccable first.
Assess Current Typography
Analyze what's weak or generic about the current type:
-
Font choices:
- Are we using invisible defaults? (Inter, Roboto, Arial, Open Sans, system defaults)
- Does the font match the brand personality? (A playful brand shouldn't use a corporate typeface)
- Are there too many font families? (More than 2-3 is almost always a mess)
-
Hierarchy:
- Can you tell headings from body from captions at a glance?
- Are font sizes too close together? (14px, 15px, 16px = muddy hierarchy)
- Are weight contrasts strong enough? (Medium vs Regular is barely visible)
-
Sizing & scale:
- Is there a consistent type scale, or are sizes arbitrary?
- Does body text meet minimum readability? (16px+)
- Is the sizing strategy appropriate for the context? (Fixed
remscales for app UIs; fluidclamp()for marketing/content page headings)
-
Readability:
- Are line lengths comfortable? (45-75 characters ideal)
- Is line-height appropriate for the font and context?
- Is there enough contrast between text and background?
-
Consistency:
- Are the same elements styled the same way throughout?
- Are font weights used consistently? (Not bold in one section, semibold in another for the same role)
- Is letter-spacing intentional or default everywhere?
CRITICAL: The goal isn't to make text "fancier" — it's to make it clearer, more readable, and more intentional. Good typography is invisible; bad typography is distracting.
Plan Typography Improvements
Consult the typography reference from the frontend-design skill for detailed guidance on scales, pairing, and loading strategies.
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.
- 1mo ago First seen · 119 lines · 27 tokens per session scan A bacc8a8ee0fe
typeset is a skill published in the GitHub repository FavioVazquez/learnship (61 stars, last pushed 4mo ago), licensed MIT. It adds 27 tokens to every session and 1,315 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to typeset, differing in 13 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…
brand-landingpage
Brand-first landing page designer — runs a brand-identity interview (colors, typography, shape language), then generates and iterates on a polished landing page via Stitch with deployment-ready HTML. Use when the user asks to create, design, or build a landing page, homepage, or marketing page and has no established…
wcag-audit-patterns
Conduct WCAG 2.2 accessibility audits with automated testing, manual verification, and remediation guidance. Use when auditing websites for accessibility, fixing WCAG violations, or implementing accessible design patterns.
app-store-screenshots
Use when building App Store or Google Play screenshot pages, generating exportable marketing screenshots for iOS, macOS, and/or Android apps, or scaffolding a screenshot editor with Next.js. Triggers on app store, mac app store, play store, screenshots, marketing assets, html-to-image, phone mockup, mac mockup…