typeset

typeset is a skill for Claude Code, Codex from lanesket/llm.log. It costs 27 tokens per session (1,312 once invoked), scanned A, a copy of typeset, MIT.

A design review step focused on typography: the fonts, text sizes, weights, hierarchy, and spacing that determine how readable and structured an interface feels.

In plain words
What is it for?
Use it to choose more suitable fonts, create a clear heading-to-body hierarchy, set consistent sizes and weights, and improve readability.
Why use it?
It fixes generic or inconsistent text styling that makes a product look unfinished or makes information harder to scan.

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/lanesket/llm.log/typeset
Any agent
npx skills add lanesket/llm.log --skill typeset
Clone the repo
git clone --depth 1 https://github.com/lanesket/llm.log

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 typeset

README.md
[![agentmods](https://agentmods.dev/badge/skills/lanesket/llm.log/typeset.svg)](https://agentmods.dev/skills/lanesket/llm.log/typeset)
Your own site
<a href="https://agentmods.dev/skills/lanesket/llm.log/typeset"><img src="https://agentmods.dev/badge/skills/lanesket/llm.log/typeset.svg" alt="Measured on agentmods" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,312 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 89% 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 $0.00027 $0.01312
Opus 5 $0.00014 $0.00656
Sonnet 5 $0.00005 $0.00262
Haiku 4.5 $0.00003 $0.00131

Measured 5d ago against content hash 19cab155e2d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 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

89% identical to typeset — 12 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.

.agents/skills/typeset/SKILL.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 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:

  1. 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)
  2. 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)
  3. 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 rem scales for app UIs; fluid clamp() for marketing/content page headings)
  4. 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?
  5. 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.

Read the full file on GitHub · 118 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 · 118 lines · 27 tokens per session scan A 19cab155e2d7

Subscribe to this mod's changes

typeset is a skill published in the GitHub repository lanesket/llm.log (22 stars, last pushed 5mo ago), licensed MIT. It adds 27 tokens to every session and 1,312 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to typeset, differing in 12 lines, and is treated as a copy.

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