Borrowing it
Nothing to install: this file belongs to ReScienceLab/TrySkills. 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/ReScienceLab/TrySkills/main/.agents/skills/typeset/SKILL.mdgit clone --depth 1 https://github.com/ReScienceLab/TrySkillsWrote 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/resciencelab/tryskills/typeset)<a href="https://agentmods.dev/skills/resciencelab/tryskills/typeset"><img src="https://agentmods.dev/badge/skills/resciencelab/tryskills/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/resciencelab/tryskills/typeset"><img src="https://agentmods.dev/badge/skills/resciencelab/tryskills/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 | $0.00050 | $0.01325 |
| Opus 5.5 | $0.00020 | $0.00530 |
| Sonnet 5.5 | $0.00010 | $0.00265 |
| Haiku 4.5 | $0.00005 | $0.00133 |
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
98% identical to typeset — 10 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 — 116 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
Invoke /impeccable — 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 /impeccable teach 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 impeccable 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 · 116 lines · 50 tokens per session scan A 5668819ccd89
typeset is a skill published in the GitHub repository ReScienceLab/TrySkills (3 stars, last pushed 5mo ago), licensed MIT. It adds 50 tokens to every session and 1,325 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to typeset, differing in 10 lines, and is treated as a copy.
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