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/ariadoss/superskills/typographynpx skills add ariadoss/superskills --skill typographygit clone --depth 1 https://github.com/ariadoss/superskillsWrote 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/ariadoss/superskills/typography)<a href="https://agentmods.dev/skills/ariadoss/superskills/typography"><img src="https://agentmods.dev/badge/skills/ariadoss/superskills/typography.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 5.1 | $0.00095 | $0.02079 |
| Opus 5 | $0.00048 | $0.01040 |
| Sonnet 5 | $0.00019 | $0.00416 |
| Haiku 4.5 | $0.00010 | $0.00208 |
Grade A, and why
typography 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UI Typography
Professional typographic rules for screen-based interfaces. Based on Matthew Butterick's Practical Typography.
Mode
Enforcement — when generating ANY UI with visible text, apply every rule automatically and silently.
Audit — when reviewing existing code, flag violations.
Font Selection
Font choice is the single biggest signal of whether an interface looks designed or auto-generated. Two filters must both pass: the face must be non-generic (escape the AI monoculture) and it must be open-licensed (free for commercial use). These are independent — many open fonts are also the most overused.
Register first
- Product UI (dashboards, admin panels, tools): system stacks and familiar sans are legitimate. One well-tuned family carries the whole UI. Fixed
remscale, 1.125–1.2 ratio. Don't over-brand a utility. - Brand / marketing / content: the design is the product. Generic type here reads as mediocre. Run the selection procedure below.
Selection procedure (brand register — never skip)
- Voice words. Write three concrete, physical-object brand-voice words — "warm and mechanical and opinionated", not "modern" or "elegant".
- Reject your reflex. List the three fonts you'd reach for first. If any appear on the ban list below, drop them — they're training-data defaults and create monoculture.
- Search by physical object. Browse a real open-license catalog with the voice words in mind. Find the face for the brand as a thing: a 1970s terminal manual, a fabric label, a concert poster, a museum caption. Reject the first thing that "looks designy".
- Cross-check. "Elegant" is not necessarily serif. "Technical" is not necessarily sans. "Warm" is not Fraunces. If the final pick matches your original reflex, start over.
Ban list — overused faces (do not use as primary)
Two waves of monoculture. Reflex-reject all of these:
- Older: Inter, Roboto, Open Sans, Lato, Montserrat, Arial, Helvetica
- Newer (the AI-skill / Vercel / GitHub default wave): Fraunces, Geist, Mona Sans, Plus Jakarta Sans, Space Grotesk / Space Mono, Instrument Sans / Instrument Serif, DM Sans / DM Serif, Outfit, Recoleta, Newsreader, Lora, Crimson, Playfair Display, Cormorant, Syne, IBM Plex (any)
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.
- 6d ago First seen · 199 lines · 95 tokens per session scan A 95c32d79e260
typography is a skill published in the GitHub repository ariadoss/superskills (9 stars, last pushed today), licensed MIT. It adds 95 tokens to every session and 2,079 once invoked, about $0.0005 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 2026-08-31.
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