Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/oyi77/1ai-skillsnpx agentmods add skills/oyi77/1ai-skills/hallmarkWrote 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/oyi77/1ai-skills/hallmark)<a href="https://agentmods.dev/skills/oyi77/1ai-skills/hallmark"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/hallmark/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/oyi77/1ai-skills/hallmark"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/hallmark.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 | $0.00060 | $0.05154 |
| Opus 5.5 | $0.00024 | $0.02062 |
| Sonnet 5.5 | $0.00012 | $0.01031 |
| Haiku 4.5 | $0.00006 | $0.00515 |
Grade A, and why
hallmark 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 today.
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 — 390 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hallmark — Anti-AI-Slop Web Design Engine
Hallmark is an anti-AI-slop design system created by Nutlope and Together AI for Claude Code, Cursor, Codex, and autonomous web engineering agents. It enforces a strict, non-waivable floor against machine-generated defaults, provides a catalog of forty-eight material themes across four genres, aligns layout anatomy to user jobs, and validates rendered output through automated sloplint verification and fresh-context reviews.
Overview
AI-generated web interfaces suffer from recognizable algorithmic tropes: purple-to-blue linear gradients, tracked-capital labels, eyebrows stacked above headings, three identical feature cards, cards nested inside cards, middle-dot punctuation (A · B · C), arrows glued to button copy (Get Started →), unearned floating blur orbs, and fabricated metrics.
Hallmark halts these defaults. It treats design as material selection rather than decorative templating:
- The Floor: Non-waivable baseline rules governing color tokens, typography scales, accessibility, viewport boundaries, and layout integrity.
- Job-Driven Anatomy: Pages built around their primary functional purpose (a booking page books, a SaaS console operates, a publication reads).
- Material Themes: 48 distinct palettes, typography hierarchies, and surface textures categorized into Modern Minimal, Editorial, Atmospheric, and Playful genres.
- Multi-Width Viewport Discipline: Specific constraints across 320px, 375px, 1280px, 1440px, and 1920px viewports with an 80-word visual budget per screen.
- Sloplint & Verification: Static and rendered linting catching visual clichés, coupled with cold-context subagent reviews.
Companion Design Framework: Impeccable
For a full-lifecycle design operating system with a 24-verb command vocabulary (shape, init, critique, audit, polish, bolder, quieter, distill, harden) and dual-truth separation (PRODUCT.md for business intent, DESIGN.md for visual tokens), pair this skill with impeccable. Hallmark enforces the uncompromising material refusal floor; Impeccable coordinates the complete UX shaping and refinement lifecycle.
What ships with it
60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 386 B
- LICENSE 1.1 KB
- references/anatomy.md 6.9 KB
- references/brand-truth.md 3.6 KB
- references/comp.md 7.5 KB
- references/craft.md 19 KB
- references/dark-mode.md 3.8 KB
- references/data-viz.md 3.3 KB
- references/design-md.md 3.0 KB
- references/direction.md 7.3 KB
- references/export-formats.md 6.1 KB
- references/flow.md 16 KB
- references/fonts.md 5.2 KB
- references/gates.md 38 KB
- references/genres/atmospheric.md 1.6 KB
- references/genres/editorial.md 1.3 KB
- references/genres/modern-minimal.md 1.5 KB
- references/genres/playful.md 1.6 KB
- references/imagery.md 14 KB
- references/interaction-and-states.md 5.9 KB
- references/layout.md 16 KB
- references/macrostructures.md 14 KB
- references/macrostructures/01-bento-grid.md 1.5 KB
- references/macrostructures/02-long-document.md 1.8 KB
- references/macrostructures/03-marquee-hero.md 1.6 KB
- references/macrostructures/04-stat-led.md 1.9 KB
- references/macrostructures/05-workbench.md 1.6 KB
- references/macrostructures/06-conversational-faq.md 1.5 KB
- references/macrostructures/07-manifesto.md 1.9 KB
- references/macrostructures/08-photographic.md 1.5 KB
- references/macrostructures/09-quote-led.md 1.6 KB
- references/macrostructures/10-specimen.md 1.5 KB
- references/macrostructures/11-catalogue.md 1.5 KB
- references/macrostructures/12-letter.md 1.3 KB
- references/macrostructures/13-index-first.md 1.2 KB
- references/macrostructures/14-narrative-workflow.md 2.0 KB
- references/macrostructures/15-split-studio.md 1.4 KB
- references/macrostructures/16-feature-stack.md 1.7 KB
- references/macrostructures/17-type-specimen.md 1.2 KB
- references/macrostructures/18-portfolio-grid.md 1.1 KB
- references/macrostructures/19-map-diagram.md 1.5 KB
- references/macrostructures/20-ecosystem-index.md 1.3 KB
- references/macrostructures/21-component-playground.md 1.3 KB
- references/microinteractions.md 6.3 KB
- references/patterns.md 11 KB
- references/redesign.md 12 KB
- references/responsive.md 3.4 KB
- references/review-finish.md 3.8 KB
- references/review-hero.md 2.5 KB
- references/scroll-choreography.md 6.0 KB
- references/texture.md 5.9 KB
- references/themes/almanac.jpg 98 KB
- references/themes/almanac.md 7.3 KB
- references/themes/arcade.jpg 99 KB
- references/themes/arcade.md 7.3 KB
- references/themes/atelier.jpg 90 KB
- references/themes/atelier.md 7.7 KB
- references/themes/bloom.jpg 81 KB
- references/themes/bloom.md 7.8 KB
- references/themes/blueprint.jpg 99 KB
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.
- today First seen · 390 lines · 60 tokens per session scan A 35654908746d
hallmark is a skill published in the GitHub repository oyi77/1ai-skills (17 stars, last pushed today), licensed MIT. It adds 60 tokens to every session and 5,154 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-26.
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