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/event4u-app/agent-confignpx agentmods add skills/event4u-app/agent-config/design-intelligenceWrote 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/event4u-app/agent-config/design-intelligence)<a href="https://agentmods.dev/skills/event4u-app/agent-config/design-intelligence"><img src="https://agentmods.dev/badge/skills/event4u-app/agent-config/design-intelligence.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 | $0.00047 | $0.02652 |
| Opus 5 | $0.00023 | $0.01326 |
| Sonnet 5 | $0.00009 | $0.00530 |
| Haiku 4.5 | $0.00005 | $0.00265 |
Grade A, and why
design-intelligence 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 3d 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 — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
design-intelligence
The grounded source for frontend design decisions (ADR-061; first consumer of
corpus-grounding). When the UI directive set'sdesignstep emits@agent-directive: ui-design-brief, consult this corpus FIRST and pre-fill the brief candidates — then the human confirms (design_confirmed). Corpus output is a constraint set, never final microcopy; the placeholder lock indirectives/ui/design.tsis unaffected.Boundary (council-locked):
design.tsstays a pure orchestration gate and never imports the engine — the corpus call lives HERE, in the skill layer, keeping the engine an optional dependency.
Corpus: 11 tabular CSVs under data/ (161-row ui-reasoning
decision map, WCAG-adjusted color token sets, 84 styles, 73 font
pairings, 25 chart rules, UX/react/mobile guidelines) + 16 prose
design-language specs (references/design-languages.md)
- the 10-category pre-delivery checklist
(
references/design-rules-checklist.md). Provenance + licenses:ATTRIBUTION.md; manifest:data/manifest.json.
When to use
- The UI directive set emits
@agent-directive: ui-design-brief(the design step foundstate.ui_designempty). - Any pre-build selection question: which style / palette / font pairing / layout pattern / chart type / icon system fits this product.
- Stack-idiom lookup before writing UI code (
--stackaxis).
Section index — load on demand
Load the reference file whose sections the task needs — never all of them by default:
references/context-and-registers.md— Cross-task design memory — read DESIGN.md / PRODUCT.md first · Register — brand vs product · Design Read — articulate intent before generatingreferences/integration-mapping.md—MASTER.md+ page overrides ↔state.ui_design(mapping) · Grounding the review/polish a11y gate (charts + contrast) · Stack guidance (--stackaxis) · Diagram-type routing — route on the verb · Interplay (who owns what)
What ships with it
53 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.
- ATTRIBUTION.md 3.5 KB
- data/app-interface.csv 9.5 KB
- data/charts.csv 19 KB
- data/colors.csv 32 KB
- data/design-languages/academia.txt 6.4 KB
- data/design-languages/bauhaus.txt 9.0 KB
- data/design-languages/bold-typography.txt 6.0 KB
- data/design-languages/claymorphism.txt 4.9 KB
- data/design-languages/cyberpunk.txt 10 KB
- data/design-languages/enterprise.txt 7.7 KB
- data/design-languages/flat-design.txt 4.9 KB
- data/design-languages/kinetic.txt 5.6 KB
- data/design-languages/material-design.txt 5.5 KB
- data/design-languages/modern-dark.txt 5.7 KB
- data/design-languages/monochrome.txt 10 KB
- data/design-languages/neo-brutalism.txt 5.4 KB
- data/design-languages/neumorphism.txt 4.7 KB
- data/design-languages/saas.txt 5.3 KB
- data/design-languages/sketch.txt 6.4 KB
- data/design-languages/terminal.txt 5.0 KB
- data/font-pairings-reference.csv 51 KB
- data/icons.csv 20 KB
- data/landing.csv 17 KB
- data/manifest.json 11 KB
- data/motion.csv 10 KB
- data/products.csv 57 KB
- data/react-performance.csv 14 KB
- data/stacks/angular.csv 18 KB
- data/stacks/astro.csv 12 KB
- data/stacks/flutter.csv 10 KB
- data/stacks/html-tailwind.csv 11 KB
- data/stacks/jetpack-compose.csv 8.0 KB
- data/stacks/laravel.csv 18 KB
- data/stacks/nextjs.csv 12 KB
- data/stacks/nuxt-ui.csv 14 KB
- data/stacks/nuxtjs.csv 16 KB
- data/stacks/react-native.csv 9.8 KB
- data/stacks/react.csv 13 KB
- data/stacks/shadcn.csv 16 KB
- data/stacks/svelte.csv 11 KB
- data/stacks/swiftui.csv 11 KB
- data/stacks/threejs.csv 45 KB
- data/stacks/vue.csv 11 KB
- data/styles.csv 139 KB
- data/ui-reasoning.csv 52 KB
- data/ux-guidelines.csv 18 KB
- evals/evals.json 922 B
- evals/triggers.json 1.3 KB
- LICENSE.apache-2.0.txt 11 KB
- references/context-and-registers.md 5.5 KB
- references/design-languages.md 5.0 KB
- references/design-rules-checklist.md 23 KB
- references/integration-mapping.md 4.8 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.
- 3d ago First seen · 210 lines · 47 tokens per session scan A d47b9246f6e3
design-intelligence is a skill published in the GitHub repository event4u-app/agent-config (10 stars, last pushed today), licensed MIT. It adds 47 tokens to every session and 2,652 once invoked, about $0.0002 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 2026-09-03.
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