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 skills add artherahq/skills --skill industry-design-directiongit clone --depth 1 https://github.com/artherahq/skillsWrote 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/artherahq/skills/industry-design-direction)<a href="https://agentmods.dev/skills/artherahq/skills/industry-design-direction"><img src="https://agentmods.dev/badge/skills/artherahq/skills/industry-design-direction/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/artherahq/skills/industry-design-direction"><img src="https://agentmods.dev/badge/skills/artherahq/skills/industry-design-direction.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 | $0.00249 | $0.02013 |
| Opus 5 | $0.00125 | $0.01007 |
| Sonnet 5 | $0.00050 | $0.00403 |
| Haiku 4.5 | $0.00025 | $0.00201 |
Grade A, and why
industry-design-direction 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 11d 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 — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Industry design direction
Most generated UI looks templated because the aesthetic was never actually chosen — it defaulted. Purple-blue gradient, glassmorphic cards, Inter everywhere, hero-features-CTA. That default is applied identically to a dental clinic, a metal fabricator, and an NFT marketplace, and it is wrong for all three in different ways.
This skill exists to make the choice explicit and industry-grounded, before
any component is written. It is the exploration step. Once a direction is
picked, ui-design-system turns it into enforceable tokens.
The five decisions, in this order
Order matters — each one constrains the next, and taking them out of order is how you end up retrofitting a palette onto a layout that fights it.
-
Industry profile →
references/industry_profiles.mdFind the row matching the product. Match on the profile name or its keywords: users describe products in their own words ("clinic booking site"), not in the library's labels ("Healthcare App"). This gives you the primary style, viable alternates, the page structure, and — the part most worth reading — the constraint that industry most often gets wrong. -
What that style actually is →
references/style_library.mdThe profile names a style; this defines it — colors, effects, theme support, performance, the CSS that produces it, and a done-checklist. Read the "Do NOT use for" line before the "Best for" line: a style applied to the case it explicitly fails at is worse than a plain default. Skipping this step is how a named style silently collapses back into whatever the model already assumed it meant. -
Palette →
references/color_palettes.mdSame product-type key as the profile. Six roles: Primary, Secondary, CTA, Background, Text, Border. Take all six; picking only a primary and improvising the rest is how the neutral tones drift grey and the whole page flattens. -
Type pairing →
references/typography_pairings.mdFilter by the Best for line, not by what looks nice in isolation. A heading/body split is what stops a page reading as one undifferentiated block — a single family everywhere is the single most reliable tell of generated UI.
What ships with it
9 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 323 B
- references/color_palettes.md 31 KB
- references/industry_profiles.md 44 KB
- references/landing_patterns.md 18 KB
- references/style_library.md 68 KB
- references/typography_pairings.md 30 KB
- scripts/test_verify_contrast.py 5.1 KB runs code
- scripts/verify_contrast.py 9.0 KB runs code
- skill-policy.json 231 B
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.
- 11d ago First seen · 165 lines · 249 tokens per session scan A accad15356b0
industry-design-direction is a skill published in the GitHub repository artherahq/skills (2 stars, last pushed 7d ago), licensed Apache-2.0. It adds 249 tokens to every session and 2,013 once invoked, about $0.0012 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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