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 somnus0x/agt-skill-pack --skill design-tastegit clone --depth 1 https://github.com/somnus0x/agt-skill-packWrote 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/somnus0x/agt-skill-pack/design-taste)<a href="https://agentmods.dev/skills/somnus0x/agt-skill-pack/design-taste"><img src="https://agentmods.dev/badge/skills/somnus0x/agt-skill-pack/design-taste/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/somnus0x/agt-skill-pack/design-taste"><img src="https://agentmods.dev/badge/skills/somnus0x/agt-skill-pack/design-taste.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 | $0.00039 | $0.05082 |
| Opus 5.5 | $0.00016 | $0.02033 |
| Sonnet 5.5 | $0.00008 | $0.01016 |
| Haiku 4.5 | $0.00004 | $0.00508 |
Grade A, and why
design-taste 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.
How it starts
The opening of the file, as written. The whole thing — 462 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design Taste
Design taste is the ability to look at an interface and know — before any analysis — whether it works. This skill doesn't teach design rules. It trains the pattern recognition that makes rules unnecessary.
Start with identity, not a screen
AI-generated UIs look generic because the model starts from zero every time. Ask it for "a nice pricing page" and it converges on the safest, most average answer in its training data. That's why everything looks the same.
The fix is upstream of the screen: define your design identity first. Before generating anything, decide what world this product lives in — the tone, the emotional reference, what it should feel like. Pick your own direction (editorial, brutalist, playful, terminal, whatever fits the product). Don't let the model pick a default for you.
Once the identity is set, buttons and layout fall out of it. The same content, gen'd against a defined identity, comes out distinctive instead of average.
Generic is not a polish problem. It's a starting-point problem. The four lenses below check whether what you generated matches the identity you decided on.
The design taste framework
When evaluating any UI — your own, a competitor's, or a reference — run these four lenses. Each one isolates a different axis of quality.
Lens 1: Squint test
Literally squint at the screen (or blur the screenshot mentally). What do you see?
- Where does your eye go first? That's the visual hierarchy. If it goes to the wrong thing (a decorative element, a secondary button, a logo) — the hierarchy is broken.
- How many distinct zones do you see? More than 4 zones on one screen = too complex. Reduce.
- Is there a clear "what do I do here" moment? If squinting reveals no obvious action — the page has no purpose.
Output: "Eye goes to [X]. [Right/wrong] element. [N] zones visible. Primary action is [clear/unclear]."
Lens 2: Remove until it breaks
Take the design and mentally delete elements one at a time. Start with decoration — shadows, gradients, icons, borders, background colors.
What ships with it
3 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.
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 · 462 lines · 39 tokens per session scan A 7c07599e994e
design-taste is a skill published in the GitHub repository somnus0x/agt-skill-pack (74 stars, last pushed 18d ago), licensed Apache-2.0. It adds 39 tokens to every session and 5,082 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 2026-08-30.
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