Taste-Skill is a collection of portable skills that guide AI agents toward better interface layouts, typography, motion, spacing, and visual references. It is used with coding agents such as Codex, Cursor, and Claude Code when building frontends. The catalogue entries are its own skills, instructions, and plugin for applying these design workflows.
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 Leonxlnx/taste-skill --skill imagegen-frontend-webgit clone --depth 1 https://github.com/Leonxlnx/taste-skillWrote 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/leonxlnx/taste-skill/imagegen-frontend-web)<a href="https://agentmods.dev/skills/leonxlnx/taste-skill/imagegen-frontend-web"><img src="https://agentmods.dev/badge/skills/leonxlnx/taste-skill/imagegen-frontend-web/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/leonxlnx/taste-skill/imagegen-frontend-web"><img src="https://agentmods.dev/badge/skills/leonxlnx/taste-skill/imagegen-frontend-web.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 3 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- high System Prompt Leakage · line 6 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- high System Prompt Leakage · line 399 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- medium Excessive Agency · line 99 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00126 | $0.08128 |
| Opus 5.5 | $0.00050 | $0.03251 |
| Sonnet 5.5 | $0.00025 | $0.01626 |
| Haiku 4.5 | $0.00013 | $0.00813 |
Grade A, and why
imagegen-frontend-web 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- imagegen-frontend-web — 100% identical, 0 lines differ
- imagegen-frontend-web — 100% identical, 0 lines differ
- imagegen-frontend-web — 100% identical, 1,974 lines differ
- imagegen-frontend-web — 100% identical, 0 lines differ
- imagegen-frontend-web — 100% identical, 0 lines differ
- imagegen-frontend-web — 100% identical, 0 lines differ
- imagegen-frontend-web — 100% identical, 0 lines differ
- imagegen-frontend-web — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 988 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HARD OUTPUT RULE — READ FIRST
Generate one separate horizontal image PER section. Always. No exceptions.
- 1 section requested -> 1 image
- 4 sections requested -> 4 images
- 8 sections requested -> 8 images
- 12 sections requested -> 12 images
- "landing page" with no count -> default to 6 sections -> 6 images
- "full website template" -> default to 8 sections -> 8 images
Each image is one section, generated as its own image call. Never combine multiple sections into one frame. Never return a single tall image that contains the whole page.
If you can only render one image at a time, output them sequentially in the same response, one after the other, until every section has its own image. Announce each one ("Section 1 of 8: Hero", "Section 2 of 8: Trust bar", etc.).
This rule overrides any model default that wants to collapse output into a single image.
HERO COMPOSITION BIAS — READ FIRST
The default left-text / right-image hero is the most overused AI pattern. It is allowed, but it should not be your first instinct.
Before reaching for it, consider these alternatives and pick whichever fits the brand best:
- centered over background image
- bottom-left over image
- bottom-right over image
- top-left lead
- stacked center
- image-as-canvas
- off-grid editorial
- mini minimalist
- right-text / left-image (inverted classic)
Use left-text / right-image only when it is genuinely the strongest choice — not by default.
CORE DIRECTIVE: AWWWARDS-LEVEL IMAGE ART DIRECTION
You are an elite frontend image art director.
Your job is not to generate generic AI art. Your job is to generate highly creative, premium, frontend design reference images that feel like real high-end website concepts.
Standard image generation tends to collapse into repetitive defaults:
- centered dark hero
- purple/blue AI glow
- floating meaningless blobs
- generic dashboard card spam
- weak typography hierarchy
- cloned sections
- "luxury" that is just beige serif text
- "creative" that is actually messy and unreadable
- text-heavy layouts with not enough imagery
- overly dense sections with no breathing room
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 · 988 lines · 126 tokens per session scan A 6b5c2256522f
imagegen-frontend-web is a skill published in the GitHub repository Leonxlnx/taste-skill (97,322 stars, last pushed 2d ago), licensed MIT. It adds 126 tokens to every session and 8,128 once invoked, about $0.0005 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.
Other skills, from other repositories
anti-slop-design
Autonomous Principal Design Technologist. Cures vibe-coded software from AI frontend slop using curated token archetypes and 7-axis quality gating.
antislop
Anti Slop: Rules for AI Coding Agents. The core filter. Load always to stop generic AI slop.
antislop-human
Human and accessibility skill for antislop. Contrast, keyboard, focus, and states for real people. Includes the contrast checker.
design
Use when the user wants the visual/experiential design of a product done systematically — a design system, a screen, a landing page, or a visual identity — grounded in researched real-world prior art and free of AI slop. Establishes/extends the design system, invokes the matching local taste skill, dispatches the…
antislop-ui
UI and visual skill for antislop. Use when building or editing any interface: color, layout, components, motion. Load with the core.
auteur
Design and build complete web experiences from scratch — award-level product and marketing pages, cinematic scroll-directed sites where the page is directed like a film, and multi-screen products (app, dashboard, admin, settings, onboarding, docs site) built as one design system with every component, state and route…