tasteful-ui

tasteful-ui is a skill for Codex from murray17/rovai-ai. It costs 132 tokens per session (1,667 once invoked), scanned A, original, MIT.

A set of instructions for designing and building product interfaces, such as web-app screens. It uses project context, visual references, design briefs, alternatives, and review steps to guide the work.

In plain words
What is it for?
It is for redesigning, building, polishing, or critiquing frontend user interfaces and verifying the implementation.
Why use it?
It helps replace generic-looking interfaces with designs that fit the product and gives a way to compare and check the result.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit It is for redesigning, building, polishing, or critiquing frontend user interfaces and verifying the implementation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/murray17/rovai-ai/tasteful-ui
Install

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.

Any agent
npx skills add murray17/rovai-ai --skill tasteful-ui
Clone the repo
git clone --depth 1 https://github.com/murray17/rovai-ai

Made for: Codex.

Wrote 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.

agentmods badge for tasteful-ui

README.md
[![agentmods](https://agentmods.dev/badge/skills/murray17/rovai-ai/tasteful-ui/github.svg)](https://agentmods.dev/skills/murray17/rovai-ai/tasteful-ui)
Your own site
<a href="https://agentmods.dev/skills/murray17/rovai-ai/tasteful-ui"><img src="https://agentmods.dev/badge/skills/murray17/rovai-ai/tasteful-ui/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.

agentmods 80×15 button for tasteful-ui

Your own site · 80×15
<a href="https://agentmods.dev/skills/murray17/rovai-ai/tasteful-ui"><img src="https://agentmods.dev/badge/skills/murray17/rovai-ai/tasteful-ui.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 132 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,667 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 3 findings, up to medium

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 →

  • medium Excessive Agency · line 84
    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.
  • medium Excessive Agency · line 84
    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.
  • medium Excessive Agency · line 94
    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.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00132 $0.01667
Opus 5 $0.00066 $0.00834
Sonnet 5 $0.00026 $0.00333
Haiku 4.5 $0.00013 $0.00167

Measured 11d ago against content hash 6d97376b391e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

tasteful-ui 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/tasteful-ui/SKILL.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Tasteful UI

Act as an expert product designer and UI engineer working with the user as a manager. Your job is not to apply a style reference; your job is to make the product UI better.

This skill is a router. Load the smallest relevant support files for the current task:

Core Principle

Use this order of judgment:

  1. Product context decides what the UI must be true to.
  2. Taste exploration decides which directions are worth considering.
  3. References provide reusable style material, not final answers.
  4. PROJECT_DESIGN.md or design.md turns chosen taste into executable rules.
  5. Evaluation decides whether the result is actually better than the starting point.

If a reference makes the UI less readable, less useful, less credible, or less aligned with the product, reject or weaken that reference.

Use When

Use this skill for meaningful UI work:

  • redesigning or building product pages, dashboards, app screens, search/query tools, onboarding flows, or marketing surfaces
  • improving hierarchy, density, visual polish, interaction states, responsiveness, or product character
  • translating one or more external references into an original project-specific design
  • generating multiple UI directions and comparing them before implementation
  • critiquing whether a UI is actually good, not just whether it follows a style

Read the full file on GitHub · 130 lines

Files

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.

Changes

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.

  1. 11d ago First seen · 130 lines · 132 tokens per session scan A 6d97376b391e

Subscribe to this mod's changes

tasteful-ui is a skill published in the GitHub repository murray17/rovai-ai (64 stars, last pushed today), licensed MIT. It adds 132 tokens to every session and 1,667 once invoked, about $0.0007 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 2026-08-30.

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