living-ui

living-ui is a skill for Claude Code, Codex from kirodotdev/KiroCrew. It costs 58 tokens per session (7,221 once invoked), scanned A, original, Apache-2.0.

Guidance for designing animated and interactive widgets, explainers, and dashboard pages. It covers motion, text placement, keyboard use, screen readers, and reduced-motion settings.

In plain words
What is it for?
Use it when building a live figure, explainer, dashboard widget, or standalone interactive page.
Why use it?
It helps prevent an interactive visual from being confusing or unusable, especially for people who navigate by keyboard or use accessibility tools.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when building a live figure, explainer, dashboard widget, or standalone interactive page.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kirodotdev/kirocrew/living-ui
About the project

Kiro Crew is a persistent development workspace where agents continue multi-step software work across sessions, schedules, and connected interfaces. Developers use it locally or remotely through a desktop app, web dashboard, CLI, Slack, or Discord, with unattended tasks and recurring jobs. The catalogue contains skills and instructions for working with this workspace.

kirodotdev/KiroCrew · 4,496 stars · on GitHub · kiro.dev

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 kirodotdev/KiroCrew --skill living-ui
Clone the repo
git clone --depth 1 https://github.com/kirodotdev/KiroCrew

Made for: Claude Code, 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 living-ui

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/kirodotdev/kirocrew/living-ui"><img src="https://agentmods.dev/badge/skills/kirodotdev/kirocrew/living-ui.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,221 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.
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 $0.00058 $0.07221
Opus 5.5 $0.00023 $0.02888
Sonnet 5.5 $0.00012 $0.01444
Haiku 4.5 $0.00006 $0.00722

Measured today against content hash 376f73bacd47, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

living-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 today.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/harness.py, toolkit/living-ui.js), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

src/kiro_crew/builtin_skills/living-ui/SKILL.md · 603 lines

How it starts

The opening of the file, as written. The whole thing — 603 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Living UI

These rules make a live figure easy to follow in its first second. A live figure is an inline <mcwidget> explainer, a crewmate's Dashboard page, or a standalone HTML artifact. The rules say how motion feels, where the eye goes, where words go and how to check the result.

They never pick a colour, a font or a shape. The theme, the user's request or the author decides the look. Where a rule needs a colour, it names a theme variable: var(--accent) for the one lit element, var(--muted) or a lower opacity for everything else.

Load the widgets skill as well. It owns the widget format, the theme variables, the frame's CSP and the animation table these rules start from. On a Dashboard page, the dashboard skill owns the page contract.

The gate: freeze one frame

Run the widgets skill's freeze-one-frame test first: picture one still frame of the figure. If that frame carries the meaning, the figure stays still and the motion rules M, T, L and X do not apply. It may still take input, as a slider or a clickable diagram does, so rules F (focus), W (words), V (verify) and the Accessibility section apply all the same.

The motion rules say how to move once motion has earned its place. None of them is a reason to make something move.

M. Motion feels like a real thing

  • Time, not frames. Compute dt, the seconds since the last frame, from the requestAnimationFrame timestamp. Clamp it to at most 1/30 s, so a stalled tab does not jump.
  • Input sets a target, and the value follows it. A drag, a click or a key sets where a value is going. The shown value moves there and never snaps. Use an exponential follow, x += (target - x) * (1 - Math.exp(-dt / tau)) with tau between 0.1 and 0.3 s, or a spring.
  • A spring overshoots once, then settles. Where an overshoot would show a false value, such as a count or a cost, settle with critical damping so the value never passes its target.
  • A one-shot event is an envelope over its age. When an approval arrives or a run fails, the signal rises over 40 to 120 ms, starting flat (zero slope), then fades more slowly. Never jump a value to full in one frame.
  • One loop per figure. It stops once every value has settled, and starts again on the next input or change.

Read the full file on GitHub · 603 lines

Files

What ships with it

5 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. today First seen · 603 lines · 58 tokens per session scan A 376f73bacd47

Subscribe to this mod's changes

living-ui is a skill published in the GitHub repository kirodotdev/KiroCrew (4,496 stars, last pushed today), licensed Apache-2.0. It adds 58 tokens to every session and 7,221 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 2026-10-20.