render-ios-keyboard

render-ios-keyboard is a skill for Claude Code, Codex from gooseworks-ai/goose-skills. It costs 86 tokens per session (1,890 once invoked), scanned A, original, MIT.

A static HTML and CSS version of an iOS QWERTY keyboard sized for a vertical video layout. It includes letter and number layouts, suggestions, common keys, and the bottom system controls.

In plain words
What is it for?
Use it alongside messaging mockups when a video needs to show a keyboard; another component can animate it sliding into view.
Why use it?
It supplies a reusable keyboard visual without requiring animation code or a real phone capture.

Skill for Claude CodeCodex

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

Good fit Use it alongside messaging mockups when a video needs to show a keyboard; another component can animate it sliding into view.

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Install with agentmods
npx agentmods add skills/gooseworks-ai/goose-skills/render-ios-keyboard
About the project

Goose Skills is a library of workflows and data APIs that lets coding agents handle growth and go-to-market work such as advertising, social media, content, SEO, lead generation, and customer research. It is intended for teams using Claude Code, Cursor, Codex, and similar agents. The catalogue entries are its reusable skills.

gooseworks-ai/goose-skills · 1,202 stars · on GitHub · gooseworks.ai

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 gooseworks-ai/goose-skills --skill render-ios-keyboard
Clone the repo
git clone --depth 1 https://github.com/gooseworks-ai/goose-skills

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 render-ios-keyboard

README.md
[![agentmods](https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/render-ios-keyboard/github.svg)](https://agentmods.dev/skills/gooseworks-ai/goose-skills/render-ios-keyboard)
Your own site
<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/render-ios-keyboard"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/render-ios-keyboard/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 render-ios-keyboard

Your own site · 80×15
<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/render-ios-keyboard"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/render-ios-keyboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,890 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 pass 7 Sept 2026
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 $0.00086 $0.01890
Opus 5 $0.00043 $0.00945
Sonnet 5 $0.00017 $0.00378
Haiku 4.5 $0.00009 $0.00189

Measured 9d ago against content hash b5822712974b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

render-ios-keyboard 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 9d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (generate.js, render.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.

skills/ads/packs/video-ad-formats/render-ios-keyboard/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

render-ios-keyboard

Purpose

Provide a drop-in iOS QWERTY keyboard fragment that pairs with messaging atoms (create-chatgpt-mockup, create-imessage-mockup) when a video needs to show someone typing. Static only: the keyboard sits at the bottom of the screen, the molecule's recorder slides it up/down with transform: translateY(...).

Inputs

const { renderKeyboardHTML, renderKeyboardCSS } = require('./generate');
const html = renderKeyboardHTML({
  suggestions: ['"He"', 'Hey', 'Heating'],   // optional, default ['I', 'The', "I'm"]
  layout: 'qwerty-lower',                    // 'qwerty-lower' | 'qwerty-upper' | 'numbers'
});

The atom returns an HTML fragment (one <div class="ios-keyboard">…</div>) plus the matching CSS. The CSS uses scoped class names so it won't collide with the rest of the page.

Workflow

  1. Require the module. const { renderKeyboardHTML, renderKeyboardCSS } = require('./generate'); — no build step, no dependencies beyond Node's fs/path.
  2. Pick a layout. renderKeyboardHTML reads opts.layout and looks it up in ROWS: qwerty-lower (default), qwerty-upper, or numbers. An unknown layout silently falls back to qwerty-lower. The molecule decides which state to show; this atom never switches on its own.
  3. Pass suggestions. opts.suggestions is an array of up to three strings rendered into the suggestion bar; each value is run through escapeHTML so quotes/angle brackets are safe. Omit it to get the default ['I', 'The', "I'm"].
  4. Receive the fragment. The function returns a single root <div class="ios-keyboard" data-layout="…"> containing, in order: the .kb-suggestions bar, three letter rows (row-1 10 keys, row-2 9 keys padded with two 18px spacers, row-3 = shift/#+= modifier + 7 keys + backspace), the row-bottom (123/ABC switch, emoji, wide space, return), and the .kb-system-row globe + mic strip.
  5. Inject the CSS once. Call renderKeyboardCSS() (which reads templates/keyboard.css from disk) and place it in a <style> block on the page. The molecule mounts the fragment at the bottom of the stage next to .composer-wrap.
  6. Animate externally. The atom emits no JS and never sets a transform. The owning molecule slides the keyboard in/out via transform: translateY(...) on the .ios-keyboard root (the CSS sets will-change: transform for this).
  7. (Optional) Preview standalone. render.js wraps the fragment + CSS in a 750×1334 white .stage HTML page and writes it to --out for eyeballing padding/colors.

Read the full file on GitHub · 93 lines

Files

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.

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. 9d ago First seen · 93 lines · 86 tokens per session scan A b5822712974b

Subscribe to this mod's changes

render-ios-keyboard is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 86 tokens to every session and 1,890 once invoked, about $0.0004 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 2026-09-03.

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