app-store-toolkit:render-screenshots

app-store-toolkit:render-screenshots is a skill for Claude Code from vishalvshekkar/app-store-toolkit. It costs 36 tokens per session (415 once invoked), scanned A, original, MIT.

A tool for turning HTML templates into screenshots for an app store listing. It uses Puppeteer, a browser automation tool, to render images for different languages and device sizes.

In plain words
What is it for?
Use it to render localized iPhone or other device screenshots from templates, then check them before publishing.
Why use it?
It removes the need to capture each app-store screenshot manually and helps prepare images from the listing data.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Part of the app-store-toolkit plugin — 19 skills, 2 agents, 2 hooks, 1 MCP server shipped together

Good fit Use it to render localized iPhone or other device screenshots from templates, then check them before publishing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vishalvshekkar/app-store-toolkit/render-screenshots
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 vishalvshekkar/app-store-toolkit --skill render-screenshots
Clone the repo
git clone --depth 1 https://github.com/vishalvshekkar/app-store-toolkit

Made for: Claude Code.

Or install app-store-toolkit, the plugin that ships this one along with the rest of its 19 skills, 2 agents, 2 hooks, 1 MCP server.

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 app-store-toolkit:render-screenshots

README.md
[![agentmods](https://agentmods.dev/badge/skills/vishalvshekkar/app-store-toolkit/render-screenshots.svg)](https://agentmods.dev/skills/vishalvshekkar/app-store-toolkit/render-screenshots)
Your own site
<a href="https://agentmods.dev/skills/vishalvshekkar/app-store-toolkit/render-screenshots"><img src="https://agentmods.dev/badge/skills/vishalvshekkar/app-store-toolkit/render-screenshots.svg" alt="Measured on agentmods" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 415 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 $0.00036 $0.00415
Opus 5 $0.00018 $0.00208
Sonnet 5 $0.00007 $0.00083
Haiku 4.5 $0.00004 $0.00042

Measured 8d ago against content hash 0579d49fc103, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

app-store-toolkit:render-screenshots 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 8d 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.

skills/render-screenshots/SKILL.md · 48 lines

What it actually says

/app-store-toolkit:render-screenshots

Render template-based screenshots using the bundled Puppeteer renderer.

Steps

1. Verify templates exist

Check .appstore/templates/ for screenshot-{device}.html files. If none, tell the user to run /app-store-toolkit:setup and accept the starter templates, or to add their own.

2. Verify assets.json has entries

For each locale × device in scope, read .appstore/metadata/{locale}/{platform}/assets.json. If screenshots[{device}] is empty or missing, skip that combination and warn.

3. Render

For each locale × device with entries and a template:

  • Call assets_render_template({ locale, platform: "ios", device }).
  • The first call triggers a Chromium download (~280 MB). Print a one-time notice telling the user this is happening.
  • The tool writes PNGs to .appstore/assets/ios/{locale}/{device}/screenshots/.

4. Suggest next steps

Rendered 36 screenshots across 9 locales × 4 devices.
Run /app-store-toolkit:validate to confirm dimensions, then /app-store-toolkit:push --assets.

Suggested next

  • /app-store-toolkit:validate — confirm rendered screenshots meet Apple's required dimensions
  • /app-store-toolkit:push — upload the validated screenshots to App Store Connect
  • See also: docs/workflows/assets-pipeline.md
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. 8d ago First seen · 48 lines · 36 tokens per session scan A 0579d49fc103

Subscribe to this mod's changes

app-store-toolkit:render-screenshots is a skill published in the GitHub repository vishalvshekkar/app-store-toolkit (5 stars, last pushed 3mo ago), licensed MIT. It adds 36 tokens to every session and 415 once invoked, about $0.0002 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 2026-08-31.

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