Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/PicsArt/gen-ai-skillsnpx agentmods add skills/picsart/gen-ai-skills/dev-app-assetsWrote 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/picsart/gen-ai-skills/dev-app-assets)<a href="https://agentmods.dev/skills/picsart/gen-ai-skills/dev-app-assets"><img src="https://agentmods.dev/badge/skills/picsart/gen-ai-skills/dev-app-assets/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/picsart/gen-ai-skills/dev-app-assets"><img src="https://agentmods.dev/badge/skills/picsart/gen-ai-skills/dev-app-assets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00014 | $0.02531 |
| Opus 5 | $0.00007 | $0.01265 |
| Sonnet 5 | $0.00003 | $0.00506 |
| Haiku 4.5 | $0.00001 | $0.00253 |
Grade A, and why
dev-app-assets 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
App assets
A one-shot pipeline that turns a single app idea into the full store-ready asset pack: app icon across every required size, splash screen, device-framed App Store / Play Store screenshots, and feature graphic. One visual language, one style reference, every platform.
When to Use
- Launching an iOS / Android / cross-platform app and need the full asset set before submission.
- Rebranding an existing app: re-render all icons + store art in a new style.
- Indie / hackathon ships where you'd otherwise hand-crop 30 icon sizes.
- Watch + phone + tablet variants that must feel like one product.
- Regenerating localized App Store screenshots for new markets.
Not for: motion assets (use gen-ai-use), marketing LP heroes (dev-screenshot-beautifier), or final pixel-perfect logo work (hand off to a designer).
Prerequisites
Ask before generating (one message, 6 questions):
- App name + one-line concept (e.g. "Rally — a focus timer for ADHD brains").
- Style direction: flat, gradient, claymorphic, glass, pixel? Any existing logo or style exemplar to reference?
- Brand tokens: primary + accent colors (hex), typography, mood keywords.
- Platforms: iOS, Android, watchOS, macOS, web PWA — which sizes do you need?
- Device frames for screenshots: iPhone 16 Pro, Pixel 9, Apple Watch, iPad Pro? Portrait or landscape?
- Deliverable folder: where should the pack land (e.g.
./app-assets/)?
How to Run
-
Estimate + validate the master style.
gen-ai models info flux-2-pro gen-ai generate -m flux-2-pro -p "<style prompt>" --aspect-ratio 1:1 --dry-run --debug -
Generate the master icon (1024×1024, the source-of-truth). This is what every downstream size gets derived from — make it right once.
gen-ai generate -m flux-2-pro \ -p "app icon, 'Rally' focus timer, minimalist gradient, magenta #FF006E to purple #8338EC, soft shadow, rounded-rect canvas, centered glyph, hyperreal studio render" \ --aspect-ratio 1:1 \ --download ./app-assets/icon-master \ --save-to-drive --drive-folder "rally-app-assets"Review visually. Regenerate until approved — do NOT batch before the master is locked.
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.
- 10d ago First seen · 178 lines · 14 tokens per session scan A 569343684018
dev-app-assets is a skill published in the GitHub repository PicsArt/gen-ai-skills (4 stars, last pushed 13d ago), licensed MIT. It adds 14 tokens to every session and 2,531 once invoked, about $0.0001 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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