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.
npx skills add frank-luongt/faos-skills-marketplace --skill app-store-optimizationgit clone --depth 1 https://github.com/frank-luongt/faos-skills-marketplaceWrote 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/frank-luongt/faos-skills-marketplace/app-store-optimization)<a href="https://agentmods.dev/skills/frank-luongt/faos-skills-marketplace/app-store-optimization"><img src="https://agentmods.dev/badge/skills/frank-luongt/faos-skills-marketplace/app-store-optimization/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/frank-luongt/faos-skills-marketplace/app-store-optimization"><img src="https://agentmods.dev/badge/skills/frank-luongt/faos-skills-marketplace/app-store-optimization.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 | $0.00000 | $0.02993 |
| Opus 5 | $0.00000 | $0.01496 |
| Sonnet 5 | $0.00000 | $0.00599 |
| Haiku 4.5 | $0.00000 | $0.00299 |
Grade A, and why
app-store-optimization 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 12d 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 — 316 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: app-store-optimization description: Optimize mobile app listings for iOS App Store and Google Play — keyword research, screenshot design, rating management, and conversion optimization. Use when launching a mobile app, improving app store rankings, or optimizing download conversion rates. tags: [aso, mobile, app-store, growth]
App Store Optimization (ASO)
Comprehensive ASO framework for iOS App Store and Google Play — keyword research, listing optimization, visual asset strategy, rating management, and A/B testing store pages. The mobile equivalent of SEO.
Use this skill when
- Launching a new mobile app on iOS or Google Play
- Optimizing an existing app listing to improve rankings
- Conducting keyword research for app store visibility
- Designing or testing screenshots and app preview videos
- Managing app ratings and reviews strategically
- Comparing performance across Apple and Google platforms
- Preparing ASO audit reports
Do not use this skill when
- Optimizing a website for Google search (use
seo-audit) - Running paid user acquisition campaigns (use
campaign-analytics) - Designing the app's UX/UI itself (use UX/frontend skills)
- Building the app's technical architecture (use engineering skills)
Instructions
- Research keywords using the ASO Keyword Research Framework.
- Optimize listing elements — title, subtitle, description, category.
- Design visual assets — screenshots, preview video, icon.
- Set up rating management — review response templates and prompt strategy.
- Run store listing experiments — A/B test on Google Play, Product Page Optimization on iOS.
- Produce the ASO Audit Report with keyword priority matrix.
Platform Differences: Apple vs. Google
Understanding these differences is critical — ASO strategy must be platform-specific:
| Factor | Apple App Store | Google Play |
|---|---|---|
| Title | 30 characters | 30 characters |
| Subtitle | 30 characters | N/A (use short description) |
| Short Description | N/A | 80 characters |
| Long Description | Not indexed for search | Indexed for search — keywords matter here |
| Keyword Field | 100 characters (hidden, comma-separated) | N/A — keywords from title + description |
| Category | Primary + secondary | Primary + secondary + tags |
| Screenshots | Up to 10 per device | Up to 8 per device |
| Preview Video | Up to 3 (30 sec, auto-play muted) | 1 (auto-play on listing) |
| A/B Testing | Product Page Optimization (3 treatments) | Store Listing Experiments (5 variants) |
| Rating Reset | Can reset on major version | Cannot reset — cumulative |
| Review Response | Developer can respond | Developer can respond |
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.
- 12d ago First seen · 316 lines · 0 tokens per session scan A dd113b7e0bc1
app-store-optimization is a skill published in the GitHub repository frank-luongt/faos-skills-marketplace (33 stars, last pushed 2mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,993 tokens. 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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