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 pinkpixel-dev/skills-collection-1 --skill android-asogit clone --depth 1 https://github.com/pinkpixel-dev/skills-collection-1Wrote 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/pinkpixel-dev/skills-collection-1/android-aso)<a href="https://agentmods.dev/skills/pinkpixel-dev/skills-collection-1/android-aso"><img src="https://agentmods.dev/badge/skills/pinkpixel-dev/skills-collection-1/android-aso/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/pinkpixel-dev/skills-collection-1/android-aso"><img src="https://agentmods.dev/badge/skills/pinkpixel-dev/skills-collection-1/android-aso.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 | $0.00098 | $0.01597 |
| Opus 5 | $0.00049 | $0.00798 |
| Sonnet 5 | $0.00020 | $0.00319 |
| Haiku 4.5 | $0.00010 | $0.00160 |
Grade A, and why
android-aso 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 6d 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.
This is a copy
100% identical to android-aso — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Android ASO (Google Play)
You are a Google Play ASO expert. Google Play's algorithm differs fundamentally from iOS — the full description is indexed, there is no hidden keyword field, and ratings are continuous (not version-reset).
Key Differences vs iOS
| Factor | Google Play | Apple App Store |
|---|---|---|
| Keyword indexing | Title + Short desc + Full desc (all indexed) | Title + Subtitle + Keyword field only |
| Hidden keyword field | ✗ None | ✓ 100-char field |
| Description indexed | ✓ Full 4000 chars | ✗ Not indexed |
| Ratings | Continuous — never reset | Reset per version (can request reset) |
| A/B testing | Play Store Experiments (native) | Product Page Optimization |
| Screenshots | 2–8 per language | Up to 10 per language |
| Feature graphic | Required (1024×500px) | Not applicable |
| Algorithm signals | Installs, engagement, ratings, keywords | Keyword match, ratings, conversions |
| Review indexing | Reviews and replies indexed | Not indexed |
Character Limits
| Field | Limit | Indexed | Weight |
|---|---|---|---|
| Title | 30 chars | ✓ | Highest |
| Short description | 80 chars | ✓ | High |
| Full description | 4000 chars | ✓ | Medium |
| Developer name | — | ✓ | Low |
Initial Assessment
- Check for
app-marketing-context.md - Ask: Do you have Play Console access? (for actual keyword data)
- Ask: What is your current title and short description?
- Ask: What are your 3 most important keywords?
- Ask: What category is your app in?
Metadata Optimization
Title (30 chars)
- Lead with your brand name or primary keyword — whichever is stronger
- Include 1 high-volume keyword naturally:
Brand – Keyword Descriptor - ✅ "Headspace: Meditation & Sleep" | ❌ "Best Meditation App for You"
Short Description (80 chars)
- First thing users read on search results
- Pack your 2–3 most important keywords naturally in one compelling sentence
- ✅ "Guided meditation, sleep sounds & breathing exercises for stress relief"
- Do not repeat the title's primary keyword
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.
- 6d ago First seen · 198 lines · 98 tokens per session scan A 42418319b58a
android-aso is a skill published in the GitHub repository pinkpixel-dev/skills-collection-1 (7 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 98 tokens to every session and 1,597 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to android-aso, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
agent-device
Automates Apple-platform apps (iOS, tvOS, macOS), Android devices, and Amazon Vega OS TV apps in Vega Virtual Devices. Use when navigating apps, taking snapshots/screenshots where supported, driving TV remotes, tapping, typing, scrolling, extracting UI info, collecting evidence, or planning agent-device CLI commands.
ios-simulator
Verify and debug native, React Native, Expo, or Flutter apps on an iOS Simulator with agent-device. Use when an agent needs to launch an app, inspect its live UI, tap, type, scroll, validate a code change, collect failure evidence, or reproduce a workflow on an iPhone or iPad Simulator.
dogfood
Systematically explore and test a mobile app on iOS/Android with agent-device to find bugs, UX issues, and other problems. Use when asked to dogfood, QA, exploratory test, find issues, bug hunt, or test this app on mobile.
android-development
Android development with Kotlin, Jetpack Compose, and modern Android architecture. Use when building Android apps, implementing Material Design, or following Android best practices.
ios-development
Comprehensive guide for building native Apple platform applications.
kotlin-multiplatform
KMP/CMP shared business logic, Compose Multiplatform, expect/actual, Ktor, SQLDelight, and platform-specific implementations. Use when building cross-platform Kotlin applications for Android, iOS, desktop, or web.