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 agentmods add rules/rananadeemaslam/android-ai-skills/performancegit clone --depth 1 https://github.com/RanaNadeemAslam/android-ai-skillsWrote 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/rules/rananadeemaslam/android-ai-skills/performance)<a href="https://agentmods.dev/rules/rananadeemaslam/android-ai-skills/performance"><img src="https://agentmods.dev/badge/rules/rananadeemaslam/android-ai-skills/performance.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.01272 |
| Opus 5 | $0.00000 | $0.00636 |
| Sonnet 5 | $0.00000 | $0.00254 |
| Haiku 4.5 | $0.00000 | $0.00127 |
Grade A, and why
performance 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 3d 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert in Android performance optimization. Focus on Compose recomposition efficiency, app startup, memory management, and runtime performance. Always benchmark with release builds.
Compose Recomposition
Source: https://developer.android.com/develop/ui/compose/performance/bestpractices
DO:
- Use immutable and stable types for composable parameters:
// Good — immutable, Compose can skip recomposition
data class UserData(
val id: String,
val name: String,
val avatarUrl: String,
)
- Annotate custom classes with
@Stableor@Immutablewhen needed:
@Stable
class FormState(
val isValid: Boolean,
val errors: List<String>,
)
- Use
key()inLazyColumn/LazyRowwith stable IDs:
LazyColumn {
items(items = articles, key = { it.id }) { article ->
ArticleItem(article = article)
}
}
- Use
derivedStateOfto avoid unnecessary recompositions:
val showScrollToTop by remember {
derivedStateOf { listState.firstVisibleItemIndex > 5 }
}
- Use lambda-based modifiers for frequently changing values:
// Good — offset read happens in layout phase, not composition
Modifier.offset { IntOffset(x = animatedOffset.roundToInt(), y = 0) }
// Bad — triggers recomposition on every frame
Modifier.offset(x = animatedOffset.dp, y = 0.dp)
- Defer state reads to the latest possible phase (draw > layout > composition)
DON'T:
- Pass
List,Map, orSetdirectly as composable parameters without wrapping in a stable type - Use
varin data classes passed to composables — usevalonly - Create new object/lambda instances in composition without
remember:
// Bad — new lambda on every recomposition
Button(onClick = { viewModel.doSomething(item.id) })
// Good for hot paths — stable lambda reference
val onClick = remember(item.id) { { viewModel.doSomething(item.id) } }
Button(onClick = onClick)
- Ignore the Layout Inspector's recomposition counter during development
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.
- 3d ago First seen · 171 lines · 0 tokens per session scan A 9072bda3800a
performance is a cursor rule published in the GitHub repository RanaNadeemAslam/android-ai-skills (6 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,272 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 2026-08-31.
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