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 multiplex-ai/muggle-ai-teams --skill compose-multiplatform-patternsgit clone --depth 1 https://github.com/multiplex-ai/muggle-ai-teamsWrote 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/multiplex-ai/muggle-ai-teams/compose-multiplatform-patterns)<a href="https://agentmods.dev/skills/multiplex-ai/muggle-ai-teams/compose-multiplatform-patterns"><img src="https://agentmods.dev/badge/skills/multiplex-ai/muggle-ai-teams/compose-multiplatform-patterns/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/multiplex-ai/muggle-ai-teams/compose-multiplatform-patterns"><img src="https://agentmods.dev/badge/skills/multiplex-ai/muggle-ai-teams/compose-multiplatform-patterns.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 | $0.00037 | $0.01876 |
| Opus 5.5 | $0.00015 | $0.00750 |
| Sonnet 5.5 | $0.00007 | $0.00375 |
| Haiku 4.5 | $0.00004 | $0.00188 |
Grade A, and why
compose-multiplatform-patterns 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 2d 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 compose-multiplatform-patterns — 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 — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Compose Multiplatform Patterns
Patterns for building shared UI across Android, iOS, Desktop, and Web using Compose Multiplatform and Jetpack Compose. Covers state management, navigation, theming, and performance.
When to Activate
- Building Compose UI (Jetpack Compose or Compose Multiplatform)
- Managing UI state with ViewModels and Compose state
- Implementing navigation in KMP or Android projects
- Designing reusable composables and design systems
- Optimizing recomposition and rendering performance
State Management
ViewModel + Single State Object
Use a single data class for screen state. Expose it as StateFlow and collect in Compose:
data class ItemListState(
val items: List<Item> = emptyList(),
val isLoading: Boolean = false,
val error: String? = null,
val searchQuery: String = ""
)
class ItemListViewModel(
private val getItems: GetItemsUseCase
) : ViewModel() {
private val _state = MutableStateFlow(ItemListState())
val state: StateFlow<ItemListState> = _state.asStateFlow()
fun onSearch(query: String) {
_state.update { it.copy(searchQuery = query) }
loadItems(query)
}
private fun loadItems(query: String) {
viewModelScope.launch {
_state.update { it.copy(isLoading = true) }
getItems(query).fold(
onSuccess = { items -> _state.update { it.copy(items = items, isLoading = false) } },
onFailure = { e -> _state.update { it.copy(error = e.message, isLoading = false) } }
)
}
}
}
Collecting State in Compose
@Composable
fun ItemListScreen(viewModel: ItemListViewModel = koinViewModel()) {
val state by viewModel.state.collectAsStateWithLifecycle()
ItemListContent(
state = state,
onSearch = viewModel::onSearch
)
}
@Composable
private fun ItemListContent(
state: ItemListState,
onSearch: (String) -> Unit
) {
// Stateless composable — easy to preview and test
}
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.
- 2d ago First seen · 300 lines · 37 tokens per session scan A c81cbd0422f7
compose-multiplatform-patterns is a skill published in the GitHub repository multiplex-ai/muggle-ai-teams (2 stars, last pushed 2d ago), licensed MIT. It adds 37 tokens to every session and 1,876 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to compose-multiplatform-patterns, differing in 0 lines, and is treated as a copy.
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