Agent skill · Audited from source

compose-performance-audit

skill · new-silvermoon/awesome-android-agent-skillsApache-2.0 licenceAudited 29 Oct 2026 · source 4bc96bf96aac

★ 993pushed 93 days ago
✓SAFEGrade B · 89/100 · 29 Oct 2026 · 4bc96bf
993repo stars · whole new-silvermoon/awesome-android-agent-skills

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 4bc96bf96aac and found no filesystem, network or shell access and no hard-coded secrets. What it does: Audit and improve Jetpack Compose runtime performance from code review and architecture. Use when asked to diagnose slow rendering, janky scrolling, excessive recompositions, or performance issues in Compose UI.

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ModelsAtlas. “compose-performance-audit (new-silvermoon/awesome-android-agent-skills)”. Retrieved 29 Oct 2026. https://modelsatlas.com/skills/new-silvermoon/compose-performance-audit

Trust audit

Audit 0.4.1 · source read 29 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 4bc96bf96aac · 29 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

What it tells the agent

Full source on GitHub ↗

Its description: Audit and improve Jetpack Compose runtime performance from code review and architecture. Use when asked to diagnose slow rendering, janky scrolling, excessive recompositions, or performance issues in Compose UI.

---
name: compose-performance-audit
description: Audit and improve Jetpack Compose runtime performance from code review and architecture. Use when asked to diagnose slow rendering, janky scrolling, excessive recompositions, or performance issues in Compose UI.
---

# Compose Performance Audit

## Overview

Audit Jetpack Compose view performance end-to-end, from instrumentation and baselining to root-cause analysis and concrete remediation steps.

## Workflow Decision Tree

- If the user provides code, start with "Code-First Review."
- If the user only describes symptoms, ask for minimal code/context, then do "Code-First Review."
- If code review is inconclusive, go to "Guide the User to Profile" and ask for Layout Inspector output or Perfetto traces.

## 1. Code-First Review

Collect:
- Target Composable code.
- Data flow: state, remember, derived state, ViewModel connections.
- Symptoms and reproduction steps.

Focus on:
- **Recomposition storms** from unstable parameters or broad state changes.
- **Unstable keys** in `LazyColumn`/`LazyRow` (`key` churn, missing keys).
- **Heavy work in composition** (formatting, sorting, filtering, object allocation).
- **Unnecessary recompositions** (missing `remember`, unstable classes, lambdas).
- **Large images** without proper sizing or async loading.
- **Layout thrash** (deep nesting, intrinsic measurements, `SubcomposeLayout` misuse).

Provide:
- Likely root causes with code references.
- Suggested fixes and refactors.
- If needed, a minimal repro or instrumentation suggestion.

## 2. Guide the User to Profile

Explain how to collect data:
- Use **Layout Inspector** in Android Studio to see recomposition counts.
- Enable **Recomposition Highlights** in Compose tooling.
- Use **Perfetto** or **System Trace** for frame timing analysis.
- Check **Macrobenchmark** results for startup/scroll metrics.

Ask for:
- Layout Inspector screenshot showing recomposition counts.
- Perfetto trace or System Trace export.
- Device/OS/build configuration (debug vs release).

> **Important**: Ensure profiling is done on a **release build** with R8 enabled. Debug builds have significant overhead.

## 3. Analyze and Diagnose

Prioritize likely Compose culprits:
- **Recomposition storms** from unstable parameters or broad state changes.
- **Unstable keys** in lazy lists (`key` churn, index-based keys).
- **Heavy work in composition** (formatting, sorting, object allocation).
- **Missing `remember`** causing recreations on every recomposition.
- **Large images** without `Modifier.size()` constraints.
- **Unnecessary state reads** in wrong composition phases.

Summarize findings with evidence from traces/Layout Inspector.

## 4. Remediate

Apply targeted fixes:
- **Stabilize parameters**: Use `@Stable` or `@Immutable` annotations on data classes.
- **Stabilize keys**: Use stable, unique IDs for `LazyColumn`/`LazyRow` items.
- **Defer state reads**: Use `derivedStateOf`, lambda-based modifiers, or `Modifier.drawBehind`.
- **Remember expensive computations**: Wrap in `remember { }` or `remember(key) { }`.
- **Skip recomposition**: Extract stable composables, use `key()` to control identity.
- **Async image loading**: Use Coil/Glide with proper sizing constraints.
- **Reduce layout complexity**: Flatten hierarchies, avoid deep nesting.

## Common Code Smells (and Fixes)

### Unstable lambda captures

```kotlin
// BAD: New lambda instance every recomposition
Button(onClick = { viewModel.doSomething(item) }) { ... }

// GOOD: Use remember or method reference
val onClick = remember(item) { { viewModel.doSomething(item) } }
Button(onClick = onClick) { ... }
```

### Expensive work in composition

```kotlin
// BAD: Sorting on every recomposition
@Composable
fun ItemList(items: List<Item>) {
    val sorted = items.sortedBy { it.name } // Runs every recomposition
    LazyColumn { items(sorted) { ... } }
}

// GOOD: Use remember with key
@Composable
fun ItemList(items: List<Item>) {
    val sorted = remember(items) { items.sortedBy { it.name } }
    LazyColumn { items(sorted) { ... } }
}
```

### Missing keys in LazyColumn

```kotlin
// BAD: Index-based identity (causes recomposition on list changes)
LazyColumn {
    items(items) { item -> ItemRow(item) }
}

// GOOD: Stable key-based identity
LazyColumn {
    items(items, key = { it.id }) { item -> ItemRow(item) }
}
```

### Unstable data classes

```kotlin
// BAD: Unstable (contains List, which is not stable)
data class UiState(
    val items: List<Item>,
    val isLoading: Boolean
)

// GOOD: Mark as Immutable if truly immutable
@Immutable
data class UiState(
    val items: ImmutableList<Item>, // kotlinx.collections.immutable
    val isLoading: Boolean
)
```

### Reading state too early

```kotlin
// BAD: State read during composition (recomposes whole tree)
@Composable
fun AnimatedBox(scrollState: ScrollState) {
    val offset = scrollState.value // Recomposes on every scroll
    Box(modifier = Modifier.offset(y = offset.dp)) { ... }
}

// GOOD: Defer state read to layout/draw phase
@Composable
fun AnimatedBox(scrollState: ScrollState) {
    Box(modifier = Modifier.offset {
        IntOffset(0, scrollState.value) // Read in layout phase
    }) { ... }
}
```

### Object allocation in composition

```kotlin
// BAD: Creates new Modifier chain every recomposition
Box(modifier = Modifier.padding(16.dp).background(Color.Red))

// GOOD for dynamic modifiers: Remember the modifier
val modifier = remember { Modifier.padding(16.dp).background(Color.Red) }
Box(modifier = modifier)
```

## Stability Checklist

| Type | Stable by Default? | Fix |
|------|-------------------|-----|
| Primitives (`Int`, `String`, `Boolean`) | Yes | N/A |
| `data class` with stable fields | Yes* | Ensure all fields are stable |
| `List`, `Map`, `Set` | **No** | Use `ImmutableList` from kotlinx |
| Classes with `var` properties | **No** | Use `@Stable` if externally stable |
| Lambdas | **No** | Use `remember { }` |

## 5. Verify

Ask the user to:
- Re-run Lay

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 4bc96bf

Download folder ↗
git clone https://github.com/new-silvermoon/awesome-android-agent-skills
git -C awesome-android-agent-skills checkout 4bc96bf96aac

The author documents no install command, so this uses the repository directly. Our verdict covers commit 4bc96bf96aac only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 4bc96bf96aac

Similar skills

Questions about compose-performance-audit

What does the compose-performance-audit skill do?
A collection of standardized Agent Skills to teach GitHub Copilot, Claude, Gemini and Cursor about modern Android development (Kotlin, Jetpack Compose, etc.).
Is compose-performance-audit safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can compose-performance-audit access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (4bc96bf96aac), read on 2026-10-29. The repository is watched, and a new audit runs when it changes — this is the first audit.

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