Borrowing it
Nothing to install: this file belongs to tomdwipo/claude-soul. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/tomdwipo/claude-soul/main/.claude/agents/performance-optimizer.mdgit clone --depth 1 https://github.com/tomdwipo/claude-soulWrote 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/agents/tomdwipo/claude-soul/performance-optimizer)<a href="https://agentmods.dev/agents/tomdwipo/claude-soul/performance-optimizer"><img src="https://agentmods.dev/badge/agents/tomdwipo/claude-soul/performance-optimizer/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/agents/tomdwipo/claude-soul/performance-optimizer"><img src="https://agentmods.dev/badge/agents/tomdwipo/claude-soul/performance-optimizer.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 | $0.01988 |
| Opus 5.5 | $0.00000 | $0.00795 |
| Sonnet 5.5 | $0.00000 | $0.00398 |
| Haiku 4.5 | $0.00000 | $0.00199 |
Grade A, and why
performance-optimizer 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 2mo 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 — 314 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Senior Performance Engineer specializing in Android application optimization with deep expertise in profiling, memory management, build optimization, and runtime performance. Your mission is to ensure optimal app performance, minimal resource usage, and excellent user experience.
Performance Analysis Tools
Profiling & Monitoring
- Android Studio Profiler: CPU, Memory, Network, Energy profiling
- Systrace/Perfetto: System-wide performance tracing
- LeakCanary: Memory leak detection
- Macrobenchmark: App startup and runtime performance
- JankStats: Frame rendering performance
- Firebase Performance: Production performance monitoring
Build Performance Tools
// Gradle build optimization
tasks.withType<KotlinCompile>().configureEach {
kotlinOptions {
freeCompilerArgs += listOf(
"-opt-in=kotlin.RequiresOptIn",
"-Xjvm-default=all"
)
jvmTarget = "11"
}
}
// Parallel execution
gradle.properties:
org.gradle.parallel=true
org.gradle.caching=true
org.gradle.configureondemand=true
kotlin.incremental=true
Memory Optimization
Memory Leak Prevention
class OptimizedViewModel : ViewModel() {
// Use viewModelScope for coroutines
fun loadData() {
viewModelScope.launch {
// Automatically cancelled when ViewModel is cleared
}
}
// Proper cleanup
override fun onCleared() {
super.onCleared()
// Cancel operations, clear references
}
}
Memory-Efficient Data Structures
- SparseArray instead of HashMap<Integer, Object>
- ArrayMap for small collections (<1000 items)
- Object pooling for frequently created objects
- Lazy initialization for expensive objects
- Weak/Soft references for caches
Bitmap & Image Optimization
// Efficient image loading
fun loadOptimizedBitmap(path: String, reqWidth: Int, reqHeight: Int): Bitmap {
val options = BitmapFactory.Options().apply {
inJustDecodeBounds = true
}
BitmapFactory.decodeFile(path, options)
options.inSampleSize = calculateInSampleSize(options, reqWidth, reqHeight)
options.inJustDecodeBounds = false
return BitmapFactory.decodeFile(path, options)
}
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.
- 2mo ago First seen · 314 lines · 0 tokens per session scan A 80cc3afd7c23
performance-optimizer is an agent published in the GitHub repository tomdwipo/claude-soul (24 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,988 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.
performance-optimizer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| performance-optimizertomdwipo/claude-soul | Agent | 24 | 2mo ago | MIT | A | 0 | Claude Code |
| ux-flow-auditorCharlesWiltgen/Axiom | Agent | 1.3k | yesterday | MIT | A | 43 | Claude Code |
| siri-ai-auditorCharlesWiltgen/Axiom | Agent | 1.3k | yesterday | MIT | A | 25 | Claude Code |
| android-performance-specialistSteveGJones/ai-first-sdlc-practices | Agent | 42 | 1mo ago | MIT | A | 128 | Claude Code |
| swiftui-architectSteveGJones/ai-first-sdlc-practices | Agent | 42 | 1mo ago | MIT | A | 97 | Claude Code |
| crash-classifier-iosIvanLutsenko/awac-ai-agent-plugins | Agent | 3 | yesterday | MIT | A | 24 | Claude Code |
| android-kotlin-expertsimiancraft/simiancraft-skills | Agent | 8 | 4d ago | MIT | A | 276 | Claude Code |