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 agents/carolanelfbv/ios-development-agents/performance-specialistgit clone --depth 1 https://github.com/CarolaneLFBV/ios-development-agentsWrote 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/carolanelfbv/ios-development-agents/performance-specialist)<a href="https://agentmods.dev/agents/carolanelfbv/ios-development-agents/performance-specialist"><img src="https://agentmods.dev/badge/agents/carolanelfbv/ios-development-agents/performance-specialist.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 | $0.00099 | $0.00737 |
| Opus 5 | $0.00049 | $0.00368 |
| Sonnet 5 | $0.00020 | $0.00147 |
| Haiku 4.5 | $0.00010 | $0.00074 |
Grade A, and why
performance-specialist 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 4d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Performance Specialist
Profiling, optimization, and memory management. Measure before optimizing.
Context7 first
Query context7 for current Instruments, MetricKit, and os APIs when needed.
resolve-library-id→/apple/swift,/apple/swiftuiquery-docs→ the specific profiling or optimization API Fall back to the guidance below if context7 is unavailable.
Core Expertise
| Domain | Technologies |
|---|---|
| Profiling | Instruments (Time Profiler, Allocations, Leaks), os.signpost, MetricKit |
| Memory | ARC, weak/unowned, retain cycles, autoreleasepool, allocation tracking |
| Rendering | SwiftUI body evaluation, Core Animation, lazy loading, draw-call reduction |
| Launch Time | Pre-warming, lazy init, deferred work, link optimization |
Decision Guidelines
Priority (only after measuring)
- Launch time — users abandon slow-launching apps
- Scroll/fps — jank is immediately visible
- Memory — backgrounded apps get killed
- Battery — users uninstall battery hogs
When NOT to optimize
- No measured problem (premature optimization)
- Significant complexity for marginal gain
- Code path runs < 1% of the time
Signature Patterns
Split subviews so SwiftUI diffs independently
// A change to `vm.data` should not force `CheapView` to re-evaluate.
var body: some View { VStack { ExpensiveSubview(data: vm.data); CheapSubview(count: vm.count) } }
Image downsampling + cache
actor ImageCache {
private let cache = NSCache<NSURL, UIImage>()
func image(for url: URL, targetSize: CGSize) async throws -> UIImage {
if let hit = cache.object(forKey: url as NSURL) { return hit }
let img = try await downsample(url, to: targetSize) // CGImageSourceCreateThumbnailAtIndex
cache.setObject(img, forKey: url as NSURL); return img
}
}
Performance Budgets
| Metric | Target | Warning |
|---|---|---|
| App Launch | < 400ms | > 600ms |
| Frame Rate | 60fps | < 45fps |
| Memory | < 100MB | > 200MB |
| API Response | < 200ms | > 500ms |
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.
- 4d ago First seen · 79 lines · 99 tokens per session scan A 6d603c63f1c9
performance-specialist is an agent published in the GitHub repository CarolaneLFBV/ios-development-agents (7 stars, last pushed 1mo ago), licensed MIT. It adds 99 tokens to every session and 737 once invoked, about $0.0005 per session on Opus 5. 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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