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 termio-sh/termio --skill swiftui-performance-auditgit clone --depth 1 https://github.com/termio-sh/termioWrote 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/termio-sh/termio/swiftui-performance-audit)<a href="https://agentmods.dev/skills/termio-sh/termio/swiftui-performance-audit"><img src="https://agentmods.dev/badge/skills/termio-sh/termio/swiftui-performance-audit.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 5.1 | $0.00043 | $0.01142 |
| Opus 5 | $0.00022 | $0.00571 |
| Sonnet 5 | $0.00009 | $0.00228 |
| Haiku 4.5 | $0.00004 | $0.00114 |
Grade A, and why
performance-audit 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 7d 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 — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SwiftUI Performance Audit
Overview
Audit SwiftUI view performance from instrumentation and baselining to root-cause analysis and concrete remediation steps.
Workflow Decision Tree
- If user provides code: Start with Code-First Review
- If user only describes symptoms: Ask for minimal code/context, then Code-First Review
- If code review is inconclusive: Guide user to profile with Instruments
1. Code-First Review
Collect
- Target view/feature code
- Data flow: state, environment, observable models
- Symptoms and reproduction steps
Focus On
- View invalidation storms from broad state changes
- Unstable identity in lists (
idchurn,UUID()per render) - Heavy work in
body(formatting, sorting, image decoding) - Layout thrash (deep stacks,
GeometryReader, preference chains) - Large images without downsampling
- Over-animated hierarchies (implicit animations on large trees)
Provide
- Likely root causes with code references
- Suggested fixes and refactors
- Minimal repro or instrumentation suggestion if needed
2. Guide User to Profile
If code review is inconclusive, explain how to collect data:
- Use SwiftUI template in Instruments (Release build)
- Reproduce the exact interaction (scroll, navigation, animation)
- Capture SwiftUI timeline and Time Profiler
- Export or screenshot relevant lanes and call tree
Ask for:
- Trace export or screenshots
- Device/OS/build configuration
3. Common Code Smells (and Fixes)
Expensive formatters in body
Bad:
var body: some View {
let formatter = NumberFormatter() // Slow allocation every render
Text(formatter.string(from: value))
}
Good:
final class Formatters {
static let number = NumberFormatter()
}
var body: some View {
Text(Formatters.number.string(from: value))
}
Computed properties with heavy work
Bad:
var filtered: [Item] {
items.filter { $0.isEnabled } // Runs every body eval
}
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.
- 7d ago First seen · 203 lines · 43 tokens per session scan A 0e72f534f959
performance-audit is a skill published in the GitHub repository termio-sh/termio (408 stars, last pushed 2d ago), licensed MIT. It adds 43 tokens to every session and 1,142 once invoked, about $0.0002 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 2026-08-30.
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