performance-audit

performance-audit is a skill for Claude Code, Codex from termio-sh/termio. It costs 43 tokens per session (1,142 once invoked), scanned A, original, MIT.

A review process for finding and fixing slow or uneven performance in SwiftUI, Apple's framework for building app interfaces. It examines code first and uses Instruments, Apple's profiling tool, when code review is not enough.

In plain words
What is it for?
Use it to investigate SwiftUI screens with excessive updates, unstable list items, heavy work during rendering, large images, deep layouts, or too many animations.
Why use it?
It helps identify why an app renders slowly, scrolls unevenly, uses too much CPU or memory, or repeatedly recalculates its layout.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to investigate SwiftUI screens with excessive updates, unstable list items…

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Install with agentmods
npx agentmods add skills/termio-sh/termio/swiftui-performance-audit
Install

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.

Any agent
npx skills add termio-sh/termio --skill swiftui-performance-audit
Clone the repo
git clone --depth 1 https://github.com/termio-sh/termio

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for performance-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/termio-sh/termio/swiftui-performance-audit.svg)](https://agentmods.dev/skills/termio-sh/termio/swiftui-performance-audit)
Your own site
<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>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,142 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 7d ago against content hash 0e72f534f959, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

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.

skills/swiftui-performance-audit/SKILL.md · 203 lines

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

  1. If user provides code: Start with Code-First Review
  2. If user only describes symptoms: Ask for minimal code/context, then Code-First Review
  3. 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 (id churn, 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:

  1. Use SwiftUI template in Instruments (Release build)
  2. Reproduce the exact interaction (scroll, navigation, animation)
  3. Capture SwiftUI timeline and Time Profiler
  4. 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
}

Read the full file on GitHub · 203 lines

Changes

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.

  1. 7d ago First seen · 203 lines · 43 tokens per session scan A 0e72f534f959

Subscribe to this mod's changes

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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