swiftui-performance-audit

swiftui-performance-audit is a skill for Claude Code, Codex from dagba/ios-mcp. It costs 66 tokens per session (1,238 once invoked), scanned A, a copy of swiftui-performance-audit, MIT.

A review guide for finding and fixing slow SwiftUI app screens, including slow drawing, jerky scrolling, high processor or memory use, and unnecessary view updates.

In plain words
What is it for?
Use it to review SwiftUI views, state flow, lists, images, layout, and animations. It also helps guide profiling with Apple’s Instruments tool when code review is not enough.
Why use it?
It helps connect visible performance problems to likely causes in the code, so developers know what to change or measure next.

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 review SwiftUI views, state flow, lists, images, layout, and animations. It also helps guide profiling with Apple’s Instruments tool when code review is not enough.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dagba/ios-mcp/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 dagba/ios-mcp --skill swiftui-performance-audit
Clone the repo
git clone --depth 1 https://github.com/dagba/ios-mcp

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 swiftui-performance-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/dagba/ios-mcp/swiftui-performance-audit.svg)](https://agentmods.dev/skills/dagba/ios-mcp/swiftui-performance-audit)
Your own site
<a href="https://agentmods.dev/skills/dagba/ios-mcp/swiftui-performance-audit"><img src="https://agentmods.dev/badge/skills/dagba/ios-mcp/swiftui-performance-audit.svg" alt="Measured on agentmods" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,238 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 83% copy Near-identical to another mod 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 $0.00066 $0.01238
Opus 5 $0.00033 $0.00619
Sonnet 5 $0.00013 $0.00248
Haiku 4.5 $0.00007 $0.00124

Measured 7d ago against content hash e7a8b28a6a50, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

swiftui-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.

Origin

This is a copy

83% identical to swiftui-performance-audit — 16 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/swiftui-performance-audit/SKILL.md · 188 lines

How it starts

The opening of the file, as written. The whole thing — 188 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 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 a trace or screenshots.

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 or resizing.
  • Over-animated hierarchies (implicit animations on large trees).

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 with Instruments:

  • Use the SwiftUI template in Instruments (Release build).
  • Reproduce the exact interaction (scroll, navigation, animation).
  • Capture SwiftUI timeline and Time Profiler.
  • Export or screenshot the relevant lanes and the call tree.

Ask for:

  • Trace export or screenshots of SwiftUI lanes + Time Profiler call tree.
  • Device/OS/build configuration.

3. Analyze and Diagnose

Prioritize likely SwiftUI culprits:

  • 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 or resizing.
  • Over-animated hierarchies (implicit animations on large trees).

Summarize findings with evidence from traces/logs.

Read the full file on GitHub · 188 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 188 lines · 66 tokens per session scan A e7a8b28a6a50

Subscribe to this mod's changes

swiftui-performance-audit is a skill published in the GitHub repository dagba/ios-mcp (3 stars, last pushed 7mo ago), licensed MIT. It adds 66 tokens to every session and 1,238 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to swiftui-performance-audit, differing in 16 lines, and is treated as a copy.

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