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 ComeOnOliver/skillshub --skill swiftui-expert-skillgit clone --depth 1 https://github.com/ComeOnOliver/skillshubWrote 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/comeonoliver/skillshub/swiftui-expert-skill)<a href="https://agentmods.dev/skills/comeonoliver/skillshub/swiftui-expert-skill"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/swiftui-expert-skill/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/skills/comeonoliver/skillshub/swiftui-expert-skill"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/swiftui-expert-skill.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 | $0.00067 | $0.01351 |
| Opus 5.5 | $0.00027 | $0.00540 |
| Sonnet 5.5 | $0.00013 | $0.00270 |
| Haiku 4.5 | $0.00007 | $0.00135 |
Grade A, and why
swiftui-expert-skill 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.
This is a copy
94% identical to swiftui-expert-skill — 5 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.
How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SwiftUI Expert Skill
Operating Rules
- Consult
references/latest-apis.mdat the start of every task to avoid deprecated APIs - Prefer native SwiftUI APIs over UIKit/AppKit bridging unless bridging is necessary
- Focus on correctness and performance; do not enforce specific architectures (MVVM, VIPER, etc.)
- Encourage separating business logic from views for testability without mandating how
- Follow Apple's Human Interface Guidelines and API design patterns
- Only adopt Liquid Glass when explicitly requested by the user (see
references/liquid-glass.md) - Present performance optimizations as suggestions, not requirements
- Use
#availablegating with sensible fallbacks for version-specific APIs
Task Workflow
Review existing SwiftUI code
- Read the code under review and identify which topics apply
- Flag deprecated APIs (compare against
references/latest-apis.md) - Run the Topic Router below for each relevant topic
- Validate
#availablegating and fallback paths for iOS 26+ features
Improve existing SwiftUI code
- Audit current implementation against the Topic Router topics
- Replace deprecated APIs with modern equivalents from
references/latest-apis.md - Refactor hot paths to reduce unnecessary state updates
- Extract complex view bodies into separate subviews
- Suggest image downsampling when
UIImage(data:)is encountered (optional optimization, seereferences/image-optimization.md)
Implement new SwiftUI feature
- Design data flow first: identify owned vs injected state
- Structure views for optimal diffing (extract subviews early)
- Apply correct animation patterns (implicit vs explicit, transitions)
- Use
Buttonfor all tappable elements; add accessibility grouping and labels - Gate version-specific APIs with
#availableand provide fallbacks
Topic Router
Consult the reference file for each topic relevant to the current task:
| Topic | Reference |
|---|---|
| State management | references/state-management.md |
| View composition | references/view-structure.md |
| Performance | references/performance-patterns.md |
| Lists and ForEach | references/list-patterns.md |
| Layout | references/layout-best-practices.md |
| Sheets and navigation | references/sheet-navigation-patterns.md |
| ScrollView | references/scroll-patterns.md |
| Animations (basics) | references/animation-basics.md |
| Animations (transitions) | references/animation-transitions.md |
| Animations (advanced) | references/animation-advanced.md |
| Accessibility | references/accessibility-patterns.md |
| Swift Charts | references/charts.md |
| Charts accessibility | references/charts-accessibility.md |
| Image optimization | references/image-optimization.md |
| Liquid Glass (iOS 26+) | references/liquid-glass.md |
| macOS scenes | references/macos-scenes.md |
| macOS window styling | references/macos-window-styling.md |
| macOS views | references/macos-views.md |
| Deprecated API lookup | references/latest-apis.md |
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 · 104 lines · 67 tokens per session scan A a94eea037cf8
swiftui-expert-skill is a skill published in the GitHub repository ComeOnOliver/skillshub (65 stars, last pushed 4mo ago), licensed MIT. It adds 67 tokens to every session and 1,351 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to swiftui-expert-skill, differing in 5 lines, and is treated as a copy.
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