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 Orkas-AI/Orkas-Awesome-AgentSkills --skill swiftui-devgit clone --depth 1 https://github.com/Orkas-AI/Orkas-Awesome-AgentSkillsWrote 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/orkas-ai/orkas-awesome-agentskills/swiftui-dev)<a href="https://agentmods.dev/skills/orkas-ai/orkas-awesome-agentskills/swiftui-dev"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas-awesome-agentskills/swiftui-dev/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/orkas-ai/orkas-awesome-agentskills/swiftui-dev"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas-awesome-agentskills/swiftui-dev.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 | $0.00131 | $0.01297 |
| Opus 5 | $0.00066 | $0.00648 |
| Sonnet 5 | $0.00026 | $0.00259 |
| Haiku 4.5 | $0.00013 | $0.00130 |
Grade A, and why
swiftui-dev 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.
This is a copy
86% identical to swiftui-dev — 19 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SwiftUI Dev
Use this skill for SwiftUI development, architecture, structure, performance, and Apple native app profiling. It combines:
- SwiftUI view refactor and Observation/MV guidance.
- SwiftUI code-first performance audit.
- Native macOS/iOS Time Profiler CLI workflow with
xctrace,atos, and included scripts.
Do not use this skill for web performance, server profiling, generic PR review, product planning, or non-Apple UI frameworks. For ordinary implementation work without SwiftUI architecture/performance/native profiling concerns, use the development skill.
Route The Work
| User intent | Read |
|---|---|
Refactor SwiftUI View structure, split large body, review Observation / MV / ViewModel boundaries |
references/swiftui-refactor.md |
| SwiftUI page is slow, scrolling janks, body updates too often, Instruments trace needs interpretation | references/swiftui-performance.md |
| Record/analyze macOS or iOS native Time Profiler traces from CLI, symbolicate and rank hotspots | references/native-trace.md |
| Need deeper Apple/WWDC context for SwiftUI update causes, hangs, Instruments lanes | Read the specific Apple summary files listed in the relevant reference |
If the user provides only symptoms, start with code-first SwiftUI review. Ask for trace/screenshots only when code review is inconclusive or the user explicitly wants trace analysis.
Required Inputs
For SwiftUI code review:
- Target view or feature code.
- Data flow:
@State,@Binding,@Environment,@Observable,@Query, services, models. - Symptoms and reproduction steps.
- Device/OS/build configuration when performance is involved.
For native profiling:
- App name and binary path, or existing
.tracebundle. - Attach PID or launch binary path.
- Slow interaction to exercise during capture.
- Capture duration, defaulting to 90 seconds.
- Matching symbols / binary and permission to launch or attach.
Proceed with explicit assumptions for code-only reviews. Stop before profiling if required tools or permissions are missing.
What ships with it
11 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.
- references/demystify-swiftui-performance-wwdc23.md 1.8 KB
- references/mv-patterns.md 7.7 KB
- references/native-trace.md 3.5 KB
- references/optimizing-swiftui-performance-instruments.md 1.8 KB
- references/swiftui-performance.md 2.9 KB
- references/swiftui-refactor.md 2.6 KB
- references/understanding-hangs-in-your-app.md 1.2 KB
- references/understanding-improving-swiftui-performance.md 2.2 KB
- scripts/extract_time_samples.py 1.1 KB runs code
- scripts/record_time_profiler.sh 1.3 KB runs code
- scripts/top_hotspots.py 4.0 KB runs code
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 · 101 lines · 0 tokens per session scan A 30d129181a48
swiftui-dev is a skill published in the GitHub repository Orkas-AI/Orkas-Awesome-AgentSkills (13 stars, last pushed 2mo ago), licensed MIT. It adds 131 tokens to every session and 1,297 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to swiftui-dev, differing in 19 lines, and is treated as a copy.
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