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 MonumentalSystems/Atlas-Agent-Teams --skill ios-developmentgit clone --depth 1 https://github.com/MonumentalSystems/Atlas-Agent-TeamsWrote 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/monumentalsystems/atlas-agent-teams/ios-development)<a href="https://agentmods.dev/skills/monumentalsystems/atlas-agent-teams/ios-development"><img src="https://agentmods.dev/badge/skills/monumentalsystems/atlas-agent-teams/ios-development/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/monumentalsystems/atlas-agent-teams/ios-development"><img src="https://agentmods.dev/badge/skills/monumentalsystems/atlas-agent-teams/ios-development.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 | $0.00015 | $0.00576 |
| Opus 5 | $0.00008 | $0.00288 |
| Sonnet 5 | $0.00003 | $0.00115 |
| Haiku 4.5 | $0.00002 | $0.00058 |
Grade A, and why
ios-development 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 5d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
iOS Development Guidelines
Swift and SwiftUI Fundamentals
- Use Swift 5.9+ with modern language features
- Prefer SwiftUI for new UI components
- Use property wrappers (@State, @Binding, @ObservedObject, @StateObject) appropriately
- Leverage async/await for asynchronous operations
- Use Swift concurrency actors for thread-safe code
- Follow Swift API design guidelines
UIKit and AppKit Patterns
- Maintain compatibility with UIKit where needed
- Use view controllers with proper lifecycle management
- Implement Auto Layout constraints correctly
- Use delegation and notification patterns appropriately
- Handle memory management with ARC best practices
- Use storyboards and XIBs sparingly; prefer programmatic UI
iOS Architecture Patterns
- MVVM: Use for SwiftUI-based applications
- MVC: Use for UIKit-based applications
- Coordinator: Use for complex navigation flows
- Implement dependency injection for testability
- Separate business logic from UI code
- Use protocols for abstraction and testing
Core Data and Persistence
- Use Core Data for complex data models
- Consider SwiftData for SwiftUI applications
- Use UserDefaults for simple key-value storage
- Implement proper data migration strategies
- Use background contexts for heavy operations
- Follow Core Data best practices for performance
iOS Frameworks
- Combine: Use for reactive programming
- SwiftUI: Use for declarative UI
- ARKit: Use for augmented reality features
- CoreML: Use for machine learning integration
- MapKit: Use for mapping and location
- CoreLocation: Use for GPS and location services
- AVFoundation: Use for media capture and playback
- WidgetKit: Use for home screen widgets
App Store Submission and Review Guidelines
- Follow App Store Review Guidelines
- Implement proper in-app purchase handling
- Use App Store Connect for distribution
- Prepare screenshots and metadata
- Test on TestFlight before release
- Handle app updates and versioning properly
- Comply with privacy and data collection policies
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.
- 5d ago First seen · 77 lines · 15 tokens per session scan A 2633fb70eaac
ios-development is a skill published in the GitHub repository MonumentalSystems/Atlas-Agent-Teams (21 stars, last pushed 28d ago), licensed MIT. It adds 15 tokens to every session and 576 once invoked, about $0.0001 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 2026-09-03.
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