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 agentmods add skills/mapbox/mapbox-agent-skills/mapbox-ios-patternsnpx skills add mapbox/mapbox-agent-skills --skill mapbox-ios-patternsgit clone --depth 1 https://github.com/mapbox/mapbox-agent-skillsWhat 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 | $0.00047 | $0.02368 |
| Opus 5 | $0.00023 | $0.01184 |
| Sonnet 5 | $0.00009 | $0.00474 |
| Haiku 4.5 | $0.00005 | $0.00237 |
Grade A, and why
mapbox-ios-patterns 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 2d 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 — 347 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mapbox iOS Integration Patterns
Official patterns for integrating Mapbox Maps SDK v11 on iOS with Swift, SwiftUI, and UIKit.
Use this skill when:
- Installing and configuring Mapbox Maps SDK for iOS
- Adding markers and annotations to maps
- Showing user location and tracking with camera
- Adding custom data (GeoJSON) to maps
- Working with map styles, camera, or user interaction
- Handling feature interactions and taps
Official Resources:
Installation & Setup
Requirements
- iOS 14+
- Xcode 15+
- Swift 5.9+
- Free Mapbox account
Step 1: Configure Access Token
Add your public token to Info.plist:
<key>MBXAccessToken</key>
<string>pk.your_mapbox_token_here</string>
Get your token: Sign in at mapbox.com
Step 2: Add Swift Package Dependency
- File → Add Package Dependencies
- Enter URL:
https://github.com/mapbox/mapbox-maps-ios.git - Version: "Up to Next Major" from
11.0.0 - Verify four dependencies appear: MapboxCommon, MapboxCoreMaps, MapboxMaps, Turf
Alternative: CocoaPods or direct download (install guide)
Map Initialization
SwiftUI Pattern
Basic map:
import SwiftUI
import MapboxMaps
struct ContentView: View {
@State private var viewport: Viewport = .camera(
center: CLLocationCoordinate2D(latitude: 37.7749, longitude: -122.4194),
zoom: 12
)
var body: some View {
Map(viewport: $viewport)
.mapStyle(.standard)
}
}
With ornaments:
Map(viewport: $viewport)
.mapStyle(.standard)
.ornamentOptions(OrnamentOptions(
scaleBar: .init(visibility: .visible),
compass: .init(visibility: .adaptive),
logo: .init(position: .bottomLeading)
))
What ships with it
7 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.
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.
- 2d ago First seen · 347 lines · 47 tokens per session scan A 82112821943d
mapbox-ios-patterns is a skill published in the GitHub repository mapbox/mapbox-agent-skills (74 stars, last pushed 7d ago), licensed MIT. It adds 47 tokens to every session and 2,368 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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