mapsgl-apple

mapsgl-apple is a skill for Claude Code from vaisala-xweather/xweather-agent-skills. It costs 227 tokens per session (8,271 once invoked), scanned C, original, MIT.

An Apple-platform software kit for displaying weather and custom map data in iOS, iPadOS, Mac Catalyst, and visionOS apps. It works with Mapbox or MapLibre, which are libraries for adding interactive maps.

In plain words
What is it for?
Use it to install the SDK, create a map controller, and add, remove, style, or animate weather and custom data layers.
Why use it?
It provides the platform-specific setup and map controls needed to add Xweather layers to a Swift app.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the xweather plugin — 6 skills shipped together

Good fit Use it to install the SDK, create a map controller, and add, remove, style, or animate weather and custom data layers.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vaisala-xweather/xweather-agent-skills/mapsgl-apple
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 vaisala-xweather/xweather-agent-skills --skill mapsgl-apple
Clone the repo
git clone --depth 1 https://github.com/vaisala-xweather/xweather-agent-skills

Made for: Claude Code.

Or install xweather, the plugin that ships this one along with the rest of its 6 skills.

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 mapsgl-apple

README.md
[![agentmods](https://agentmods.dev/badge/skills/vaisala-xweather/xweather-agent-skills/mapsgl-apple/github.svg)](https://agentmods.dev/skills/vaisala-xweather/xweather-agent-skills/mapsgl-apple)
Your own site
<a href="https://agentmods.dev/skills/vaisala-xweather/xweather-agent-skills/mapsgl-apple"><img src="https://agentmods.dev/badge/skills/vaisala-xweather/xweather-agent-skills/mapsgl-apple/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.

agentmods 80×15 button for mapsgl-apple

Your own site · 80×15
<a href="https://agentmods.dev/skills/vaisala-xweather/xweather-agent-skills/mapsgl-apple"><img src="https://agentmods.dev/badge/skills/vaisala-xweather/xweather-agent-skills/mapsgl-apple.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 227 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,271 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found 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 $0.00227 $0.08271
Opus 5.5 $0.00091 $0.03308
Sonnet 5.5 $0.00045 $0.01654
Haiku 4.5 $0.00023 $0.00827

Measured 16d ago against content hash 6057a38eaffd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

mapsgl-apple scanned grade C with 2 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 16d 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.

Reaches for credential fileshighPrivilege escalation

SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.

token configured in `~/.netrc` so SPM/CocoaPods can fetch the Mapbox SDK at all. The secret

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s https://www.xweather.com/docs/api/releases/versions \
plugins/xweather/skills/mapsgl-apple/SKILL.md · 675 lines

How it starts

The opening of the file, as written. The whole thing — 675 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MapsGL for Apple platforms

The Xweather MapsGL SDK for Apple platforms renders weather and custom map data client-side with Metal, layered on top of Mapbox Maps or MapLibre Native. It requires an active Xweather account with Weather API + Maps access (client id + secret).

Platform support comes from the package manifest: iOS 16+, macCatalyst 16+, visionOS 1+. There is no native macOS (AppKit) target — a "macOS" app here means Mac Catalyst.

Docs: https://www.xweather.com/docs/mapsgl-apple-sdk/getting-started · Distribution + demo app: https://github.com/vaisala-xweather/mapsgl-apple-sdk

Ask which map provider unless the context tells you

The map provider is not a stylistic preference that can be defaulted: Mapbox and MapLibre resolve different Swift Package branches, different transitive SDKs, and different map-view types. Getting it wrong means the code doesn't compile and the package graph has to be redone.

So infer it when the context actually says, and ask when it doesn't. Never pick one by default.

Infer it from evidence like:

  • the user named the provider in their request;
  • the project already integrates one — an import MapsGLMapbox / import MapsGLMapLibre, a resolved mapbox-maps-ios or maplibre-gl-native-distribution dependency, a Podfile naming one, an MLNMapView or MapboxMaps.MapView in the source, or a MBXAccessToken in an Info.plist;
  • the project already uses the provider's SDK elsewhere, even without MapsGL — a Mapbox-based map screen means Mapbox.

When you infer, say which provider you picked and what told you, so a wrong read is cheap to correct.

Ask when the evidence is absent or contradictory — a greenfield app, a project with no map dependency yet, or one carrying traces of both. Weak circumstantial signals ("we want a dark map style", "our designer sent Mapbox screenshots") are not evidence of an integration; ask rather than build the whole package graph on them.

Trade-offs to offer alongside the question, briefly:

Read the full file on GitHub · 675 lines

Files

What ships with it

8 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. 16d ago Changed 6057a38eaffd
  2. 18d ago Changed 037595398ec1
  3. 29d ago Changed · +10 lines 8d40c9f18b49
  4. 1mo ago Changed 7d625d4698b4
  5. 1mo ago Changed d598338d2d0c
  6. 2mo ago Changed 5992162ceab0
  7. 2mo ago First seen · 665 lines · 227 tokens per session scan C ff58dcb1223f

Subscribe to this mod's changes

mapsgl-apple is a skill published in the GitHub repository vaisala-xweather/xweather-agent-skills (6 stars, last pushed 16d ago), licensed MIT. It adds 227 tokens to every session and 8,271 once invoked, about $0.0009 per session on Opus 5.5. A static security scan graded it C with 2 findings (reaches for credential files, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

mapsgl-apple compared with skills from other repositories

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