Borrowing it
Nothing to install: this file belongs to Vvlladd/AppStoreConnectMCP. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Vvlladd/AppStoreConnectMCP/main/.agents/skills/foundation-models/SKILL.mdgit clone --depth 1 https://github.com/Vvlladd/AppStoreConnectMCPWrote 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/vvlladd/appstoreconnectmcp/foundation-models)<a href="https://agentmods.dev/skills/vvlladd/appstoreconnectmcp/foundation-models"><img src="https://agentmods.dev/badge/skills/vvlladd/appstoreconnectmcp/foundation-models.svg" alt="Measured on agentmods" 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 | $0.00028 | $0.00943 |
| Opus 5 | $0.00014 | $0.00472 |
| Sonnet 5 | $0.00006 | $0.00189 |
| Haiku 4.5 | $0.00003 | $0.00094 |
Grade A, and why
Apple Foundation Models 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.
How it starts
The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apple Foundation Models Skill
When to Use This Skill
Use this skill when you need help with:
- On-device AI: Building iOS/macOS apps with on-device language models
- SystemLanguageModel: Working with Apple's on-device LLM API
- Guided Generation: Generating structured Swift types from prompts
- Tool Calling: Extending model capabilities with custom tools
- Prompting: Crafting effective prompts for on-device models
- Safety: Implementing guardrails and handling sensitive content
- Localization: Supporting multilingual AI features
This skill covers iOS 26.0+, iPadOS 26.0+, macOS 26.0+, and visionOS 26.0+.
Description
Use this skill when working with Apple's Foundation Models framework for on-device AI and LLM capabilities in iOS/macOS apps. Covers SystemLanguageModel, LanguageModelSession, guided generation, tool calling, and prompting patterns.
Quick Reference
Core Components
Advanced
TranscriptTranscript.EntryTranscript.ResponseTranscript.ResponseFormatTranscript.SegmentTranscript.StructuredSegment
Api Reference
FoundationModelsGenerationIDSystemLanguageModelSystemLanguageModel.AdapterSystemLanguageModel.GuardrailsSystemLanguageModel.UseCase
Getting Started
SystemLanguageModel.Availability
Guided Generation
DynamicGenerationSchemaGenerableGenerationGuideGenerationSchemaGuide
Localization
LanguageModelFeedback
Prompting
InstructionsInstructionsBuilderInstructionsRepresentableLanguageModelSessionLanguageModelSession.GenerationErrorLanguageModelSession.ToolCallErrorPromptPromptBuilderPromptRepresentableTranscript.InstructionsTranscript.Prompt
Tool Calling
Tool
Key Concepts
Platform Support
- iOS 26.0+
- iPadOS 26.0+
- macOS 26.0+
- Mac Catalyst 26.0+
- visionOS 26.0+
On-Device AI
All models run entirely on-device, ensuring privacy and offline capability.
What ships with it
9 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.
- 7d ago First seen · 156 lines · 28 tokens per session scan A eb69714e0abe
Apple Foundation Models is a skill published in the GitHub repository Vvlladd/AppStoreConnectMCP (8 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 943 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 2026-08-31.
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