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 adilkalam/orca --skill ios-knowledge-skillgit clone --depth 1 https://github.com/adilkalam/orcaWrote 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/adilkalam/orca/ios-knowledge-skill)<a href="https://agentmods.dev/skills/adilkalam/orca/ios-knowledge-skill"><img src="https://agentmods.dev/badge/skills/adilkalam/orca/ios-knowledge-skill/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/adilkalam/orca/ios-knowledge-skill"><img src="https://agentmods.dev/badge/skills/adilkalam/orca/ios-knowledge-skill.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 | $0.00047 | $0.00865 |
| Opus 5.5 | $0.00019 | $0.00346 |
| Sonnet 5.5 | $0.00009 | $0.00173 |
| Haiku 4.5 | $0.00005 | $0.00086 |
Grade A, and why
ios-knowledge-skill 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 1mo 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
iOS Knowledge Skill – Architecture & Patterns
This skill equips agents with high-level iOS knowledge for the OS 7.0 iOS lane without bloating individual agent prompts.
It is intended for:
ios-grand-architectios-architect- Core iOS specialists (SwiftUI/UIKit/persistence/networking/testing/perf/security) when they need architectural context.
Context7 Libraries
When you load this skill, you MAY use context7 MCP tools to read from:
-
os2-ios-architecture- SwiftUI vs UIKit vs mixed stack guidance,
- MVVM/TCA/Clean patterns for iOS,
- Navigation, modularization, and dependency injection strategies.
-
os2-ios-standards- Coding standards for the iOS lane,
- Error handling and logging patterns,
- Guidelines for concurrency, testing, and app structure.
-
/websites/developer_apple_swiftdata(via Context7)- SwiftData models with @Model, @Relationship, cascade deletes
- Preferred over Core Data for iOS 17.0+ projects
- In-memory testing with ModelContainer
- Native, zero-dependency persistence
-
/ra1028/swiftui-atom-properties(via Context7)- Atomic state management for complex cross-feature coordination
- StateAtom, ValueAtom, ObservableObjectAtom patterns
- Testing with AtomTestContext
- Compile-safe dependency injection
-
/pointfreeco/swift-navigation(via Context7)- State-driven navigation with @CasePathable enums
- Sheet/modal presentation tied to model state
- Deep linking and state restoration
- Two-way bindings for navigation state
You SHOULD:
- Read only the sections relevant to the current task,
- Summarize 3–7 key constraints or patterns into your own working context,
- Avoid loading large example sections unless explicitly needed.
Usage Pattern
- When planning an iOS task:
- Load
ios-knowledge-skilland skim the relevant context7 docs. - Extract:
- Recommended UI stack (SwiftUI vs UIKit/TCA/MVVM),
- Data strategy hints (SwiftData vs Core Data/GRDB),
- Lane-specific constraints (design DNA/tokens, concurrency rules).
- Load
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.
- 1mo ago First seen · 100 lines · 47 tokens per session scan A 8e5db902bb48
ios-knowledge-skill is a skill published in the GitHub repository adilkalam/orca (2 stars, last pushed 2mo ago), licensed MIT. It adds 47 tokens to every session and 865 once invoked, about $0.0002 per session on Opus 5.5. 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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