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 ComeOnOliver/skillshub --skill axiom-extensions-widgets-refgit clone --depth 1 https://github.com/ComeOnOliver/skillshubWrote 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/comeonoliver/skillshub/axiom-extensions-widgets-ref)<a href="https://agentmods.dev/skills/comeonoliver/skillshub/axiom-extensions-widgets-ref"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/axiom-extensions-widgets-ref/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/comeonoliver/skillshub/axiom-extensions-widgets-ref"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/axiom-extensions-widgets-ref.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 | $0.00046 | $0.09263 |
| Opus 5 | $0.00023 | $0.04632 |
| Sonnet 5 | $0.00009 | $0.01853 |
| Haiku 4.5 | $0.00005 | $0.00926 |
Grade A, and why
axiom-extensions-widgets-ref 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 9d 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 — 1,288 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Extensions & Widgets API Reference
Overview
This skill provides comprehensive API reference for Apple's widget and extension ecosystem:
- Standard Widgets (iOS 14+) — Home Screen, Lock Screen, StandBy widgets
- Interactive Widgets (iOS 17+) — Buttons and toggles with App Intents
- Live Activities (iOS 16.1+) — Real-time updates on Lock Screen and Dynamic Island
- Control Center Widgets (iOS 18+) — System-wide quick controls
- Liquid Glass Widgets (iOS 26+) — Accented rendering, glass effects, container backgrounds
- visionOS Widgets (visionOS 2+) — Mounting styles, textures, proximity awareness
- App Extensions — Shared data, lifecycle, entitlements
Widgets are SwiftUI archived snapshots rendered on a timeline by the system. Extensions are sandboxed executables bundled with your app.
When to Use This Skill
✅ Use this skill when:
- Implementing any type of widget (Home Screen, Lock Screen, StandBy)
- Creating Live Activities for ongoing events
- Building Control Center controls
- Sharing data between app and extensions
- Understanding widget timelines and refresh policies
- Integrating widgets with App Intents
- Adopting Liquid Glass rendering in widgets
- Supporting watchOS or visionOS widgets
- Implementing visionOS mounting styles, textures, or proximity awareness
❌ Do NOT use this skill for:
- Pure App Intents questions (use app-intents-ref skill)
- SwiftUI layout issues (use swiftui-layout skill)
- Performance optimization (use swiftui-performance skill)
- Debugging crashes (use xcode-debugging skill)
Related Skills
- app-intents-ref — App Intents for interactive widgets and configuration
- swift-concurrency — Async/await patterns for widget data loading
- swiftui-performance — Optimizing widget rendering
- swiftui-layout — Complex widget layouts
- extensions-widgets — Discipline skill with anti-patterns and debugging
Key Terminology
- Timeline — Series of entries defining when/what content to display; system shows entries at specified times
- TimelineProvider — Protocol supplying timeline entries (placeholder, snapshot, timeline generation)
- TimelineEntry — Struct with widget data + display date
- Timeline Budget — Daily limit (40-70) for timeline reloads
- Budget-Exempt — Reloads that don't count (user-initiated, app foregrounding, system-initiated)
- Widget Family — Size/shape (systemSmall, systemMedium, accessoryCircular, etc.)
- App Groups — Entitlement for shared data container between app and extensions
- ActivityAttributes — Static data (set once) + dynamic ContentState (updated during lifecycle)
- ContentState — Changing part of ActivityAttributes; must be under 4KB total
- Dynamic Island — iPhone 14 Pro+ Live Activity display; compact, minimal, and expanded sizes
- ControlWidget — iOS 18+ widgets for Control Center, Lock Screen, and Action Button
- Supplemental Activity Families — Enables Live Activities on Apple Watch or CarPlay
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.
- 9d ago First seen · 1,288 lines · 46 tokens per session scan A 24b72d67311a
axiom-extensions-widgets-ref is a skill published in the GitHub repository ComeOnOliver/skillshub (63 stars, last pushed 2mo ago), licensed MIT. It adds 46 tokens to every session and 9,263 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 2026-09-03.
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