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 rshankras/claude-code-apple-skills --skill image-loadinggit clone --depth 1 https://github.com/rshankras/claude-code-apple-skillsWrote 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/rshankras/claude-code-apple-skills/image-loading)<a href="https://agentmods.dev/skills/rshankras/claude-code-apple-skills/image-loading"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/image-loading/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/rshankras/claude-code-apple-skills/image-loading"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/image-loading.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.01641 |
| Opus 5.5 | $0.00018 | $0.00656 |
| Sonnet 5.5 | $0.00009 | $0.00328 |
| Haiku 4.5 | $0.00005 | $0.00164 |
Grade A, and why
image-loading 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 — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Loading Generator
Generate a production image loading pipeline with NSCache memory cache, LRU disk cache, request deduplication, image processing, and a drop-in CachedAsyncImage SwiftUI view.
When This Skill Activates
Use this skill when the user:
- Asks to "add image caching" or "cache images"
- Wants to "replace AsyncImage" or fix "AsyncImage has no cache"
- Mentions "image loading pipeline" or "lazy image loading"
- Asks about "image download" or "image prefetching"
- Wants "thumbnail generation" or "image resizing"
Pre-Generation Checks
1. Project Context Detection
- Check Swift version (requires Swift 5.9+)
- Check deployment target (iOS 16+ / macOS 13+)
- Check for @Observable support (iOS 17+ / macOS 14+)
- Identify source file locations
2. Conflict Detection
Search for existing image loading:
Glob: **/*ImageCache*.swift, **/*ImageLoader*.swift, **/*ImagePipeline*.swift
Grep: "AsyncImage" or "UIImage" or "NSImage" or "ImageCache"
If third-party library found (Kingfisher, SDWebImage, Nuke):
- Ask if user wants to replace or keep it
- If keeping, don't generate — advise on best practices instead
3. Platform Detection
Determine if generating for iOS (UIImage) or macOS (NSImage) or both (cross-platform typealias).
Configuration Questions
Ask user via AskUserQuestion:
-
Cache sizes?
- Small (50 MB memory / 100 MB disk)
- Medium (100 MB memory / 250 MB disk) — recommended
- Large (200 MB memory / 500 MB disk)
-
Image processing?
- Resize to fit (downscale large images to save memory)
- Thumbnail generation (create small thumbnails for lists)
- None (cache original images only)
-
Additional features? (multi-select)
- Prefetching for collections (preload images for visible rows + buffer)
- Placeholder and error images
- Progress indicator during download
-
Platform?
- iOS only
- macOS only
- Cross-platform (iOS + macOS)
Generation Process
What ships with it
2 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.
- 1mo ago First seen · 212 lines · 46 tokens per session scan A 4c0f3aa16a71
image-loading is a skill published in the GitHub repository rshankras/claude-code-apple-skills (816 stars, last pushed 2mo ago), licensed MIT. It adds 46 tokens to every session and 1,641 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 2026-08-30.
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