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 TalissonVitorino/kmp-ios-skills --skill image-loadinggit clone --depth 1 https://github.com/TalissonVitorino/kmp-ios-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/talissonvitorino/kmp-ios-skills/image-loading)<a href="https://agentmods.dev/skills/talissonvitorino/kmp-ios-skills/image-loading"><img src="https://agentmods.dev/badge/skills/talissonvitorino/kmp-ios-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/talissonvitorino/kmp-ios-skills/image-loading"><img src="https://agentmods.dev/badge/skills/talissonvitorino/kmp-ios-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 | $0.00073 | $0.02977 |
| Opus 5.5 | $0.00029 | $0.01191 |
| Sonnet 5.5 | $0.00015 | $0.00595 |
| Haiku 4.5 | $0.00007 | $0.00298 |
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 — 449 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Loading Patterns for Mobile
Dependencies (Android - Coil)
dependencies {
implementation("io.coil-kt.coil3:coil-compose:3.5.0")
implementation("io.coil-kt.coil3:coil-network-okhttp:3.5.0")
}
Android / Compose with Coil
AsyncImage Composable
AsyncImage(
model = article.imageUrl,
contentDescription = "Article cover image",
contentScale = ContentScale.Crop,
placeholder = painterResource(R.drawable.placeholder),
error = painterResource(R.drawable.error_image),
modifier = Modifier
.fillMaxWidth()
.height(200.dp)
.clip(RoundedCornerShape(12.dp))
)
SubcomposeAsyncImage for Custom States
Uses subcomposition - avoid it in LazyColumn/LazyRow rows; there, use AsyncImage
with placeholder/error painters instead.
SubcomposeAsyncImage(
model = user.avatarUrl,
contentDescription = "User avatar",
modifier = Modifier
.size(64.dp)
.clip(CircleShape)
) {
// Coil 3: painter.state is a StateFlow, not a snapshot property
val state by painter.state.collectAsState()
when (state) {
is AsyncImagePainter.State.Loading -> {
ShimmerBox(modifier = Modifier.fillMaxSize())
}
is AsyncImagePainter.State.Error -> {
Icon(
imageVector = Icons.Default.Person,
contentDescription = null,
modifier = Modifier
.fillMaxSize()
.background(MaterialTheme.colorScheme.surfaceVariant)
.padding(16.dp)
)
}
else -> {
SubcomposeAsyncImageContent(contentScale = ContentScale.Crop)
}
}
}
ImageRequest Builder
AsyncImage(
model = ImageRequest.Builder(LocalContext.current)
.data(imageUrl)
.crossfade(300)
.size(Size.ORIGINAL)
.memoryCachePolicy(CachePolicy.ENABLED)
.diskCachePolicy(CachePolicy.ENABLED)
.build(),
contentDescription = "Photo",
contentScale = ContentScale.Fit,
modifier = Modifier.fillMaxWidth()
)
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 · 449 lines · 73 tokens per session scan A 3f839033419d
image-loading is a skill published in the GitHub repository TalissonVitorino/kmp-ios-skills (14 stars, last pushed 2mo ago), licensed MIT. It adds 73 tokens to every session and 2,977 once invoked, about $0.0003 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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