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 agentmods add skills/aymericzip/intlayer-skills/intlayer-preactnpx skills add aymericzip/intlayer-skills --skill intlayer-preactgit clone --depth 1 https://github.com/aymericzip/intlayer-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/aymericzip/intlayer-skills/intlayer-preact)<a href="https://agentmods.dev/skills/aymericzip/intlayer-skills/intlayer-preact"><img src="https://agentmods.dev/badge/skills/aymericzip/intlayer-skills/intlayer-preact.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 | $0.00052 | $0.00554 |
| Opus 5 | $0.00026 | $0.00277 |
| Sonnet 5 | $0.00010 | $0.00111 |
| Haiku 4.5 | $0.00005 | $0.00055 |
Grade A, and why
intlayer-preact 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 5d 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.
This is a copy
100% identical to intlayer-preact — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Intlayer Preact Usage
Core Philosophy
Intlayer promotes Component-Level Content Declaration. Instead of a massive global translation file, content is declared in *.content.ts files adjacent to the Preact components that use them.
Workflow
To create a translated component, you need two files:
- Declaration: A content file (e.g.,
myComponent.content.ts) defining the dictionary. - Implementation: A Preact component (e.g.,
MyComponent.tsx) using theuseIntlayerhook.
Declare Content
Create a content file using t() for translations.
File: src/components/MyComponent/myComponent.content.ts
import { t, type Dictionary } from "intlayer";
const content = {
// The 'key' must be unique and matches what you pass to useIntlayer()
key: "my-component",
content: {
text: t({
en: "Welcome",
fr: "Bienvenue",
es: "Hola",
}),
},
} satisfies Dictionary;
export default content;
Setup
useIntlayer Hook
import { useIntlayer } from "preact-intlayer";
const MyComponent = () => {
const content = useIntlayer("my-component");
return (
<div>
<h1>
{/* Return content */}
{content.text}
</h1>
{/* Return string (.value) */}
<img src={content.text.value} alt={content.text.value} />
</div>
);
};
References
What ships with it
4 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.
- 5d ago First seen · 84 lines · 52 tokens per session scan A fb1cee14a169
intlayer-preact is a skill published in the GitHub repository aymericzip/intlayer-skills (4 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 52 tokens to every session and 554 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to intlayer-preact, differing in 0 lines, and is treated as a copy.
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