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-usagenpx skills add aymericzip/intlayer-skills --skill intlayer-usagegit 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-usage)<a href="https://agentmods.dev/skills/aymericzip/intlayer-skills/intlayer-usage"><img src="https://agentmods.dev/badge/skills/aymericzip/intlayer-skills/intlayer-usage.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 | $0.00045 | $0.00424 |
| Opus 5 | $0.00023 | $0.00212 |
| Sonnet 5 | $0.00009 | $0.00085 |
| Haiku 4.5 | $0.00005 | $0.00042 |
Grade A, and why
intlayer-usage 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 4d 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-usage — 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 Usage
To use Intlayer effectively:
-
Retrieve Locales: Check
intlayer.config.{ts,js,json,json5,jsonc,cjs,mjs},.intlayerrcto see the configured locales. -
Declare Content: We recommend creating one content declaration file per component, located alongside the component file. This keeps translations close to the code.
-
Consume Content: Use the provided hooks and functions to access your content.
Common Packages:
intlayer: Core package for content declaration and utility functions.react-intlayer: React components and hooks (e.g.,useIntlayer).vite-intlayer: Vite plugin for integration.
-
CLI Commands: Useful commands for managing your content:
npx intlayer build: Build the dictionaries from your content declarations.
References
What ships with it
7 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.
- 4d ago First seen · 45 lines · 45 tokens per session scan A 1926095a4a43
intlayer-usage is a skill published in the GitHub repository aymericzip/intlayer-skills (4 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 45 tokens to every session and 424 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to intlayer-usage, differing in 0 lines, and is treated as a copy.
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