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/objectstack-ai/objectstack/objectstack-i18nnpx skills add objectstack-ai/objectstack --skill objectstack-i18ngit clone --depth 1 https://github.com/objectstack-ai/objectstackWhat 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 | $0.00084 | $0.06166 |
| Opus 5 | $0.00042 | $0.03083 |
| Sonnet 5 | $0.00017 | $0.01233 |
| Haiku 4.5 | $0.00008 | $0.00617 |
Grade A, and why
objectstack-i18n 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 yesterday.
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 — 728 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Internationalization — ObjectStack I18n Protocol
Expert instructions for designing internationalization (i18n) and localization (l10n) strategies using the ObjectStack specification. This skill covers translation bundle structures, locale configuration, object-first translation patterns, coverage detection, and integration with the I18nService.
When to Use This Skill
- You are configuring i18n for a new ObjectStack project.
- You need to create translation bundles for multiple locales.
- You are designing object-first translation structures (per-object translation files).
- You need to detect missing translations (
os i18n checkcoverage analysis). - You are extending the service contract with AI translation suggestions (TMS / machine-translation integrations).
- You are implementing locale-specific formatting (dates, numbers, currency).
Related: workspace regional defaults (
timezone,locale,currency) live in the tenant-scopedlocalizationsettings, are resolved onto each request'sExecutionContext, and are exposed atGET /api/v1/auth/me/localization; a currency field falls back tolocalization.currencywhen it omits its own (ADR-0053). - You need to understand translation file organization strategies (bundled, per_locale, per_namespace).
Core Concepts
Translation Architecture Overview
-
Runtime format —
objects.*(TranslationData): each locale is authored as oneTranslationDatavalue. All translatable content for an object (label, fields, options, views, sections, actions) is grouped underobjects.{object_name}, with global groups (apps,messages,globalActions,dashboards,settings,metadataForms) at the top level. -
Bundle registration: per-locale files are assembled with
defineTranslationBundle({ en, 'zh-CN': … })into aTranslationBundle(locale code →TranslationData) and registered viadefineStack({ translations: [...] }). This is the format the runtime resolvers,os i18n extract,os i18n check, and the example apps all use.
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.
- yesterday First seen · 728 lines · 84 tokens per session scan A 08a9f4f0ddc8
objectstack-i18n is a skill published in the GitHub repository objectstack-ai/objectstack (45 stars, last pushed yesterday), licensed Apache-2.0. It adds 84 tokens to every session and 6,166 once invoked, about $0.0004 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 2026-08-30.
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