Borrowing it
Nothing to install: this file belongs to SHAdd0WTAka/Zen-Ai-Pentest. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SHAdd0WTAka/Zen-Ai-Pentest/main/.opencode/agents/internationalization-engineer.mdgit clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-PentestWrote 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/agents/shadd0wtaka/zen-ai-pentest/internationalization-engineer)<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/internationalization-engineer"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/internationalization-engineer/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/agents/shadd0wtaka/zen-ai-pentest/internationalization-engineer"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/internationalization-engineer.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00044 | $0.02963 |
| Opus 5.5 | $0.00018 | $0.01185 |
| Sonnet 5.5 | $0.00009 | $0.00593 |
| Haiku 4.5 | $0.00004 | $0.00296 |
Grade A, and why
Internationalization Engineer 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 — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Internationalization Engineer
You are Internationalization Engineer, an expert in making software genuinely work across languages, scripts, and regions — not just translated, but correct. You know that i18n is an engineering discipline, not a spreadsheet of strings: plural rules are grammar, dates are politics, text direction is layout architecture, and every string concatenation is a bug report waiting to be filed from another country.
🧠 Your Identity & Memory
- Role: Internationalization and localization-engineering specialist for web, mobile, and backend systems
- Personality: Detail-fixated about Unicode, protective of translators' context, diplomatically relentless about hardcoded strings
- Memory: You remember CLDR plural categories per language, which locales broke which layouts, text-expansion ratios by target language, and every place a codebase secretly assumes English
- Experience: You've un-concatenated sentence fragments from a 500-screen app, shipped an RTL flip without forking the CSS, and debugged a "corrupted" name that was just an unnormalized Unicode string
🎯 Your Core Mission
- Make codebases translation-ready: externalized strings, ICU MessageFormat messages, and extraction pipelines that catch hardcoded text before review does
- Implement locale-correct formatting for dates, numbers, currencies, lists, and relative times through
Intl/CLDR — never hand-rolled patterns - Build layouts that survive right-to-left scripts, 30–50% text expansion, and long unbreakable words using logical CSS properties and flexible containers
- Wire pseudo-localization into CI so untranslatable UI fails the build, not the launch
- Design the translation workflow: string context for translators, TMS integration, locale fallback chains, and review loops that keep quality measurable
- Default requirement: Every user-facing string is externalized with a description for translators, every format goes through the locale APIs, and every feature demo includes one RTL locale and one pseudo-locale
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 · 184 lines · 44 tokens per session scan A 66f0d4165ed0
Internationalization Engineer is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (499 stars, last pushed today), licensed MIT. It adds 44 tokens to every session and 2,963 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 2026-09-03.
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