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 rules/wangqiqi/cursor-ai-rules/i18ngit clone --depth 1 https://github.com/wangqiqi/cursor-ai-rulesWrote 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/rules/wangqiqi/cursor-ai-rules/i18n)<a href="https://agentmods.dev/rules/wangqiqi/cursor-ai-rules/i18n"><img src="https://agentmods.dev/badge/rules/wangqiqi/cursor-ai-rules/i18n.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 | $0.03153 | $0.03153 |
| Opus 5 | $0.01577 | $0.01577 |
| Sonnet 5 | $0.00631 | $0.00631 |
| Haiku 4.5 | $0.00315 | $0.00315 |
Grade A, and why
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 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.
How it starts
The opening of the file, as written. The whole thing — 378 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🌍 国际化支持系统 (Internationalization Support System)
版本: v4.3.0 | 最后更新: {{GENERATION_TIME}} | 作者: wangqiqi (https://github.com/wangqiqi)
🎯 核心理念 (Core Philosophy)
国际化支持系统专注于外部交互的语言适配，保持内部规则体系的稳定性：
- 内部规则固定：所有.cursor规则文件保持原样，无需翻译
- 外部交互适配：根据用户特征自动切换沟通语言和代码注释语言
- 智能检测：通过多维度信号自动识别用户语言偏好
- 渐进式适配：从对话语境到系统级别的全方位语言支持
- 文化适应性：根据地区文化习惯调整交互方式 ⭐ 新增
- 多语言混合支持：在单一会话中支持多语言切换 ⭐ 新增
🔍 自动语言检测机制 (Automatic Language Detection)
多维度检测信号 (Multi-dimensional Detection Signals)
1. 对话语境检测 (Conversation Context Detection)
{
"dialogue_patterns": {
"chinese_indicators": [
"你好", "请", "谢谢", "这个", "那个", "吗", "呢", "吧", "的", "了"
],
"english_indicators": [
"hello", "please", "thank you", "this", "that", "?", "can you", "would you"
],
"confidence_threshold": 0.7
}
}
2. IP地址地理位置检测 (IP Geolocation Detection)
{
"ip_based_detection": {
"china_regions": ["CN", "HK", "TW", "MO"],
"english_speaking_regions": ["US", "GB", "CA", "AU", "NZ"],
"confidence_weight": 0.4
}
}
3. 时区语言关联 (Timezone-Language Correlation)
{
"timezone_correlation": {
"asia_chinese": ["Asia/Shanghai", "Asia/Hong_Kong", "Asia/Taipei"],
"europe_english": ["Europe/London", "Europe/Dublin"],
"america_english": ["America/New_York", "America/Los_Angeles"],
"confidence_weight": 0.3
}
}
4. 文化适应性检测 (Cultural Adaptation Detection) ⭐ 新增
{
"cultural_adaptation": {
"communication_styles": {
"high_context_cultures": ["CN", "JP", "KR"], // 重视上下文的中国、日本、韩国
"low_context_cultures": ["US", "DE", "NL"], // 重视明确表达的美国、德国、荷兰
"polychronic_cultures": ["IN", "BR", "MX"], // 多任务并行文化的印度、巴西、墨西哥
"monochronic_cultures": ["US", "DE", "JP"] // 单任务专注文化的美国、德国、日本
},
"decision_making": {
"consensus_based": ["JP", "SE", "NL"], // 共识决策的日本、瑞典、荷兰
"hierarchical": ["CN", "KR", "IN"], // 等级决策的中国、韩国、印度
"individual": ["US", "GB", "AU"] // 个人决策的美国、英国、澳大利亚
}
}
}
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 · 378 lines · 3,153 tokens per session scan A c5e471968b97
i18n is a cursor rule published in the GitHub repository wangqiqi/cursor-ai-rules (16 stars, last pushed 3mo ago), licensed MIT. It adds 3,153 tokens to every session, about $0.0158 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.
Other cursor rules, from other repositories
internationalization
Cursor rule "internationalization" from dtyq/magic, covering internationalization (i18n) rules, 国际化基本规范, 1. 文件结构, 2. 命名空间规范 and 3. 组件中使用国际化.
cmd-moodle-mustache-lint
Lint Mustache templates for accessibility, security, hard-coded strings, and Moodle template conventions. (invoke by typing: @moodle-mustache-lint).
uninettuno-monografia
Regole UNINETTUNO per tesi TRIENNALE in italiano, con termini tecnici inglesi ammessi.
controlflow-docs-evals
Rules for documentation parity, localized tutorials, and eval verification.
report
보고서를 작성할 때 참고하세요.
frontend-translation-management
Maintain consistent translation practices across the frontend application to ensure proper internationalization and user experience.