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.
git 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/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/rules/wangqiqi/cursor-ai-rules/i18n"><img src="https://agentmods.dev/badge/rules/wangqiqi/cursor-ai-rules/i18n.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 | $0.03153 | $0.03153 |
| Opus 5.5 | $0.01261 | $0.01261 |
| Sonnet 5.5 | $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 2mo 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.
- 2mo 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 5mo ago), licensed MIT. It adds 3,153 tokens to every session, about $0.0126 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 2026-08-30.
i18n compared with cursor rules from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| i18nwangqiqi/cursor-ai-rules | Cursor rule | 16 | 5mo ago | MIT | A | 3,153 | Cursor |
| internationalizationdtyq/magic | Cursor rule | 5.1k | 13d ago | none | A | 3,524 | Cursor |
| cmd-moodle-mustache-lintSaadRahman01/claude-moodle-dev | Cursor rule | 42 | 4mo ago | MIT | A | 32 | Cursor |
| chinese-languagedoccker/cc-use-exp | Cursor rule | 1.1k | 2mo ago | none | A | 385 | Cursor |
| rtl-right-to-left-i18n-cursorrules-prompt-fileXD3an/awesome-ai-coding-all-in-one | Cursor rule | 15 | 11d ago | none | A | 608 | Cursor |
| uninettuno-monografiariccardodicurti/template-latex-tesi-uninettuno | Cursor rule | 7 | 5mo ago | MIT | A | 645 | Cursor |
| reportMineru98/mysql-mcp-server | Cursor rule | 28 | 1y ago | MIT | A | 8 | Cursor |