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 skills add YangsonHung/awesome-agent-skills --skill multi-lang-readme-cngit clone --depth 1 https://github.com/YangsonHung/awesome-agent-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/yangsonhung/awesome-agent-skills/multi-lang-readme-cn)<a href="https://agentmods.dev/skills/yangsonhung/awesome-agent-skills/multi-lang-readme-cn"><img src="https://agentmods.dev/badge/skills/yangsonhung/awesome-agent-skills/multi-lang-readme-cn/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/skills/yangsonhung/awesome-agent-skills/multi-lang-readme-cn"><img src="https://agentmods.dev/badge/skills/yangsonhung/awesome-agent-skills/multi-lang-readme-cn.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 | $0.00029 | $0.00804 |
| Opus 5 | $0.00015 | $0.00402 |
| Sonnet 5 | $0.00006 | $0.00161 |
| Haiku 4.5 | $0.00003 | $0.00080 |
Grade A, and why
multi-lang-readme-cn 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 11d 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.
What it actually says
Multi-Lang README（中文）
Overview
将现有 README 翻译为多语言版本，并保持 Markdown 结构、链接、代码块和语言切换导航稳定。流程支持中英双语和多语言 README 集合，不处理与 README 无关的通用文档改写。
何时使用
当用户提出以下需求时使用：
- 创建双语 README（如中英）
- 创建多语言 README
- 将现有 README 翻译为指定语言
- 统一 README 的语言切换链接
不要使用
以下场景不应使用本技能：
- 翻译非 README 的通用文档
- 与 README 无关的内容创作任务
- 法律/合同等高风险文档翻译
使用说明
- 定位要翻译的 README 源文件（有歧义时先问用户）。
- 确认目标语言与主 README 语言策略。
- 在保留 Markdown 结构前提下完成翻译。
- 按语言后缀规范写入目标文件。
- 在各语言 README 顶部补齐语言切换链接。
- 交付前检查路径、链接和格式一致性。
支持语言
| 代码 | 语言 |
|---|---|
| en | English |
| de | German |
| ja | Japanese |
| ko | Korean |
| zh-CN | Chinese |
工作流程
第一步：定位 README
查找待翻译 README：
- 默认先检查根目录
README.md - 如果存在多个 README，先让用户指定目标文件
第二步：读取内容
读取完整内容，包括：
- 标题与徽章
- 各章节（Features、Installation、Usage、Contributing、License 等）
- 代码块
- 链接
第三步：确认目标语言
询问用户目标语言。默认策略：
README.md作为英文主版本- 如果当前主 README 非英文，先转为英文主版本
- 再按需求生成其他语言版本
若用户只说“做双语 README”但未指定语言，默认：
- 先生成英文
README.md - 再生成中文
README.zh-CN.md
第四步：执行翻译
翻译要求：
- 保留 Markdown 结构
- 代码块不翻译
- 标题与正文翻译为目标语言
- 相对链接路径保持不变
- 外链锚文本可按目标语言优化
第五步：写入目标文件
推荐命名：
- 英文：
README.md - 德语：
README.de.md - 日语：
README.ja.md - 韩语：
README.ko.md - 中文：
README.zh-CN.md
第六步：补充语言切换
在 README 顶部（标题或徽章后）加入语言切换，例如：
**English** | [中文](README.zh-CN.md) | [Deutsch](README.de.md) | [日本語](README.ja.md) | [한국어](README.ko.md)
第七步：更新互链
在翻译文件中增加返回主文档或多语言互链，避免孤立文档。
触发示例
- “帮我创建中英 README”
- “帮我创建多语言 README”
- “把 README 翻译成日语”
- “新增 README.zh-CN.md”
- “create bilingual README”
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.
- 11d ago First seen · 110 lines · 29 tokens per session scan A b5faeb35be2a
multi-lang-readme-cn is a skill published in the GitHub repository YangsonHung/awesome-agent-skills (18 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 804 once invoked, about $0.0001 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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