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/stophobia/deerflow2.0-enhanced/multi-languagenpx skills add stophobia/deerflow2.0-enhanced --skill multi-languagegit clone --depth 1 https://github.com/stophobia/deerflow2.0-enhancedWrote 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/stophobia/deerflow2.0-enhanced/multi-language)<a href="https://agentmods.dev/skills/stophobia/deerflow2.0-enhanced/multi-language"><img src="https://agentmods.dev/badge/skills/stophobia/deerflow2.0-enhanced/multi-language.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 | $0.00097 | $0.01547 |
| Opus 5 | $0.00048 | $0.00773 |
| Sonnet 5 | $0.00019 | $0.00309 |
| Haiku 4.5 | $0.00010 | $0.00155 |
Grade A, and why
multi-language 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 5d 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 — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
多语言翻译技能 (Multi-Language Translation)
专业化的多语言翻译技能，支持技术文档、学术论文、商业报告的精准翻译。
概述
本技能提供高质量的多语言翻译：
- 支持多种语言对互译
- 专业术语库支持
- 格式保持一致
- 上下文理解
- 翻译记忆
支持的语言
| 语言 | 代码 | 备注 |
|---|---|---|
| 中文 | zh | 简体/繁体 |
| 英语 | en | 美式/英式 |
| 日语 | ja | 商务/口语 |
| 德语 | de | 专业术语 |
| 法语 | fr | 法国/加拿大 |
| 韩语 | ko | |
| 西班牙语 | es | 拉美/西班牙 |
使用场景
当用户提及以下内容时激活：
- "翻译"、"翻译成英文"
- "中英翻译"、"英译中"
- "英文版"、"日语版"
- "多语言支持"
- "localization"、"i18n"
- "帮我看看这篇英文"
核心能力
1. 文档翻译
- Markdown 文档
- 技术文档
- 学术论文
- 商业报告
- 网站内容
- 产品描述
2. 术语管理
- 行业术语库
- 专有名词保持
- 缩写首次翻译
- 术语一致性
3. 格式保持
- 标题层级
- 表格结构
- 代码块
- 链接/引用
- 列表格式
4. 语境理解
- 理解专业背景
- 保持语气一致
- 文化适配
- 本地化优化
工作流程
Step 1: 确认需求
- 源语言是什么
- 目标语言是什么
- 文档类型（技术/商业/学术）
- 用途（发布/参考/内部）
- 特殊要求（术语/风格）
Step 2: 分析文档
- 识别文档类型
- 提取术语列表
- 识别格式元素
- 评估难度/专业度
Step 3: 翻译执行
原则：
- 准确性 > 流利性
- 专业术语统一
- 保持原文结构
- 适当本地化
Step 4: 质量检查
- 术语一致性
- 格式正确性
- 语法准确性
- 表达自然度
- 术语统一性
Step 5: 输出
提供：
- 翻译后的文档
- 术语表（如需要）
- 格式对比（可选）
翻译标准
术语标准
首次出现：英文原文 (中文翻译)
后续出现：仅中文翻译
示例：
Large Language Model (LLM, 大语言模型)
LLM 是一种...
格式标准
# 标题 → # Title
## 副标题 → ## Subtitle
- 列表项 → - List item
1. 有序列表 → 1. Ordered list
| 表格 | 表格 |
|-----|-----|
| 内容 | Content |
`代码` → `code`
> 引用 → > Quote
标点标准
- 中文文档：全角标点（，。：；？！""）
- 英文文档：半角标点（,.:;?!""）
- 中英混排：按主要语言选择
专业领域术语
技术领域
- API → API / 应用程序接口
- SDK → SDK / 开发工具包
- Framework → 框架
- Library → 库
- Database → 数据库
- Server → 服务器
商业领域
- ROI → 投资回报率
- KPI → 关键绩效指标
- B2B → 企业对企业
- B2C → 企业对消费者
- PMF → 产品-市场匹配
学术领域
- Abstract → 摘要
- Methodology → 方法论
- Conclusion → 结论
- Reference → 参考文献
- Peer Review → 同行评审
输出格式
文档翻译
原文件名_目标语言.md
原文件名_目标语言.html
术语表（可选）
术语表_原文件名.md
| 原文 | 译文 | 备注 |
|-----|-----|-----|
| Term | 译文 | 说明 |
使用工具
read- 读取源文档web_search- 查询专业术语write- 生成翻译文档md2html- 转换为 HTML（可选）
质量保证
翻译检查清单
- 术语一致性
- 格式保持
- 数字/日期格式
- 缩写处理
- 链接有效性
- 代码完整性
- 标点正确
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.
- 5d ago First seen · 228 lines · 97 tokens per session scan A d6d6ca722006
multi-language is a skill published in the GitHub repository stophobia/deerflow2.0-enhanced (720 stars, last pushed 5mo ago), licensed MIT. It adds 97 tokens to every session and 1,547 once invoked, about $0.0005 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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chinese-documentation
中文文档排版参考——中英文空格、全半角标点、术语保留、链接格式、中文文案排版指北约定。仅在用户显式 /chinese-documentation 时调用，不要根据上下文自动触发。.
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