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 znlgis/opengis-skills --skill tongwengit clone --depth 1 https://github.com/znlgis/opengis-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/znlgis/opengis-skills/tongwen)<a href="https://agentmods.dev/skills/znlgis/opengis-skills/tongwen"><img src="https://agentmods.dev/badge/skills/znlgis/opengis-skills/tongwen/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/znlgis/opengis-skills/tongwen"><img src="https://agentmods.dev/badge/skills/znlgis/opengis-skills/tongwen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00055 | $0.02520 |
| Opus 5 | $0.00028 | $0.01260 |
| Sonnet 5 | $0.00011 | $0.00504 |
| Haiku 4.5 | $0.00006 | $0.00252 |
Grade A, and why
tongwen 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 2d 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 — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
产品定位： 商业软件（非开源），面向工程图纸的本地优先 CAD/BIM 无损翻译套件
项目地址： 不适用（专有商业软件，产品官网详见下方）
产品官网： https://shandianweihu.com/
上游文档： https://znlgis.github.io/cad/TongWen/
许可证： 专有商业软件
CAD 平台： AutoCAD 2019—2026
概述
同文（TongWen）是一套面向工程图纸的 CAD/BIM 无损翻译套件，解决工程建设领域多语言图纸翻译的核心痛点。与传统人工翻译或通用机器翻译不同，同文直接解析 DWG 文件中的文字实体，提供术语库驱动的专业翻译工作流，最终将译文无损回写至原图纸，保持图纸格式、布局和图层信息完全不变。
核心能力
| 能力 | 说明 |
|---|---|
| 图纸文字提取 | 从 DWG 文件中智能提取所有文字实体（单行文字、多行文字、属性、标注等） |
| 翻译工作区 | 分屏对照翻译界面，支持原文/译文并排编辑 |
| 术语库管理 | 项目级术语库，确保翻译一致性和专业性 |
| 图纸回写 | 翻译结果无损回写至原 DWG，保留字体、样式、图层、位置 |
| 质量检查 | 自动检测漏译、术语不一致、文字溢出等 8+ 项质量指标 |
| AutoCAD 插件 | 内置 AutoCAD 插件，支持在 CAD 环境中直接操作 |
| 批量处理 | 命令行模式支持多文件批量翻译处理 |
| 本地优先 | 所有数据本地存储，无需联网，保护工程图纸数据安全 |
版本支持
- AutoCAD 2019 / 2020 / 2021 / 2022 / 2023 / 2024 / 2025 / 2026
技术架构
技术栈
| 层面 | 技术选型 |
|---|---|
| 运行时 | .NET Framework 4.8 / .NET 8+ |
| 语言 | C# |
| UI | WPF + MVVM |
| CAD 互操作 | AutoCAD .NET API（ObjectARX） |
| 翻译引擎 | 支持接入多种 LLM/MT 翻译 API |
| 数据存储 | SQLite（术语库、项目数据库） |
| 文件处理 | DWG 直接读写（RealDWG 兼容层） |
核心模块
| 模块 | 功能 |
|---|---|
| Studio 桌面工作台 | 项目管理、文件导入、全局配置 |
| DWG 解析器 | 文字实体提取、样式属性收集、上下文识别 |
| 翻译编辑器 | 分屏对照、术语高亮、搜索替换、批量操作 |
| 术语库引擎 | 项目术语库、全局术语库、模糊匹配、术语验证 |
| 回写引擎 | 文字替换、样式适配、图层保持、属性同步 |
| 质量检查器 | 漏译检测、术语一致性、文字溢出、格式完整性 |
| AutoCAD 插件 | 在 AutoCAD 内部直接调用翻译功能 |
| 命令行工具 | 无头模式批量处理、CI/CD 集成 |
典型工作流
标准翻译流程（7 步）
- 创建项目 — 在 Studio 桌面工作台新建翻译项目
- 导入图纸 — 加载待翻译的 DWG 文件
- 配置术语库 — 选择或创建项目术语库，导入已有术语
- 提取文字 — 自动提取图纸中所有文字实体
- 翻译编辑 — 在翻译工作区中翻译（支持机器翻译辅助 + 术语提示）
- 质量检查 — 运行质量检查工具，修复所有问题
- 回写图纸 — 将翻译结果写回 DWG，生成目标语言图纸
AutoCAD 插件工作流（轻量模式）
对于只需翻译少量图纸的场景，可直接在 AutoCAD 内使用插件：
TONGWEN命令启动插件面板- 选择当前图纸或打开项目
- 提取文字 → 翻译 → 回写，全程在 AutoCAD 内完成
批量处理工作流（CI 集成）
TongWen.CLI.exe --project "项目路径" --source-dir "源图纸目录" --output-dir "输出目录" --lang en --termbase "术语库路径" --qc-report "qa-report.json"
关键命令（AutoCAD 插件）
| 命令 | 功能 |
|---|---|
| TONGWEN | 启动同文插件主面板 |
| TONGWEN_EXTRACT | 提取当前图纸所有文字 |
| TONGWEN_TRANSLATE | 打开翻译工作区 |
| TONGWEN_WRITEBACK | 将翻译结果回写图纸 |
| TONGWEN_QC | 运行质量检查 |
| TONGWEN_TERMBASE | 管理术语库 |
| TONGWEN_SETTINGS | 打开设置面板 |
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.
- 9d ago Changed fb1c26724719
- 12d ago First seen · 193 lines · 55 tokens per session scan A 5c67e7d5e158
tongwen is a skill published in the GitHub repository znlgis/opengis-skills (61 stars, last pushed yesterday), licensed MIT. It adds 55 tokens to every session and 2,520 once invoked, about $0.0003 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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