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 nexus-research-lab/nexus --skill docxgit clone --depth 1 https://github.com/nexus-research-lab/nexusWrote 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/nexus-research-lab/nexus/docx)<a href="https://agentmods.dev/skills/nexus-research-lab/nexus/docx"><img src="https://agentmods.dev/badge/skills/nexus-research-lab/nexus/docx.svg" alt="Measured on agentmods" 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 | $0.00103 | $0.01026 |
| Opus 5 | $0.00051 | $0.00513 |
| Sonnet 5 | $0.00021 | $0.00205 |
| Haiku 4.5 | $0.00010 | $0.00103 |
Grade A, and why
docx scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Word 文档
按任务选择最短可靠路径：
| 任务 | 路径 |
|---|---|
| 读取、总结、问答 | 运行自带读取脚本；版式相关问题再渲染页面 |
| 新建文档 | 用 python-docx 生成可编辑 DOCX |
| 编辑现有文档 | 先读内容和版式，再用 python-docx 做局部修改 |
| 批注、修订、内容控件等高级结构 | 仅在库不能安全保留时做定点 OOXML 修改 |
旧版 .doc |
用 LibreOffice 转为 .docx，保留原件 |
工作契约
- 只读问题不重新保存或转换文件，除非读取确实需要转换。
- 写操作默认另存新文件；用户明确要求覆盖时才覆盖。
- 用户提供的模板、样式和版式优先于本 Skill 的默认建议。
- 先直接使用当前环境。
import docx失败且任务需要写文件时，取得用户同意后在隔离环境安装${CLAUDE_SKILL_DIR}/requirements.txt，不要静默修改系统 Python。
读取
python3 "${CLAUDE_SKILL_DIR}/scripts/read_word.py" "<input.docx>"
python3 "${CLAUDE_SKILL_DIR}/scripts/read_word.py" "<input.docx>" --output "<new-output.txt>"
脚本按文件签名识别 OOXML 与旧版 OLE，不只相信扩展名。它提取正文和表格；页眉页脚、图片、 批注、修订或版式决定答案时，还要查看渲染页面或相关 OOXML，不能从纯文本猜测。
创建与编辑
在 workspace 或临时目录写一个可重复运行的短 Python 脚本，再用 python-docx 输出文件。
- 新建前确认文档用途、读者和目标格式；信息足够时直接判断，不为装饰性选择阻塞任务。
- 使用 Word 样式、编号、分页符、分节、表格和页眉页脚表达结构，不用空格、手工圆点或连续空行伪造布局。
- 编辑已有文本时优先修改目标 run；给
paragraph.text整体赋值会丢失段内格式。 - 表格使用明确列宽并处理重复表头；图片保持纵横比并设置可读尺寸。
- 遇到宏、内容控件、复杂域、批注或修订时，先确认往返保存是否会丢数据。无法安全保留就停止写入， 说明限制或改用定点 OOXML 修改，不能静默降级。
完成条件
- 用读取脚本回读最终文件，确认内容、顺序和关键表格正确。
- 新建或涉及版式的编辑，用 LibreOffice 转成 PDF，再用
pdftoppm生成页面图片并逐页检查：
soffice --headless --convert-to pdf --outdir "<empty-qa-dir>" "<output.docx>"
pdftoppm -png -r 144 "<empty-qa-dir>/<output.pdf>" "<empty-qa-dir>/page"
- 修复截字、重叠、异常空白页、断裂表格、字体替换和错误页眉页脚后重新渲染。
- 若 LibreOffice 或 Poppler 不可用，仍可完成纯内容读取；写任务要明确说明未完成视觉检查，不能声称版式已验证。
- 最终只交付用户要求的 DOCX，不附带构建脚本和预览文件。
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 75 lines · 103 tokens per session scan A 5284935dc55c
docx is a skill published in the GitHub repository nexus-research-lab/nexus (144 stars, last pushed yesterday), licensed Apache-2.0. It adds 103 tokens to every session and 1,026 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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