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 woodfishhhh/EZ_math_model --skill docxgit clone --depth 1 https://github.com/woodfishhhh/EZ_math_modelWrote 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/woodfishhhh/ez_math_model/docx)<a href="https://agentmods.dev/skills/woodfishhhh/ez_math_model/docx"><img src="https://agentmods.dev/badge/skills/woodfishhhh/ez_math_model/docx/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/woodfishhhh/ez_math_model/docx"><img src="https://agentmods.dev/badge/skills/woodfishhhh/ez_math_model/docx.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 | $0.00040 | $0.00685 |
| Opus 5.5 | $0.00016 | $0.00274 |
| Sonnet 5.5 | $0.00008 | $0.00137 |
| Haiku 4.5 | $0.00004 | $0.00068 |
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 1mo 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
docx — Word 文档读写与打包
何时使用
- 把
paper.md转换为paper.docx。 - 读取用户上传的
.docx题目。 - 需要参考模板、图片嵌入、公式对象或表格保真。
优先链路
- 宿主
docxskill。 pandoc直调。python-docx兜底。
Markdown 转 DOCX
pandoc paper.md `
--from gfm+tex_math_dollars+pipe_tables `
--to docx `
--output paper.docx `
--resource-path .
有参考模板时追加：
--reference-doc <template.docx>
DOCX 转文本
优先使用宿主 docx skill。没有宿主能力时，用 python-docx 提取段落和表格，再写成 Markdown 友好文本。
产出要求
- 输出文件默认与
paper.md同目录：paper.docx。 - 图片必须嵌入，不保留失效本地链接。
$...$与$$...$$尽量转换为 Word 可编辑公式；失败时保留原始 LaTeX 文本并写诊断。
对象级验收
DOCX 不是“文件存在就合格”。转换后必须把 .docx 当 zip 解包检查：
word/document.xml必须存在且可读取。- 公式验收：统计
m:oMath/m:oMathPara。若paper.md有公式但 DOCX 中 公式对象数为 0，formal 模式失败。 - 图片验收：统计
word/media/*。Markdown 图片引用数不得超过嵌入图片数； 缺图必须列出文件名。 - 表格验收：统计
w:tbl。Markdown 表格应转换为 Word 表格对象；未转换时至少 降级为 warning，formal 视严重程度阻塞。 - LaTeX fallback：统计
word/document.xml中残留$...$。formal 模式下残留 公式文本不得直接标为通过。
EZMM 内置 scripts/runtime/audit_export.py 会执行上述检查，生成
export_audit.json 与 export_audit.md。
失败诊断
| 情况 | 处理 |
|---|---|
| 宿主 skill、pandoc、python-docx 都不可用 | 保留 paper.md，在 diagnostics.md 写缺失工具 |
| 公式渲染异常 | formal 模式阻塞正式发布；demo 模式保留 LaTeX 文本并降级 |
| 图片路径错误 | 检查 Markdown 相对路径和 --resource-path |
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.
- 1mo ago First seen · 70 lines · 40 tokens per session scan A 02372162e493
docx is a skill published in the GitHub repository woodfishhhh/EZ_math_model (43 stars, last pushed 2mo ago), licensed MIT. It adds 40 tokens to every session and 685 once invoked, about $0.0002 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.
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