python-office is a Python library that provides ready-to-use modules for automating office and media tasks such as PDF, Word, Excel, PowerPoint, email, WeChat, images, video, and OCR. It is for people who want to automate common work activities with short Python calls, including users with little Python experience. Its catalogue skills expose the library's individual automation areas to coding agents.
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 CoderWanFeng/python-office --skill docx2pdfgit clone --depth 1 https://github.com/CoderWanFeng/python-officeWrote 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/coderwanfeng/python-office/docx2pdf)<a href="https://agentmods.dev/skills/coderwanfeng/python-office/docx2pdf"><img src="https://agentmods.dev/badge/skills/coderwanfeng/python-office/docx2pdf/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/coderwanfeng/python-office/docx2pdf"><img src="https://agentmods.dev/badge/skills/coderwanfeng/python-office/docx2pdf.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 | $0.00043 | $0.00316 |
| Opus 5.5 | $0.00017 | $0.00126 |
| Sonnet 5.5 | $0.00009 | $0.00063 |
| Haiku 4.5 | $0.00004 | $0.00032 |
Grade A, and why
docx2pdf 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
docx2pdf Skill
将 Word 转换为 PDF
功能描述
将 Word 文档（.docx）转换为 PDF 格式，支持单个文件或整个文件夹批量转换。
所属分类
office/skills/word/docx2pdf/
调用方式
from skills.word import docx2pdf
# 单个文件
docx2pdf(path='./test.docx', output_path='./output/')
# 批量转换（path 传入文件夹）
docx2pdf(path='./word_files/', output_path='./pdfs/')
参数说明
| 参数 | 类型 | 必填 | 默认值 | 说明 |
|---|---|---|---|---|
path |
str | 是 | - | Word 文件位置。支持批量处理：填写文件夹位置 |
output_path |
str | 否 | None |
转换后的输出位置。如果不存在会自动创建 |
返回值
None
使用示例
from skills.word import docx2pdf
docx2pdf(path='./report.docx', output_path='./output/')
原始函数
office.api.word.docx2pdf
What ships with it
1 file 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.
- 1mo ago First seen · 51 lines · 43 tokens per session scan A 742823eb17de
docx2pdf is a skill published in the GitHub repository CoderWanFeng/python-office (1,361 stars, last pushed 2d ago), licensed Apache-2.0. It adds 43 tokens to every session and 316 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 2026-09-03.
Other skills, from other repositories
Read, extract (text/tables), create, merge/split/rotate, watermark, encrypt, fill, and render-to-image .pdf files. Use whenever the user uploads a .pdf or asks to produce, edit, or pull data out of one.
xberg-extracting-tables
Use when extracting tabular data from PDFs, spreadsheets, or images. Covers layout-aware table detection, table model selection, output formats (markdown / JSON cells), and known limits.
xberg-extracting-with-ocr
Use when extracting text from scanned PDFs, photographed pages, or images that have no embedded text layer. Covers OCR backends, language packs, force-OCR, and performance tuning.
cli-anything-wps
A command-line tool that controls WPS Office on Windows, including Writer, Calc, and Impress. It can also build presentations from structured JSON data and export them as PowerPoint and PDF files.
shell-python-fallback
Use runshell with embedded Python heredoc as reliable fallback when code execution tools fail.
shell-python-heredoc
Execute complex Python code via runshell heredoc when executecodesandbox fails.