pdf2docx

A file-conversion tool that turns PDF files into editable Word documents (.docx). It can convert one PDF or process a folder of PDFs.

In plain words
What is it for?
Use it to convert individual reports or batches of PDFs into Word files by specifying input and output files or folders.
Why use it?
It removes the need to recreate PDF text and layout manually when the content needs to be edited in Word.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/coderwanfeng/python-office/pdf2docx
Any agent
npx skills add CoderWanFeng/python-office --skill pdf2docx
Clone the repo
git clone --depth 1 https://github.com/CoderWanFeng/python-office

Made for: Claude Code, Codex.

Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 432 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00040 $0.00432
Opus 5 $0.00020 $0.00216
Sonnet 5 $0.00008 $0.00086
Haiku 4.5 $0.00004 $0.00043

Measured yesterday against content hash 29997ffb8823, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pdf2docx 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 yesterday.

The scan reads SKILL.md. This mod also ships 1 executable file (__init__.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/pdf/pdf2docx/SKILL.md · 60 lines

What it actually says

pdf2docx Skill

将 PDF 转换为 Word 文档

功能描述

将一个或多个 PDF 文件转换为 Word(.docx)格式。

所属分类

office/skills/pdf/pdf2docx/

调用方式

from skills.pdf import pdf2docx

# 单个文件
pdf2docx(input_file='./test.pdf', output_file='./test.docx')

# 批量转换(指定输入输出文件夹)
pdf2docx(input_path='./pdfs/', output_path='./docs/')

参数说明

参数 类型 必填 默认值 说明
input_file str 否* - PDF 文件路径
output_file str - 输出 Word 文件路径
input_path str 否* - 输入文件夹路径(批量转换时使用)
output_path str - 输出文件夹路径(批量转换时使用)
file_path str - [已弃用] 请使用 input_file

至少需要提供 input_file+output_fileinput_path+output_path 之一

返回值

None

使用示例

from skills.pdf import pdf2docx
pdf2docx(input_file='./report.pdf', output_file='./report.docx')

视频教程

https://www.python4office.cn/python-office/popdf/%E8%AF%BE%E7%A8%8B/1-pdf2docx/

原始函数

office.api.pdf.pdf2docx

Files

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.

Changes

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.

  1. yesterday First seen · 60 lines · 40 tokens per session scan A 29997ffb8823

Subscribe to this mod's changes

pdf2docx is a skill published in the GitHub repository CoderWanFeng/python-office (1,346 stars, last pushed 13d ago), licensed Apache-2.0. It adds 40 tokens to every session and 432 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

jmcomic

Search, browse, inspect album-specific or site-wide comments, and download manga from JMComic (18comic), obtain the latest Android APK from hect0x7/JMComic-APK, and invoke the upstream jm-view-server jms command for local reading. Use for manga discovery, ranking, comment analysis, downloads, post-processing…

hect0x7/jmcomic-ai · 101 tokens

mind-mem-development

MIND-Mem Python development guide.

star-ga/mind-mem · 12 tokens

buero

Ordnet Büroaufgaben, Korrespondenz und Fristen ohne Bindung an eine bestimmte Office-App.

ellmos-ai/skills · 26 tokens

python-runtime

Use this skill when the user needs to install, upgrade, or troubleshoot Python and pip environments. Covers four-tier fallback strategy: (1) DesireCore HTTP API for in-app installation, (2) DesireCore built-in Hatch CLI for Python version management, (3) system package managers (brew/apt/dnf/winget), (4) community…

desirecore/market · 228 tokens

bump-dependency

Bumps a Python package dependency across Home Assistant Core integrations, regenerates core requirement files, runs verification tests and prek lint, and prepares a pull request with proper release/compare links.

home-assistant/core · 42 tokens

schema-exploration

Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.

langchain-ai/deepagents · 57 tokens