A tool for creating, reading, editing, and analyzing Microsoft Word documents in the .docx format. It also covers formatting, tracked changes, conversion, and validation.

Use it to generate or edit reports, letters, and other formatted documents, including files with headings, tables of contents, page numbers, or tracked changes.

It gives coding agents a defined way to work with Word files instead of treating them as plain text.

docx — Skill for Claude Code and Codex by UnicomAI/wanwu

About the project

Wanwu is an enterprise platform for building AI agents, workflows, retrieval-augmented applications, and managing models in multi-tenant environments. It is designed for developers and enterprise teams delivering AI applications and integrations. The catalogue entries provide skills and agents for using the platform.

UnicomAI/wanwu · 2,371 stars · on GitHub

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.

Any agent

npx skills add UnicomAI/wanwu --skill docx

Clone the repo

git clone --depth 1 https://github.com/UnicomAI/wanwu

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/unicomai/wanwu/docx/github.svg)](https://agentmods.dev/skills/unicomai/wanwu/docx)

Your own site

<a href="https://agentmods.dev/skills/unicomai/wanwu/docx"><img src="https://agentmods.dev/badge/skills/unicomai/wanwu/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/unicomai/wanwu/docx"><img src="https://agentmods.dev/badge/skills/unicomai/wanwu/docx.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 168 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 5,704 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high Prompt Injection · line 418
Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.

Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
high Prompt Injection · line 499
Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.

Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.

How audits are shown

Origin 80% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.00168	$0.05704
Opus 5.5	$0.00067	$0.02282
Sonnet 5.5	$0.00034	$0.01141
Haiku 4.5	$0.00017	$0.00570

Measured 1mo ago against content hash cfbabd72b1ae, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

The scan reads SKILL.md. This mod also ships 15 executable files (scripts/__init__.py, scripts/accept_changes.py, scripts/comment.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.

Origin

This is a copy

80% identical to docx — 135 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

configs/microservice/bff-service/configs/agent-skills/anthropics/docx/SKILL.md · 591 lines

How it starts

The opening of the file, as written. The whole thing — 591 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DOCX creation, editing, and analysis

Overview

A .docx file is a ZIP archive containing XML files.

Quick Reference

Task	Approach
Read/analyze content	`pandoc` or unpack for raw XML
Create new document	Use `docx-js` - see Creating New Documents below
Edit existing document	Unpack → edit XML → repack - see Editing Existing Documents below

Converting .doc to .docx

Legacy .doc files must be converted before editing:

python scripts/office/soffice.py --headless --convert-to docx document.doc

Reading Content

# Text extraction with tracked changes
pandoc --track-changes=all document.docx -o output.md

# Raw XML access
python scripts/office/unpack.py document.docx unpacked/

Converting to Images

python scripts/office/soffice.py --headless --convert-to pdf document.docx
pdftoppm -jpeg -r 150 document.pdf page

Accepting Tracked Changes

To produce a clean document with all tracked changes accepted (requires LibreOffice):

python scripts/accept_changes.py input.docx output.docx

Creating New Documents

Generate .docx files with JavaScript, then validate. Install: npm install -g docx

Setup

const { Document, Packer, Paragraph, TextRun, Table, TableRow, TableCell, ImageRun,
        Header, Footer, AlignmentType, PageOrientation, LevelFormat, ExternalHyperlink,
        InternalHyperlink, Bookmark, FootnoteReferenceRun, PositionalTab,
        PositionalTabAlignment, PositionalTabRelativeTo, PositionalTabLeader,
        TabStopType, TabStopPosition, Column, SectionType,
        TableOfContents, HeadingLevel, BorderStyle, WidthType, ShadingType,
        VerticalAlign, PageNumber, PageBreak } = require('docx');

const doc = new Document({ sections: [{ children: [/* content */] }] });
Packer.toBuffer(doc).then(buffer => fs.writeFileSync("doc.docx", buffer));

Validation

After creating the file, validate it. If validation fails, unpack, fix the XML, and repack.

python scripts/office/validate.py doc.docx

Read the full file on GitHub · 591 lines

Files

What ships with it

60 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.

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.

1mo ago First seen · 591 lines · 168 tokens per session scan A cfbabd72b1ae

Subscribe to this mod's changes

docx is a skill published in the GitHub repository UnicomAI/wanwu (2,371 stars, last pushed 3d ago), licensed Apache-2.0. It adds 168 tokens to every session and 5,704 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 80% identical to docx, differing in 135 lines, and is treated as a copy.

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