docx

docx is a skill for Claude Code, Codex from gabrielmoreira/agent-skills-mirror. It costs 168 tokens per session (7,944 once invoked), scanned A, original, MIT.

A guide for creating, reading, editing, and analysing Microsoft Word documents in the .docx format.

In plain words
What is it for?
Use it to create reports with headings, tables of contents, page numbers, images, and references, or to inspect and modify existing documents.
Why use it?
It provides repeatable ways to work with document structure and formatting instead of treating Word files as plain text.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 /builtin-skills/docx/scripts/office/soffice.py --headless --convert-to docx document.doc.

Good fit Use it to create reports with headings, tables of contents, page numbers, images, and references, or to inspect and modify existing documents.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/gabrielmoreira/agent-skills-mirror
agentmods
npx agentmods add skills/gabrielmoreira/agent-skills-mirror/docx

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.

agentmods badge for docx

README.md
[![agentmods](https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/docx/github.svg)](https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/docx)
Your own site
<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/docx"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/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.

agentmods 80×15 button for docx

Your own site · 80×15
<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/docx"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/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 7,944 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 577
    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 658
    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 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 5.1 $0.00168 $0.07944
Opus 5 $0.00084 $0.03972
Sonnet 5 $0.00034 $0.01589
Haiku 4.5 $0.00017 $0.00794

Measured 9d ago against content hash 5cf50bdd3da4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, 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 9d 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.

mirrors/repos/AgentTeam-TaichuAI@ScienceClaw/ScienceClaw/backend/builtin_skills/docx/SKILL.md · 750 lines

How it starts

The opening of the file, as written. The whole thing — 750 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.

For structured reports with cover page, TOC, tables, images, and references, use the pre-built template. The DOCX generator accepts the same JSON schema as the PDF generator, so one report_data.json can produce both formats.

Step 1: Copy the generator script

cp /builtin-skills/docx/scripts/generate_report.js ./generate_report.js

Step 2: Build report_data.json

Two phases: write section text files, then assemble into JSON.

Phase 1 — Write each section as a plain text file using write_file:

For each major section, read_file the relevant research data, then write_file the section content directly:

read_file("research_data/literature.md")           # refresh data in context
write_file("sections/sec_01_intro.txt", "...")      # write section content
write_file("sections/sec_02_mutations.txt", "...")   # next section
...

Each section file should be 1,000-2,000+ words with specific data, citations, and analysis.

NEVER write a Python script that contains section text as string literals. The section content goes directly into .txt files via write_file, not into Python code. Do NOT write scripts named "generate_sections", "create_content", "build_report" etc. that embed text in Python strings. If a sandbox script fails twice, switch to direct write_file calls.

Writing style — academic research report (CRITICAL):

  • Write continuous flowing prose. Each paragraph: 8–10 sentences following the pattern: topic sentence → supporting evidence with specific data → analysis/comparison → transition to next point.
  • Use in-text citations [1], [2] when referencing data. These render as blue superscript in the DOCX. Do NOT add a "References" list at the end of each chapter — all references go in ONE final references section.
  • Synthesize across sources: "Study A [1] reported X, while Study B [2] found Y, suggesting that Z."
  • Use academic connectives: "Furthermore", "In contrast", "These findings indicate", "Notably", "Taken together".
  • NEVER use numbered-point structure (e.g. "1. Topic Title\n\nParagraph. 2. Topic Title\n\nParagraph."). Instead, use ## subheadings for structure and prose paragraphs for content. The template's renderText correctly renders ##/### as formatted subheadings.
  • Bullet lists: max 5% of section, only for short enumerations (e.g. 4-5 drug names).

Read the full file on GitHub · 750 lines

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. 9d ago First seen · 750 lines · 168 tokens per session scan A 5cf50bdd3da4

Subscribe to this mod's changes

docx is a skill published in the GitHub repository gabrielmoreira/agent-skills-mirror (17 stars, last pushed yesterday), licensed MIT. It adds 168 tokens to every session and 7,944 once invoked, about $0.0008 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 2026-09-03.

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