latex-to-word

latex-to-word is a skill for Claude Code, Codex from guliqianxun/research-skills. It costs 180 tokens per session (3,035 once invoked), scanned A, original, MIT.

A conversion workflow that turns LaTeX manuscripts into editable Word documents while keeping references to figures, tables, equations, and numbered sources working. It can also adapt the document to a journal's Word template.

In plain words
What is it for?
Use it to prepare an editable .docx version of an academic paper for review or journal submission, with working references and matching formatting.
Why use it?
A basic LaTeX-to-Word export can lose numbering, break cross-references, expose formatting commands as text, and produce inconsistent styling. This handles those problems for manuscripts, including Chinese documents made with ctex.

Skill for Claude CodeCodex

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

Good fit Use it to prepare an editable .docx version of an academic paper for review or journal submission, with working references and matching formatting.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/guliqianxun/research-skills/latex-to-word
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 guliqianxun/research-skills --skill latex-to-word
Clone the repo
git clone --depth 1 https://github.com/guliqianxun/research-skills

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 latex-to-word

README.md
[![agentmods](https://agentmods.dev/badge/skills/guliqianxun/research-skills/latex-to-word/github.svg)](https://agentmods.dev/skills/guliqianxun/research-skills/latex-to-word)
Your own site
<a href="https://agentmods.dev/skills/guliqianxun/research-skills/latex-to-word"><img src="https://agentmods.dev/badge/skills/guliqianxun/research-skills/latex-to-word/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 latex-to-word

Your own site · 80×15
<a href="https://agentmods.dev/skills/guliqianxun/research-skills/latex-to-word"><img src="https://agentmods.dev/badge/skills/guliqianxun/research-skills/latex-to-word.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 180 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,035 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.
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 $0.00180 $0.03035
Opus 5 $0.00090 $0.01517
Sonnet 5 $0.00036 $0.00607
Haiku 4.5 $0.00018 $0.00303

Measured 12d ago against content hash 80ca9bff3b27, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

latex-to-word 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 12d ago.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/latex_to_docx.py, scripts/make_reference_doc.py, scripts/postprocess_docx_equations.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.

latex-to-word/SKILL.md · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LaTeX → Word

A naive pandoc manuscript.tex -o manuscript.docx almost never produces a usable Word file: figure/table cross-reference lists are empty, equation numbers disappear, bibliography numbering is wrong, ctex-specific layout commands (\zihao{}, \kaishu, \hangindent=...) leak through as literal text, and the styling drifts from the target template. This skill implements a four-stage pipeline (ctex-aware preprocess → pandoc with reference doc → SEQ-field postprocess → equation + style postprocess) that fixes all four problems at once.

1. Pick the right path

Ask the user these three questions before running anything — the answers determine which path to use:

  1. Does the output need to be editable in Word, or just look like the PDF?
  2. Do cross-references to figures/tables/equations/bibliography need to work inside Word?
  3. Should it match an existing Word template / house style (e.g. 气象与环境学报)?
Path When Command
Editable (main) Editable deliverable; cross-refs must work; template styling matters scripts/latex_to_docx.py
Review Quick internal read-through of text only; not a deliverable pandoc src.tex -o out.docx (plain)
Fidelity Must be .docx but visually identical to PDF; editing not needed Compile to PDF, then rasterize pages into a .docx (not in this skill — tell the user to use pdftoppm + python-docx if they need this)

Default to Editable unless the user explicitly asks for one of the others.

2. Why this takes four stages

LaTeX and Word have different reference systems, and ctex adds Chinese-academic layout commands pandoc can't parse:

  • \cite{key} — LaTeX computes the number at compile time. Word expects an actual numbered list that cross-reference dialogs can see.
  • \ref{fig:x} / \ref{tab:x} — In Word, cross-references require both a bookmark on the caption and a SEQ Figure / SEQ Table field in the caption paragraph. Pandoc creates the bookmark but not the SEQ field.
  • \eqref{eq:y} — Pandoc silently drops equation numbering. Cross-refs need us to (a) number each display equation with a SEQ Equation field, (b) bookmark the number, (c) emit REF fields in the body.
  • \zihao{}, \kaishu, \bfseries, \hangindent=..., \noindent, \hfill, \vspace{}, \rule{} — ctex-only layout commands; pandoc either ignores them or leaks them as literal text (=2.4em 摘要: is the classic symptom).

Read the full file on GitHub · 129 lines

Files

What ships with it

6 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.

  1. 12d ago First seen · 129 lines · 180 tokens per session scan A 80ca9bff3b27

Subscribe to this mod's changes

latex-to-word is a skill published in the GitHub repository guliqianxun/research-skills (5 stars, last pushed 4mo ago), licensed MIT. It adds 180 tokens to every session and 3,035 once invoked, about $0.0009 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 2026-08-31.

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