txt2pdf

A text-to-PDF converter that turns a plain text file, such as a .txt document, into a PDF file.

In plain words
What is it for?
Use it to create a PDF version of notes, articles, logs, or other text files.
Why use it?
It removes the need to reformat or copy plain text into another application before creating a PDF.

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/txt2pdf
Any agent
npx skills add CoderWanFeng/python-office --skill txt2pdf
Clone the repo
git clone --depth 1 https://github.com/CoderWanFeng/python-office

Made for: Claude Code, Codex.

Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 282 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 $0.00030 $0.00282
Opus 5 $0.00015 $0.00141
Sonnet 5 $0.00006 $0.00056
Haiku 4.5 $0.00003 $0.00028

Measured yesterday against content hash 4aa2eb006b0c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

txt2pdf 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/txt2pdf/SKILL.md · 54 lines

What it actually says

txt2pdf Skill

将文本文件转换为 PDF 文件

功能描述

将文本文件(.txt)转换为 PDF 格式。

所属分类

office/skills/pdf/txt2pdf/

调用方式

from skills.pdf import txt2pdf

txt2pdf(
    input_file='./test.txt',
    output_file='./test.pdf'
)

参数说明

参数 类型 必填 默认值 说明
input_file str - 文本文件路径
output_file str 'txt2pdf.pdf' 输出 PDF 文件路径

返回值

None

使用示例

from skills.pdf import txt2pdf
txt2pdf(input_file='./article.txt', output_file='./article.pdf')

视频教程

https://www.python4office.cn/python-office/popdf/%E8%AF%BE%E7%A8%8B/3-txt2pdf/

原始函数

office.api.pdf.txt2pdf

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 · 54 lines · 30 tokens per session scan A 4aa2eb006b0c

Subscribe to this mod's changes

txt2pdf is a skill published in the GitHub repository CoderWanFeng/python-office (1,346 stars, last pushed 12d ago), licensed Apache-2.0. It adds 30 tokens to every session and 282 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.

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