course

course is a skill for Claude Code, Codex from CoderWanFeng/python-office. It costs 38 tokens per session (169 once invoked), scanned A, original, Apache-2.0.

A Python helper that displays tutorials, group information, source-code links, and other resources for the python-office library in a terminal.

In plain words
What is it for?
Use it when you need an introduction to python-office, usage guidance, community information, or its source-code address.
Why use it?
It puts the library's learning and reference links in one place, so users do not have to find them separately.

Skill for Claude CodeCodex

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

Good fit Use it when you need an introduction to python-office, usage guidance, community information, or its source-code address.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/coderwanfeng/python-office/course
About the project

python-office is a Python library that provides ready-to-use modules for automating office and media tasks such as PDF, Word, Excel, PowerPoint, email, WeChat, images, video, and OCR. It is for people who want to automate common work activities with short Python calls, including users with little Python experience. Its catalogue skills expose the library's individual automation areas to coding agents.

CoderWanFeng/python-office · 1,361 stars · on GitHub · python-office.com

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 CoderWanFeng/python-office --skill course
Clone the repo
git clone --depth 1 https://github.com/CoderWanFeng/python-office

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 course

README.md
[![agentmods](https://agentmods.dev/badge/skills/coderwanfeng/python-office/course/github.svg)](https://agentmods.dev/skills/coderwanfeng/python-office/course)
Your own site
<a href="https://agentmods.dev/skills/coderwanfeng/python-office/course"><img src="https://agentmods.dev/badge/skills/coderwanfeng/python-office/course/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 course

Your own site · 80×15
<a href="https://agentmods.dev/skills/coderwanfeng/python-office/course"><img src="https://agentmods.dev/badge/skills/coderwanfeng/python-office/course.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 169 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 pass 7 Sept 2026
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 $0.00038 $0.00169
Opus 5.5 $0.00015 $0.00068
Sonnet 5.5 $0.00008 $0.00034
Haiku 4.5 $0.00004 $0.00017

Measured 1mo ago against content hash 716c7f69ea78, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

course 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 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/tools/course/SKILL.md · 44 lines

What it actually says

course Skill

显示 python-office 库的相关信息和资源链接

功能描述

在终端中以彩色字体显示 python-office 库的使用教程、群组信息、源码地址等。

所属分类

office/skills/tools/course/

调用方式

from skills.tools import course

course()

参数说明

无参数。

返回值

None

使用示例

from skills.tools import course
course()

原始函数

office.api.tools.course

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. 1mo ago First seen · 44 lines · 38 tokens per session scan A 716c7f69ea78

Subscribe to this mod's changes

course is a skill published in the GitHub repository CoderWanFeng/python-office (1,361 stars, last pushed 2d ago), licensed Apache-2.0. It adds 38 tokens to every session and 169 once invoked, about $0.0002 per session on Opus 5.5. 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.