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.
npx agentmods add skills/coderwanfeng/python-office/create_articlenpx skills add CoderWanFeng/python-office --skill create_articlegit clone --depth 1 https://github.com/CoderWanFeng/python-officeWhat 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 | $0.00036 | $0.00234 |
| Opus 5 | $0.00018 | $0.00117 |
| Sonnet 5 | $0.00007 | $0.00047 |
| Haiku 4.5 | $0.00004 | $0.00023 |
Grade A, and why
create_article 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.
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.
What it actually says
create_article Skill
创建文章
功能描述
根据给定的主题，自动创建指定行数的文章。
所属分类
office/skills/tools/create_article/
调用方式
from skills.tools import create_article
create_article(
theme='人工智能的发展',
line_num=300
)
参数说明
| 参数 | 类型 | 必填 | 默认值 | 说明 |
|---|---|---|---|---|
theme |
str | 是 | - | 文章的主题 |
line_num |
int | 否 | 200 |
文章的行数 |
返回值
None
使用示例
from skills.tools import create_article
create_article(theme='Python 自动化办公', line_num=500)
原始函数
office.api.tools.create_article
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.
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.
- yesterday First seen · 50 lines · 36 tokens per session scan A 564b0d3d883d
create_article is a skill published in the GitHub repository CoderWanFeng/python-office (1,346 stars, last pushed 12d ago), licensed Apache-2.0. It adds 36 tokens to every session and 234 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.
Other skills, from other repositories
jmcomic
Search, browse, inspect album-specific or site-wide comments, and download manga from JMComic (18comic), obtain the latest Android APK from hect0x7/JMComic-APK, and invoke the upstream jm-view-server jms command for local reading. Use for manga discovery, ranking, comment analysis, downloads, post-processing…
mind-mem-development
MIND-Mem Python development guide.
buero
Ordnet Büroaufgaben, Korrespondenz und Fristen ohne Bindung an eine bestimmte Office-App.
python-runtime
Use this skill when the user needs to install, upgrade, or troubleshoot Python and pip environments. Covers four-tier fallback strategy: (1) DesireCore HTTP API for in-app installation, (2) DesireCore built-in Hatch CLI for Python version management, (3) system package managers (brew/apt/dnf/winget), (4) community…
bump-dependency
Bumps a Python package dependency across Home Assistant Core integrations, regenerates core requirement files, runs verification tests and prek lint, and prepares a pull request with proper release/compare links.
schema-exploration
Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.