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.
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 skills add CoderWanFeng/python-office --skill excel2jsongit clone --depth 1 https://github.com/CoderWanFeng/python-officeWrote 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.
[](https://agentmods.dev/skills/coderwanfeng/python-office/excel2json)<a href="https://agentmods.dev/skills/coderwanfeng/python-office/excel2json"><img src="https://agentmods.dev/badge/skills/coderwanfeng/python-office/excel2json/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.
<a href="https://agentmods.dev/skills/coderwanfeng/python-office/excel2json"><img src="https://agentmods.dev/badge/skills/coderwanfeng/python-office/excel2json.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00051 | $0.00551 |
| Opus 5.5 | $0.00020 | $0.00220 |
| Sonnet 5.5 | $0.00010 | $0.00110 |
| Haiku 4.5 | $0.00005 | $0.00055 |
Grade A, and why
excel2json 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
excel2json Skill
把 Excel 转成程序能直接消费的 JSON
功能描述
把工作表转换成 JSON 兼容的 Python 对象，可直接写入文件或当接口数据使用。
三种结构：records（每行一个对象）、columns（每列一个数组）、values（纯二维数组）。
空单元格转 null，日期时间转 ISO 字符串，重复的列名自动加 _2、_3 后缀避免覆盖。
所属分类
skills/excel/excel2json/
调用方式
from skills.excel import excel2json
data = excel2json('商品表.xlsx', orient='records', output_path='goods.json')
参数说明
| 参数 | 类型 | 必填 | 默认值 | 说明 |
|---|---|---|---|---|
excel_path |
str | 是 | - | Excel 文件路径 |
sheet_name |
str | 否 | None |
工作表名，默认取第一个 |
orient |
str | 否 | 'records' |
records、columns 或 values |
output_path |
str | 否 | None |
JSON 输出路径，指定后同时写文件 |
indent |
int | 否 | 2 |
写文件时的缩进，None 表示压缩 |
ensure_ascii |
bool | 否 | False |
是否把中文转成 \uXXXX |
返回值
list | dict：records 和 values 返回列表，columns 返回字典。
使用示例
from skills.excel import excel2json
rows = excel2json('商品表.xlsx')
print(rows[0]) # {'商品名': '苹果', '价格': 5.5}
by_column = excel2json('商品表.xlsx', orient='columns')
print(by_column['价格']) # [5.5, 3.0, ...]
excel2json('商品表.xlsx', output_path='goods.json', ensure_ascii=False)
原始函数
contributors/my12yyds/excel2json.py
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 · 60 lines · 51 tokens per session scan A a44b27c85c92
excel2json is a skill published in the GitHub repository CoderWanFeng/python-office (1,368 stars, last pushed yesterday), licensed Apache-2.0. It adds 51 tokens to every session and 551 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 2026-10-27.
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