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 excel_dedupegit 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/excel_dedupe)<a href="https://agentmods.dev/skills/coderwanfeng/python-office/excel_dedupe"><img src="https://agentmods.dev/badge/skills/coderwanfeng/python-office/excel_dedupe/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/excel_dedupe"><img src="https://agentmods.dev/badge/skills/coderwanfeng/python-office/excel_dedupe.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 | $0.00052 | $0.00585 |
| Opus 5.5 | $0.00021 | $0.00234 |
| Sonnet 5.5 | $0.00010 | $0.00117 |
| Haiku 4.5 | $0.00005 | $0.00059 |
Grade A, and why
excel_dedupe 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 5d ago.
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
excel_dedupe Skill
按指定列给 Excel 去重，并说明哪一行和哪一行重复
功能描述
按一个列、多个列或整行判断重复，保留第一次（或最后一次）出现的记录， 同时返回重复明细：重复的是第几行、和保留的第几行重复、去重键是什么。 只给「去重后剩多少行」往往不够排查问题，所以重复明细是重点。
所属分类
skills/excel/excel_dedupe/
调用方式
from skills.excel import excel_dedupe
excel_dedupe(
excel_path='客户名单.xlsx',
key_columns=['手机号'],
output_path='去重后.xlsx',
)
参数说明
| 参数 | 类型 | 必填 | 默认值 | 说明 |
|---|---|---|---|---|
excel_path |
str | 是 | - | 需要去重的 Excel 路径 |
key_columns |
str | list | 否 | None |
去重列，单个列名或列名列表；默认整行 |
sheet_name |
str | 否 | None |
工作表名，默认取第一个 |
keep |
str | 否 | 'first' |
重复时保留 'first' 或 'last' |
case_sensitive |
bool | 否 | True |
文本是否区分大小写 |
output_path |
str | 否 | None |
去重结果输出路径 |
返回值
dict，包含 sheet、key_columns、total、unique、duplicate_count、
duplicates、output_path。duplicates 每项含 row、kept_row、key。
使用示例
from skills.excel import excel_dedupe
result = excel_dedupe('客户名单.xlsx', key_columns='手机号')
print('共 {} 行，去重后 {} 行'.format(result['total'], result['unique']))
for item in result['duplicates']:
print('第 {} 行与第 {} 行重复：{}'.format(item['row'], item['kept_row'], item['key']))
原始函数
contributors/my12yyds/excel_dedupe.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.
- 5d ago First seen · 62 lines · 52 tokens per session scan A d92f5724159b
excel_dedupe is a skill published in the GitHub repository CoderWanFeng/python-office (1,369 stars, last pushed 3d ago), licensed Apache-2.0. It adds 52 tokens to every session and 585 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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