技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.2
统计：⭐ 0 · 393 · 6 current installs · 6 all-time installs
⭐ 0
安装量（当前） 6
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：anmu14641/simple-excel
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill is internally consistent — it is an instruction-only guide for using pandas to read/write .xlsx and .csv files and it does not request extra permissions, credentials, or install any code.
目的
Name/description (simple Excel processing) matches the SKILL.md content, which contains pandas examples for reading, writing, and basic manipulation of .xlsx/.csv files. There are no unrelated requirements or capabilities requested.
说明范围
SKILL.md contains only example Python/pandas snippets for file operations and basic transformations; it does not instruct the agent to read other system files, call external endpoints, or access credentials. Note: it implicitly assumes a Python environment with pandas (and potentially an Excel engine like openpyxl), but does not declare those dependencies.
安装机制
No install spec and no code files — instruction-only. Nothing will be downloaded or written to disk by the skill itself.
证书
The skill requests no environment variables, credentials, or config paths. This is proportional to its stated purpose.
持久
always is false and the default autonomous invocation setting is unchanged. The skill does not request permanent presence or modify other skills or system settings.
综合结论
This skill is a short how-to for using pandas to handle Excel/CSV files and does not require credentials or install anything. Before using: ensure your agent environment has Python and pandas (and an Excel engine such as openpyxl) if you want the examples to run; consider whether you trust any Excel files you open (avoid untrusted files — they can contain malicious content in other contexts, though pandas itself does not execute Excel macros).…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Simple Excel」。简介：简单的 Excel 文件处理工具。用于读取、创建、编辑 .xlsx 和 .csv 文件，适合基本的数据操作任务，如读取数据、简单计算、生成表格等。。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/anmu14641/simple-excel/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: simple-excel
version: "1.0.0"
description: "简单的 Excel 文件处理工具。用于读取、创建、编辑 .xlsx 和 .csv 文件，适合基本的数据操作任务，如读取数据、简单计算、生成表格等。"
---
# Simple Excel - 简化版 Excel 处理
## 快速开始
### 读取 Excel 文件
```python
import pandas as pd
# 读取 xlsx 或 csv
df = pd.read_excel('file.xlsx')
df = pd.read_csv('file.csv')
# 读取指定sheet
df = pd.read_excel('file.xlsx', sheet_name='Sheet1')
```
### 写入 Excel 文件
```python
import pandas as pd
# 保存为 xlsx
df.to_excel('output.xlsx', index=False)
# 保存为 csv
df.to_csv('output.csv', index=False)
```
### 简单数据处理
```python
import pandas as pd
# 筛选数据
df[df['列名'] > 10]
# 添加新列
df['新列'] = df['列1'] + df['列2']
# 分组统计
df.groupby('类别').sum()
# 排序
df.sort_values('金额', ascending=False)
```
## 常用操作
| 操作 | 代码 |
|------|------|
| 查看前几行 | `df.head()` |
| 查看数据类型 | `df.dtypes` |
| 统计摘要 | `df.describe()` |
| 选择列 | `df[['列A', '列B']]` |
| 筛选行 | `df[df['列'] > 100]` |
| 删除列 | `df.drop('列名', axis=1)` |
| 重命名列 | `df.rename(columns={'旧名': '新名'})` |
| 填充空值 | `df.fillna(0)` |
| 导出指定sheet | `df.to_excel('file.xlsx', sheet_name='新sheet')` |
## 注意事项
- 使用 `index=False` 避免导出索引列
- 中文字符在 Excel 中通常能正常显示
- 大文件建议使用 csv 格式