single-sheet-reading-and-analysis SKILL.md skillA
single-sheet-reading-and-analysis from opensensenova/sensenova-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add opensensenova/sensenova-skills/single-sheet-reading-and-analysis@git:20260426.f0ab496Pins git:20260426.f0ab496 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- opensensenova/sensenova-skills
- Path
skills/sn-da-excel-workflow/capability/excel-reading/single-sheet-reading/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260426.f0ab496, committed Apr 26, 2026
- Size
- 4,518 bytes
- Repository stars
- 6,031
- License
- MIT
读取并解析单个Excel工作表数据，支持合并单元格处理、数据清洗、交叉分析及多维度可视化，适用于需要从单表中提取关键指标并进行趋势模拟与图表生成的场景。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
## Skill Steps
Step1 导入依赖并配置中英文字体，防止图表乱码
```python
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import re
import base64
from IPython.display import HTML
# 设置中英文字体
plt.rcParams['font.sans-serif'] = ['SimHei', 'DejaVu Sans', 'WenQuanYi Zen Hei']
plt.rcParams['axes.unicode_minus'] = False
```
Step2 加载数据与基础清洗，包含合并单元格处理与正则提取
```python
def load_and_clean_data(file_path, sheet_name=0):
# 读取数据
df = pd.read_excel(file_path, sheet_name=sheet_name)
# 处理合并单元格：向前填充并还原
# df['group_col'] = df['group_col'].ffill()
# 标准化列名：去除首尾空格及换行符
df.columns = [str(col).strip().replace('\n', '') for col in df.columns]
# 数据清洗正则表达式示例：提取数值
if 'target_col' in df.columns:
df['target_col'] = df['target_col'].astype(str).apply(lambda x: re.sub(r'[^\d.]', '', x))
df['target_col'] = pd.to_numeric(df['target_col'], errors='coerce')
# 处理全空行缺失值
df = df.dropna(how='all')
return df
```
Step3 数据分类映射与多维度评分/分级算法
```python
def categorize_and_score(df, target_col):
# 分类映射函数骨架
def map_category(val):
if pd.isna(val):
return '未知'
elif val > 100: # 占位示例：高阈值
…Read the whole file at its exact version.
How to install
mdr add opensensenova/sensenova-skills/single-sheet-reading-and-analysis@sha256:84d603e8e091fd11The line at the top of this page pins the label git:20260426.f0ab496, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_tkoiwkd4vb2cem7e)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Apr 26, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4518 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
opensensenova/sensenova-skills · 6,031 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_tkoiwkd4vb2cem7e GET https://markdownregistry.com/api/v1/resolve?ref=opensensenova/sensenova-skills/single-sheet-reading-and-analysis GET https://markdownregistry.com/api/v1/blob/84d603e8e091fd11d59c0a04c9a8ffc6d1916770688aa7bdc997fd8a7500b6f2
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.