multi-sheet-reading-and-analysis SKILL.md skillA
multi-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/multi-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/multi-sheet-reading/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260426.f0ab496, committed Apr 26, 2026
- Size
- 5,160 bytes
- Repository stars
- 6,031
- License
- MIT
用于读取多工作表Excel文件，动态评估数据量以启用Parquet大文件优化，并执行正则清洗、分类汇总、线性拟合及生成带格式的图表与结果文件。.
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
Step1 统计多工作表总行数，并根据数据量级（如≥1万行）动态启用Parquet格式转换以优化大文件读取性能。
```python
import pandas as pd
import os
from openpyxl import load_workbook
file_path = "your_excel_file.xlsx"
xls = pd.ExcelFile(file_path)
sheet_names = xls.sheet_names
# 统计所有sheet的数据行数
total_rows = 0
for sheet in sheet_names:
wb = load_workbook(file_path, read_only=True, data_only=True)
ws = wb[sheet]
max_row = ws.max_row
data_rows = max_row - 1 if max_row > 0 else 0
total_rows += data_rows
wb.close()
print(f"总数据行数: {total_rows}")
# 大文件优化：转换为Parquet格式读取
if total_rows >= 10000:
df = pd.read_excel(file_path, sheet_name=sheet_names[0])
parquet_path = '/tmp/temp_data.parquet'
df.to_parquet(parquet_path, engine='pyarrow')
df = pd.read_parquet(parquet_path)
else:
df = pd.read_excel(file_path, sheet_name=sheet_names[0])
```
Step2 使用正则表达式对指定文本列进行数据清洗（例如仅保留中文字符）。
```python
import re
def clean_chinese_text(text):
if pd.isna(text):
return text
s = str(text)
# 提取所有中文字符
chinese_chars = re.findall(r'[一-鿿]', s)
cleaned = ''.join(chinese_chars)
return cleaned if cleaned != '' else ''
target_col = '目标清洗列' # 替换为实际列名
if target_col in df.columns:
…Read the whole file at its exact version.
How to install
mdr add opensensenova/sensenova-skills/multi-sheet-reading-and-analysis@sha256:0f860c163543f230The 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_k2piqgdb5uq7znws)
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 (5160 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_k2piqgdb5uq7znws GET https://markdownregistry.com/api/v1/resolve?ref=opensensenova/sensenova-skills/multi-sheet-reading-and-analysis GET https://markdownregistry.com/api/v1/blob/0f860c163543f23079b91ec210b1f3341a07822ecb51ecb885f59eb52bc3cb98
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.