multi-file-excel-parquet-analysis SKILL.md skillA
multi-file-excel-parquet-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-file-excel-parquet-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-file-reading/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260426.f0ab496, committed Apr 26, 2026
- Size
- 3,249 bytes
- Repository stars
- 6,031
- License
- MIT
读取多 Sheet Excel 文件并统计规模，支持大文件向 Parquet 格式转换、分类数据统计及可视化报告生成。.
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
> **Note**: This sub-skill covers one step of the Excel analysis workflow. For the full pipeline (file reading, row counting, large-file optimization, export), see the parent workflow SKILL.md.
Step1 读取 Excel 文件，遍历所有 Sheet 统计行数，评估数据规模。
```python
import pandas as pd
import os
file_path = "input_data.xlsx" # 替换为实际文件路径
if not os.path.exists(file_path):
print(f"Error: 文件 {file_path} 不存在")
else:
# 获取所有 sheet 名称
xl = pd.ExcelFile(file_path)
sheet_names = xl.sheet_names
print("Sheet 列表:", sheet_names)
total_rows = 0
for sheet in sheet_names:
# 仅读取第一列以快速统计行数，避免大文件内存溢出
df_tmp = pd.read_excel(file_path, sheet_name=sheet, usecols=[0])
row_count = len(df_tmp)
total_rows += row_count
print(f"Sheet: {sheet}, 行数: {row_count}")
print(f"总行数汇总: {total_rows}")
```
Step2 读取转换后的数据，执行分类统计分析，计算频数与占比。
```python
import pandas as pd
# 读取 Parquet 文件
df_analyzed = pd.read_parquet(output_parquet)
# 定义目标统计列（如 '剪裁结果'、'状态' 等）
target_col = '剪裁结果'
if target_col in df_analyzed.columns:
# 统计各分类数量及占比
counts = df_analyzed[target_col].value_counts()
percent = df_analyzed[target_col].value_counts(normalize=True) * 100
…Read the whole file at its exact version.
How to install
mdr add opensensenova/sensenova-skills/multi-file-excel-parquet-analysis@sha256:bede26fe4dd8c7efThe 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_tjqy6hz2z6r4hqhl)
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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 (3249 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_tjqy6hz2z6r4hqhl GET https://markdownregistry.com/api/v1/resolve?ref=opensensenova/sensenova-skills/multi-file-excel-parquet-analysis GET https://markdownregistry.com/api/v1/blob/bede26fe4dd8c7ef43b1913a727f64b05be844da615c2b8c9765e1b5d94f7f50
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.