pie-chart-data-analysis SKILL.md skillA
pie-chart-data-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/pie-chart-data-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-data-visualization/pie-chart-visualization/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260426.f0ab496, committed Apr 26, 2026
- Size
- 4,621 bytes
- Repository stars
- 6,031
- License
- MIT
对多Sheet Excel或CSV数据进行分类汇总统计，自动识别关键字段并生成包含占比、数值及美化饼图的可下载分析报告。.
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 读取文件并统计所有 Sheet 的行数，确认数据规模以决定处理策略。
```python
import pandas as pd
file_path = input_file
total_rows = 0
sheet_names = []
try:
if file_path.endswith('.xlsx'):
excel_file = pd.ExcelFile(file_path)
sheet_names = excel_file.sheet_names
# 统计所有工作表总行数
for sheet in sheet_names:
df_tmp = pd.read_excel(file_path, sheet_name=sheet)
total_rows += len(df_tmp)
elif file_path.endswith('.csv'):
df = pd.read_csv(file_path)
total_rows = len(df)
else:
raise ValueError("不支持的文件格式，仅支持 .xlsx 或 .csv")
except Exception as e:
raise RuntimeError(f"文件读取失败: {e}")
is_large_file = total_rows >= 10000
```
Step2 自动识别分类列与数值列，执行数据清洗与格式转换。
```python
import re
# 加载首个有效数据集
if file_path.endswith('.xlsx'):
df = pd.read_excel(file_path, sheet_name=sheet_names[0])
else:
df = pd.read_csv(file_path)
# 1. 识别数值目标列（如：金额、支出、得分、数量）
target_keywords = ['金额', '支出', '造价', '经费', '数量', '得分']
target_cols = [col for col in df.columns if any(k in col for k in target_keywords)]
target_col = target_cols[0] if target_cols else df.select_dtypes(include=['number']).columns[0]
# 2. 识别分类列（支持正则匹配中文序号或特定分类标识）
…Read the whole file at its exact version.
How to install
mdr add opensensenova/sensenova-skills/pie-chart-data-analysis@sha256:f4266ef75325ae9eThe 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_c6zw7tddxah2v3qh)
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 (4621 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_c6zw7tddxah2v3qh GET https://markdownregistry.com/api/v1/resolve?ref=opensensenova/sensenova-skills/pie-chart-data-analysis GET https://markdownregistry.com/api/v1/blob/f4266ef75325ae9eead6bbb113e74b32d8ec1d7cd5d863f34c760071feb96e02
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.