chart-embedded-export SKILL.md skillA
chart-embedded-export 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/chart-embedded-export@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-result-export/chart-embedded-export/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260426.f0ab496, committed Apr 26, 2026
- Size
- 4,725 bytes
- Repository stars
- 6,031
- License
- MIT
从结构化数据中提取分类分布执行清洗与统计，生成多维度交叉分析、高分辨率对比图表及包含下载链接的完整分析报告，适用于大文件处理与嵌入式可视化场景。.
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
> This sub-skill covers one capability of the Excel workflow. For reading/counting/Parquet optimization, see the parent workflow SKILL.md.
Step1 执行数据清洗，处理合并单元格，使用正则表达式清理文本，并建立分类映射函数骨架。
```python
target_col = '分类字段'
value_col = '数值字段'
# 合并单元格处理 (向下填充还原)
df[target_col] = df[target_col].ffill()
# 数据清洗：正则去除特殊字符、去空、类型转换
df[target_col] = df[target_col].astype(str).str.replace(r'[^\w\s]', '', regex=True).str.strip()
df[value_col] = pd.to_numeric(df[value_col], errors='coerce')
df = df.dropna(subset=[target_col, value_col])
# 分类映射函数骨架
def map_category(val):
if 'A类特征' in str(val): return 'Category_A'
elif 'B类特征' in str(val): return 'Category_B'
return 'Other'
df['Mapped_Category'] = df[target_col].apply(map_category)
```
Step2 进行多维度统计与交叉分析，计算分类占比并生成包含总计行的交叉表。
```python
group_col = '分组字段'
# value_counts 统计与占比计算
counts = df[group_col].value_counts()
proportions = (counts / counts.sum() * 100).round(2)
# 交叉分析 (crosstab)，包含总计行
cross_analysis = pd.crosstab(df[group_col], df['Mapped_Category'], margins=True, margins_name='总计')
# 多维度聚合统计
stats = df.groupby(group_col)[value_col].agg(['sum', 'mean', 'min', 'max']).round(2)
```
…Read the whole file at its exact version.
How to install
mdr add opensensenova/sensenova-skills/chart-embedded-export@sha256:73bebfb64c8cd0ddThe 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_cph2xam6vxxb6iyj)
4 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 (4725 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_cph2xam6vxxb6iyj GET https://markdownregistry.com/api/v1/resolve?ref=opensensenova/sensenova-skills/chart-embedded-export GET https://markdownregistry.com/api/v1/blob/73bebfb64c8cd0dd7e18cbb4d9a2d4fa72244f8b14a70182ee41ac4be0be3d6f
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.