excel-data-analysis-and-report-generation SKILL.md skillA
excel-data-analysis-and-report-generation 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/excel-data-analysis-and-report-generation@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/report-generation-export/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260426.f0ab496, committed Apr 26, 2026
- Size
- 5,009 bytes
- Repository stars
- 6,031
- License
- MIT
从Excel提取多类型数据，并生成包含可视化图表与下载链接的综合分析报告。.
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
## Skill Steps
> This sub-skill covers one capability of the Excel workflow. For reading/counting/Parquet optimization, see the parent workflow SKILL.md.
Step1 基于指定列提取有效代码或进行分类映射，生成包含占比与总计行的统计表，并支持交叉分析。
```python
# 分类映射函数骨架
def categorize_item(item_name):
category_a_keywords = ['keyword1', 'keyword2'] # 占位示例
if pd.isna(item_name):
return '未知'
if any(kw in str(item_name) for kw in category_a_keywords):
return '类别A'
return '其他'
target_col = '项目名称' # 替换为实际列名
group_col = '所属区域' # 替换为实际分组列名
if target_col in combined_df.columns:
combined_df['分类'] = combined_df[target_col].apply(categorize_item)
# value_counts + 占比 + 总计行
category_counts = combined_df['分类'].value_counts().reset_index()
category_counts.columns = ['类别', '数量']
total = category_counts['数量'].sum()
category_counts['占比'] = (category_counts['数量'] / total).apply(lambda x: f'{x:.2%}')
total_row = pd.DataFrame([{'类别': '总计', '数量': total, '占比': '100.00%'}])
category_counts = pd.concat([category_counts, total_row], ignore_index=True)
# 交叉分析 crosstab
if group_col in combined_df.columns:
…Read the whole file at its exact version.
How to install
mdr add opensensenova/sensenova-skills/excel-data-analysis-and-report-generation@sha256:5f1a618db974e69eThe 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_b72qo42hynm7lxk4)
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 (5009 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_b72qo42hynm7lxk4 GET https://markdownregistry.com/api/v1/resolve?ref=opensensenova/sensenova-skills/excel-data-analysis-and-report-generation GET https://markdownregistry.com/api/v1/blob/5f1a618db974e69ee7f38ceaf7b7d846e361a12d8c3078bf15e282f1f7376811
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.