excel-sheet-filter-export SKILL.md skillA
excel-sheet-filter-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/excel-sheet-filter-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/single-sheet-export/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260426.f0ab496, committed Apr 26, 2026
- Size
- 2,680 bytes
- Repository stars
- 6,031
- License
- MIT
动态统计多Sheet Excel文件行数以判断大文件处理逻辑，并根据特定条件筛选数据、重命名字段后导出为包含下载链接的新Excel文件，适用于多Sheet数据探查与条件过滤导出场景。.
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 读取目标Sheet，清理字段格式并根据特定条件筛选记录，统计关键指标。
```python
target_sheet = 'Sheet1' # 替换为实际sheet名
df_target = pd.read_excel(file_path, sheet_name=target_sheet)
# 清理目标列的字符串格式（去除首尾空格）
filter_col = 'group_col'
if filter_col in df_target.columns:
df_target[filter_col] = df_target[filter_col].astype(str).str.strip()
# 筛选符合条件的记录
target_value = 'target_value_example'
mask = df_target[filter_col] == target_value
df_filtered = df_target[mask]
# 统计特定范围的种类数量
target_col = 'target_col'
if target_col in df_filtered.columns:
specific_ranges = df_filtered[target_col].dropna().unique()
print(f"{target_col} 种类数量:", len(specific_ranges))
# 统计各分类数量与占比
value_counts_df = df_filtered[target_col].value_counts().reset_index()
value_counts_df.columns = [target_col, '数量']
value_counts_df['占比'] = (value_counts_df['数量'] / value_counts_df['数量'].sum()).map('{:.2%}'.format)
# 添加总计行
total_row = pd.DataFrame({
target_col: ['总计'],
'数量': [value_counts_df['数量'].sum()],
'占比': ['100.00%']
})
…Read the whole file at its exact version.
How to install
mdr add opensensenova/sensenova-skills/excel-sheet-filter-export@sha256:28c511c0cb0986f2The 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_cjqcvo4tlboruzz6)
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Versions
The registry has recorded 1 version of this file, committed on Apr 26, 2026.
Audit of the latest version
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- pass: Frontmatter declares a description
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- 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
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Source
opensensenova/sensenova-skills · 6,031 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_cjqcvo4tlboruzz6 GET https://markdownregistry.com/api/v1/resolve?ref=opensensenova/sensenova-skills/excel-sheet-filter-export GET https://markdownregistry.com/api/v1/blob/28c511c0cb0986f2f8712386e41fd417afb3b5e33009a1de733ad0e75ea5bc4b
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.