range-reading-and-large-file-analysis SKILL.md skillA
range-reading-and-large-file-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/range-reading-and-large-file-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/range-reading/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260426.f0ab496, committed Apr 26, 2026
- Size
- 4,169 bytes
- Repository stars
- 6,031
- License
- MIT
读取多 Sheet Excel 文件，根据数据量动态选择处理策略，支持特定区域数据提取、大文件 Parquet 转换、统计分析及可视化图表生成。.
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 针对特定 Sheet 进行数据清洗与空值统计。支持处理带空格的列名，并计算关键指标的缺失率。
```python
target_sheet = "Sheet2"
target_col = "是否通过" # 示例列名，实际根据需求替换
# 读取指定 Sheet
df_target = pd.read_excel(file_path, sheet_name=target_sheet)
# 清洗列名：去除首尾空格
df_target.columns = [str(col).strip() for col in df_target.columns]
if target_col in df_target.columns:
null_count = df_target[target_col].isna().sum()
print(f"'{target_col}' 列为空的数量: {null_count}")
# 统计占比
stats = df_target[target_col].value_counts(dropna=False)
print("分类统计结果：\n", stats)
else:
print(f"未找到目标列: {target_col}")
```
Step2 大文件优化处理：将 Excel 转换为 Parquet 格式以提升后续读取速度，并提取特定行/列范围的数据进行结构化转换。
```python
import numpy as np
output_dir = "output_results"
os.makedirs(output_dir, exist_ok=True)
if is_large_file:
# 转换为 Parquet 格式
parquet_path = os.path.join(output_dir, "temp_data.parquet")
# 注意：大文件读取建议分块或指定关键列
df_full = pd.read_excel(file_path)
df_full.to_parquet(parquet_path, engine='pyarrow', index=False)
…Read the whole file at its exact version.
How to install
mdr add opensensenova/sensenova-skills/range-reading-and-large-file-analysis@sha256:4b8c8fcdd8737749The 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_e2frdvlurfsx3i5z)
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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 (4169 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_e2frdvlurfsx3i5z GET https://markdownregistry.com/api/v1/resolve?ref=opensensenova/sensenova-skills/range-reading-and-large-file-analysis GET https://markdownregistry.com/api/v1/blob/4b8c8fcdd87377493b714f8ff4dbe041c5100adb22400d0c4e32c46b7a93d99d
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.