numeric-format-normalization SKILL.md skillA
numeric-format-normalization 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/numeric-format-normalization@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-cleaning/numeric-format-normalization/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260426.f0ab496, committed Apr 26, 2026
- Size
- 2,603 bytes
- Repository stars
- 6,031
- License
- MIT
对 Excel 数据进行数值格式标准化与清洗，支持大规模数据的 Parquet 转换流程，并完成关键指标的合计核对与结果文件导出。.
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 对目标列进行数据清洗（去除空值、标准化数值格式），计算合计值，并与指定汇总 Sheet 中的合计行进行精确核对。
```python
target_col = '目标数值列' # 示例：'建筑面积'
summary_sheet_name = 'Summary' # 示例汇总Sheet名
summary_item_col = '项目'
summary_value_col = '数值'
# 数据清洗：去除空值、强制转换为数值格式
df_cleaned = df_processed.dropna(subset=[target_col]).copy()
df_cleaned[target_col] = pd.to_numeric(df_cleaned[target_col], errors='coerce')
# 计算合计
total_calculated = df_cleaned[target_col].sum()
# 从指定 Sheet 中读取“合 计”行数值进行核对
try:
summary_sheet = pd.read_excel(file_path, sheet_name=summary_sheet_name)
expected_total = summary_sheet.loc[summary_sheet[summary_item_col] == '合 计', summary_value_col].values[0]
# 核对一致性 (处理浮点数精度问题)
if abs(total_calculated - expected_total) < 1e-6:
consistency = "一致"
difference = 0
else:
consistency = "不一致"
difference = abs(total_calculated - expected_total)
print(f"计算合计: {total_calculated}, 指定合计: {expected_total}, 一致性: {consistency}")
except Exception as e:
print(f"核对失败: {e}")
expected_total = None
…Read the whole file at its exact version.
How to install
mdr add opensensenova/sensenova-skills/numeric-format-normalization@sha256:28576fb2cc40ba5cThe 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_en54ldsio46bgv6m)
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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 name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2603 bytes)
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- pass: No instruction hidden inside an HTML comment
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- pass: No instruction to send local credentials anywhere
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- 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_en54ldsio46bgv6m GET https://markdownregistry.com/api/v1/resolve?ref=opensensenova/sensenova-skills/numeric-format-normalization GET https://markdownregistry.com/api/v1/blob/28576fb2cc40ba5c9a4ba7c6349af7ef9a8a35b53eb9f2e89d75362e3426c57a
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.