excel-conditional-comparison-and-large-file-processing SKILL.md skillA
excel-conditional-comparison-and-large-file-processing 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-conditional-comparison-and-large-file-processing@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-cell-coloring/duplicate-value-coloring/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260426.f0ab496, committed Apr 26, 2026
- Size
- 3,103 bytes
- Repository stars
- 6,031
- License
- MIT
对比Excel多表中的特定系数并对异常值进行颜色标记。.
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
# excel-conditional-comparison-and-large-file-processing
> This sub-skill covers one capability of the Excel workflow. For reading/counting/Parquet optimization, see the parent workflow SKILL.md.
Step1 提取不同Sheet中特定维度（如“B1层”）的数值，并进行跨表逻辑对比。
```python
# 定义提取逻辑：定位目标行（如包含'B1'的行）并获取其关联的系数
def extract_target_value(df, target_label='B1', label_col_idx=0, offset_row=1, value_col_idx=2):
"""
在指定列搜索标签，并返回其相对偏移位置的数值
"""
extracted_values = []
for idx, row in df.iterrows():
if str(row.iloc[label_col_idx]).strip() == target_label:
# 提取目标行下方或特定偏移位置的数值
if idx + offset_row < len(df):
val = df.iloc[idx + offset_row].iloc[value_col_idx]
extracted_values.append(val)
return extracted_values
# 分别读取需要对比的Sheet
sheet1_df = pd.read_excel(file_path, sheet_name='Sheet1')
sheet2_df = pd.read_excel(file_path, sheet_name='Sheet2')
# 提取系数（示例：B1层的换算系数）
# 注意：不同Sheet的列索引可能不同，需根据实际结构调整
s1_coeffs = extract_target_value(sheet1_df, target_label='B1', label_col_idx=1, value_col_idx=3)
s2_coeffs = extract_target_value(sheet2_df, target_label='B1', label_col_idx=0, value_col_idx=2)
# 汇总对比数据
comparison_results = []
…Read the whole file at its exact version.
How to install
mdr add opensensenova/sensenova-skills/excel-conditional-comparison-and-large-file-processing@sha256:7a506a699d3e738fThe 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_6d2poaprshr7ybdk)
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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
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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
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
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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_6d2poaprshr7ybdk GET https://markdownregistry.com/api/v1/resolve?ref=opensensenova/sensenova-skills/excel-conditional-comparison-and-large-file-processing GET https://markdownregistry.com/api/v1/blob/7a506a699d3e738f53ce6280327babd46bca2ddccba29b086bba2b4e25d5fa49
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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.