dynamic-percentage-and-large-file-analysis SKILL.md skillA
dynamic-percentage-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/dynamic-percentage-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-data-statistics/percentage-calculation/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260426.f0ab496, committed Apr 26, 2026
- Size
- 3,684 bytes
- Repository stars
- 6,031
- License
- MIT
根据文件行数动态切换大文件处理策略（Parquet转换），通过逐行扫描或列匹配提取关键指标并计算占比、均值等统计量，最终输出结构化Excel报告及可视化图表。.
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 在数据中动态定位关键字段，通过逐行扫描匹配关键词提取数值，并进行条件筛选与占比计算。
```python
key_values = {}
target_col = None
value_col = 'target_value_col'
# 动态查找目标分类列
for col in df_analysis.columns:
if 'keyword1' in col.lower() or 'keyword2' in col.lower():
target_col = col
break
# 通用字段查找逻辑：逐行扫描匹配关键词并提取首个正数
for idx, row in df_analysis.iterrows():
row_str = str(row.values)
if '指标A' in row_str and '指标A' not in key_values:
for val in row.values:
if isinstance(val, (int, float)) and val > 0:
key_values['指标A'] = val
break
if '指标B' in row_str and '指标B' not in key_values:
for val in row.values:
if isinstance(val, (int, float)) and val > 0:
key_values['指标B'] = val
break
# 条件筛选与统计
if target_col and '特定类别' in df_analysis[target_col].unique():
df_filtered = df_analysis[df_analysis[target_col] == '特定类别']
if value_col in df_filtered.columns:
…Read the whole file at its exact version.
How to install
mdr add opensensenova/sensenova-skills/dynamic-percentage-and-large-file-analysis@sha256:8e38e3a4751ba792The 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_6yk4a4jymk7ktmqf)
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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 (3684 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_6yk4a4jymk7ktmqf GET https://markdownregistry.com/api/v1/resolve?ref=opensensenova/sensenova-skills/dynamic-percentage-and-large-file-analysis GET https://markdownregistry.com/api/v1/blob/8e38e3a4751ba792ab373e8f206d639f19eefa8ba8a6f59b6c5fe0c8574ac677
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.