sn-da-large-file-analysis SKILL.md skillA
sn-da-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/sn-da-large-file-analysis@git:20260507.197eabbPins git:20260507.197eabb 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-large-file-analysis/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260507.197eabb, committed May 7, 2026
- First version recorded
- Apr 26, 2026
- Size
- 13,007 bytes
- Repository stars
- 6,031
- License
- MIT
万行以上 Excel 数据集的高性能分析引擎。提供 openpyxl read_only 流式读取（iter_rows 支持 10 万行以上）、Parquet 转换加速、内存优化、分块处理和大文件写入模式。**遇到以下任一情况就主动使用本 skill**：①数据行数 ≥ 10k（由 sn-da-excel-workflow 的行数评估步骤触发）；②用户出现触发词：大文件 / 大数据量 / 性能优化 / 内存不足 / OOM / 百万行 / 十万行 / 流式读取 / Parquet / 分块处理 / large file / big data / streaming read / chunked processing；③直接使用 pd.read_excel() 导致超时或内存溢出；④用户明确要求对大规模数据集进行高性能处理。仅不用于：小于 10k 行的常规 Excel 分析（使用 sn-da-excel-workflow 即可）。.
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
# Large Scale Excel Analysis Skill ## Mandatory Rules > **When total rows >= 10,000, you MUST use the methods in this skill.** | Data Scale | Read Strategy | Reason | |-----------|---------------|--------| | < 10k rows | `pd.read_excel()` directly | No memory pressure | | 10k–100k rows | `pd.read_excel()` → convert to Parquet → `pd.read_parquet()` for analysis | Avoid repeated slow reads | | 100k–1M rows | **openpyxl `read_only` + `iter_rows` streaming** → Parquet | `pd.read_excel()` will OOM or timeout | | > 1M rows | Streaming read + **multi-sheet split** (Excel max 1,048,576 rows per sheet) | Must chunk | **Prohibited:** - Do NOT use `pd.read_excel()` to fully load 100k+ row files - Do NOT search for fonts with `fc-list`, `find ... fonts`, or install packages with `pip install` - Do NOT use `df.iterrows()` on large DataFrames (use `itertuples()` or vectorized ops) - Do NOT use `df.apply(lambda...)` for operations that can be vectorized --- ## Environment Setup ```python import pandas as pd import numpy as np import os import gc pd.options.mode.copy_on_write = True # CJK font setup (fixed paths — do NOT search for fonts) …
Read the whole file at its exact version.
How to install
mdr add opensensenova/sensenova-skills/sn-da-large-file-analysis@sha256:e3f2c2472c5fd9e1The line at the top of this page pins the label git:20260507.197eabb, 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_cdvzxiec36febci6)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Apr 26, 2026 and May 7, 2026, about one every 11 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260507.197eabb latest | 2026-05-07 | 197eabb | 13,007 B | A | view · diff |
| git:20260426.f0ab496 | 2026-04-26 | f0ab496 | 12,490 B | A | view |
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 (13007 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_cdvzxiec36febci6 GET https://markdownregistry.com/api/v1/resolve?ref=opensensenova/sensenova-skills/sn-da-large-file-analysis GET https://markdownregistry.com/api/v1/blob/e3f2c2472c5fd9e1053c9bf62b8d29acc75dad534d48c28977fd044679b70f94
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.