data-analysis SKILL.md skillA

data-analysis from evovexai/evoflow is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add evovexai/evoflow/data-analysis@git:20261028.1756e02

Pins git:20261028.1756e02 in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: evovexai/evoflow
Path: skills/public/data-analysis/SKILL.md
Versions recorded: 2
Latest version: git:20261028.1756e02, committed Oct 28, 2026
First version recorded: Sep 12, 2026
Size: 8,639 bytes
Repository stars: 540
License: a license file GitHub does not identify

Use this skill when the user uploads Excel (.xlsx/.xls) or CSV files and wants to perform data analysis, generate statistics, create summaries, pivot tables, SQL queries, or any form of structured data exploration. Supports multi-sheet Excel workbooks, aggregation, filtering, joins, and exporting results to CSV/JSON/Markdown.

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

# Data Analysis Skill

## Overview

This skill analyzes user-uploaded Excel/CSV files using DuckDB — an in-process analytical SQL engine. It supports schema inspection, SQL-based querying, statistical summaries, and result export, all through a single Python script.

## Core Capabilities

- Inspect Excel/CSV file structure (sheets, columns, types, row counts)
- Execute arbitrary SQL queries against uploaded data
- Generate statistical summaries (mean, median, stddev, percentiles, nulls)
- Support multi-sheet Excel workbooks (each sheet becomes a table)
- Export query results to CSV, JSON, or Markdown
- Handle large files efficiently with DuckDB's columnar engine

## Workflow

### Step 1: Understand Requirements

When a user uploads data files and requests analysis, identify:

- **File location**: Path(s) to uploaded Excel/CSV files under `/mnt/user-data/uploads/`
- **Analysis goal**: What insights the user wants (summary, filtering, aggregation, comparison, etc.)
- **Output format**: How results should be presented (table, CSV export, JSON, etc.)
- You don't need to check the folder under `/mnt/user-data`

### Step 2: Inspect File Structure
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add evovexai/evoflow/data-analysis@sha256:16b681ed3b99ee10

The line at the top of this page pins the label git:20261028.1756e02, 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.

Badge

[![mdr](https://markdownregistry.com/badge/art_vsnvp4k6tzeorqvt.svg)](https://markdownregistry.com/a/art_vsnvp4k6tzeorqvt)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Sep 12, 2026 and Oct 28, 2026, about one every 46 days.

version	committed	commit	size	audit
git:20261028.1756e02 latest	2026-10-28	1756e02	8,639 B	A	view · diff
git:20260912.6c490fd	2026-09-12	6c490fd	8,582 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.

pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (8639 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

GitHub

evovexai/evoflow · 540 stars · license a license file GitHub does not identify · pushed 2026-10-31 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_vsnvp4k6tzeorqvt
GET https://markdownregistry.com/api/v1/resolve?ref=evovexai/evoflow/data-analysis
GET https://markdownregistry.com/api/v1/blob/16b681ed3b99ee10643d0173a606c0e87885c0afef361fc5de48690150edebee

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.

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