exploratory-data-analysis SKILL.md skillA

exploratory-data-analysis from marielynneblock/arcanum-artifex is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add marielynneblock/arcanum-artifex/exploratory-data-analysis@git:20260710.0115f49

Pins git:20260710.0115f49 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
marielynneblock/arcanum-artifex
Path
skills/data-science/exploratory-data-analysis/SKILL.md
Versions recorded
5
Latest version
git:20260710.0115f49, committed Jul 10, 2026
First version recorded
Apr 6, 2026
Size
14,315 bytes
Repository stars
4
License
none declared

Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analysing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general…

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

# Exploratory Data Analysis

## Overview

Perform comprehensive exploratory data analysis (EDA) on scientific data files across multiple domains. This skill provides automated file type detection, format-specific analysis, data quality assessment, and generates detailed markdown reports suitable for documentation and downstream analysis planning.

**Key Capabilities:**
- Automatic detection and analysis of 200+ scientific file formats
- Comprehensive format-specific metadata extraction
- Data quality and integrity assessment
- Statistical summaries and distributions
- Visualisation recommendations
- Downstream analysis suggestions
- Markdown report generation

## When to Use This Skill

Use this skill when:
- User provides a path to a scientific data file for analysis
- User asks to "explore", "analyse", or "summarise" a data file
- User wants to understand the structure and content of scientific data
- User needs a comprehensive report of a dataset before analysis
- User wants to assess data quality or completeness
- User asks what type of analysis is appropriate for a file

## Supported File Categories
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add marielynneblock/arcanum-artifex/exploratory-data-analysis@sha256:7e3d52c5fd00077d

The line at the top of this page pins the label git:20260710.0115f49, 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 badge

[![mdr](https://markdownregistry.com/badge/art_jwirpypcedhb5xuh.svg)](https://markdownregistry.com/a/art_jwirpypcedhb5xuh)

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

Versions

The registry has recorded 5 versions of this file, between Apr 6, 2026 and Jul 10, 2026, about one every 24 days.

versioncommittedcommitsizeaudit
git:20260710.0115f49 latest2026-07-10 0115f49 14,315 BA view · diff
git:20260710.d1b3aa82026-07-10 d1b3aa8 14,315 BA view · diff
git:20260710.ffb34002026-07-10 ffb3400 14,315 BA view · diff
git:20260515.b861afb2026-05-15 b861afb 14,315 BA view · diff
git:20260406.05dff342026-04-06 05dff34 14,316 BA 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 (14315 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

marielynneblock/arcanum-artifex · 4 stars · license none declared · pushed 2026-09-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_jwirpypcedhb5xuh
GET https://markdownregistry.com/api/v1/resolve?ref=marielynneblock/arcanum-artifex/exploratory-data-analysis
GET https://markdownregistry.com/api/v1/blob/7e3d52c5fd00077df37a54527c36dd8a9ffd0b8c62ec50c945c61dde392218be

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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