data-exploratory-analysis SKILL.md skillA

data-exploratory-analysis from fourteen1416/academic-agent-toolkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add fourteen1416/academic-agent-toolkit/data-exploratory-analysis@v1.0

Pins v1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
fourteen1416/academic-agent-toolkit
Path
academic-toolkit/skills/data-exploratory-analysis/SKILL.md
Versions recorded
3
Latest version
v1.0, committed Oct 27, 2026
First version recorded
Sep 23, 2026
Size
14,329 bytes
Repository stars
12
License
a license file GitHub does not identify

Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats, with format detection, quality assessment, and markdown reports.

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

<!--ACAT-ADAPTED: 资产补齐自 K-Dense-AI/scientific-agent-skills@36d8f13a1e754618794bf42f417884940077b4ae(MIT,fork FOURTEEN1416)。上游 research-lookup/parallel-cli 等 API 依赖在本仓库不可直接运行,以当前 Agent 的联网检索/网页抓取能力替代;溯源见 references/UPSTREAM.md。2026-09-09 专项治理。-->
# 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
- Visualization 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", "analyze", or "summarize" a data file
- User wants to understand the structure and content of scientific data
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add fourteen1416/academic-agent-toolkit/data-exploratory-analysis@sha256:01adf3d755c058ae

The line at the top of this page pins the label v1.0, 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_ybsz6rlaa3i5hchs.svg)](https://markdownregistry.com/a/art_ybsz6rlaa3i5hchs)

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

Versions

The registry has recorded 3 versions of this file, between Sep 23, 2026 and Oct 27, 2026, about one every 17 days.

versioncommittedcommitsizeaudit
v1.0 latest2026-10-27 16098cd 14,329 BA view · diff
v1.02026-09-27 a059f3a 14,310 BA view · diff
v1.02026-09-23 b04430e 14,266 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 (14329 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

fourteen1416/academic-agent-toolkit · 12 stars · license a license file GitHub does not identify · pushed 2026-10-27 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ybsz6rlaa3i5hchs
GET https://markdownregistry.com/api/v1/resolve?ref=fourteen1416/academic-agent-toolkit/data-exploratory-analysis
GET https://markdownregistry.com/api/v1/blob/01adf3d755c058ae2386b6d12d47556e62ba7626fa2c1838855984cae9aaf3ea

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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