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exploratory-data-analysis

zLanqing/codex-claude-academic-skillsSkill

Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing 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 scientific data formats.

ScannedSkillSource: GitHubContains scripts
5,085 stars +287 this week Updated 6mo ago License MIT Context ≈136 tokens always loaded
65popular

Why this score

Stars19/35
Usage (forks)6/15
Upkeep15/25
License15/15
Owner history10/10

This repo hosts 10 skills, so its 5,085 stars are split between them (about 509 each) for scoring.

Popularity score: 65/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Oct 20, 2026 at commit 7ed6377f0efb, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

Alternatives

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