exploratory-data-analysis
zLanqing/codex-claude-academic-skills / scientific-toolkit-skill/references/scientific-skills/exploratory-data-analysis
analyzes a scientific data file , which improves: clear report on its quality before any processing
Details
- judge’s score
- 5/10
- place
- outside the packs
- publisher
- zLanqing
- status
- new
- pinned commit
- 7ed6377 on GitHub (new tab)
- skill’s last commit
- May 14, 2026
- repo stars
- 5,118
- main type
- Data
Judgement
Broad triggering ("any scientific file"), value mostly generic: placeholder-filled report and well-known tips. Strength: per-format references with Python libraries. Annexes truncated, script not read.
reservations
- scripts/eda_analyzer.py was not provided for review: its behavior and quality cannot be verified
- Format annexes truncated (about 5,000 characters out of 15,000 to 22,000): real coverage of the 200+ formats cannot be verified
- Very generic report template, full of placeholders, little added value compared to what Claude produces without the skill
- The title promises 200+ formats, but the body details only a handful of examples
- Triggering
- 1/2
- Added value
- 1/2
- Precision
- 1/2
- Scope
- 1/2
- Quality
- 1/2
Alerts
1 alert, by category
Static scan
- high risk
scripts run by the SKILL.md
scripts/eda_analyzer.py
Original description
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 rep…
added on Oct 19, 2026 · license MIT