data-analysis
data-analysis is an Exploratory analysis & notebooks skill for AI agents, published by Everfern-AI in the Everfern repository on GitHub. Skillspace rates data-analysis D (67/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill for advanced data manipulation, statistical analysis, and visualization. Use Python with pandas, numpy, and matplotlib/seaborn to perform tasks like: deep data cleaning, trend analysis, statistical testing, creating charts/plots, and generating insights from structured data (CSV, JSON, SQL, etc.). If the user wants to understand patterns, see graphs, or perform complex calculations on data, use this skill. IMPORTANT: After analyzing data with this skill, use the 'frontend-design' skill directly to generate interactive HTML dashboards for presenting results visually. NEVER write Python to generate HTML.
- Grade
- D
- Quality
- 67 / 100
- Safety
- Passed
- GitHub stars
- 38
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 98 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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