exploratory-data-analysis
exploratory-data-analysis is an Exploratory analysis & notebooks skill for AI agents, published by minicoohei in the ai-agent-camp repository on GitHub. Skillspace rates exploratory-data-analysis B (84/100) and it passed the safety scan; the rating is based on static analysis only.
200以上のファイル形式に対応した探索的データ分析（EDA）スキル。 「データを分析して」「EDAして」「ファイルの中身を調べて」等のリクエストで発動。 ファイル自動検出、品質評価、統計サマリー、可視化推奨を含むレポート生成。
- Grade
- B
- Quality
- 84 / 100
- Safety
- Passed
- GitHub stars
- 346
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded B with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked 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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