dataset-cleaning
dataset-cleaning is an Exploratory analysis & notebooks skill for AI agents, published by mkurman in the zorai repository on GitHub. Skillspace rates dataset-cleaning D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Clean, normalize, and prepare raw datasets for analysis or ML. Covers missing value handling, deduplication, outlier treatment, type normalization, categorical encoding, and transformation logging.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 320
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 1 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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