ds-utils-unsupervised
ds-utils-unsupervised is a Model training & evaluation skill for AI agents, published by idanmoradarthas in the DataScienceUtils repository on GitHub. Skillspace rates ds-utils-unsupervised D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Provides evaluation and visualization for unsupervised learning and clustering. Use when the user asks to plot cluster cardinality, wants to visualize cluster magnitude, compare magnitude versus cardinality to find anomalies, or needs to determine the optimal number of clusters in a Python data science project using sklearn-compatible models.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 37
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 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
- 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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