scikit-learn
scikit-learn is a Model training & evaluation skill for AI agents, published by foryourhealth111-pixel in the Vibe-Skills repository on GitHub. Skillspace rates scikit-learn C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 2,381
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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 1 collections
- Scope
- Vendor-specific: built around one product. Documents using the public scikit-learn machine-learning library.
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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