ml-data-leakage-guard
ml-data-leakage-guard is a Model training & evaluation skill for AI agents, published by foryourhealth111-pixel in the Vibe-Skills repository on GitHub. Skillspace rates ml-data-leakage-guard C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Detects and prevents data leakage in machine learning and mathematical modeling. Use after ML tasks involving data cleaning, feature engineering, data augmentation, algorithm development, normalization, missing value imputation, dimensionality reduction, feature selection, or time series modeling. Checks if features/statistics would be available at prediction time.
- Grade
- C
- Quality
- 71 / 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
- Portable: works in any project. General ML data-leakage checks applicable to any modeling work
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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