evaluating-machine-learning-models
evaluating-machine-learning-models is a Model training & evaluation skill for AI agents, published by foryourhealth111-pixel in the Vibe-Skills repository on GitHub. Skillspace rates evaluating-machine-learning-models D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Evaluate trained machine learning models with the right metrics and comparison logic. Use for benchmark review, threshold selection, calibration, validation, and model comparison; not for feature engineering or leakage auditing.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 3,274
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
- Packaged: licensed, with a version or references
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
What the scanner flagged
- over-broad allowed-tools ('*')
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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