swift-mlx
swift-mlx is a Model training & evaluation skill for AI agents, published by ml-explore in the mlx-swift repository on GitHub. Skillspace rates swift-mlx F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
MLX Swift - High-performance ML framework for Apple Silicon with lazy evaluation, automatic differentiation, and unified memory
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 1,963
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.
Our review
- Architecture
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- High-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- dynamic code execution (eval/exec)
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
Also published in 1 other repo
- kellyvv/PhoneClaw Risky
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.