golang-gomlx
golang-gomlx is a Model training & evaluation skill for AI agents, published by gomlx in the gomlx repository on GitHub. Skillspace rates golang-gomlx C (75/100) and it passed the safety scan; the rating is based on static analysis only.
Machine learning models training and inference using GoMLX for Go. It provides an abstraction to create vectorized computation graphs, that can then be JIT-compiled (Just-In-Time) and executed very fast, with backends using XLA (for CPU/CUDA/TPU), Go and others. Includes a reach set of vector (tensors) operations on the graph, a rich ML library with various type of layers, support for training variables, optimizers, training loops, dataset iterators and more. Apply this skill when working ML projects, or needing to do very efficient vectorized (tensor) computations, like image processing, physics or chemestry simulation, etc.
- Grade
- C
- Quality
- 75 / 100
- Safety
- Passed
- GitHub stars
- 1,485
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
- 97 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Using the public GoMLX library for Go ML
What the scanner flagged
- over-broad allowed-tools ('*')
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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