ml-supply-chain
ml-supply-chain is a Model training & evaluation skill for AI agents, published by kishorkukreja in the awesome-supply-chain repository on GitHub. Skillspace rates ml-supply-chain F (53/100) and it passed the safety scan; the rating is based on static analysis only.
When the user wants to apply machine learning to supply chain problems, build ML models, or use AI for predictions. Also use when the user mentions "machine learning," "deep learning," "neural networks," "AI supply chain," "predictive models," "classification models," "regression models," "anomaly detection," "computer vision," or "NLP for supply chain." For traditional forecasting, see demand-forecasting. For optimization, see optimization-modeling.
- Grade
- F
- Quality
- 53 / 100
- Safety
- Passed
- GitHub stars
- 45
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
- 79 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 1 collections
What the scanner flagged
- mentions secrets in text
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.