link-prediction-api
link-prediction-api is an MLOps & model serving skill for AI agents, published by dice-group in the dice-embeddings repository on GitHub. Skillspace rates link-prediction-api D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Use a pre-trained KGE model for inference via the KGE class. Use when: loading a trained model, predicting missing links (head/relation/tail), answering multi-hop EPFO queries (1p 2p 3p 2i 3i ip pi 2u up), predicting literal values, accessing raw embeddings, deploying with the Gradio UI.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 67
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
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
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