run-training

run-training is a Model training & evaluation skill for AI agents, published by dice-group in the dice-embeddings repository on GitHub. Skillspace rates run-training D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Configure and launch KGE model training in dicee. Use when training a KGE model, choosing a trainer backend, selecting a scoring technique, setting up multi-GPU/DDP/FSDP training, using weight averaging (SWA/EMA/SWAG), configuring periodic evaluation, or resuming training with continual learning.

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.

View source on GitHubdice-group/dice-embeddings

Our review

Architecture
96 / 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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