deepmd-train
deepmd-train is a Model training & evaluation skill for AI agents, published by deepmodeling in the deepmd-kit repository on GitHub. Skillspace rates deepmd-train C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Train DeePMD-kit models with progressive disclosure. Use when the user wants to train a DeePMD-kit potential, prepare an input.json, choose between model families such as se_e2_a/DeepPot-SE and DPA3, run `dp train`, monitor learning curves, freeze checkpoints, or test trained models. Start with model selection and read only the selected model reference under `models/` when model-specific configuration is needed.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 1,982
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
- 94 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- LGPL-3.0
- Adoption
- Adopted by 1 other repositories, in 1 collections
- Scope
- Vendor-specific: built around one product. Training models with the public DeePMD-kit toolkit
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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