machine-learning-force-field
machine-learning-force-field is a Chemistry & materials skill for AI agents, published by alekseyevich180 in the Genkai_Agent repository on GitHub. Skillspace rates machine-learning-force-field D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Concept skill for Machine Learning Force Fields (MLFFs). Describes what MLFFs are, the distinction between training and inference, and which tool skills to use. Load this before selecting a specific MLFF framework (DeePMD, MatterSim, etc.).
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 31
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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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