gpumdkit-visualization
gpumdkit-visualization is a Scientific data analysis & plotting skill for AI agents, published by zhyan0603 in the GPUMDkit repository on GitHub. Skillspace rates gpumdkit-visualization F (54/100) and it passed the safety scan; the rating is based on static analysis only.
Use when plotting molecular dynamics simulation results, NEP training data, or transport properties. Supports 31+ plot types including training loss, parity plots, MSD, SDC, RDF, thermodynamic properties, Arrhenius plots, phonon DOS, thermal conductivity, and descriptor visualization. Use when user asks about: plotting, visualization, training results, MSD plot, RDF plot, thermal conductivity, Arrhenius plot, or NEP training visualization.
- Grade
- F
- Quality
- 54 / 100
- Safety
- Passed
- GitHub stars
- 162
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
- 82 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- GPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- over-broad allowed-tools ('*')
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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