deepmd

deepmd is a Chemistry & materials skill for AI agents, published by alekseyevich180 in the Genkai_Agent repository on GitHub. Skillspace rates deepmd D (65/100) and it passed the safety scan; the rating is based on static analysis only.

DeePMD-kit training, finetuning, testing, and model inspection skill. Use this skill whenever training or finetuning a Deep Potential (DP / DPA-1 / DPA-2) model, running model tests, or inspecting model parameters. Training is split into a preparation phase (data conversion + input.json generation, always local) and an execution phase (dp CLI commands, local or via dpdisp skill on hpc or Bohrium).

Grade
D
Quality
65 / 100
Safety
Passed
GitHub stars
31

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
90 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

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

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.