reacnetgenerator
reacnetgenerator is a Chemistry & materials skill for AI agents, published by Hello-QM in the catgo-LRG repository on GitHub. Skillspace rates reacnetgenerator D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Extract and visualize reaction networks from reactive MD trajectories using ReacNetGenerator. Use after ReaxFF or ab initio MD simulations to identify reaction pathways, species, and kinetics.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 165
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- AGPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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