Repository
deepmodeling/reacnetgenerator agent skills
- skill
- 1
- GitHub stars
- 103
GitHub description: “an automatic reaction network generator for reactive molecular dynamics simulation”
- Stars
- 103 (46 forks)
- Licence
- LGPL-3.0
- Last push
- Oct 2026
- Created
- Apr 2018
- reaction
- network
- hmm
- reactive
- md
- python
Install all skills
npx skills add deepmodeling/reacnetgeneratorAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in deepmodeling/reacnetgenerator, ranked
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Run ReacNetGenerator on reactive MD trajectories to generate reaction networks and reports. | deepmodeling/ | 103 | 1 repo | ~1.6k | Automated safety check: Pass | LGPL-3.0-or-later | 2 days ago |
Questions, answered from the data.
What is the best skill in deepmodeling/reacnetgenerator?
Reacnetgenerator from deepmodeling/reacnetgenerator ranks first of the 1 skills in deepmodeling/reacnetgenerator listed here, with the highest score: its repository has 103 GitHub stars, 1 other GitHub owner carry a copy, its SKILL.md loads about 1.6k tokens and it passes the automated safety check with no findings.
Are the skills in deepmodeling/reacnetgenerator official?
None yet. All 1 skills in deepmodeling/reacnetgenerator listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from deepmodeling/reacnetgenerator?
Run npx skills add deepmodeling/reacnetgenerator in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.