ovito-evidence-postprocessing
ovito-evidence-postprocessing is a Physics, mathematics & simulation skill for AI agents, published by Cai-aa in the CAE-Agent-Hub repository on GitHub. Skillspace rates ovito-evidence-postprocessing C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Evidence-first OVITO atomistic postprocessing for LAMMPS trajectories and other particle data, including pipeline construction, modifiers, coloring, clipping, camera setup, images, animations, tables, and state files. Use when Codex must inspect or present molecular-dynamics results while distinguishing OVITO Basic GUI availability from ovitos/external Python automation and separating rendering evidence from upstream solver evidence.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 889
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
- 99 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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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