How do I install the Ovito Evidence Postprocessing skill?

Run npx skillmds@latest add cai-aa/ovito-evidence-postprocessing in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Ovito Evidence Postprocessing safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Ovito Evidence Postprocessing?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Ovito Evidence Postprocessing free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Ovito Evidence Postprocessing?

cai-aa (@cai-aa) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Ovito Evidence Postprocessing by cai-aa

Name: Ovito Evidence Postprocessing
Author: cai-aa

Ovito Evidence Postprocessing

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.

cai-aa 2c73cd0 3 files · 2.8 KB Updated Sep 17, 2026

File contents

OVITO Evidence Postprocessing

OVITO explains and renders atomistic data; it does not prove that the upstream simulation was physically correct.

Start

ai-cae-toolbox context-scope --solver ovito
ai-cae-toolbox bridge-plan --solver ovito --objective "<objective>"
ai-cae-toolbox create-run --solver ovito --case <case-name> --objective "<objective>"
ai-cae-toolbox write-smoke-template --solver ovito --run-dir <run-dir>

Use ovito_check_installation before scripting. OVITO Basic may include ovito.exe but not ovitos; configure a compatible external Python with the OVITO package when batch scripting is required.

Build the Pipeline

Record input trajectory, frame range, particle properties, modifiers and their parameters, selection/deletion rules, color mapping, clipping plane, camera, render size, background, and export interval.

For strain or defect visualizations, record the reference configuration, neighbor cutoff, crystal structure, and modifier assumptions. Read references/render-evidence.md.

Finish

Export the pipeline script, PNG/MP4, numeric table when available, and a short caption defining every color and scalar range. State whether the output came from OVITO, a compatible Python implementation, or another plotting library. Never label a substitute plot as native OVITO output.

Frequently asked questions