Agent skill

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…

MITAuto-check passedResearch & Science

Install Ovito Evidence Postprocessing

skills CLI

$ npx skills add Cai-aa/CAE-Agent-Hub --skill ovito-evidence-postprocessing -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install Cai-aa/CAE-Agent-Hub ovito-evidence-postprocessing --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/Cai-aa/CAE-Agent-Hub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Skill/ovito/ovito-evidence-postprocessing .claude/skills/ovito-evidence-postprocessing && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "ovito-evidence-postprocessing" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/ovito/ovito-evidence-postprocessing into .claude/skills/ovito-evidence-postprocessing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ovito-evidence-postprocessing", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/ovito/ovito-evidence-postprocessing

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add Cai-aa/CAE-Agent-Hub --skill ovito-evidence-postprocessing -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install Cai-aa/CAE-Agent-Hub ovito-evidence-postprocessing --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Cai-aa/CAE-Agent-Hub.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Skill/ovito/ovito-evidence-postprocessing .agents/skills/ovito-evidence-postprocessing && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "ovito-evidence-postprocessing" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/ovito/ovito-evidence-postprocessing into .agents/skills/ovito-evidence-postprocessing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ovito-evidence-postprocessing", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Cai-aa/CAE-Agent-Hub --skill ovito-evidence-postprocessing -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install Cai-aa/CAE-Agent-Hub ovito-evidence-postprocessing --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Cai-aa/CAE-Agent-Hub.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Skill/ovito/ovito-evidence-postprocessing .cursor/skills/ovito-evidence-postprocessing && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "ovito-evidence-postprocessing" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/ovito/ovito-evidence-postprocessing into .cursor/skills/ovito-evidence-postprocessing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ovito-evidence-postprocessing", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/Cai-aa/CAE-Agent-Hub.git --path Skill/ovito/ovito-evidence-postprocessing

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add Cai-aa/CAE-Agent-Hub --skill ovito-evidence-postprocessing -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install Cai-aa/CAE-Agent-Hub ovito-evidence-postprocessing --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Cai-aa/CAE-Agent-Hub.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Skill/ovito/ovito-evidence-postprocessing .gemini/skills/ovito-evidence-postprocessing && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "ovito-evidence-postprocessing" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/ovito/ovito-evidence-postprocessing into .gemini/skills/ovito-evidence-postprocessing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ovito-evidence-postprocessing", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install Cai-aa/CAE-Agent-Hub ovito-evidence-postprocessing

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add Cai-aa/CAE-Agent-Hub --skill ovito-evidence-postprocessing -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/Cai-aa/CAE-Agent-Hub.git skills-src && mkdir -p .github/skills && cp -r skills-src/Skill/ovito/ovito-evidence-postprocessing .github/skills/ovito-evidence-postprocessing && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "ovito-evidence-postprocessing" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/ovito/ovito-evidence-postprocessing into .github/skills/ovito-evidence-postprocessing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ovito-evidence-postprocessing", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Cai-aa/CAE-Agent-Hub --skill ovito-evidence-postprocessing -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install Cai-aa/CAE-Agent-Hub ovito-evidence-postprocessing --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Cai-aa/CAE-Agent-Hub.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Skill/ovito/ovito-evidence-postprocessing .opencode/skills/ovito-evidence-postprocessing && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "ovito-evidence-postprocessing" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/ovito/ovito-evidence-postprocessing into .opencode/skills/ovito-evidence-postprocessing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ovito-evidence-postprocessing", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: ovito-evidence-postprocessing
GitHub stars: 998
Token cost: ~468 tokens
SKILL.md length: 136 words
Files: 3 (incl. references)
Skills in repo: 57
Repo updated: Sep 30, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Evidence-first OVITO atomistic postprocessing for LAMMPS trajectories and other particle data, including pipeline construction, modifiers, coloring, clipping, camera setup, images, animations…

Codex must inspect
SKILL.md covers Start, Build the Pipeline and Finish
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
Tasks that involve Physical and earth sciences

What it does

Ovito Evidence Postprocessing is an agent skill from Cai-aa/CAE-Agent-Hub. 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.

Its SKILL.md is about 470 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/render-evidence.md`).

It sits in Research & Science, covering Physical and earth sciences. It works with Python. The licence is MIT.

When your agent uses it

Codex must inspect
Tasks that involve Physical and earth sciences

Example prompts

“/ovito-evidence-postprocessing”

Requirements

Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 194ef49. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are powershell).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ovito Evidence Postprocessing loads about 468 tokens when it runs, and up to ~657 if it reads all its reference files. Until then it costs about 117 tokens; SKILL.md has 136 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~117
When it runs · the whole SKILL.md, loaded when a task matches: ~468
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~657

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Cai-aa/CAE-Agent-Hub at commit 194ef49, republished under its MIT licence (© Cai-aa). 136 words, ~468 tokens.

Download SKILL.mdSave it as .claude/skills/ovito-evidence-postprocessing/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.

name: ovito-evidence-postprocessing
description: 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.

OVITO Evidence Postprocessing

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

Start

powershell

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.

Files

SKILL.md and 2 other files (references) in Skill/ovito/ovito-evidence-postprocessing of Cai-aa/CAE-Agent-Hub.

SKILL.md
agents/openai.yaml
references/render-evidence.md

Open the folder on GitHubat commit 194ef49

Compare with similar skills

Ovito Evidence Postprocessing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ovito Evidence Postprocessing compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Ovito Evidence Postprocessing this skillCai-aa/CAE-Agent-Hub	998	—	~468	Automated safety check: Pass	MIT	7 days ago
AstropyzLanqing/codex-claude-academic-skills	4.6k	14 repos	~2.9k	Automated safety check: Pass	BSD-3-Clause	4 mo ago
Cantera Ignition DelayK-Dense-AI/scientific-agent-skills	48k	1 repos	~2.2k	Automated safety check: Pass	MIT	2 days ago
Climate DsHongjian01/ClimWorkflow	102	—	~1.2k	Automated safety check: Pass	Custom licence	19 days ago
Chemgraphargonne-lcf/ChemGraph	162	—	~743	Automated safety check: Pass	Apache-2.0	2 days ago
FluidSim CFD Simulationsdavila7/claude-code-templates	32k	10 repos	~2.3k	Automated safety check: Pass	MIT	yesterday

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Works with

Python

Questions about Ovito Evidence Postprocessing

What does Ovito Evidence Postprocessing do?

Evidence-first OVITO atomistic postprocessing for LAMMPS trajectories and other particle data, including pipeline construction, modifiers, coloring, clipping, camera setup, images, animations…. Ovito Evidence Postprocessing is an agent skill from Cai-aa/CAE-Agent-Hub. 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.

When should I use Ovito Evidence Postprocessing?

Ovito Evidence Postprocessing fits situations like: Codex must inspect; tasks that involve Physical and earth sciences.

How do I install Ovito Evidence Postprocessing in Claude Code?

Run `npx skills add Cai-aa/CAE-Agent-Hub --skill ovito-evidence-postprocessing -a claude-code`. Or copy the skill folder (Skill/ovito/ovito-evidence-postprocessing in Cai-aa/CAE-Agent-Hub) into .claude/skills/ovito-evidence-postprocessing in your project. Claude Code loads it when a task matches its description.

How do I install Ovito Evidence Postprocessing in Codex?

Run `npx skills add Cai-aa/CAE-Agent-Hub --skill ovito-evidence-postprocessing -a codex`. Or copy the skill folder (Skill/ovito/ovito-evidence-postprocessing in Cai-aa/CAE-Agent-Hub) into .agents/skills/ovito-evidence-postprocessing in your project. Codex loads it when a task matches its description.

Can I use Ovito Evidence Postprocessing in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Cai-aa/CAE-Agent-Hub --skill ovito-evidence-postprocessing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ovito-evidence-postprocessing, .gemini/skills/ovito-evidence-postprocessing, .github/skills/ovito-evidence-postprocessing and .opencode/skills/ovito-evidence-postprocessing in your project.

What does Ovito Evidence Postprocessing need to run?

SKILL.md names no scripts, command-line tools or credentials: Ovito Evidence Postprocessing is instructions for the agent only. Our summary lists: Python 3.

Does Ovito Evidence Postprocessing access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ovito Evidence Postprocessing safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ovito Evidence Postprocessing use?

Ovito Evidence Postprocessing is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ovito Evidence Postprocessing use?

About 468 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 189 tokens, read only when the agent opens those files.

What are the alternatives to Ovito Evidence Postprocessing?

Skills that share tags, products or a category with Ovito Evidence Postprocessing: Astropy (zLanqing/codex-claude-academic-skills, 4.6k stars), Cantera Ignition Delay (K-Dense-AI/scientific-agent-skills, 48k stars), Climate Ds (Hongjian01/ClimWorkflow, 102 stars) and Chemgraph (argonne-lcf/ChemGraph, 162 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ovito Evidence Postprocessing?

Cai-aa (a GitHub user) maintains it in Cai-aa/CAE-Agent-Hub, which has 998 GitHub stars. The repository holds 57 skills in this directory. The repository was last updated on September 30, 2026.

Source: Cai-aa/CAE-Agent-Hub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Ovito Evidence Postprocessing

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

OVITO Evidence Postprocessing

Start

Build the Pipeline

Finish

Files

Compare with similar skills

Similar skills

More from Cai-aa/CAE-Agent-Hub

Related

Questions about Ovito Evidence Postprocessing