MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Use OVITO or the OVITO Python module for atomistic visualization and analysis of structures and trajectories, including rendering, common-neighbor/PTM structure classification, coordination/RDF…
Custom licenceAuto-check passed
Install Ovito
$ npx skills add JCLiuGroup/AI-Computational-Chemist --skill ovito -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install JCLiuGroup/AI-Computational-Chemist ovito --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/JCLiuGroup/AI-Computational-Chemist.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tools/ovito .claude/skills/ovito && rm -rf skills-srcUse ~/.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/
Install the "ovito" agent skill from https://github.com/JCLiuGroup/AI-Computational-Chemist/tree/main/tools/ovito into .claude/skills/ovito/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ovito", 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 install https://github.com/JCLiuGroup/AI-Computational-Chemist/tree/main/tools/ovitoType 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.
$ npx skills add JCLiuGroup/AI-Computational-Chemist --skill ovito -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install JCLiuGroup/AI-Computational-Chemist ovito --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JCLiuGroup/AI-Computational-Chemist.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tools/ovito .agents/skills/ovito && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ovito" agent skill from https://github.com/JCLiuGroup/AI-Computational-Chemist/tree/main/tools/ovito into .agents/skills/ovito/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ovito", 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.
$ npx skills add JCLiuGroup/AI-Computational-Chemist --skill ovito -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install JCLiuGroup/AI-Computational-Chemist ovito --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JCLiuGroup/AI-Computational-Chemist.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tools/ovito .cursor/skills/ovito && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ovito" agent skill from https://github.com/JCLiuGroup/AI-Computational-Chemist/tree/main/tools/ovito into .cursor/skills/ovito/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ovito", 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 https://github.com/JCLiuGroup/AI-Computational-Chemist.git --path tools/ovito--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add JCLiuGroup/AI-Computational-Chemist --skill ovito -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install JCLiuGroup/AI-Computational-Chemist ovito --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JCLiuGroup/AI-Computational-Chemist.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tools/ovito .gemini/skills/ovito && rm -rf skills-srcUse ~/.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/
Install the "ovito" agent skill from https://github.com/JCLiuGroup/AI-Computational-Chemist/tree/main/tools/ovito into .gemini/skills/ovito/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ovito", 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.
$ gh skill install JCLiuGroup/AI-Computational-Chemist ovitoInstalls 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).
$ npx skills add JCLiuGroup/AI-Computational-Chemist --skill ovito -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/JCLiuGroup/AI-Computational-Chemist.git skills-src && mkdir -p .github/skills && cp -r skills-src/tools/ovito .github/skills/ovito && rm -rf skills-srcUse ~/.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/
Install the "ovito" agent skill from https://github.com/JCLiuGroup/AI-Computational-Chemist/tree/main/tools/ovito into .github/skills/ovito/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ovito", 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.
$ npx skills add JCLiuGroup/AI-Computational-Chemist --skill ovito -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install JCLiuGroup/AI-Computational-Chemist ovito --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JCLiuGroup/AI-Computational-Chemist.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tools/ovito .opencode/skills/ovito && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ovito" agent skill from https://github.com/JCLiuGroup/AI-Computational-Chemist/tree/main/tools/ovito into .opencode/skills/ovito/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ovito", 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- GitHub stars
- 145
- Used in
- 1 other repo
- Token cost
- ~702 tokens
- SKILL.md length
- 301 words
- Files
- 9 (incl. scripts, references)
- Skills in repo
- 21
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Use OVITO or the OVITO Python module for atomistic visualization and analysis of structures and trajectories, including rendering, common-neighbor/PTM structure classification, coordination/RDF…
- Works in 5 steps: Confirm the source file and units with… → Load running.md for the matching task… → For quantitative analysis, run… → …
- SKILL.md covers Required inputs, Where to find what, Workflow and Hard guardrails
- Runs Python scripts from its folder
What it does
Ovito is an agent skill from JCLiuGroup/AI-Computational-Chemist. Use OVITO or the OVITO Python module for atomistic visualization and analysis of structures and trajectories, including rendering, common-neighbor/PTM structure classification, coordination/RDF, surface meshes, Wigner-Seitz defects, and trajectory-derived figures.
Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `examples/README.md`, `references/errors.md` and `references/resources.md`).
It works with Python.
Example prompts
- “/ovito”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Confirm the source file and units with the engine skill that produced it.
- Load running.md for the matching task family.
- For quantitative analysis, run ovito_analyze.py on a small frame range first; inspect counts and warnings.
- For figures, run ovito_render.py and visually inspect the image before using it in a report.
- Save the script, source file path, OVITO version, modifier parameters, frame range, and rendered/exported artifacts.
What it can do on your machine
Read from SKILL.md and the folder at commit e27b555. 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
Ships 2 files in scripts/ (Python), which the agent can run.
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 loads about 702 tokens when it runs, and up to ~6.4k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 301 words of instructions outside code blocks.
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); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 301 words (~702 tokens).
“Use this skill when the task is visual inspection, publication-style rendering, or atomistic trajectory/structure analysis with OVITO. It pairs naturally with VASP, LAMMPS, MLP, and structure-prep outputs.”
- name
- ovito
Files
SKILL.md and 8 other files (scripts, references) in tools/ovito of JCLiuGroup/AI-Computational-Chemist.
- SKILL.md
- examples/README.md
- references/errors.md
- references/resources.md
- references/running.md
- references/structure-rendering.md
- references/validation.md
- scripts/ovito_analyze.py
- scripts/ovito_render.py
Open the folder on GitHubat commit e27b555
Used in 1 other repository
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in JCLiuGroup/AI-Computational-Chemist, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Ovito 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ovito this skillJCLiuGroup/AI-Computational-Chemist | 145 | 1 repos | ~702 | Automated safety check: Pass | Custom licence | |
| MCP Server Builderanthropics/skills | 180k | 64 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| PDF Processinganthropics/skills | 180k | 48 repos | ~2k | Automated safety check: Pass | Proprietary | |
| NotebookLM Research AssistantPleasePrompto/notebooklm-skill | 7.8k | 14 repos | ~2.4k | Automated safety check: Notes | MIT | |
| Manim Video Productionbrowser-use/video-use | 28k | 6 repos | ~3k | Automated safety check: Pass | MIT | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT |
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Related
Works with
Questions about Ovito
What does Ovito do?
Use OVITO or the OVITO Python module for atomistic visualization and analysis of structures and trajectories, including rendering, common-neighbor/PTM structure classification, coordination/RDF…. Ovito is an agent skill from JCLiuGroup/AI-Computational-Chemist. Use OVITO or the OVITO Python module for atomistic visualization and analysis of structures and trajectories, including rendering, common-neighbor/PTM structure classification, coordination/RDF, surface meshes, Wigner-Seitz defects, and trajectory-derived figures.
How do I install Ovito in Claude Code?
Run `npx skills add JCLiuGroup/AI-Computational-Chemist --skill ovito -a claude-code`. Or copy the skill folder (tools/ovito in JCLiuGroup/AI-Computational-Chemist) into .claude/skills/ovito in your project. Claude Code loads it when a task matches its description.
How do I install Ovito in Codex?
Run `npx skills add JCLiuGroup/AI-Computational-Chemist --skill ovito -a codex`. Or copy the skill folder (tools/ovito in JCLiuGroup/AI-Computational-Chemist) into .agents/skills/ovito in your project. Codex loads it when a task matches its description.
Can I use Ovito 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 JCLiuGroup/AI-Computational-Chemist --skill ovito -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, .gemini/skills/ovito, .github/skills/ovito and .opencode/skills/ovito in your project.
What does Ovito need to run?
Going by SKILL.md and its folder, Ovito needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Ovito 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 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Ovito use?
Ovito has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Ovito use?
About 702 tokens (SKILL.md is roughly 2.8k 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 5.7k tokens, read only when the agent opens those files.
What are the alternatives to Ovito?
Skills that share tags, products or a category with Ovito: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ovito?
JCLiuGroup (a GitHub organization) maintains it in JCLiuGroup/AI-Computational-Chemist, which has 145 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on September 27, 2026.
Source: JCLiuGroup/AI-Computational-Chemist on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.