Prepare, validate, and troubleshoot Gaussian molecular quantum chemistry jobs.

Custom licenceAuto-check passedResearch & Science

Install Gaussian

skills CLI
$ npx skills add JCLiuGroup/AI-Computational-Chemist --skill gaussian -a claude-code

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

GitHub CLI
$ gh skill install JCLiuGroup/AI-Computational-Chemist gaussian --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/JCLiuGroup/AI-Computational-Chemist.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tools/gaussian .claude/skills/gaussian && 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/

Facts

Skill name
gaussian
GitHub stars
143
Used in
1 other repo
Token cost
~1k tokens
SKILL.md length
393 words
Files
15 (incl. scripts, references)
Skills in repo
21
Repo updated
First seen
Licence
Custom licence

At a glance

Prepare, validate, and troubleshoot Gaussian molecular quantum chemistry jobs.

  • Works in 6 steps: Decide the scientific quantity before… → Build the route from running.md plus the… → Submit via hpc-submit (single-node… → …
  • Geometry optimization
  • SKILL.md covers Required inputs, Where to find what, Workflow and Hard guardrails
  • Runs Python scripts from its folder; calls uv

What it does

Gaussian is an agent skill from JCLiuGroup/AI-Computational-Chemist. Prepare, validate, and troubleshoot Gaussian molecular quantum chemistry jobs. Use for single-point, geometry optimization, frequency/thermochemistry, transition states, IRC, scans, solvation, weak interactions, TD-DFT spectra, wavefunction stability, and Gaussian input/output handling for finite molecules.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 17 other files, including scripts and reference files (for example `examples/README.md`, `references/basis-ecp-genecp.md` and `references/energy-thermochemistry.md`).

It sits in Research & Science, covering Drug discovery and cheminformatics.

When your agent uses it

  • Geometry optimization
  • Frequency/thermochemistry
  • Transition states
  • Weak interactions

Example prompts

  • “/gaussian”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Decide the scientific quantity before choosing Gaussian keywords; consult knowledge/molecular-qc-practical-rules.md when the issue is…
  2. Build the route from running.md plus the relevant topic reference. State charge/multiplicity origin.
  3. Submit via hpc-submit (single-node unless a site-specific Linda setup is explicitly approved).
  4. Validate: uv run scripts/parse_gaussian.py JOB.log; rules in validation.md. On error → exact link/message in errors.md, then the topic…
  5. Extract energies and properties only after validation, using energy-thermochemistry.md or properties-utilities.md.
  6. For post-processing beyond Gaussian's own output, hand off validated .log/.fchk/cube files to tools/multiwfn/.

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 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.

    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

Gaussian loads about 1k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 393 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~10k

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 393 words (~1,024 tokens).

“Job types: SP, Opt, Freq, Opt+Freq, TS search, IRC, scans, solvent models, counterpoise, wavefunction stability, and TD-DFT spectra — route templates and operational details are in the references below.”

— opening of SKILL.md by JCLiuGroup, Custom licence
name
gaussian

Read the full SKILL.md on GitHub

Files

SKILL.md and 14 other files (scripts, references) in tools/gaussian of JCLiuGroup/AI-Computational-Chemist.

  • SKILL.md
  • examples/README.md
  • references/basis-ecp-genecp.md
  • references/energy-thermochemistry.md
  • references/errors.md
  • references/gaussview.md
  • references/opt-ts-irc.md
  • references/properties-utilities.md
  • references/resources.md
  • references/running.md
  • references/scf-stability.md
  • references/solvation-bsse.md
  • references/td-dft.md
  • references/validation.md
  • scripts/parse_gaussian.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

Gaussian 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.

Gaussian compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Gaussian this skillJCLiuGroup/AI-Computational-Chemist1431 repos~1kAutomated safety check: PassCustom licence
MolecodeAtomFlow-AI/MoleCode305—~1.9kAutomated safety check: PassMIT
Drug DiscoveryTommy-yw/RunbookHermes5461 repos~2.3kAutomated safety check: PassMIT
DiffDock Molecular DockingK-Dense-AI/scientific-agent-skills48k1 repos~3kAutomated safety check: NotesMIT
Biomedical Analysis Dispatchxjtulyc/MedgeClaw6171 repos~2kAutomated safety check: PassNone
Edu Chem Reactionwy51ai/edulab1.4k—~1.2kAutomated safety check: PassApache-2.0

Similar skills

  • Molecode

    AtomFlow-AI/MoleCode

    A skill your agent uses for deterministic molecule understanding, graph-level editing, generation, and validation with MoleCode — an explicit Mermaid graph in which every atom and bond is a typed…

    305 GitHub stars~1.9k tokensUpdated 4 mo ago
    Research & ScienceAuto-check passed
  • Drug Discovery

    Tommy-yw/RunbookHermes

    Pharmaceutical research assistant for drug discovery workflows.

    546 GitHub starsUsed in 1 repo~2.3k tokens
    Research & ScienceAuto-check passed
  • DiffDock Molecular Docking

    K-Dense-AI/scientific-agent-skills

    Predicts how small molecules bind to a protein with DiffDock, covering batch docking, pose ranking by confidence and checks on the results; not for binding affinity.

    48k GitHub starsUsed in 1 repo~3k tokens
    Research & ScienceAuto-check: notes
  • Routes bioinformatics, drug discovery, clinical and multi-omics tasks from a chat interface to Claude Code sessions running K-Dense scientific skills, with a live dashboard per task.

    617 GitHub starsUsed in 1 repo~2k tokens
    Research & ScienceAuto-check passed
  • Edu Chem Reaction

    wy51ai/edulab

    把一个化学反应做成自包含的微观 3D 交互演示网页:左/上为 Three.js 可交互分子动画 (拖滑块看断键·成键·原子重组,分步高亮),右为 KaTeX 反应方程 + 分步讲解 + 原子守恒计数 + 可选能量-反应进程曲线。支持三入口——给定文字反应/方程、随机出题、上传图片识别后演示。

    1.4k GitHub stars~1.2k tokensUpdated 9 days ago
    Research & ScienceAuto-check passed
  • Biopipelines

    locbp-uzh/biopipelines

    Design and run computational protein and ligand workflows on a GPU: binder and enzyme design, de novo backbone generation, inverse folding and sequence redesign, structure prediction, protein-ligand…

    109 GitHub stars~2.4k tokensUpdated 7 days ago
    Research & ScienceAuto-check passed

More from JCLiuGroup/AI-Computational-Chemist

All 21 skills in this repo
  • Research Orchestrator

    JCLiuGroup/AI-Computational-Chemist

    Define and maintain machine-readable research project state for multi-stage computational chemistry work.

    143 GitHub starsUsed in 1 repo~1.8k tokens
    Auto-check passed
  • Comp Chem Workflow

    JCLiuGroup/AI-Computational-Chemist

    Entry point and controller for computational chemistry and materials workflows.

    143 GitHub starsUsed in 1 repo~1.4k tokens
    Auto-check passed
  • Cp2k

    JCLiuGroup/AI-Computational-Chemist

    Prepare, validate, run, and troubleshoot CP2K calculations for periodic and large molecular systems.

    143 GitHub starsUsed in 1 repo~1.7k tokens
    Auto-check passed
  • Deepmd

    JCLiuGroup/AI-Computational-Chemist

    DeePMD-kit and Deep Potential Molecular Dynamics workflows. An agent skill from JCLiuGroup/AI-Computational-Chemist.

    143 GitHub starsUsed in 1 repo~780 tokens
    Auto-check passed
  • Gromacs

    JCLiuGroup/AI-Computational-Chemist

    Prepare, validate, run, resume, troubleshoot, and analyze GROMACS molecular dynamics.

    143 GitHub starsUsed in 1 repo~1.7k tokens
    Auto-check passed
  • Hpc Submit

    JCLiuGroup/AI-Computational-Chemist

    Submit, monitor, and recover computational chemistry jobs locally, over approved SSH targets, or through Slurm/PBS schedulers.

    143 GitHub starsUsed in 1 repo~878 tokens
    Auto-check passed

Questions about Gaussian

What does Gaussian do?

Prepare, validate, and troubleshoot Gaussian molecular quantum chemistry jobs. Gaussian is an agent skill from JCLiuGroup/AI-Computational-Chemist. Prepare, validate, and troubleshoot Gaussian molecular quantum chemistry jobs.

When should I use Gaussian?

Gaussian fits situations like: geometry optimization; frequency/thermochemistry; transition states; weak interactions.

How do I install Gaussian in Claude Code?

Run `npx skills add JCLiuGroup/AI-Computational-Chemist --skill gaussian -a claude-code`. Or copy the skill folder (tools/gaussian in JCLiuGroup/AI-Computational-Chemist) into .claude/skills/gaussian in your project. Claude Code loads it when a task matches its description.

How do I install Gaussian in Codex?

Run `npx skills add JCLiuGroup/AI-Computational-Chemist --skill gaussian -a codex`. Or copy the skill folder (tools/gaussian in JCLiuGroup/AI-Computational-Chemist) into .agents/skills/gaussian in your project. Codex loads it when a task matches its description.

Can I use Gaussian 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 gaussian -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gaussian, .gemini/skills/gaussian, .github/skills/gaussian and .opencode/skills/gaussian in your project.

What does Gaussian need to run?

Going by SKILL.md and its folder, Gaussian needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.

Does Gaussian access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Gaussian 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 Gaussian use?

Gaussian 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 Gaussian use?

About 1k tokens (SKILL.md is roughly 4.1k 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 9.1k tokens, read only when the agent opens those files.

What are the alternatives to Gaussian?

Skills that share tags, products or a category with Gaussian: Molecode (AtomFlow-AI/MoleCode, 305 stars), Drug Discovery (Tommy-yw/RunbookHermes, 546 stars), DiffDock Molecular Docking (K-Dense-AI/scientific-agent-skills, 48k stars) and Biomedical Analysis Dispatch (xjtulyc/MedgeClaw, 617 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Gaussian?

JCLiuGroup (a GitHub organization) maintains it in JCLiuGroup/AI-Computational-Chemist, which has 143 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.