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…
Convert molecular file formats using Open Babel. An agent skill from Hello-QM/catgo-LRG.
$ npx skills add Hello-QM/catgo-LRG --skill openbabel -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Hello-QM/catgo-LRG openbabel --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/Hello-QM/catgo-LRG.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/openbabel .claude/skills/openbabel && 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 "openbabel" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/openbabel into .claude/skills/openbabel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openbabel", 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/Hello-QM/catgo-LRG/tree/main/.claude/skills/openbabelType 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 Hello-QM/catgo-LRG --skill openbabel -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Hello-QM/catgo-LRG openbabel --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/openbabel .agents/skills/openbabel && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "openbabel" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/openbabel into .agents/skills/openbabel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openbabel", 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 Hello-QM/catgo-LRG --skill openbabel -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Hello-QM/catgo-LRG openbabel --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/openbabel .cursor/skills/openbabel && 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 "openbabel" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/openbabel into .cursor/skills/openbabel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openbabel", 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/Hello-QM/catgo-LRG.git --path .claude/skills/openbabel--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 Hello-QM/catgo-LRG --skill openbabel -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Hello-QM/catgo-LRG openbabel --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/openbabel .gemini/skills/openbabel && 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 "openbabel" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/openbabel into .gemini/skills/openbabel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openbabel", 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 Hello-QM/catgo-LRG openbabelInstalls 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 Hello-QM/catgo-LRG --skill openbabel -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/openbabel .github/skills/openbabel && 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 "openbabel" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/openbabel into .github/skills/openbabel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openbabel", 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 Hello-QM/catgo-LRG --skill openbabel -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Hello-QM/catgo-LRG openbabel --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/openbabel .opencode/skills/openbabel && 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 "openbabel" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/openbabel into .opencode/skills/openbabel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openbabel", 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.
openbabelConvert molecular file formats using Open Babel. An agent skill from Hello-QM/catgo-LRG.
Openbabel is an agent skill from Hello-QM/catgo-LRG. Convert molecular file formats using Open Babel. Handles SMILES, mol2, sdf, pdb, xyz, cif, and 100+ other formats. Also performs 3D coordinate generation and hydrogen addition.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires Open Babel installed (apt install openbabel or conda install openbabel). Python bindings optional (pip install openbabel-wheel).
It sits in Research & Science, covering Drug discovery and cheminformatics. The repository describes itself as: AI-driven workbench for computational materials science — interactive 3D structure viewer, natural-language CatBot assistant, visual DAG workflow engine, HPC job submission… The licence is AGPL-3.0.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit fd6291b. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and python).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires Open Babel installed (apt install openbabel or conda install openbabel). Python bindings optional (pip install openbabel-wheel).
From compatibility in the SKILL.md frontmatter.
Openbabel loads about 1k tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 304 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.
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.
The full file from Hello-QM/catgo-LRG at commit fd6291b, republished under its AGPL-3.0 licence (© Hello-QM). 304 words, ~1,002 tokens.
.claude/skills/openbabel/SKILL.md (or your agent's skills folder).obabel -V)openbabel or openbabel-wheel packagecatgo_workflow_engine(action="add_task", params={
"workflow_id": "wf_xxx",
"task_type": "shell",
"name": "convert_format",
"command": "obabel input.mol2 -O output.pdb",
"system_name": "format_convert"
})obabel -:"CCO" -O ethanol.xyz --gen3d
# Generates 3D coordinates using force field optimizationobabel input.pdb -O output.pdb -h
# -h adds hydrogens at pH 7.4obabel input.pdb -O output.pdb -dobabel *.mol2 -O output_.pdb -m
# -m produces one output file per input moleculeobabel input.sdf -O conformers.sdf --conformer --nconf 50 --writeconformersobabel input.mol2 -O output.smi -ocanobabel input.xyz -O minimized.xyz --minimize --ff MMFF94 --steps 2500| Format | Extension | Notes |
|---|---|---|
| SMILES | .smi | 1D string representation |
| SDF/MOL | .sdf, .mol | 2D/3D with bond orders |
| PDB | .pdb | Protein Data Bank format |
| MOL2 | .mol2 | Tripos format with charges |
| XYZ | .xyz | Simple Cartesian coordinates |
| CIF | .cif | Crystallographic Information File |
| CML | .cml | Chemical Markup Language |
| InChI | - | IUPAC identifier (use -oinchi) |
| POSCAR | .vasp | VASP structure (limited support) |
| GJF/COM | .gjf, .com | Gaussian input |
from openbabel import openbabel as ob
conv = ob.OBConversion()
conv.SetInFormat("smi")
conv.SetOutFormat("mol2")
mol = ob.OBMol()
conv.ReadString(mol, "c1ccccc1") # benzene
# Generate 3D
builder = ob.OBBuilder()
builder.Build(mol)
# Force field optimization
ff = ob.OBForceField.FindForceField("MMFF94")
ff.Setup(mol)
ff.ConjugateGradients(500)
ff.GetCoordinates(mol)
conv.WriteFile(mol, "benzene.mol2")| Flag | Purpose |
|---|---|
--gen3d | Generate 3D coordinates from 2D/SMILES |
-h | Add hydrogens |
-d | Delete hydrogens |
--minimize | Energy minimization with force field |
--ff MMFF94 | Force field: MMFF94, UFF, Ghemical |
-m | Multiple output files (one per molecule) |
--conformer | Conformer search |
-ocan | Output canonical SMILES |
--gen3d to create 3D structures.-b flag).-h adds H at pH 7.4. Specify pH with -p <pH> if needed.--gen3d gives one conformation. For proper conformer sampling, use RDKit (molecular/rdkit/SKILL.md).© Hello-QM, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/openbabel of Hello-QM/catgo-LRG.
Open the folder on GitHubat commit fd6291b
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 Hello-QM/catgo-LRG, which our catalogue first saw on October 7, 2026.
Openbabel 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 |
|---|---|---|---|---|---|---|
| Openbabel this skillHello-QM/catgo-LRG | 205 | 1 repos | ~1k | Automated safety check: Pass | AGPL-3.0 | |
| MolecodeAtomFlow-AI/MoleCode | 305 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Drug DiscoveryTommy-yw/RunbookHermes | 546 | 1 repos | ~2.3k | Automated safety check: Pass | MIT | |
| DiffDock Molecular DockingK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3k | Automated safety check: Notes | MIT | |
| Biomedical Analysis Dispatchxjtulyc/MedgeClaw | 617 | 1 repos | ~2k | Automated safety check: Pass | None | |
| Edu Chem Reactionwy51ai/edulab | 1.4k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 |
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…
Tommy-yw/RunbookHermes
Pharmaceutical research assistant for drug discovery workflows.
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.
xjtulyc/MedgeClaw
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.
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。
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…
Hello-QM/catgo-LRG
Drive a file-first, agent-in-the-loop computational campaign via a folder + markdown tree (no DB).
Hello-QM/catgo-LRG
Run LAMMPS molecular dynamics with DeePMD-kit machine learning potentials.
Hello-QM/catgo-LRG
Compute adsorption/reaction Gibbs free energies, free-energy diagrams, and electrochemical overpotentials (HER/ORR/OER/CO2RR/NRR) with VASP.
Hello-QM/catgo-LRG
Generate and manage ABINIT DFT calculations. An agent skill from Hello-QM/catgo-LRG.
Hello-QM/catgo-LRG
A skill your agent uses when the user asks to place an adsorbate molecule on a surface, find adsorption sites, or set up a surface+adsorbate model for DFT.
Hello-QM/catgo-LRG
A skill your agent uses when the user asks for adsorption energy, binding energy, or wants to compare how strongly a molecule binds to a surface.
Categories
Convert molecular file formats using Open Babel. An agent skill from Hello-QM/catgo-LRG. Openbabel is an agent skill from Hello-QM/catgo-LRG. Convert molecular file formats using Open Babel.
Openbabel fits situations like: tasks that involve Drug discovery and cheminformatics.
Run `npx skills add Hello-QM/catgo-LRG --skill openbabel -a claude-code`. Or copy the skill folder (.claude/skills/openbabel in Hello-QM/catgo-LRG) into .claude/skills/openbabel in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Hello-QM/catgo-LRG --skill openbabel -a codex`. Or copy the skill folder (.claude/skills/openbabel in Hello-QM/catgo-LRG) into .agents/skills/openbabel in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Hello-QM/catgo-LRG --skill openbabel -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/openbabel, .gemini/skills/openbabel, .github/skills/openbabel and .opencode/skills/openbabel in your project.
SKILL.md names no scripts, command-line tools or credentials: Openbabel is instructions for the agent only. Our summary lists: Python 3. Compatibility (from SKILL.md): Requires Open Babel installed (apt install openbabel or conda install openbabel). Python bindings optional (pip install openbabel-wheel). .
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.
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.
Openbabel is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1k tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Openbabel: 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.
Hello-QM (a GitHub user) maintains it in Hello-QM/catgo-LRG, which has 205 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on September 22, 2026.
Source: Hello-QM/catgo-LRG on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.