Ito Compute
affaan-m/ECC
Query live GPU inventory, submit an authenticated Itô fixed-rate RFQ, inspect RFQ or procurement status, revoke device credentials, and run explicitly gated node qualification through the separately…
Run phonon calculations using Phonopy. An agent skill from Hello-QM/catgo-LRG.
$ npx skills add Hello-QM/catgo-LRG --skill phonopy -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Hello-QM/catgo-LRG phonopy --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/phonopy .claude/skills/phonopy && 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 "phonopy" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/phonopy into .claude/skills/phonopy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phonopy", 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/phonopyType 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 phonopy -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Hello-QM/catgo-LRG phonopy --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/phonopy .agents/skills/phonopy && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "phonopy" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/phonopy into .agents/skills/phonopy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phonopy", 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 phonopy -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Hello-QM/catgo-LRG phonopy --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/phonopy .cursor/skills/phonopy && 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 "phonopy" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/phonopy into .cursor/skills/phonopy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phonopy", 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/phonopy--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 phonopy -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Hello-QM/catgo-LRG phonopy --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/phonopy .gemini/skills/phonopy && 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 "phonopy" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/phonopy into .gemini/skills/phonopy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phonopy", 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 phonopyInstalls 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 phonopy -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/phonopy .github/skills/phonopy && 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 "phonopy" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/phonopy into .github/skills/phonopy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phonopy", 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 phonopy -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 phonopy --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/phonopy .opencode/skills/phonopy && 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 "phonopy" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/phonopy into .opencode/skills/phonopy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phonopy", 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.
phonopyRun phonon calculations using Phonopy. An agent skill from Hello-QM/catgo-LRG.
Phonopy is an agent skill from Hello-QM/catgo-LRG. Run phonon calculations using Phonopy. Computes phonon band structures, density of states, thermal properties, and checks dynamical stability. Works with VASP, QE, ABINIT, and other DFT codes as the force calculator.
Its SKILL.md is about 1.4k 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 phonopy Python package (pip install phonopy). Requires a DFT code (VASP, QE, etc.) for force calculations on displaced structures.
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.
4 steps, taken from the step headings 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 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 phonopy Python package (pip install phonopy). Requires a DFT code (VASP, QE, etc.) for force calculations on displaced structures.
From compatibility in the SKILL.md frontmatter.
Phonopy loads about 1.4k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 408 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). 408 words, ~1,393 tokens.
.claude/skills/phonopy/SKILL.md (or your agent's skills folder).phonopy --version)Phonopy uses the finite-displacement method:
catgo_workflow_engine(action="add_task", params={
"workflow_id": "wf_xxx",
"task_type": "shell",
"name": "phonopy_displace",
"command": "phonopy -d --dim 2 2 2 -c POSCAR",
"input_files": {
"POSCAR": "<relaxed structure>"
},
"system_name": "phonon_setup"
})This generates POSCAR-001, POSCAR-002, ..., phonopy_disp.yaml.
For each displaced POSCAR, run a VASP single-point calculation:
catgo_workflow_engine(action="add_task", params={
"workflow_id": "wf_xxx",
"task_type": "shell",
"name": "phonon_forces_001",
"command": "cd disp-001 && vasp_std > vasp.out 2>&1",
"depends_on": ["phonopy_displace"],
"system_name": "phonon_disp_001"
})VASP INCAR for force calculations:
PREC = Accurate
ENCUT = 520
EDIFF = 1e-8 # Must be tight for phonons
IBRION = -1
NSW = 0
ISMEAR = 0
SIGMA = 0.05
LREAL = .FALSE. # Must be FALSE for phonons
LWAVE = .FALSE.
LCHARG = .FALSE.catgo_workflow_engine(action="add_task", params={
"workflow_id": "wf_xxx",
"task_type": "shell",
"name": "phonopy_forces",
"command": "phonopy -f disp-001/vasprun.xml disp-002/vasprun.xml ...",
"depends_on": ["phonon_forces_001", "phonon_forces_002"],
"system_name": "phonon_fc"
})catgo_workflow_engine(action="add_task", params={
"workflow_id": "wf_xxx",
"task_type": "shell",
"name": "phonopy_band",
"command": "phonopy -p band.conf",
"input_files": {
"band.conf": "DIM = 2 2 2\nBAND = AUTO\nBAND_POINTS = 101\nBAND_LABELS = AUTO"
},
"depends_on": ["phonopy_forces"],
"system_name": "phonon_band"
})DIM = 2 2 2
BAND = AUTO
BAND_POINTS = 101DIM = 2 2 2
MP = 20 20 20
TPROP = .TRUE.
TMIN = 0
TMAX = 1000
TSTEP = 10DIM = 2 2 2
MP = 20 20 20
PDOS = 1 2, 3 4 5 6Atom indices are 1-based. Groups separated by commas.
import phonopy
from phonopy import Phonopy
ph = phonopy.load("phonopy_disp.yaml")
# Forces already set via phonopy -f
# Band structure
ph.auto_band_structure(plot=True)
ph.save("phonopy_results.yaml")
# Thermal properties
ph.run_mesh([20, 20, 20])
ph.run_thermal_properties(t_min=0, t_max=1000, t_step=10)
tp = ph.get_thermal_properties_dict()
# tp['temperatures'], tp['free_energy'], tp['entropy'], tp['heat_capacity']| Parameter | Typical value | Notes |
|---|---|---|
| DIM | 2 2 2 or 3 3 3 | Supercell size; larger = more accurate but more DFT calcs |
| MP | 20 20 20 | q-point mesh for DOS; denser = smoother DOS |
| BAND | AUTO | Auto high-symmetry path; or specify manually |
| displacement | 0.01 Ang | Default; increase for very stiff materials |
| TPROP | .TRUE. | Enable thermal property calculation |
LREAL = .FALSE. for phonon force calculations. Real-space projection introduces noise.© 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/phonopy of Hello-QM/catgo-LRG.
Open the folder on GitHubat commit fd6291b
Phonopy 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 |
|---|---|---|---|---|---|---|
| Phonopy this skillHello-QM/catgo-LRG | 205 | — | ~1.4k | Automated safety check: Pass | AGPL-3.0 | |
| Ito Computeaffaan-m/ECC | 275k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Structured Datathedaviddias/Front-End-Checklist | 74k | — | ~420 | Automated safety check: Pass | MIT | |
| Bio Structural Biology Modern Structure PredictionFreedomIntelligence/OpenClaw-Medical-Skills | 3.1k | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| Senior Computer Visiondavila7/claude-code-templates | 32k | 3 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Senior Computer Visionalirezarezvani/claude-skills | 28k | 2 repos | ~3.2k | Automated safety check: Pass | MIT |
affaan-m/ECC
Query live GPU inventory, submit an authenticated Itô fixed-rate RFQ, inspect RFQ or procurement status, revoke device credentials, and run explicitly gated node qualification through the separately…
thedaviddias/Front-End-Checklist
A skill your agent uses when auditing metadata, crawlability, structured data, or indexability related to Add structured data markup.
FreedomIntelligence/OpenClaw-Medical-Skills
Predict protein structures using modern ML models including AlphaFold3, ESMFold, Chai-1, and Boltz-1.
davila7/claude-code-templates
World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems.
alirezarezvani/claude-skills
Computer vision engineering skill for object detection, image segmentation, and visual AI systems.
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing rendered HTML, interactive components, or design-system patterns related to Use correct list structure.
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.
Run phonon calculations using Phonopy. An agent skill from Hello-QM/catgo-LRG. Phonopy is an agent skill from Hello-QM/catgo-LRG. Run phonon calculations using Phonopy.
Run `npx skills add Hello-QM/catgo-LRG --skill phonopy -a claude-code`. Or copy the skill folder (.claude/skills/phonopy in Hello-QM/catgo-LRG) into .claude/skills/phonopy in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Hello-QM/catgo-LRG --skill phonopy -a codex`. Or copy the skill folder (.claude/skills/phonopy in Hello-QM/catgo-LRG) into .agents/skills/phonopy 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 phonopy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/phonopy, .gemini/skills/phonopy, .github/skills/phonopy and .opencode/skills/phonopy in your project.
SKILL.md names no scripts, command-line tools or credentials: Phonopy is instructions for the agent only. Our summary lists: Python 3. Compatibility (from SKILL.md): Requires phonopy Python package (pip install phonopy). Requires a DFT code (VASP, QE, etc.) for force calculations on displaced structures. .
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.
Phonopy 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 1.4k tokens (SKILL.md is roughly 5.6k 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 Phonopy: Ito Compute (affaan-m/ECC, 275k stars), Structured Data (thedaviddias/Front-End-Checklist, 74k stars), Bio Structural Biology Modern Structure Prediction (FreedomIntelligence/OpenClaw-Medical-Skills, 3.1k stars) and Senior Computer Vision (davila7/claude-code-templates, 32k 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.