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…
A skill your agent uses when the user asks to analyze computational results: Gibbs free energy, OER/HER/CO2RR overpotentials, adsorption energy, convergence tests, DOS/d-band analysis, or Bader…
$ npx skills add Hello-QM/catgo-LRG --skill analysis-router -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Hello-QM/catgo-LRG analysis-router --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/server/catgo/workflow/skills/analysis .claude/skills/analysis-router && 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 "analysis-router" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/server/catgo/workflow/skills/analysis into .claude/skills/analysis-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analysis-router", 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/server/catgo/workflow/skills/analysisType 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 analysis-router -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Hello-QM/catgo-LRG analysis-router --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/server/catgo/workflow/skills/analysis .agents/skills/analysis-router && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "analysis-router" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/server/catgo/workflow/skills/analysis into .agents/skills/analysis-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analysis-router", 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 analysis-router -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Hello-QM/catgo-LRG analysis-router --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/server/catgo/workflow/skills/analysis .cursor/skills/analysis-router && 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 "analysis-router" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/server/catgo/workflow/skills/analysis into .cursor/skills/analysis-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analysis-router", 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 server/catgo/workflow/skills/analysis--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 analysis-router -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Hello-QM/catgo-LRG analysis-router --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/server/catgo/workflow/skills/analysis .gemini/skills/analysis-router && 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 "analysis-router" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/server/catgo/workflow/skills/analysis into .gemini/skills/analysis-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analysis-router", 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 analysis-routerInstalls 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 analysis-router -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/server/catgo/workflow/skills/analysis .github/skills/analysis-router && 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 "analysis-router" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/server/catgo/workflow/skills/analysis into .github/skills/analysis-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analysis-router", 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 analysis-router -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 analysis-router --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/server/catgo/workflow/skills/analysis .opencode/skills/analysis-router && 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 "analysis-router" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/server/catgo/workflow/skills/analysis into .opencode/skills/analysis-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analysis-router", 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.
analysis-routerA skill your agent uses when the user asks to analyze computational results: Gibbs free energy, OER/HER/CO2RR overpotentials, adsorption energy, convergence tests, DOS/d-band analysis, or Bader…
Analysis Router is an agent skill from Hello-QM/catgo-LRG. Use when the user asks to analyze computational results: Gibbs free energy, OER/HER/CO2RR overpotentials, adsorption energy, convergence tests, DOS/d-band analysis, or Bader charge analysis.
Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
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 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 json 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.
Analysis Router loads about 869 tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 248 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). 248 words, ~869 tokens.
.claude/skills/analysis-router/SKILL.md (or your agent's skills folder).This skill routes analysis requests to the correct sub-skill based on what the user is asking for.
| User Intent | Sub-Skill | Key Indicators |
|---|---|---|
| Gibbs free energy, ZPE, thermal corrections | gibbs/ | "free energy", "ZPE", "entropy", "thermal" |
| OER overpotential | oer/ | "OER", "oxygen evolution", "water splitting anode" |
| HER overpotential | her/ | "HER", "hydrogen evolution", "water splitting cathode" |
| CO2 reduction | co2rr/ | "CO2RR", "CO2 reduction", "carbon dioxide" |
| Adsorption energy | adsorption/ | "adsorption energy", "binding energy", "E_ads" |
| ENCUT/KPOINTS convergence | convergence/ | "convergence", "ENCUT test", "k-point test" |
| DOS, d-band center, PDOS | dos_analysis/ | "DOS", "d-band", "PDOS", "density of states" |
| Bader charge | charge/ | "Bader", "charge transfer", "charge analysis" |
| MACE Ni benchmark (Kreitz 2021) | mace_ni_benchmark/ | "Kreitz", "MACE Ni benchmark", "MLP vs DFT-D3 on Ni" |
All analysis actions use the catgo_analyze tool with an action parameter.
{"tool": "catgo_analyze", "arguments": {"action": "convergence", ...}}
{"tool": "catgo_analyze", "arguments": {"action": "frequencies", ...}}
{"tool": "catgo_analyze", "arguments": {"action": "forces", ...}}Most analysis workflows are built as DAGs using the workflow tool.
{"tool": "catgo_workflow_engine", "arguments": {"action": "create", "name": "Analysis WF"}}
{"tool": "catgo_workflow_engine", "arguments": {"action": "add_task", "workflow_id": "...", "task_type": "gibbs_energy", ...}}All analysis workflows follow the same skeleton:
from catgo.workflow import Workflow
wf = Workflow("Analysis name")
# 1. Input structure
inp = wf.add_task("structure_input", structure=structure_json)
# 2. Compute (geo_opt, single_point, freq, etc.)
opt = wf.add_task("geo_opt", structure=inp.output.structure, software="vasp")
frq = wf.add_task("freq", structure=opt.output.structure, software="vasp",
freeze_mode="layers", freeze_layers=4)
# 3. Analyze (gibbs_energy, dos_analysis, charge_analysis, etc.)
gib = wf.add_task("gibbs_energy", energy=opt.output.energy,
frequencies=frq.output.frequencies, phase="adsorbed")
wf.submit()her/, adsorption/oer/, co2rr/convergence/dos_analysis/, charge/gibbs/geo_opt before freq -- frequencies on unrelaxed structures are meaningless.freeze_mode="layers" in freq to avoid
imaginary frequencies from slab bottom atoms.energy (from geo_opt) and frequencies (from freq) --
these come from separate tasks connected via output references.single_point (not geo_opt) to isolate the parameter effect.© 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 server/catgo/workflow/skills/analysis of Hello-QM/catgo-LRG.
Open the folder on GitHubat commit fd6291b
Analysis Router 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 |
|---|---|---|---|---|---|---|
| Analysis Router this skillHello-QM/catgo-LRG | 205 | — | ~869 | Automated safety check: Pass | AGPL-3.0 | |
| Ito Computeaffaan-m/ECC | 275k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Router Onweave-os/router | 5.6k | — | ~169 | Automated safety check: Pass | Apache-2.0 | |
| Router Offweave-os/router | 5.6k | — | ~183 | Automated safety check: Pass | Apache-2.0 | |
| 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…
weave-os/router
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weave-os/router
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davila7/claude-code-templates
World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems.
alirezarezvani/claude-skills
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openclaw/openclaw
Route plain-language requests for Claude Code, Cursor, Copilot, OpenClaw ACP, OpenCode, Gemini CLI, Qwen, Kiro, Kimi, iFlow, Factory Droid, Kilocode, or explicit ACP harness work into either…
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.
A skill your agent uses when the user asks to analyze computational results: Gibbs free energy, OER/HER/CO2RR overpotentials, adsorption energy, convergence tests, DOS/d-band analysis, or Bader…. Analysis Router is an agent skill from Hello-QM/catgo-LRG. Use when the user asks to analyze computational results: Gibbs free energy, OER/HER/CO2RR overpotentials, adsorption energy, convergence tests, DOS/d-band analysis, or Bader charge analysis.
Analysis Router fits situations like: the user asks to analyze computational results: Gibbs free energy; OER/HER/CO2RR overpotentials; adsorption energy; convergence tests.
Run `npx skills add Hello-QM/catgo-LRG --skill analysis-router -a claude-code`. Or copy the skill folder (server/catgo/workflow/skills/analysis in Hello-QM/catgo-LRG) into .claude/skills/analysis-router in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Hello-QM/catgo-LRG --skill analysis-router -a codex`. Or copy the skill folder (server/catgo/workflow/skills/analysis in Hello-QM/catgo-LRG) into .agents/skills/analysis-router 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 analysis-router -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analysis-router, .gemini/skills/analysis-router, .github/skills/analysis-router and .opencode/skills/analysis-router in your project.
SKILL.md names no scripts, command-line tools or credentials: Analysis Router is instructions for the agent only. Our summary lists: Python 3.
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.
Analysis Router 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 869 tokens (SKILL.md is roughly 3.5k 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 Analysis Router: Ito Compute (affaan-m/ECC, 275k stars), Router On (weave-os/router, 5.6k stars), Router Off (weave-os/router, 5.6k 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.