Agent skill

Volcano Plot

A skill your agent uses when the user asks about volcano plots, catalyst screening, activity descriptors, Sabatier principle, or comparing catalyst performance across a descriptor space.

AGPL-3.0Auto-check passed

Install Volcano Plot

skills CLI

$ npx skills add Hello-QM/catgo-LRG --skill volcano-plot -a claude-code

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

GitHub CLI

$ gh skill install Hello-QM/catgo-LRG volcano-plot --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/Hello-QM/catgo-LRG.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/volcano-plot .claude/skills/volcano-plot && 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/

Paste into Claude Code

Install the "volcano-plot" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/volcano-plot into .claude/skills/volcano-plot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "volcano-plot", 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

$skill-installer install https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/volcano-plot

Type 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.

skills CLI

$ npx skills add Hello-QM/catgo-LRG --skill volcano-plot -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install Hello-QM/catgo-LRG volcano-plot --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/volcano-plot .agents/skills/volcano-plot && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "volcano-plot" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/volcano-plot into .agents/skills/volcano-plot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "volcano-plot", 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.

skills CLI

$ npx skills add Hello-QM/catgo-LRG --skill volcano-plot -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install Hello-QM/catgo-LRG volcano-plot --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/volcano-plot .cursor/skills/volcano-plot && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "volcano-plot" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/volcano-plot into .cursor/skills/volcano-plot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "volcano-plot", 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

$ gemini skills install https://github.com/Hello-QM/catgo-LRG.git --path .claude/skills/volcano-plot

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add Hello-QM/catgo-LRG --skill volcano-plot -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install Hello-QM/catgo-LRG volcano-plot --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/volcano-plot .gemini/skills/volcano-plot && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "volcano-plot" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/volcano-plot into .gemini/skills/volcano-plot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "volcano-plot", 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.

GitHub CLI

$ gh skill install Hello-QM/catgo-LRG volcano-plot

Installs 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).

skills CLI

$ npx skills add Hello-QM/catgo-LRG --skill volcano-plot -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/volcano-plot .github/skills/volcano-plot && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "volcano-plot" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/volcano-plot into .github/skills/volcano-plot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "volcano-plot", 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.

skills CLI

$ npx skills add Hello-QM/catgo-LRG --skill volcano-plot -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install Hello-QM/catgo-LRG volcano-plot --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/volcano-plot .opencode/skills/volcano-plot && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "volcano-plot" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/volcano-plot into .opencode/skills/volcano-plot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "volcano-plot", 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: volcano-plot
GitHub stars: 205
Token cost: ~1.4k tokens
SKILL.md length: 409 words
Files: 1
Skills in repo: 75
Repo updated: Sep 22, 2026
First seen: Oct 7, 2026
Licence: AGPL-3.0

At a glance

A skill your agent uses when the user asks about volcano plots, catalyst screening, activity descriptors, Sabatier principle, or comparing catalyst performance across a descriptor space.

Works in 3 steps: Compute overpotentials for each candidate → Collect results → Generate volcano plot
The user asks about volcano plots
SKILL.md covers Overview, MCP Tool: catgo_catalysis…, Parameters and Return Format, plus 2 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Volcano Plot is an agent skill from Hello-QM/catgo-LRG. Use when the user asks about volcano plots, catalyst screening, activity descriptors, Sabatier principle, or comparing catalyst performance across a descriptor space.

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.

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.

When your agent uses it

The user asks about volcano plots
Catalyst screening
Activity descriptors
Sabatier principle

Example prompts

“/volcano-plot”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

Compute overpotentials for each candidate
Collect results
Generate volcano plot

What it can do on your machine

Read from SKILL.md and the folder at commit fd6291b. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
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

Volcano Plot loads about 1.4k tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 409 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~45
When it runs · the whole SKILL.md, loaded when a task matches: ~1.4k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from Hello-QM/catgo-LRG at commit fd6291b, republished under its AGPL-3.0 licence (© Hello-QM). 409 words, ~1,364 tokens.

Download SKILL.mdSave it as .claude/skills/volcano-plot/SKILL.md (or your agent's skills folder).

name: volcano-plot
description: Use when the user asks about volcano plots, catalyst screening, activity descriptors, Sabatier principle, or comparing catalyst performance across a descriptor space.
tags: analysis, catalysis, volcano, screening, descriptor

Volcano Plot Generation

Overview

Volcano plots visualize the Sabatier principle: plotting catalytic activity (negative overpotential) against a binding energy descriptor to identify optimal catalysts at the peak of the volcano. This is the standard tool for computational catalyst screening.

Key applications:

OER/HER/ORR catalyst screening: Compare overpotentials across catalyst compositions
Scaling relation validation: Overlay theoretical volcano lines from Norskov scaling
Descriptor identification: Find which adsorption energy best predicts activity
High-throughput screening: Visualize hundreds of candidates in one plot

MCP Tool: catgo_catalysis action="volcano"

Generate Volcano Plot Data

Provide a list of catalyst results with descriptor values and overpotentials:

json

{"tool": "catgo_catalysis", "arguments": {
  "action": "volcano",
  "params": {
    "catalyst_results": [
      {"name": "RuO2(110)", "dG_OH": 1.45, "overpotential": 0.37},
      {"name": "IrO2(110)", "dG_OH": 1.52, "overpotential": 0.42},
      {"name": "MnO2(110)", "dG_OH": 0.95, "overpotential": 0.68},
      {"name": "TiO2(110)", "dG_OH": 2.10, "overpotential": 1.15},
      {"name": "Fe-NiOOH", "dG_OH": 1.30, "overpotential": 0.32}
    ],
    "reaction": "OER",
    "descriptor_x": "dG_OH"
  }
}}

Custom Descriptor Axes

Use any computed property as the x-axis descriptor:

json

{"tool": "catgo_catalysis", "arguments": {
  "action": "volcano",
  "params": {
    "catalyst_results": [
      {"name": "Pt(111)", "d_band_center": -2.25, "overpotential": 0.45},
      {"name": "Pd(111)", "d_band_center": -1.83, "overpotential": 0.52},
      {"name": "Ni(111)", "d_band_center": -1.29, "overpotential": 0.75}
    ],
    "reaction": "HER",
    "descriptor_x": "d_band_center"
  }
}}

Two-Descriptor Plot

Specify both x and y descriptors explicitly (instead of using overpotential for y):

json

{"tool": "catgo_catalysis", "arguments": {
  "action": "volcano",
  "params": {
    "catalyst_results": [
      {"name": "RuO2", "dG_OH": 1.45, "dG_O": 2.90},
      {"name": "IrO2", "dG_OH": 1.52, "dG_O": 3.10}
    ],
    "reaction": "OER",
    "descriptor_x": "dG_OH",
    "descriptor_y": "dG_O"
  }
}}

Parameters

Parameter	Type	Default	Description
catalyst_results	list[dict]	--	List of catalyst dicts with name, descriptor values, overpotential
reaction	string	"OER"	Reaction type: `OER`, `HER`, `CO2RR`, `NRR`
descriptor_x	string	"dG_OH"	Key for x-axis descriptor in result dicts
descriptor_y	string	null	Key for y-axis. If null, uses -overpotential

Catalyst Result Dict Fields

Each dict in catalyst_results should contain:

Field	Required	Description
name	yes	Catalyst identifier (plot label)
(descriptor_x key)	yes	X-axis value (e.g., dG_OH, d_band_center)
overpotential	yes*	Overpotential in V (*unless descriptor_y is set)

Return Format

json

{
  "points": [
    {"name": "RuO2(110)", "x": 1.45, "y": -0.37, "dG_OH": 1.45, "overpotential": 0.37}
  ],
  "ideal_line": {
    "x": [0.5, 0.505, ...],
    "y": [-0.23, -0.22, ...]
  },
  "descriptor_x": "dG_OH",
  "reaction": "OER"
}

The ideal_line is generated for OER using Norskov scaling relations:

Left branch: limited by OH adsorption (step 1)
Right branch: limited by OOH formation (step 4), using the scaling relation dG_OOH = 0.84 * dG_OH + 3.29

For other reactions, ideal_line is null (scaling relations not hard-coded).

Show full SKILL.md (160 more words)Show less

Complete Workflow: OER Catalyst Screening

1. Compute overpotentials for each candidate

For each catalyst surface, run the full OER workflow (see OER skill) to obtain dG_OH, dG_O, dG_OOH, and the overpotential.

2. Collect results

Gather the results from all candidates into a list:

json

{"tool": "catgo_catalysis", "arguments": {
  "action": "oer",
  "params": {"dG_OH": 1.45, "dG_O": 2.90, "dG_OOH": 3.74}
}}

Repeat for each catalyst.

3. Generate volcano plot

json

{"tool": "catgo_catalysis", "arguments": {
  "action": "volcano",
  "params": {
    "catalyst_results": [
      {"name": "RuO2", "dG_OH": 1.45, "overpotential": 0.37},
      {"name": "IrO2", "dG_OH": 1.52, "overpotential": 0.42}
    ],
    "reaction": "OER",
    "descriptor_x": "dG_OH"
  }
}}

Common Pitfalls

All descriptor values must use consistent DFT settings (same functional, ENCUT, k-points). Mixing PBE and RPBE results on one volcano plot produces misleading comparisons.
The OER ideal volcano line assumes the universal OOH-OH scaling relation (dG_OOH = 0.84 * dG_OH + 3.29). This may not hold for non-oxide catalysts.
The y-axis convention is -overpotential (higher = better catalyst). A catalyst at the peak of the volcano has the lowest overpotential.
Catalyst results missing the descriptor_x key are silently skipped. Check that all result dicts have the expected keys.
For HER, the typical descriptor is dG_H (hydrogen binding energy). For CO2RR, dG_CO or dG_COOH is commonly used.

Files

Just SKILL.md in .claude/skills/volcano-plot of Hello-QM/catgo-LRG.

Open the folder on GitHubat commit fd6291b

Compare with similar skills

Volcano Plot 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.

Volcano Plot compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Volcano Plot this skillHello-QM/catgo-LRG	205	—	~1.4k	Automated safety check: Pass	AGPL-3.0	16 days ago
Volcano Plot Scriptaipoch/medical-research-skills	2k	—	~2.5k	Automated safety check: Pass	MIT	21 days ago
Volcano Plot Labeleraipoch/medical-research-skills	2k	—	~2.8k	Automated safety check: Pass	MIT	21 days ago
Plotlydavila7/claude-code-templates	32k	14 repos	~1.8k	Automated safety check: Pass	MIT	today
Bio Data Visualization Volcano And Ma PlotsGPTomics/bioSkills	1.2k	2 repos	~5.3k	Automated safety check: Pass	MIT	1 mo ago
Plotlybrycewang-stanford/Auto-Empirical-Research-Skills	4.5k	—	~1.9k	Automated safety check: Pass	Custom licence	3 days ago

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Questions about Volcano Plot

What does Volcano Plot do?

A skill your agent uses when the user asks about volcano plots, catalyst screening, activity descriptors, Sabatier principle, or comparing catalyst performance across a descriptor space. Volcano Plot is an agent skill from Hello-QM/catgo-LRG. Use when the user asks about volcano plots, catalyst screening, activity descriptors, Sabatier principle, or comparing catalyst performance across a descriptor space.

When should I use Volcano Plot?

Volcano Plot fits situations like: the user asks about volcano plots; catalyst screening; activity descriptors; sabatier principle.

How do I install Volcano Plot in Claude Code?

Run `npx skills add Hello-QM/catgo-LRG --skill volcano-plot -a claude-code`. Or copy the skill folder (.claude/skills/volcano-plot in Hello-QM/catgo-LRG) into .claude/skills/volcano-plot in your project. Claude Code loads it when a task matches its description.

How do I install Volcano Plot in Codex?

Run `npx skills add Hello-QM/catgo-LRG --skill volcano-plot -a codex`. Or copy the skill folder (.claude/skills/volcano-plot in Hello-QM/catgo-LRG) into .agents/skills/volcano-plot in your project. Codex loads it when a task matches its description.

Can I use Volcano Plot 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 Hello-QM/catgo-LRG --skill volcano-plot -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/volcano-plot, .gemini/skills/volcano-plot, .github/skills/volcano-plot and .opencode/skills/volcano-plot in your project.

What does Volcano Plot need to run?

SKILL.md names no scripts, command-line tools or credentials: Volcano Plot is instructions for the agent only.

Does Volcano Plot 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 Volcano Plot 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. Review the folder before installing.

What licence does Volcano Plot use?

Volcano Plot 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.

How many tokens does Volcano Plot use?

About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Volcano Plot?

Skills that share tags, products or a category with Volcano Plot: Volcano Plot Script (aipoch/medical-research-skills, 2k stars), Volcano Plot Labeler (aipoch/medical-research-skills, 2k stars), Plotly (davila7/claude-code-templates, 32k stars) and Bio Data Visualization Volcano And Ma Plots (GPTomics/bioSkills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Volcano Plot?

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.

Install Volcano Plot

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Volcano Plot Generation

Overview

MCP Tool: catgo_catalysis action="volcano"

Generate Volcano Plot Data

Custom Descriptor Axes

Two-Descriptor Plot

Parameters

Catalyst Result Dict Fields

Return Format

Complete Workflow: OER Catalyst Screening

1. Compute overpotentials for each candidate

2. Collect results

3. Generate volcano plot

Common Pitfalls

Files

Compare with similar skills

Similar skills

More from Hello-QM/catgo-LRG

Questions about Volcano Plot