Workspace Surface Audit
affaan-m/ECC
Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows.
A skill your agent uses when the user asks about surface slabs, Miller indices, adsorbate placement, adsorption sites, water layers, passivation, heterostructures, lattice matching, moire bilayers…
AGPL-3.0Auto-check passed
Install Surface Catalysis
$ npx skills add Hello-QM/catgo-LRG --skill surface-catalysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Hello-QM/catgo-LRG surface-catalysis --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/catbot-plugin/skills/surface-catalysis .claude/skills/surface-catalysis && 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 "surface-catalysis" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/catbot-plugin/skills/surface-catalysis into .claude/skills/surface-catalysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "surface-catalysis", 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/catbot-plugin/skills/surface-catalysisType 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 surface-catalysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Hello-QM/catgo-LRG surface-catalysis --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/catbot-plugin/skills/surface-catalysis .agents/skills/surface-catalysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "surface-catalysis" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/catbot-plugin/skills/surface-catalysis into .agents/skills/surface-catalysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "surface-catalysis", 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 surface-catalysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Hello-QM/catgo-LRG surface-catalysis --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/catbot-plugin/skills/surface-catalysis .cursor/skills/surface-catalysis && 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 "surface-catalysis" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/catbot-plugin/skills/surface-catalysis into .cursor/skills/surface-catalysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "surface-catalysis", 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 catbot-plugin/skills/surface-catalysis--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 surface-catalysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Hello-QM/catgo-LRG surface-catalysis --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/catbot-plugin/skills/surface-catalysis .gemini/skills/surface-catalysis && 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 "surface-catalysis" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/catbot-plugin/skills/surface-catalysis into .gemini/skills/surface-catalysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "surface-catalysis", 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 surface-catalysisInstalls 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 surface-catalysis -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/catbot-plugin/skills/surface-catalysis .github/skills/surface-catalysis && 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 "surface-catalysis" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/catbot-plugin/skills/surface-catalysis into .github/skills/surface-catalysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "surface-catalysis", 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 surface-catalysis -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 surface-catalysis --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/catbot-plugin/skills/surface-catalysis .opencode/skills/surface-catalysis && 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 "surface-catalysis" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/catbot-plugin/skills/surface-catalysis into .opencode/skills/surface-catalysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "surface-catalysis", 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
surface-catalysis- GitHub stars
- 205
- Token cost
- ~609 tokens
- SKILL.md length
- 232 words
- Files
- 1
- Skills in repo
- 75
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
A skill your agent uses when the user asks about surface slabs, Miller indices, adsorbate placement, adsorption sites, water layers, passivation, heterostructures, lattice matching, moire bilayers…
- Works in 3 steps: Start with a bulk crystal (fetch or use… → catgo_generate_slab with miller_index as… → Inspect result with catgo_structure_info
- The user asks about surface slabs
- SKILL.md covers Surface Slab Generation, Adsorbate Placement, Surface Passivation and Water Layer, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Surface Catalysis is an agent skill from Hello-QM/catgo-LRG. Use when the user asks about surface slabs, Miller indices, adsorbate placement, adsorption sites, water layers, passivation, heterostructures, lattice matching, moire bilayers, or catalysis workflows.
Its SKILL.md is about 610 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 surface slabs
- Adsorbate placement
- Adsorption sites
- Heterostructures
Example prompts
- “/surface-catalysis”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Start with a bulk crystal (fetch or use current)
- catgo_generate_slab with miller_index as [h, k, l]
- Inspect result with catgo_structure_info
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.
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
Surface Catalysis loads about 609 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 232 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.
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). 232 words, ~609 tokens.
Download SKILL.mdSave it as
.claude/skills/surface-catalysis/SKILL.md (or your agent's skills folder).- name
- surface-catalysis
- description
- Use when the user asks about surface slabs, Miller indices, adsorbate placement, adsorption sites, water layers, passivation, heterostructures, lattice matching, moire bilayers, or catalysis workflows.
Surface & Catalysis Workflow
Surface Slab Generation
- Start with a bulk crystal (fetch or use current)
catgo_generate_slabwithmiller_indexas [h, k, l]- Defaults:
min_slab_size=10.0A,min_vacuum_size=15.0A - Returns all symmetrically distinct terminations
- Defaults:
- Inspect result with
catgo_structure_info
Miller index selection:
| Surface | Miller Index | Common Use |
|---|---|---|
| FCC (111) | [1,1,1] | Close-packed, catalysis |
| FCC (100) | [1,0,0] | Open surface |
| BCC (110) | [1,1,0] | Close-packed |
| Rutile (110) | [1,1,0] | TiO2 catalysis |
| Perovskite (001) | [0,0,1] | ABO3 surfaces |
Adsorbate Placement
catgo_adsorption_sites— Find top, bridge, hollow sites.heightdefault 2.0 A.catgo_adsorption_place— Place adsorbate at chosen site coordinates.
Get adsorbate molecules via catgo_fetch_molecule:
- CO, CO2, H2O, NH3, O2, CH4, etc.
Surface Passivation
catgo_passivate — Cap dangling bonds with pseudo-hydrogen on slab bottom surface.
Requires both slab and bulk reference structure dicts.
Water Layer
catgo_water_layer — Add TIP4P water layer for solid/liquid interface models.
Parameters: z_start, z_end, min_distance (overlap removal), equilibrate (optional LAMMPS).
Heterostructure & Interface
ZSL Lattice Matching (Two-Step)
catgo_hetero_search— Find lattice-matched substrate/film pairscatgo_hetero_build— Build interface from selected match
One-Step Interface
catgo_hetero_build_intermat — Simpler pipeline, less control but faster prototyping.
Moire Bilayer
catgo_moire_search— Find commensurate twist angles with supercell sizescatgo_moire_build— Build bilayer at selected angle
Complete Catalysis Recipe
catgo_fetch_crystal(bulk, e.g. Pt)catgo_generate_slab(miller_index=[1,1,1], min_slab_size=12, min_vacuum_size=15)catgo_passivate(bottom surface)catgo_adsorption_sites(find sites)catgo_fetch_molecule(get adsorbate)catgo_adsorption_place(place at chosen site)catgo_structure_info(verify)- Generate DFT input (see computational-input skill)
© 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
Files
Just SKILL.md in catbot-plugin/skills/surface-catalysis of Hello-QM/catgo-LRG.
Open the folder on GitHubat commit fd6291b
Compare with similar skills
Surface Catalysis 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 |
|---|---|---|---|---|---|---|
| Surface Catalysis this skillHello-QM/catgo-LRG | 205 | — | ~609 | Automated safety check: Pass | AGPL-3.0 | |
| Workspace Surface Auditaffaan-m/ECC | 275k | 3 repos | ~1.3k | Automated safety check: Notes | MIT | |
| Loading Indicatorsthedaviddias/Front-End-Checklist | 74k | — | ~434 | Automated safety check: Pass | MIT | |
| Surfacesrid/emanote | 963 | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| Workspace Surface Auditaffaan-m/ECC | 275k | — | ~761 | Automated safety check: Notes | MIT | |
| Workspace Surface Auditaffaan-m/ECC | 275k | — | ~558 | Automated safety check: Notes | MIT |
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Questions about Surface Catalysis
What does Surface Catalysis do?
A skill your agent uses when the user asks about surface slabs, Miller indices, adsorbate placement, adsorption sites, water layers, passivation, heterostructures, lattice matching, moire bilayers…. Surface Catalysis is an agent skill from Hello-QM/catgo-LRG. Use when the user asks about surface slabs, Miller indices, adsorbate placement, adsorption sites, water layers, passivation, heterostructures, lattice matching, moire bilayers, or catalysis workflows.
When should I use Surface Catalysis?
Surface Catalysis fits situations like: the user asks about surface slabs; adsorbate placement; adsorption sites; heterostructures.
How do I install Surface Catalysis in Claude Code?
Run `npx skills add Hello-QM/catgo-LRG --skill surface-catalysis -a claude-code`. Or copy the skill folder (catbot-plugin/skills/surface-catalysis in Hello-QM/catgo-LRG) into .claude/skills/surface-catalysis in your project. Claude Code loads it when a task matches its description.
How do I install Surface Catalysis in Codex?
Run `npx skills add Hello-QM/catgo-LRG --skill surface-catalysis -a codex`. Or copy the skill folder (catbot-plugin/skills/surface-catalysis in Hello-QM/catgo-LRG) into .agents/skills/surface-catalysis in your project. Codex loads it when a task matches its description.
Can I use Surface Catalysis 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 surface-catalysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/surface-catalysis, .gemini/skills/surface-catalysis, .github/skills/surface-catalysis and .opencode/skills/surface-catalysis in your project.
What does Surface Catalysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Surface Catalysis is instructions for the agent only.
Does Surface Catalysis 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 Surface Catalysis 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 Surface Catalysis use?
Surface Catalysis 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 Surface Catalysis use?
About 609 tokens (SKILL.md is roughly 2.4k 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 Surface Catalysis?
Skills that share tags, products or a category with Surface Catalysis: Workspace Surface Audit (affaan-m/ECC, 275k stars), Loading Indicators (thedaviddias/Front-End-Checklist, 74k stars), Surface (srid/emanote, 963 stars) and Workspace Surface Audit (affaan-m/ECC, 275k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Surface Catalysis?
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.