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Agent skill

Electrochemical Adsorption Model Construction

by Tai609 in Tai609/NebulaMat

Build provenance-controlled facet-specific electrochemical adsorption model cohorts from MatterGen candidates after MatterSim relaxation, including slab terminations, adsorption sites and…

Custom licenceAuto-check passed

Install Electrochemical Adsorption Model Construction

skills CLI
$ npx skills add Tai609/NebulaMat --skill electrochemical-adsorption-model-construction -a claude-code

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

GitHub CLI
$ gh skill install Tai609/NebulaMat electrochemical-adsorption-model-construction --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/Tai609/NebulaMat.git skills-src && mkdir -p .claude/skills && cp -r skills-src/runtime/skills-bundle/electrochemical-adsorption-model-construction .claude/skills/electrochemical-adsorption-model-construction && 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/

Facts

Skill name
electrochemical-adsorption-model-construction
GitHub stars
100
Token cost
~2.7k tokens
SKILL.md length
1,295 words
Files
3 (incl. references)
Skills in repo
15
Repo updated
First seen
Licence
Custom licence

At a glance

Build provenance-controlled facet-specific electrochemical adsorption model cohorts from MatterGen candidates after MatterSim relaxation, including slab terminations, adsorption sites and…

  • Works in 10 steps: Fix the electrochemical scope. Record… → Gate the parent structure. Require a… → Preserve the relaxed parent. Use the… → …
  • A user asks to place adsorbates
  • SKILL.md covers Workflow, Parameter Rules, Tool Contract and Failure Handling
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Electrochemical Adsorption Model Construction is an agent skill from Tai609/NebulaMat. Build provenance-controlled facet-specific electrochemical adsorption model cohorts from MatterGen candidates after MatterSim relaxation, including slab terminations, adsorption sites and orientations, acid or alkaline HER/OER intermediates, complete pathway manifests, and UMA-ready adsorption triplets. Use whenever a user asks to place adsorbates, construct HER/OER models, enumerate catalyst facets or sites, distinguish acidic from alkaline electrolysis, or model the water-to-hydrogen/oxygen pathway.

Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/pathway-catalog.md`).

The repository describes itself as: NebulaMat scientific materials research workbench.

When your agent uses it

  • A user asks to place adsorbates
  • Construct HER/OER models
  • Enumerate catalyst facets
  • Distinguish acidic from alkaline electrolysis

Example prompts

  • “/electrochemical-adsorption-model-construction”

Workflow steps

10 steps, taken from the first numbered list in SKILL.md.

  1. Fix the electrochemical scope. Record the target reaction (HER or OER), environment (acidic or alkaline), pH or electrolyte, temperature…
  2. Gate the parent structure. Require a completed MatterGen run, a manifest-backed bulk standardization near the requested 60-atom target…
  3. Preserve the relaxed parent. Use the MatterSim-relaxed artifact as the parent for every facet. Create a derived lineage record linking the…
  4. Enumerate comparable facets. Select symmetry-distinct low-index Miller indices and all relevant terminations rather than a single…
  5. Validate clean slabs. Use standardize_mattergen_structure or the project surface-builder with surface_miller_index, surface_layers=6…
  6. Enumerate sites and placements. For each termination, identify symmetry-unique top, bridge, hollow, subsurface, and chemically distinct…
  7. Build one triplet per state. For every candidate state, retain the clean slab, an isolated adsorbate reference with explicit…
  8. Cover the complete reaction path. Load the pathway catalog and create every mandatory intermediate for the selected environment and…
  9. Screen consistently. Use run_uma_adsorption_energy_screen for the same-model initial screen with one uma-s-1p2p1 checkpoint, one task…
  10. Assemble and audit the model set. Write a model manifest, facet/termination manifest, site manifest, intermediate manifest, adsorption-set…

What it can do on your machine

Read from SKILL.md and the folder at commit c906ed5. 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

Electrochemical Adsorption Model Construction loads about 2.7k tokens when it runs, and up to ~4.2k if it reads all its reference files. Until then it costs about 138 tokens; SKILL.md has 1,295 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~138
When it runs · the whole SKILL.md, loaded when a task matches
~2.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.2k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,295 words (~2,728 tokens).

“Construct an auditable family of surface and adsorbate structures. This skill creates model inputs and reaction-pathway bookkeeping; it does not prove catalytic activity, free energy, kinetics, surface stability, or experimental performance. Load references/pathway-catalog.md for the required HER/OER states and stoichiometry.”

— opening of SKILL.md by Tai609, Custom licence
name
electrochemical-adsorption-model-construction

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (references) in runtime/skills-bundle/electrochemical-adsorption-model-construction of Tai609/NebulaMat.

  • SKILL.md
  • agents/openai.yaml
  • references/pathway-catalog.md

Open the folder on GitHubat commit c906ed5

Compare with similar skills

Electrochemical Adsorption Model Construction 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.

Electrochemical Adsorption Model Construction compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Electrochemical Adsorption Model Construction this skillTai609/NebulaMat100—~2.7kAutomated safety check: PassCustom licence
Control UIopenclaw/openclaw392k—~1.8kAutomated safety check: PassMIT
Control UI E2Eopenclaw/openclaw392k—~2.9kAutomated safety check: PassMIT
Nexrad Mosaic Constructionsickn33/agentic-awesome-skills47k1 repos~3.1kAutomated safety check: PassMIT
Provenanceanbeime/skill7.8k—~301Automated safety check: PassNone
Control D AutomationComposioHQ/awesome-claude-skills77k3 repos~738Automated safety check: PassNone

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Questions about Electrochemical Adsorption Model Construction

What does Electrochemical Adsorption Model Construction do?

Build provenance-controlled facet-specific electrochemical adsorption model cohorts from MatterGen candidates after MatterSim relaxation, including slab terminations, adsorption sites and…. Electrochemical Adsorption Model Construction is an agent skill from Tai609/NebulaMat. Build provenance-controlled facet-specific electrochemical adsorption model cohorts from MatterGen candidates after MatterSim relaxation, including slab terminations, adsorption sites and orientations, acid or alkaline HER/OER intermediates, complete pathway manifests, and UMA-ready adsorption triplets.

When should I use Electrochemical Adsorption Model Construction?

Electrochemical Adsorption Model Construction fits situations like: A user asks to place adsorbates; construct HER/OER models; enumerate catalyst facets; distinguish acidic from alkaline electrolysis.

How do I install Electrochemical Adsorption Model Construction in Claude Code?

Run `npx skills add Tai609/NebulaMat --skill electrochemical-adsorption-model-construction -a claude-code`. Or copy the skill folder (runtime/skills-bundle/electrochemical-adsorption-model-construction in Tai609/NebulaMat) into .claude/skills/electrochemical-adsorption-model-construction in your project. Claude Code loads it when a task matches its description.

How do I install Electrochemical Adsorption Model Construction in Codex?

Run `npx skills add Tai609/NebulaMat --skill electrochemical-adsorption-model-construction -a codex`. Or copy the skill folder (runtime/skills-bundle/electrochemical-adsorption-model-construction in Tai609/NebulaMat) into .agents/skills/electrochemical-adsorption-model-construction in your project. Codex loads it when a task matches its description.

Can I use Electrochemical Adsorption Model Construction 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 Tai609/NebulaMat --skill electrochemical-adsorption-model-construction -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/electrochemical-adsorption-model-construction, .gemini/skills/electrochemical-adsorption-model-construction, .github/skills/electrochemical-adsorption-model-construction and .opencode/skills/electrochemical-adsorption-model-construction in your project.

What does Electrochemical Adsorption Model Construction need to run?

SKILL.md names no scripts, command-line tools or credentials: Electrochemical Adsorption Model Construction is instructions for the agent only.

Does Electrochemical Adsorption Model Construction 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 Electrochemical Adsorption Model Construction 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 Electrochemical Adsorption Model Construction use?

Electrochemical Adsorption Model Construction has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Electrochemical Adsorption Model Construction use?

About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.5k tokens, read only when the agent opens those files.

What are the alternatives to Electrochemical Adsorption Model Construction?

Skills that share tags, products or a category with Electrochemical Adsorption Model Construction: Control UI (openclaw/openclaw, 392k stars), Control UI E2E (openclaw/openclaw, 392k stars), Nexrad Mosaic Construction (sickn33/agentic-awesome-skills, 47k stars) and Provenance (anbeime/skill, 7.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Electrochemical Adsorption Model Construction?

Tai609 (a GitHub user) maintains it in Tai609/NebulaMat, which has 100 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on September 6, 2026.

Source: Tai609/NebulaMat on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.