mat-elemental-energies

mat-elemental-energies is a skill for Claude Code, Codex from learningmatter-mit/AtomisticSkills. It costs 30 tokens per session (655 once invoked), scanned A, original, MIT.

A reference library of stable elemental crystal structures and their calculated energies. These energies serve as consistent references when calculating the formation energy of compounds.

In plain words
What is it for?
Use it to retrieve reference energies for selected chemical elements and support formation-energy or stability calculations with machine-learning atomic models.
Why use it?
Repeatedly recalculating elemental reference states can produce inconsistent results and waste time. A shared library keeps thermodynamic comparisons based on the same model and reference structures.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/learningmatter-mit/atomisticskills/mat-elemental-energies
Any agent
npx skills add learningmatter-mit/AtomisticSkills --skill mat-elemental-energies
Clone the repo
git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for mat-elemental-energies

README.md
[![agentmods](https://agentmods.dev/badge/skills/learningmatter-mit/atomisticskills/mat-elemental-energies.svg)](https://agentmods.dev/skills/learningmatter-mit/atomisticskills/mat-elemental-energies)
Your own site
<a href="https://agentmods.dev/skills/learningmatter-mit/atomisticskills/mat-elemental-energies"><img src="https://agentmods.dev/badge/skills/learningmatter-mit/atomisticskills/mat-elemental-energies.svg" alt="Measured on agentmods" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 655 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00030 $0.00655
Opus 5 $0.00015 $0.00328
Sonnet 5 $0.00006 $0.00131
Haiku 4.5 $0.00003 $0.00065

Measured 2d ago against content hash 87e586aa9b13, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

mat-elemental-energies scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/mat-elemental-energies/SKILL.md · 46 lines

How it starts

The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Elemental Energies

Goal

To provide a centralized library of the most stable phases (ground states) for each element and their corresponding reference energies calculated using different Machine Learning Interatomic Potentials (MLIPs). This avoids redundant relaxations and ensure consistency in thermodynamics calculations (e.g., formation energy, stability).

Instructions

1. Retrieve Elemental Energies

To get the energies for a list of elements from a specific checkpoint:

# Env: base-agent
python .agents/skills/mat-elemental-energies/scripts/get_elemental_energies.py --elements Li Fe O --checkpoint mace-mp-medium

Library Status

As of 2026-01-30, the library is fully expanded and contains 89 elements (Ground states from H to Lr) across 36 MLIP variants, including:

  • MACE: MACE-MP (S/M/L), MACE-MH-0/1 (all heads), MACE-OMAT (S/M), MACE-MATPES (PBE/R2SCAN).
  • MatGL: CHGNet (MPtrj, MatPES), M3GNet (MP, MatPES), TensorNet (MatPES).
  • FairChem: UMA (S/M) with all heads (omat, omol, oc20).

Constraints

  • Materials Project: Structures must be queried from Materials Project to ensure they represent the true ground-state phases.
  • Naming: Library files must follow the <checkpoint_name>_energies.json format.
  • Units: Energies are stored as eV/atom (total potential energy of the relaxed structure divided by the number of atoms).
  • Relaxation: The stored value comes from relaxing both cell and coordinates (relax_cell=True). A positions-only relaxation leaves the reference above the potential's own minimum and biases every formation energy that uses it.
  • Molecular-crystal elements are sensitive: for O, N, F, Cl, H the MP ground state is a van der Waals-bound molecular crystal whose MLIP-relaxed cell differs a lot from the DFT cell, so the cell relaxation matters more here than for metals. With TensorNet-PES-MatPES-PBE-2025.2, mp-12957 (O2) gives -5.118 eV/atom fully relaxed versus -4.968 positions-only. More than one MP entry can also tie at energy_above_hull = 0 for these elements (O2: mp-12957 and mp-1524462), so pin the material_id rather than relying on a formula lookup returning a stable order.

Read the full file on GitHub · 46 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 46 lines · 30 tokens per session scan A 87e586aa9b13

Subscribe to this mod's changes

mat-elemental-energies is a skill published in the GitHub repository learningmatter-mit/AtomisticSkills (160 stars, last pushed 2d ago), licensed MIT. It adds 30 tokens to every session and 655 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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