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.
npx agentmods add skills/learningmatter-mit/atomisticskills/mat-elemental-energiesnpx skills add learningmatter-mit/AtomisticSkills --skill mat-elemental-energiesgit clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkillsWrote 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.
[](https://agentmods.dev/skills/learningmatter-mit/atomisticskills/mat-elemental-energies)<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>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.
| Model | Per session | Once 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 |
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.
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.jsonformat. - 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 atenergy_above_hull = 0for these elements (O2: mp-12957 and mp-1524462), so pin thematerial_idrather than relying on a formula lookup returning a stable order.
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.
- resources/CHGNet-MatPES-PBE-2025.2.10-2.7M-PES_energies.json 2.5 KB
- resources/CHGNet-MatPES-r2SCAN-2025.2.10-2.7M-PES_energies.json 2.5 KB
- resources/CHGNet-MPtrj-2023.12.1-2.7M-PES_energies.json 2.5 KB
- resources/CHGNet-MPtrj-2024.2.13-11M-PES_energies.json 2.5 KB
- resources/M3GNet-MatPES-PBE-v2025.1-PES_energies.json 2.5 KB
- resources/M3GNet-MatPES-r2SCAN-v2025.1-PES_energies.json 2.5 KB
- resources/M3GNet-MP-2021.2.8-DIRECT-PES_energies.json 2.5 KB
- resources/M3GNet-MP-2021.2.8-PES_energies.json 2.5 KB
- resources/MACE-MATPES-PBE-0_energies.json 2.5 KB
- resources/MACE-MATPES-R2SCAN-0_energies.json 2.4 KB
- resources/MACE-MH-0_matpes_r2scan_energies.json 2.5 KB
- resources/MACE-MH-0_oc20_usemppbe_energies.json 2.5 KB
- resources/MACE-MH-0_omat_pbe_energies.json 2.5 KB
- resources/MACE-MH-0_omol_energies.json 2.3 KB
- resources/MACE-MH-0_spice_wB97M_energies.json 2.5 KB
- resources/MACE-MH-1_matpes_r2scan_energies.json 2.5 KB
- resources/MACE-MH-1_oc20_usemppbe_energies.json 2.5 KB
- resources/MACE-MH-1_omat_pbe_energies.json 2.5 KB
- resources/MACE-MH-1_omol_energies.json 2.5 KB
- resources/MACE-MH-1_spice_wB97M_energies.json 2.5 KB
- resources/MACE-MP-large_energies.json 2.5 KB
- resources/MACE-MP-medium_energies.json 2.5 KB
- resources/MACE-MP-small_energies.json 2.5 KB
- resources/MACE-OMAT-0-medium_energies.json 2.5 KB
- resources/MACE-OMAT-0-small_energies.json 2.5 KB
- resources/structures/Ac.cif 857 B
- resources/structures/Ag.cif 855 B
- resources/structures/Al.cif 694 B
- resources/structures/Ar.cif 696 B
- resources/structures/As.cif 851 B
- resources/structures/Au.cif 694 B
- resources/structures/B.cif 1.2 KB
- resources/structures/Ba.cif 748 B
- resources/structures/Be.cif 850 B
- resources/structures/Bi.cif 746 B
- resources/structures/Br.cif 852 B
- resources/structures/C.cif 739 B
- resources/structures/Ca.cif 695 B
- resources/structures/Cd.cif 747 B
- resources/structures/Ce.cif 695 B
- resources/structures/Cl.cif 856 B
- resources/structures/Co.cif 696 B
- resources/structures/Cr.cif 747 B
- resources/structures/Cs.cif 1.0 KB
- resources/structures/Cu.cif 697 B
- resources/structures/Dy.cif 747 B
- resources/structures/Er.cif 799 B
- resources/structures/Eu.cif 747 B
- resources/structures/F.cif 842 B
- resources/structures/Fe.cif 747 B
- resources/structures/Ga.cif 851 B
- resources/structures/Gd.cif 747 B
- resources/structures/Ge.cif 746 B
- resources/structures/H.cif 1.0 KB
- resources/structures/He.cif 700 B
- resources/structures/Hf.cif 747 B
- resources/structures/Hg.cif 798 B
- resources/structures/Ho.cif 747 B
- resources/structures/I.cif 841 B
- resources/structures/In.cif 699 B
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.
- 2d ago First seen · 46 lines · 30 tokens per session scan A 87e586aa9b13
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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