chem-thermochemistry

chem-thermochemistry is a skill for Claude Code, Codex from learningmatter-mit/AtomisticSkills. It costs 55 tokens per session (1,665 once invoked), scanned A, original, MIT.

A chemistry workflow for calculating gas-phase enthalpy, entropy, Gibbs free energy, and reaction changes using machine-learning interatomic potentials and standard molecular-motion approximations.

In plain words
What is it for?
Use it to estimate H, S, G, and reaction ΔH, ΔS, or ΔG for gas-phase molecules and balanced reactions.
Why use it?
It turns molecular energy and vibration calculations into temperature- and pressure-dependent thermodynamic results.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Not installable on its own: it reads a path above its own folder, which only exists inside its repository. The line is This skill extends [chem-vibration](../chem-vibration/SKILL.md). It reuses the same MLIP-powered Hessian calculation and adds thermodynamic post-processing via .

Install

Getting it into your agent

There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.

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 chem-thermochemistry

README.md
[![agentmods](https://agentmods.dev/badge/skills/learningmatter-mit/atomisticskills/chem-thermochemistry.svg)](https://agentmods.dev/skills/learningmatter-mit/atomisticskills/chem-thermochemistry)
Your own site
<a href="https://agentmods.dev/skills/learningmatter-mit/atomisticskills/chem-thermochemistry"><img src="https://agentmods.dev/badge/skills/learningmatter-mit/atomisticskills/chem-thermochemistry.svg" alt="Measured on agentmods" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,665 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 $0.00055 $0.01665
Opus 5 $0.00028 $0.00833
Sonnet 5 $0.00011 $0.00333
Haiku 4.5 $0.00006 $0.00167

Measured 6d ago against content hash 6b4fa13991be, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

chem-thermochemistry 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 6d 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/chem-thermochemistry/SKILL.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gas-Phase Thermochemistry Skill

Goal

Compute temperature-dependent thermodynamic quantities — enthalpy ($H$), entropy ($S$), and Gibbs free energy ($G$) — for gas-phase molecules, and reaction thermochemistry ($\Delta H$, $\Delta S$, $\Delta G$) for balanced chemical reactions, using Machine Learning Interatomic Potentials (MLIPs) with ASE's ideal-gas / rigid-rotor / harmonic-oscillator (IGRRHO) framework.

[!IMPORTANT] This skill extends chem-vibration. It reuses the same MLIP-powered Hessian calculation and adds thermodynamic post-processing via ase.thermochemistry.IdealGasThermo.

Background

The IGRRHO partition function decomposes into independent translational, rotational, vibrational, and electronic contributions:

$$q = q_\text{trans} \cdot q_\text{rot} \cdot q_\text{vib} \cdot q_\text{elec}$$

From the partition function, thermodynamic quantities at temperature $T$ and pressure $P$ are:

  • Enthalpy: $H(T) = E_\text{pot} + E_\text{ZPE} + \sum_i \frac{h\nu_i}{e^{h\nu_i/k_BT}-1} + k_BT$ (+ rotational and translational terms)
  • Entropy: $S(T,P) = S_\text{trans} + S_\text{rot} + S_\text{vib} + S_\text{elec}$
  • Gibbs free energy: $G(T,P) = H(T) - TS(T,P)$

For a balanced reaction, $\Delta X = \sum_\text{products} n_i X_i - \sum_\text{reactants} n_j X_j$ where $X = H, S, G$.

1. Prerequisites

  • An MLIP wrapper must be available (MACEWrapper, MatGLWrapper, or FAIRCHEMWrapper).
  • ASE must be installed (provides ase.thermochemistry.IdealGasThermo).
  • Structures must be molecules or gas-phase species (non-periodic).

2. Choosing a Foundation Potential

Refer to the foundation-potentials skill for model selection.

[!IMPORTANT] For molecular thermochemistry, use models with good force accuracy (e.g., MACE-OMAT-0-small, MACE-MH-1 with omol head). Accurate forces are critical for reliable vibrational frequencies and thus thermodynamic quantities.

Read the full file on GitHub · 138 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. 6d ago First seen · 138 lines · 55 tokens per session scan A 6b4fa13991be

Subscribe to this mod's changes

chem-thermochemistry is a skill published in the GitHub repository learningmatter-mit/AtomisticSkills (161 stars, last pushed 3d ago), licensed MIT. It adds 55 tokens to every session and 1,665 once invoked, about $0.0003 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 2026-08-30.

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