gromacs-md

gromacs-md is a skill for Codex from Ling-MD/md-agent-skills. It costs 86 tokens per session (1,476 once invoked), scanned A, original, MIT.

A workflow for classical molecular dynamics, which simulates how atoms in proteins, molecules, or membranes move over time using GROMACS. GROMACS is software for setting up and analyzing these simulations.

In plain words
What is it for?
Use it to prepare protein or protein-ligand systems, add solvent and ions, run energy minimization and temperature or pressure equilibration, analyze trajectories, and perform approximate binding-energy calculations.
Why use it?
It helps organize simulation setup and checks that can otherwise lead to invalid results, such as incorrect molecule parameters, missing ions, or unsuitable run settings.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to prepare protein or protein-ligand systems, add solvent and ions, run energy minimization and temperature or pressure equilibration, analyze trajectories, and perform approximate binding-energy calculations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ling-md/md-agent-skills/gromacs-md
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.

Any agent
npx skills add Ling-MD/md-agent-skills --skill gromacs-md
Clone the repo
git clone --depth 1 https://github.com/Ling-MD/md-agent-skills

Made for: 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 gromacs-md

README.md
[![agentmods](https://agentmods.dev/badge/skills/ling-md/md-agent-skills/gromacs-md/github.svg)](https://agentmods.dev/skills/ling-md/md-agent-skills/gromacs-md)
Your own site
<a href="https://agentmods.dev/skills/ling-md/md-agent-skills/gromacs-md"><img src="https://agentmods.dev/badge/skills/ling-md/md-agent-skills/gromacs-md/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for gromacs-md

Your own site · 80×15
<a href="https://agentmods.dev/skills/ling-md/md-agent-skills/gromacs-md"><img src="https://agentmods.dev/badge/skills/ling-md/md-agent-skills/gromacs-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,476 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00086 $0.01476
Opus 5 $0.00043 $0.00738
Sonnet 5 $0.00017 $0.00295
Haiku 4.5 $0.00009 $0.00148

Measured 11d ago against content hash cd6d91f423bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

gromacs-md 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 11d 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.

gromacs-md/SKILL.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GROMACS Molecular Dynamics

Use GROMACS for classical biomolecular MD workflows: protein or protein-ligand systems, membrane proteins, conformational dynamics, trajectory analysis, and approximate binding free energy post-processing.

This skill is intentionally lightweight. Use it to enforce the scientific workflow and risk checks; use local gmx, official GROMACS documentation, and optional scholaraio toolref for exact command syntax and version-specific .mdp details.

Local Environment

Prefer gmx on PATH. If GROMACS is installed elsewhere, set:

$env:GMX_EXE = "C:\path\to\gromacs\bin\gmx.exe"

Optional: set PYMOL_EXE for PyMOL rendering helpers in the companion skills.

The local scholaraio toolref GROMACS index contains the official current mdp-options source as version manual-current-mdp with 323 records. Full scholaraio toolref fetch gromacs may still require GitHub access; if it fails, the installed MDP index is enough for high-risk .mdp parameter lookup.

Verify before running real work:

gmx --version

For ligand and free-energy workflows, check optional tools before promising execution:

Get-Command acpype,antechamber,gmx_MMPBSA -ErrorAction SilentlyContinue

Protocol

Classify the user's request first:

  1. gmx subcommand or command-line troubleshooting
  2. .mdp parameter design or review
  3. topology, force field, ligand, membrane, or box-building workflow
  4. production execution and performance
  5. trajectory analysis, visualization, or MM/PBSA-style post-processing

Before writing .mdp files, verify high-risk parameters: thermostat, barostat, constraints, cutoffs, PME, neighbor search, output frequency, coupling groups, timestep, and production ensemble.

If scholaraio is installed, use toolref-first:

scholaraio toolref search gromacs "temperature coupling"
scholaraio toolref show gromacs mdp integrator
scholaraio toolref show gromacs mdp pcoupl
scholaraio toolref show gromacs mdp tau-t
scholaraio toolref show gromacs mdp ref-t

Read the full file on GitHub · 113 lines

Files

What ships with it

2 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. 11d ago First seen · 113 lines · 86 tokens per session scan A cd6d91f423bc

Subscribe to this mod's changes

gromacs-md is a skill published in the GitHub repository Ling-MD/md-agent-skills (4 stars, last pushed 3mo ago), licensed MIT. It adds 86 tokens to every session and 1,476 once invoked, about $0.0004 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 2026-08-31.

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