mdanalysis

mdanalysis is a skill for Claude Code from tondevrel/scientific-agent-skills. It costs 70 tokens per session (14,968 once invoked), scanned A, original, MIT.

A Python library for reading and analyzing molecular-dynamics data, which records how atoms move over time. It works with molecular structures and simulation trajectory files.

In plain words
What is it for?
Use it to load trajectories, select atoms, calculate RMSD or RMSF, measure distances and angles, study hydrogen bonds and membranes, and convert file formats.
Why use it?
It avoids writing separate data-processing code for common chemistry and biology measurements. It can help turn simulation files into measurements about movement, distances, bonds, surfaces, and structures.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the scientific-agent-skills plugin — 55 skills, 2 commands, 1 MCP server shipped together

Good fit Use it to load trajectories, select atoms, calculate RMSD or RMSF, measure distances and angles, study hydrogen bonds and membranes, and convert file formats.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tondevrel/scientific-agent-skills/mdanalysis
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 tondevrel/scientific-agent-skills --skill mdanalysis
Clone the repo
git clone --depth 1 https://github.com/tondevrel/scientific-agent-skills

Made for: Claude Code.

Or install scientific-agent-skills, the plugin that ships this one along with the rest of its 55 skills, 2 commands, 1 MCP server.

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 mdanalysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/tondevrel/scientific-agent-skills/mdanalysis.svg)](https://agentmods.dev/skills/tondevrel/scientific-agent-skills/mdanalysis)
Your own site
<a href="https://agentmods.dev/skills/tondevrel/scientific-agent-skills/mdanalysis"><img src="https://agentmods.dev/badge/skills/tondevrel/scientific-agent-skills/mdanalysis.svg" alt="Measured on agentmods" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 14,968 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 $0.00070 $0.14968
Opus 5 $0.00035 $0.07484
Sonnet 5 $0.00014 $0.02994
Haiku 4.5 $0.00007 $0.01497

Measured 8d ago against content hash 3ab827cecd13, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

mdanalysis 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 8d 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.

skills/mdanalysis/SKILL.md · 1,922 lines

How it starts

The opening of the file, as written. The whole thing — 1,922 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MDAnalysis - Molecular Dynamics Analysis

Python library for reading, writing, and analyzing molecular dynamics trajectories and structural files.

When to Use

  • Loading MD trajectories (DCD, XTC, TRR, NetCDF, etc.)
  • RMSD and RMSF calculations
  • Distance, angle, and dihedral analysis
  • Atom selections (VMD-like syntax)
  • Hydrogen bond analysis
  • Solvent Accessible Surface Area (SASA)
  • Protein secondary structure analysis
  • Membrane system analysis
  • Water/ion distribution analysis
  • Trajectory alignment and fitting
  • Custom trajectory analysis
  • Converting between file formats

Reference Documentation

Official docs: https://www.mdanalysis.org/docs/
Search patterns: MDAnalysis.Universe, MDAnalysis.analysis.rms, MDAnalysis.analysis.distances

Core Principles

Use MDAnalysis For

Task Module Example
Load trajectory Universe Universe(topology, trajectory)
RMSD calculation analysis.rms RMSD(mobile, ref)
Atom selection select_atoms u.select_atoms('protein')
Distance analysis analysis.distances distance_array(pos1, pos2)
H-bond analysis analysis.hbonds HydrogenBondAnalysis()
SASA calculation analysis.sasa SASAnalysis()
Contacts analysis analysis.contacts Contacts()
Trajectory writing Writer with Writer() as W

Do NOT Use For

  • Running MD simulations (use GROMACS, AMBER, NAMD)
  • Force field calculations (use OpenMM, MDTraj)
  • Quantum chemistry (use PySCF, Qiskit)
  • Protein structure prediction (use AlphaFold, RosettaFold)
  • Initial structure building (use Biopython, PyMOL)

Quick Reference

Installation

# pip
pip install MDAnalysis

# With additional analysis modules
pip install MDAnalysis[analysis]

# conda
conda install -c conda-forge mdanalysis

# Development version
pip install git+https://github.com/MDAnalysis/mdanalysis.git

Standard Imports

# Core imports
import MDAnalysis as mda
from MDAnalysis import Universe
from MDAnalysis.analysis import rms, align, distances

# Common analysis modules
from MDAnalysis.analysis.rms import RMSD, RMSF
from MDAnalysis.analysis.distances import distance_array
from MDAnalysis.analysis.hydrogenbonds.hbond_analysis import HydrogenBondAnalysis
from MDAnalysis.analysis.dihedrals import Dihedral

# Utilities
import numpy as np
import matplotlib.pyplot as plt

Read the full file on GitHub · 1,922 lines

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. 8d ago First seen · 1,922 lines · 70 tokens per session scan A 3ab827cecd13

Subscribe to this mod's changes

mdanalysis is a skill published in the GitHub repository tondevrel/scientific-agent-skills (20 stars, last pushed 7mo ago), licensed MIT. It adds 70 tokens to every session and 14,968 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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