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 skills add wentorai/research-plugins --skill molecular-dynamics-guidegit clone --depth 1 https://github.com/wentorai/research-pluginsWrote 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/wentorai/research-plugins/molecular-dynamics-guide)<a href="https://agentmods.dev/skills/wentorai/research-plugins/molecular-dynamics-guide"><img src="https://agentmods.dev/badge/skills/wentorai/research-plugins/molecular-dynamics-guide/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.
<a href="https://agentmods.dev/skills/wentorai/research-plugins/molecular-dynamics-guide"><img src="https://agentmods.dev/badge/skills/wentorai/research-plugins/molecular-dynamics-guide.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00017 | $0.02138 |
| Opus 5 | $0.00009 | $0.01069 |
| Sonnet 5 | $0.00003 | $0.00428 |
| Haiku 4.5 | $0.00002 | $0.00214 |
Grade A, and why
molecular-dynamics-guide 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.
How it starts
The opening of the file, as written. The whole thing — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Molecular Dynamics Guide
A skill for setting up, running, and analyzing molecular dynamics (MD) simulations. Covers force field selection, system preparation, simulation protocols, trajectory analysis, and free energy calculations using GROMACS, OpenMM, and MDAnalysis.
System Preparation
Building a Simulation System
The standard workflow for preparing an MD simulation:
1. Obtain structure (PDB, homology model, or docking pose)
2. Clean structure (add missing atoms, fix protonation states)
3. Assign force field parameters
4. Solvate in explicit water box
5. Add counterions to neutralize charge
6. Energy minimize
7. Equilibrate (NVT then NPT)
8. Production run
GROMACS System Setup
# 1. Generate topology from PDB
gmx pdb2gmx -f protein.pdb -o processed.gro -water tip3p -ff amber99sb-ildn
# 2. Define simulation box (dodecahedron, 1.0 nm buffer)
gmx editconf -f processed.gro -o boxed.gro -c -d 1.0 -bt dodecahedron
# 3. Solvate
gmx solvate -cp boxed.gro -cs spc216.gro -o solvated.gro -p topol.top
# 4. Add ions to neutralize and set ionic strength (0.15 M NaCl)
gmx grompp -f ions.mdp -c solvated.gro -p topol.top -o ions.tpr
gmx genion -s ions.tpr -o ionized.gro -p topol.top -pname NA -nname CL -neutral -conc 0.15
# 5. Energy minimization
gmx grompp -f minim.mdp -c ionized.gro -p topol.top -o em.tpr
gmx mdrun -deffnm em
# 6. NVT equilibration (100 ps, 300 K)
gmx grompp -f nvt.mdp -c em.gro -r em.gro -p topol.top -o nvt.tpr
gmx mdrun -deffnm nvt
# 7. NPT equilibration (100 ps, 300 K, 1 bar)
gmx grompp -f npt.mdp -c nvt.gro -r nvt.gro -t nvt.cpt -p topol.top -o npt.tpr
gmx mdrun -deffnm npt
# 8. Production MD (100 ns)
gmx grompp -f md.mdp -c npt.gro -t npt.cpt -p topol.top -o md.tpr
gmx mdrun -deffnm md
Force Field Selection
Common Force Fields
| Force Field | Strengths | Typical Use |
|---|---|---|
| AMBER ff14SB | Protein structure, dynamics | Protein simulations |
| AMBER ff19SB | Improved backbone dihedrals | Latest protein simulations |
| CHARMM36m | Proteins, lipids, carbohydrates | Membrane systems |
| OPLS-AA/M | Small molecules, organic liquids | Drug-like molecules |
| GAFF2 | General small molecules | Ligand parameterization |
| CGenFF | CHARMM-compatible small molecules | Ligands in CHARMM systems |
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.
- 6d ago First seen · 238 lines · 17 tokens per session scan A b3b51c012b6a
molecular-dynamics-guide is a skill published in the GitHub repository wentorai/research-plugins (291 stars, last pushed 2mo ago), licensed MIT. It adds 17 tokens to every session and 2,138 once invoked, about $0.0001 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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