Agent skill

Lammps Evidence Md

by Cai-aa in Cai-aa/CAE-Agent-Hub

Evidence-first LAMMPS molecular-dynamics workflow for input decks, potentials, minimization, equilibration, deformation, thermo logs, trajectories, restart/data files, stress-strain extraction, and…

MITAuto-check passedResearch & Science

Install Lammps Evidence Md

skills CLI
$ npx skills add Cai-aa/CAE-Agent-Hub --skill lammps-evidence-md -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Cai-aa/CAE-Agent-Hub lammps-evidence-md --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Cai-aa/CAE-Agent-Hub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Skill/lammps/lammps-evidence-md .claude/skills/lammps-evidence-md && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
lammps-evidence-md
GitHub stars
1k
Token cost
~476 tokens
SKILL.md length
138 words
Files
3 (incl. references)
Skills in repo
57
Repo updated
First seen
Licence
MIT

At a glance

Evidence-first LAMMPS molecular-dynamics workflow for input decks, potentials, minimization, equilibration, deformation, thermo logs, trajectories, restart/data files, stress-strain extraction, and…

  • Codex must prepare
  • SKILL.md covers Start, Build and Run and Finish
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Report a LAMMPS materials simulation

What it does

Lammps Evidence Md is an agent skill from Cai-aa/CAE-Agent-Hub. Evidence-first LAMMPS molecular-dynamics workflow for input decks, potentials, minimization, equilibration, deformation, thermo logs, trajectories, restart/data files, stress-strain extraction, and reproducibility checks. Use when Codex must prepare, run, diagnose, or report a LAMMPS materials simulation or hand its trajectory to OVITO without overstating nanoscale demo results as calibrated macroscopic properties.

Its SKILL.md is about 480 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/validation.md`).

It sits in Research & Science, covering Physical and earth sciences and Reproducible research. The licence is MIT.

When your agent uses it

  • Codex must prepare
  • Report a LAMMPS materials simulation
  • Hand its trajectory to OVITO without overstating nanoscale demo results as calibrated macroscopic properties

Example prompts

  • “/lammps-evidence-md”

What it can do on your machine

Read from SKILL.md and the folder at commit 194ef49. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are powershell).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Lammps Evidence Md loads about 476 tokens when it runs, and up to ~699 if it reads all its reference files. Until then it costs about 109 tokens; SKILL.md has 138 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~109
When it runs · the whole SKILL.md, loaded when a task matches
~476
With references · SKILL.md plus every file in references/, read only if the agent opens them
~699

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Cai-aa/CAE-Agent-Hub at commit 194ef49, republished under its MIT licence (© Cai-aa). 138 words, ~476 tokens.

Download SKILL.mdSave it as .claude/skills/lammps-evidence-md/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
lammps-evidence-md
description
Evidence-first LAMMPS molecular-dynamics workflow for input decks, potentials, minimization, equilibration, deformation, thermo logs, trajectories, restart/data files, stress-strain extraction, and reproducibility checks. Use when Codex must prepare, run, diagnose, or report a LAMMPS materials simulation or hand its trajectory to OVITO without overstating nanoscale demo results as calibrated macroscopic properties.

LAMMPS Evidence MD

Keep the input deck, potential provenance, random seeds, executable build, log, trajectory, and postprocessing chain traceable.

Start

powershell
ai-cae-toolbox context-scope --solver lammps
ai-cae-toolbox bridge-plan --solver lammps --objective "<objective>"
ai-cae-toolbox create-run --solver lammps --case <case-name> --objective "<objective>"
ai-cae-toolbox write-smoke-template --solver lammps --run-dir <run-dir>

Use lammps_check_installation and lammps_run_input_file when MCP is available.

Build and Run

  • Declare units, boundary conditions, atom style, dimensions, masses, and atom types.
  • Record potential filename, source, license, supported species, and parameterization scope.
  • Separate minimization, equilibration, loading, and production phases.
  • Record timestep, thermostat/barostat damping, deformation rate, dump interval, thermo fields, random seeds, and restart strategy.
  • Run a tiny parser/smoke case before a long trajectory.

Read references/validation.md before interpreting stress, fracture, diffusion, or phase behavior.

Finish

Require a normal LAMMPS termination signal, complete log, expected step count, thermo data, and trajectory or final data output. Export derived curves through a versioned script. Hand trajectories to the OVITO skill for visualization, but keep LAMMPS solve evidence and OVITO render evidence separate.

© Cai-aa, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in Skill/lammps/lammps-evidence-md of Cai-aa/CAE-Agent-Hub.

  • SKILL.md
  • agents/openai.yaml
  • references/validation.md

Open the folder on GitHubat commit 194ef49

Compare with similar skills

Lammps Evidence Md next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Lammps Evidence Md compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Lammps Evidence Md this skillCai-aa/CAE-Agent-Hub1k—~476Automated safety check: PassMIT
Weather Data Reproducibilitysickn33/agentic-awesome-skills47k1 repos~2.9kAutomated safety check: PassMIT
Mechanical Engineering Researchhashgraph-online/awesome-codex-plugins1.3k—~2.9kAutomated safety check: PassApache-2.0
Ngeo Methodsbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.5kAutomated safety check: PassMIT
Peer ReviewK-Dense-AI/claude-scientific-writer2.4k2 repos~3.1kAutomated safety check: NotesMIT
AstropyzLanqing/codex-claude-academic-skills4.7k13 repos~2.9kAutomated safety check: PassBSD-3-Clause

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Questions about Lammps Evidence Md

What does Lammps Evidence Md do?

Evidence-first LAMMPS molecular-dynamics workflow for input decks, potentials, minimization, equilibration, deformation, thermo logs, trajectories, restart/data files, stress-strain extraction, and…. Lammps Evidence Md is an agent skill from Cai-aa/CAE-Agent-Hub. Evidence-first LAMMPS molecular-dynamics workflow for input decks, potentials, minimization, equilibration, deformation, thermo logs, trajectories, restart/data files, stress-strain extraction, and reproducibility checks.

When should I use Lammps Evidence Md?

Lammps Evidence Md fits situations like: Codex must prepare; report a LAMMPS materials simulation; hand its trajectory to OVITO without overstating nanoscale demo results as calibrated macroscopic properties.

How do I install Lammps Evidence Md in Claude Code?

Run `npx skills add Cai-aa/CAE-Agent-Hub --skill lammps-evidence-md -a claude-code`. Or copy the skill folder (Skill/lammps/lammps-evidence-md in Cai-aa/CAE-Agent-Hub) into .claude/skills/lammps-evidence-md in your project. Claude Code loads it when a task matches its description.

How do I install Lammps Evidence Md in Codex?

Run `npx skills add Cai-aa/CAE-Agent-Hub --skill lammps-evidence-md -a codex`. Or copy the skill folder (Skill/lammps/lammps-evidence-md in Cai-aa/CAE-Agent-Hub) into .agents/skills/lammps-evidence-md in your project. Codex loads it when a task matches its description.

Can I use Lammps Evidence Md in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Cai-aa/CAE-Agent-Hub --skill lammps-evidence-md -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lammps-evidence-md, .gemini/skills/lammps-evidence-md, .github/skills/lammps-evidence-md and .opencode/skills/lammps-evidence-md in your project.

What does Lammps Evidence Md need to run?

SKILL.md names no scripts, command-line tools or credentials: Lammps Evidence Md is instructions for the agent only.

Does Lammps Evidence Md access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Lammps Evidence Md safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Lammps Evidence Md use?

Lammps Evidence Md is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Lammps Evidence Md use?

About 476 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 223 tokens, read only when the agent opens those files.

What are the alternatives to Lammps Evidence Md?

Skills that share tags, products or a category with Lammps Evidence Md: Weather Data Reproducibility (sickn33/agentic-awesome-skills, 47k stars), Mechanical Engineering Research (hashgraph-online/awesome-codex-plugins, 1.3k stars), Ngeo Methods (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars) and Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lammps Evidence Md?

Cai-aa (a GitHub user) maintains it in Cai-aa/CAE-Agent-Hub, which has 1,015 GitHub stars. The repository holds 57 skills in this directory. The repository was last updated on September 30, 2026.

Source: Cai-aa/CAE-Agent-Hub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.