openfoam-cfd-copilot

openfoam-cfd-copilot is a skill for Claude Code, Codex from kimlnw/openfoam-mcp. It costs 135 tokens per session (2,034 once invoked), scanned A, original, MIT.

A guide for setting up and troubleshooting OpenFOAM computational fluid dynamics simulations. Computational fluid dynamics uses computers to model how fluids such as air or water move.

In plain words
What is it for?
Use it to choose a solver and turbulence model, size near-wall meshes, create case files, run simulations, and diagnose residuals or setup errors.
Why use it?
It handles detailed setup decisions and error-prone calculations so a user can focus on the physical problem being modelled.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to choose a solver and turbulence model, size near-wall meshes, create case files, run simulations, and diagnose residuals or setup errors.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kimlnw/openfoam-mcp/openfoam-cfd-copilot
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 kimlnw/openfoam-mcp --skill openfoam-cfd-copilot
Clone the repo
git clone --depth 1 https://github.com/kimlnw/openfoam-mcp

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 openfoam-cfd-copilot

README.md
[![agentmods](https://agentmods.dev/badge/skills/kimlnw/openfoam-mcp/openfoam-cfd-copilot/github.svg)](https://agentmods.dev/skills/kimlnw/openfoam-mcp/openfoam-cfd-copilot)
Your own site
<a href="https://agentmods.dev/skills/kimlnw/openfoam-mcp/openfoam-cfd-copilot"><img src="https://agentmods.dev/badge/skills/kimlnw/openfoam-mcp/openfoam-cfd-copilot/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 openfoam-cfd-copilot

Your own site · 80×15
<a href="https://agentmods.dev/skills/kimlnw/openfoam-mcp/openfoam-cfd-copilot"><img src="https://agentmods.dev/badge/skills/kimlnw/openfoam-mcp/openfoam-cfd-copilot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 135 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,034 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 $0.00135 $0.02034
Opus 5.5 $0.00054 $0.00814
Sonnet 5.5 $0.00027 $0.00407
Haiku 4.5 $0.00014 $0.00203

Measured 2mo ago against content hash 0ec8b33e50a1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

openfoam-cfd-copilot 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 2mo 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/openfoam-cfd-copilot/SKILL.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OpenFOAM CFD Co-Pilot (by iLab)

This skill turns a plain-language CFD goal into a correct OpenFOAM case and helps diagnose it — doing the tedious, error-prone bookkeeping (y+, patch matching, turbulence fields, residual reading) so the user focuses on the physics.

If the openfoam-mcp MCP server is connected, prefer its tools (they read and write real case files). If it is not, apply the reference formulas and templates in this document by hand.

Workflow

Follow these steps in order. Ask the user only for what you still need (characteristic velocity, characteristic length, fluid, steady vs transient, heat transfer yes/no, and which OpenFOAM version they run).

  1. Classify the problem and pick the setup.

    • Internal (pipe/duct/channel), external (plate/airfoil/bluff body), backward-facing step, or lid-driven cavity.
    • Compute the Reynolds number and decide laminar vs turbulent.
    • Choose the solver and turbulence model (rules below).
    • MCP: recommend_setup(goal, velocity, length, fluid, transient, heat_transfer).
  2. Size the near-wall mesh.

    • Pick a wall-treatment strategy: wall-resolved (y+ ≈ 1) or wall functions (y+ 30–300). Avoid the buffer layer (5 < y+ < 30).
    • Compute the first-cell height for the target y+.
    • MCP: first_cell_height(y_plus, velocity, length) / y_plus_from_height(...).
  3. Generate the mesh.

    • Build a graded blockMeshDict from a geometry preset; grade the wall-normal direction to hit the first-cell height from step 2.
    • MCP: generate_blockmesh(output_path, preset, first_cell_height=…).
    • For an imported geometry, check the STL is watertight before snappyHexMesh. MCP: analyze_stl(path).
  4. Scaffold the case and set inlet turbulence.

    • Write system/, constant/, 0/.
    • Compute inlet k, ε, ω, νt from turbulence intensity (~5% internal) and a length scale (~0.07 × hydraulic diameter).
    • MCP: scaffold_case(case_dir, solver, velocity, openfoam_flavor) + inlet_turbulence(velocity, intensity, length_scale).

Read the full file on GitHub · 146 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. 2mo ago First seen · 146 lines · 135 tokens per session scan A 0ec8b33e50a1

Subscribe to this mod's changes

openfoam-cfd-copilot is a skill published in the GitHub repository kimlnw/openfoam-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 135 tokens to every session and 2,034 once invoked, about $0.0005 per session on Opus 5.5. 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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