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Fluent Cfd Skill

mcp-cavoiie-fluent-cfd-skill · by cavoiie

A Codex skill for Ansys Fluent and PyFluent CFD workflows.

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Install

$ agentstack add mcp-cavoiie-fluent-cfd-skill

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Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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Reliability & compatibility

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Declared compatibility

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Compatibility is declared by the source manifest. End-to-end runtime verification is coming — see below.

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About

Fluent CFD Skill

English | [简体中文](README.zh-CN.md)

A Codex skill for Ansys Fluent, PyFluent, and CFD simulation workflows.

This repository packages a research-oriented workflow skill for working with Fluent cases, solver setup, convergence diagnosis, and PyFluent MCP automation. It is designed as a judgment layer for agents: it does not replace the Fluent manuals, and it does not bundle a Fluent runtime.

Highlights

  • Fluent workflow discipline from problem framing to validation.
  • PyFluent MCP tool-use guidance for safe, auditable Fluent automation.
  • Convergence checks that combine residuals, monitors, conservation, and physical plausibility.
  • Practical references for solver choice, boundary conditions, turbulence, numerics, validation, and error recovery.
  • Conservative defaults for research use: no arbitrary Python execution unless explicitly enabled in the local MCP server.

Repository Layout

.
+-- SKILL.md
+-- agents/
|   +-- openai.yaml
+-- references/
    +-- workflow.md
    +-- solver-selection.md
    +-- boundary-conditions.md
    +-- turbulence-and-wall-treatment.md
    +-- numerics-and-convergence.md
    +-- pyfluent-mcp.md
    +-- validation-checklist.md
    +-- error-recovery.md

SKILL.md is intentionally compact. It routes the agent through the core CFD workflow and points to focused references only when needed.

Use Cases

  • Plan a Fluent case setup before touching the solver.
  • Review boundary conditions, mesh quality, and physical assumptions.
  • Choose solver settings, turbulence models, wall treatment, and convergence criteria.
  • Diagnose residual stalls, reversed flow, divergence, and launch/license failures.
  • Guide PyFluent MCP workflows such as launch, read case, run TUI commands, iterate, save, and close.

Prompt Templates

Use the standard templates in [PROMPTS.md](PROMPTS.md) for full CFD reviews, short daily checks, PyFluent MCP runs, and convergence diagnosis.

Installation

Copy this folder to your Codex skills directory:

Copy-Item -Recurse . "$env:USERPROFILE\.codex\skills\fluent-cfd"

After installation, Codex can trigger the skill when a task mentions Fluent, PyFluent, Fluent TUI, CFD simulation setup, mesh quality, boundary conditions, turbulence models, residual convergence, UDFs, or post-processing.

Versioning

Versions are managed with GitHub Releases and semantic version tags. Use the latest release for a stable skill snapshot, and use main for active edits.

Safety Notes

  • Residual decrease alone is not convergence.
  • Mesh quality, units, boundary consistency, and wall-resolution checks should not be skipped.
  • Turbulence model changes should have a physical reason or validation goal.
  • The optional execute_python MCP tool should stay disabled unless the local workflow is trusted.
  • This repository contains only the skill. A separate local PyFluent MCP server is required for live Fluent control.

Related Execution Layer

The skill is designed to pair with a local pyfluent MCP server that exposes tools such as server_info, launch_fluent, read_case, run_tui, iterate, write_case_data, session_status, and exit_fluent.

That execution layer is intentionally separate from this repository so this skill remains lightweight, portable, and safe to publish.

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Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.