Agent Skills › Cai-aa/CAE-Agent-Hub › ansys-mechanical-evidence-structural

ansys-mechanical-evidence-structural

GitHub

Ansys Mechanical结构仿真自动化技能，支持通过Workbench、ACT或PyMechanical进行静力学、模态等分析。强调证据优先，要求审计模型设置并导出多维验证数据（如RST、日志、图像），确保求解结果可追溯与合规。

Skill/Ansys/ansys-mechanical-evidence-structural/SKILL.md Cai-aa/CAE-Agent-Hub

Trigger Scenarios

需要运行Ansys Mechanical结构分析验证CAE仿真结果的完整性与正确性自动化生成有限元分析报告

Install

npx skills add Cai-aa/CAE-Agent-Hub --skill ansys-mechanical-evidence-structural -g -y

More Options

Non-standard path

npx skills add https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/Ansys/ansys-mechanical-evidence-structural -g -y

Use without installing

npx skills use Cai-aa/CAE-Agent-Hub@ansys-mechanical-evidence-structural

指定 Agent (Claude Code)

npx skills add Cai-aa/CAE-Agent-Hub --skill ansys-mechanical-evidence-structural -a claude-code -g -y

安装 repo 全部 skill

npx skills add Cai-aa/CAE-Agent-Hub --all -g -y

预览 repo 内 skill

npx skills add Cai-aa/CAE-Agent-Hub --list

SKILL.md

Frontmatter

{
    "name": "ansys-mechanical-evidence-structural",
    "description": "Evidence-first Ansys Mechanical structural automation through Workbench RunWB2 journals, Mechanical Scripting\/ACT ExtAPI, or PyMechanical gRPC. Use when Codex must build, solve, inspect, postprocess, or validate static, modal, thermal-structural, contact, nonlinear, or other Mechanical analyses with mesh metrics, MAPDL logs, reaction balance, RST files, numeric exports, and result images."
}

Ansys Mechanical Evidence Structural

Treat Mechanical as its own solver module. Workbench is an orchestration route, not proof that the Mechanical analysis solved.

Start

ai-cae-toolbox context-scope --solver ansys-mechanical
ai-cae-toolbox bridge-plan --solver ansys-mechanical --objective "<objective>"
ai-cae-toolbox create-run --solver ansys-mechanical --case <case-name> --objective "<objective>"

If MCP is available, prefer:

mechanical_check_installation
mechanical_run_workbench_journal_file
mechanical_run_python_controller_file
mechanical_validate_result_summary_file

Choose One Control Route

Use RunWB2.exe -B -R <journal.wbjn> for project-level orchestration.
Use Mechanical Scripting/ACT with ExtAPI for model-tree operations.
Use PyMechanical gRPC for an external Python controller and explicit session lifecycle.

Record the selected route and do not let two controllers own the same session.

Model and Solve

Audit units, geometry scale, materials, contacts, joints, loads, constraints, large-deflection setting, solver controls, result requests, and mesh controls. Use stable names for bodies, named selections, contacts, loads, and results.

Before claiming success, read references/acceptance-gates.md. A .mechdat, Workbench project, or result PNG alone is insufficient.

Finish

Export .mechdat or .wbpj, file.rst, solve.out, mesh metrics, load and reaction data, result CSV/JSON, PNG images, and report.md. State every approximation such as bonded contacts, suppressed bodies, linear materials, or disabled large deformation.

ai-cae-toolbox scan-evidence <run-dir>
ai-cae-toolbox generate-report <run-dir>

Version History

fc7b93e Current 2026-08-16 08:57

Metadata

Files: 0
Version: 3a9ec7a
Hash: f94a1b02
Indexed: 2026-08-16 08:57

ansys-mechanical-evidence-structural