fea-structural

fea-structural is a skill for Claude Code from Cai-aa/CAE-Agent-Hub. It costs 23 tokens per session (1,349 once invoked), scanned A, original, MIT.

A workflow guide for finite element analysis (FEA), a method that divides a structure into small parts to predict how it responds to forces, motion, and other conditions. It covers structural simulations in ANSYS Mechanical, Abaqus, and NASTRAN.

In plain words
What is it for?
Use it to prepare geometry, choose and assess mesh elements, define supports and loads, run linear or nonlinear static analyses, study mesh convergence, and produce stress or deflection reports.
Why use it?
It helps organize model preparation, mesh creation, supports, loads, analysis settings, and result checking so structural simulations are set up consistently.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to prepare geometry, choose and assess mesh elements, define supports…

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Install with agentmods
npx agentmods add skills/cai-aa/cae-agent-hub/fea-structural
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 Cai-aa/CAE-Agent-Hub --skill fea-structural
Clone the repo
git clone --depth 1 https://github.com/Cai-aa/CAE-Agent-Hub

Made for: Claude Code.

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 fea-structural

README.md
[![agentmods](https://agentmods.dev/badge/skills/cai-aa/cae-agent-hub/fea-structural.svg)](https://agentmods.dev/skills/cai-aa/cae-agent-hub/fea-structural)
Your own site
<a href="https://agentmods.dev/skills/cai-aa/cae-agent-hub/fea-structural"><img src="https://agentmods.dev/badge/skills/cai-aa/cae-agent-hub/fea-structural.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,349 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 $0.00023 $0.01349
Opus 5 $0.00012 $0.00674
Sonnet 5 $0.00005 $0.00270
Haiku 4.5 $0.00002 $0.00135

Measured 7d ago against content hash 76a06680d3c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

fea-structural 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 7d 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.

Skill/abaqus/reference/fea-structural/SKILL.md · 222 lines

How it starts

The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Finite Element Analysis Skill

Purpose

The Finite Element Analysis skill provides deep integration with FEA tools for structural simulation, enabling systematic setup, execution, and post-processing of finite element models across static, dynamic, and nonlinear analysis domains.

Capabilities

  • ANSYS Mechanical, Abaqus, NASTRAN model setup and execution
  • Mesh generation strategies and quality assessment
  • Element type selection and convergence studies
  • Boundary condition specification and load case management
  • Linear and nonlinear static analysis configuration
  • Results post-processing and margin of safety calculation
  • Mesh independence and sensitivity studies
  • Report generation with stress/deflection contours

Usage Guidelines

Model Setup

Geometry Preparation
  1. CAD Import and Cleanup

    • Defeature small holes and fillets (analysis dependent)
    • Remove unnecessary detail
    • Verify watertight geometry
    • Create symmetry conditions if applicable
  2. Geometry Partitioning

    • Partition for mesh control
    • Create virtual topology for hex meshing
    • Identify contact surfaces
    • Define load application regions
Mesh Generation
  1. Element Selection

    Analysis Type Recommended Elements
    Static stress Hex20, Tet10, Quad8
    Thin structures Shell (QUAD4/8, TRIA3/6)
    Beam structures BEAM/BAR elements
    Contact Linear elements preferred
    Nonlinear Reduced integration with hourglass control
  2. Mesh Quality Criteria

    Aspect ratio: < 5 (< 3 preferred)
    Jacobian: > 0.6
    Warpage: < 15 degrees
    Skewness: < 0.8
    
  3. Mesh Refinement

    • Refine at stress concentrations
    • Transition ratios < 1.5
    • Multiple elements through thickness
    • Convergence study requirements

Analysis Configuration

Boundary Conditions
  1. Constraints
    • Fixed (all DOF constrained)
    • Pinned (translations fixed, rotations free)
    • Symmetry (appropriate DOF constrained)
    • Prescribed displacement

Read the full file on GitHub · 222 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 7d ago First seen · 222 lines · 23 tokens per session scan A 76a06680d3c3

Subscribe to this mod's changes

fea-structural is a skill published in the GitHub repository Cai-aa/CAE-Agent-Hub (839 stars, last pushed 2d ago), licensed MIT. It adds 23 tokens to every session and 1,349 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 2026-08-30.

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