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.
npx skills add Cai-aa/CAE-Agent-Hub --skill fea-structuralgit clone --depth 1 https://github.com/Cai-aa/CAE-Agent-HubWrote 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.
[](https://agentmods.dev/skills/cai-aa/cae-agent-hub/fea-structural)<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>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.
| Model | Per session | Once 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 |
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.
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
-
CAD Import and Cleanup
- Defeature small holes and fillets (analysis dependent)
- Remove unnecessary detail
- Verify watertight geometry
- Create symmetry conditions if applicable
-
Geometry Partitioning
- Partition for mesh control
- Create virtual topology for hex meshing
- Identify contact surfaces
- Define load application regions
Mesh Generation
-
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 -
Mesh Quality Criteria
Aspect ratio: < 5 (< 3 preferred) Jacobian: > 0.6 Warpage: < 15 degrees Skewness: < 0.8 -
Mesh Refinement
- Refine at stress concentrations
- Transition ratios < 1.5
- Multiple elements through thickness
- Convergence study requirements
Analysis Configuration
Boundary Conditions
- Constraints
- Fixed (all DOF constrained)
- Pinned (translations fixed, rotations free)
- Symmetry (appropriate DOF constrained)
- Prescribed displacement
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.
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.
- 7d ago First seen · 222 lines · 23 tokens per session scan A 76a06680d3c3
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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