CAE Agent Hub is a collection of connectors, reusable agent skills, solver-automation workflows, and browser viewers that let coding agents work with engineering simulation software. It is for users of CAE applications and engineering solvers such as Abaqus, ANSYS, LAMMPS, and FreeCAD who work through clients including Codex, Cursor, Claude Code, or Claude Desktop. The catalogue includes 58 skills for these simulation and automation workflows.
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 csv-exportgit 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/csv-export)<a href="https://agentmods.dev/skills/cai-aa/cae-agent-hub/csv-export"><img src="https://agentmods.dev/badge/skills/cai-aa/cae-agent-hub/csv-export/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.
<a href="https://agentmods.dev/skills/cai-aa/cae-agent-hub/csv-export"><img src="https://agentmods.dev/badge/skills/cai-aa/cae-agent-hub/csv-export.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00030 | $0.00813 |
| Opus 5.5 | $0.00012 | $0.00325 |
| Sonnet 5.5 | $0.00006 | $0.00163 |
| Haiku 4.5 | $0.00003 | $0.00081 |
Grade A, and why
csv-export 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 20d 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CSV Export
Description
Export curing simulation results to CSV with node coordinates and displacements. Invoke when user needs CSV output, data export, or result comparison.
Content
CSV Format
The exported CSV file uses the following column format:
Node,X,Y,Z,U1,U2,U3
Node: Node label (integer)X, Y, Z: Node coordinatesU1, U2, U3: Displacement components from the sp step last frame
Complete Export Script
import os
from abaqusConstants import *
work_dir = 'C:\\Users\\...\\work_directory'
recipes = ['P8_mold_recipe_1', 'P8_mold_recipe_2', 'P8_mold_recipe_3']
for name in recipes:
odb_path = os.path.join(work_dir, name + '.odb')
odb = session.openOdb(name=name+'_odb', path=odb_path, readOnly=True)
inst = odb.rootAssembly.instances['P8-1']
last_frame = odb.steps['sp'].frames[-1]
u_field = last_frame.fieldOutputs['U']
u_map = {}
for val in u_field.values:
u_map[val.nodeLabel] = (val.data[0], val.data[1], val.data[2])
csv_path = os.path.join(work_dir, name + '.csv')
lines = ['Node,X,Y,Z,U1,U2,U3']
for node in inst.nodes:
nid = node.label
x, y, z = node.coordinates
if nid in u_map:
u1, u2, u3 = u_map[nid]
lines.append('%d,%.6f,%.6f,%.6f,%.6f,%.6f,%.6f' % (nid, x, y, z, u1, u2, u3))
with open(csv_path, 'w') as f:
f.write('\n'.join(lines))
odb.close()
Output Details
- 8-ply model: 5445 nodes exported
- 4-ply model: 3025 nodes exported
- Data is extracted from the sp step (springback) last frame, which represents the final deformation
Usage Scenarios
Comparing Ply Layups
Use the CSV output to compare different ply layup configurations:
- Symmetry analysis of deformation patterns
- Identifying maximum displacement locations
- Comparing springback magnitudes across recipes
Extending with Additional Fields
The script can be extended to include additional field outputs by adding more columns:
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.
- 20d ago Changed · +5 lines · +30 tokens per session 4e437d63a307
- 1mo ago First seen · 98 lines · 0 tokens per session scan A 3dfc46a0d1f5
csv-export is a skill published in the GitHub repository Cai-aa/CAE-Agent-Hub (1,092 stars, last pushed 5d ago), licensed MIT. It adds 30 tokens to every session and 813 once invoked, about $0.0001 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 2026-08-30.
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