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 calculix-modal-analysisgit 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/calculix-modal-analysis)<a href="https://agentmods.dev/skills/cai-aa/cae-agent-hub/calculix-modal-analysis"><img src="https://agentmods.dev/badge/skills/cai-aa/cae-agent-hub/calculix-modal-analysis/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/calculix-modal-analysis"><img src="https://agentmods.dev/badge/skills/cai-aa/cae-agent-hub/calculix-modal-analysis.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 | $0.00076 | $0.00788 |
| Opus 5 | $0.00038 | $0.00394 |
| Sonnet 5 | $0.00015 | $0.00158 |
| Haiku 4.5 | $0.00008 | $0.00079 |
Grade A, and why
calculix-modal-analysis 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 11d 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CalculiX Modal Analysis
Free-vibration eigenanalysis on a CalculiX deck: a *FREQUENCY step requests N
eigenpairs; ccx prints the eigenvalue table and per-mode eigenvectors to the
.dat, so both frequencies and mode shapes parse from text (no .frd needed).
When to Use
Use when an agent must extract natural frequencies, check resonance/vibration
margins, or visualize mode shapes on a CalculiX model. Driven by the same MCP
tools as static runs (run_solver → read_results → export_results).
Not for: static stress/deflection (use calculix-fem), transient/dynamic
response (not yet supported), or sizing optimization (calculix-sizing-optimization).
Workflow
- Confirm the deck has
*DENSITYunder its*MATERIAL— frequencies need mass; without density ccx fails the eigenvalue solve. - Confirm the step is
*FREQUENCYwith the wanted mode count on its data line, and*NODE PRINT, NSET=<all>/Uso eigenvectors reach the.dat. No load is applied (free vibration); keep the*BOUNDARYclamp set. run_solver_tool— submit the deck. Note: a*FREQUENCYrun writes a header-only.sta(no increments in an eigenvalue solve); success accepts a non-empty.datinstead, so this is normal, not a failure.read_results_tool— returnsfrequenciesas[{mode, eigenvalue, freq_rad_s, freq_hz}]andn_modes(a doubly symmetric section gives degenerate pairs — f1 = f2 — which is expected).export_results_toolwithmode=N— writesresult_mesh.jsonholding that mode's eigenvector as a stress-free displacement field; the viewer renders the mode shape with its usual auto-scaled deformation.
Rules
- Units follow the
.inp(commonly mm-t-s-MPa → frequencies in Hz). - Eigenvectors are mass-normalized; their magnitude carries no physical displacement meaning — only the shape does. The viewer auto-scales.
- Fully-integrated C3D8 hexes shear-lock in bending: ccx frequencies run ~5-10% ABOVE the Euler-Bernoulli hand calc. For tight margins, refine the mesh through the thickness (or switch element type) and report the gap.
- Hand-calc check for a clamped-free bar: f_n = (beta_n^2 / 2pi) * sqrt(E I / (rho A L^4)), beta_1 = 1.8751.
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.
- 11d ago First seen · 56 lines · 76 tokens per session scan A dc5de5752b74
calculix-modal-analysis is a skill published in the GitHub repository Cai-aa/CAE-Agent-Hub (877 stars, last pushed 4d ago), licensed MIT. It adds 76 tokens to every session and 788 once invoked, about $0.0004 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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