calculix-modal-analysis

calculix-modal-analysis is a skill for Claude Code, Codex from Cai-aa/CAE-Agent-Hub. It costs 76 tokens per session (788 once invoked), scanned A, original, MIT.

A workflow for CalculiX, an open-source engineering simulation program, that calculates an object's natural vibration frequencies and shapes. A frequency analysis shows how a structure vibrates when it is disturbed without an ongoing applied load.

In plain words
What is it for?
Use it to run frequency analyses, read frequency tables, check vibration margins, and view individual mode shapes in a browser.
Why use it?
It helps identify vibration frequencies that may cause resonance, when forcing matches a structure's natural frequency. It also provides the mode shapes needed to see how the structure moves.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to run frequency analyses, read frequency tables, check vibration margins, and view individual mode shapes in a browser.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cai-aa/cae-agent-hub/calculix-modal-analysis
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 calculix-modal-analysis
Clone the repo
git clone --depth 1 https://github.com/Cai-aa/CAE-Agent-Hub

Made for: Claude Code, Codex.

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 calculix-modal-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/cai-aa/cae-agent-hub/calculix-modal-analysis/github.svg)](https://agentmods.dev/skills/cai-aa/cae-agent-hub/calculix-modal-analysis)
Your own site
<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.

agentmods 80×15 button for calculix-modal-analysis

Your own site · 80×15
<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>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 788 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00076 $0.00788
Opus 5 $0.00038 $0.00394
Sonnet 5 $0.00015 $0.00158
Haiku 4.5 $0.00008 $0.00079

Measured 11d ago against content hash dc5de5752b74, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

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.

Skill/calculix/calculix-modal-analysis/SKILL.md · 56 lines

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_solverread_resultsexport_results).

Not for: static stress/deflection (use calculix-fem), transient/dynamic response (not yet supported), or sizing optimization (calculix-sizing-optimization).

Workflow

  1. Confirm the deck has *DENSITY under its *MATERIAL — frequencies need mass; without density ccx fails the eigenvalue solve.
  2. Confirm the step is *FREQUENCY with the wanted mode count on its data line, and *NODE PRINT, NSET=<all> / U so eigenvectors reach the .dat. No load is applied (free vibration); keep the *BOUNDARY clamp set.
  3. run_solver_tool — submit the deck. Note: a *FREQUENCY run writes a header-only .sta (no increments in an eigenvalue solve); success accepts a non-empty .dat instead, so this is normal, not a failure.
  4. read_results_tool — returns frequencies as [{mode, eigenvalue, freq_rad_s, freq_hz}] and n_modes (a doubly symmetric section gives degenerate pairs — f1 = f2 — which is expected).
  5. export_results_tool with mode=N — writes result_mesh.json holding 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.

Read the full file on GitHub · 56 lines

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. 11d ago First seen · 56 lines · 76 tokens per session scan A dc5de5752b74

Subscribe to this mod's changes

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.

Related

Other skills, from other repositories

instrument-data-to-allotrope

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…

anthropics/knowledge-work-plugins · 123 tokens

matlab

Build, review, migrate, and safely plan MATLAB or GNU Octave numerical workflows, including arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.

K-Dense-AI/scientific-agent-skills · 42 tokens

exploratory-data-analysis

Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…

K-Dense-AI/scientific-agent-skills · 83 tokens

phylogenetics

Build and analyze phylogenetic trees using MAFFT (multiple alignment), IQ-TREE 2 (maximum likelihood), and FastTree (fast NJ/ML). Visualize with ETE3 or FigTree. For evolutionary analysis, microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.

K-Dense-AI/scientific-agent-skills · 68 tokens

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

mapping-to-snomed

Maps clinical concept spans extracted by OpenMed to SNOMED CT concepts through a USER-SUPPLIED terminology server (the user's own Ontoserver, Snowstorm, or UMLS/UTS), never a bundled vocabulary. Use when the user wants to code findings, disorders, procedures, body structures, or substances to SNOMED CT, run an ECL…

maziyarpanahi/openmed · 205 tokens