Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Authors
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

ProTermsPrivacyRefunds
Back to skills

Modal Analysis

ASecurity

Use when you must run a modal analysis of a two degree of freedom mass-spring structural model: compute the natural frequencies in rad/s and Hz, derive the mode shape ratios, and check an excitation frequency against the natural frequencies for resonance risk. Units are SI: masses in kg, stiffnesses in N/m, frequencies in rad/s and Hz. Trigger: modal analysis, natural frequency, mode shape, resonance, eigenvalue, vibration, two degree of freedom.

2 stars
0 votes
0 copies
0 views
Added 9/27/2026
ai-agentspythongoexpressspring

Works with

claude code

Security Analysis

A100/100

Scanned 9/27/2026

Install to Claude Code

$npx -y skills add ashfordeOU/aero-agent-skills --skill modal-analysis --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Modal Analysis?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Modal Analysis
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/ashfordeou-modal-analysis/badge)](https://www.skillsdirectory.com/skills/ashfordeou-modal-analysis)

More formats (shields.io, HTML) on the badges page.

Download with Pro
Files
SKILL.md
---
name: modal-analysis
description: "Use when you must run a modal analysis of a two degree of freedom mass-spring structural model: compute the natural frequencies in rad/s and Hz, derive the mode shape ratios, and check an excitation frequency against the natural frequencies for resonance risk. Units are SI: masses in kg, stiffnesses in N/m, frequencies in rad/s and Hz. Trigger: modal analysis, natural frequency, mode shape, resonance, eigenvalue, vibration, two degree of freedom."
license: Apache-2.0
compliance: STANDARDS-REF
standards:
  - id: far-25
    reference-only: true
gated: false
domain: structures
pack: structures
compatibility: "agentskills.io SKILL.md; any SKILL.md host (Claude Code, Hermes, OpenClaw)"
metadata:
  domain: structures
  subdomain: fem
  tags: [modal-analysis, natural-frequency, mode-shape, resonance, eigenvalue, vibration, two-dof, structural-dynamics]
  version: 0.1.0
  author: Aero Agent Skills
---

# Modal Analysis (structures/fem/modal-analysis)

Use when the task is modal analysis of a two degree of freedom (2-DOF)
mass-spring structural model: computing natural frequencies in rad/s
and Hz, deriving mode shape ratios, and checking resonance risk
against an excitation frequency. Units are SI: masses in kg,
stiffnesses in N/m, frequencies in rad/s and Hz.

## Domain quick reference

- Modal analysis solves the generalized eigenvalue problem
  (K - w^2 M) phi = 0 for the natural frequencies w and the mode
  shape vectors phi of an undamped system.
- A 2-DOF model grounded at both ends has stiffness matrix
  K = [[k1+k2, -k2], [-k2, k2]] and mass matrix M = diag(m1, m2);
  the two natural frequencies are the roots of det(K - w^2 M) = 0.
- Each natural frequency has an associated mode shape: the relative
  motion of the two masses, expressed here as the ratio phi2/phi1.
- Forcing near a natural frequency drives large response amplitudes;
  a resonance check flags excitation frequencies inside a tolerance
  band around any natural frequency.
- FAR-25 (25.301-25.307) sets the certification context for structure
  loads and proof; this skill computes the modal quantities that
  feed vibration-sensitive assessments, not the loads themselves.

## Workflow

1. Gather the two masses (kg) and the two spring rates (N/m) of the
   grounded 2-DOF model.
2. Compute the natural frequencies in rad/s with natural_frequencies
   and in Hz with frequencies_hz.
3. Derive the mode shape ratio for each mode with mode_shapes
   (normalized to a first component of 1.0).
4. Check the excitation frequency with resonance_check (default
   tolerance band 10% of each natural frequency).
5. Interpret the verdict: resonance True means the excitation sits
   inside the band of a natural frequency; detune stiffness or mass
   to move the natural frequencies away.

## Pitfalls

- Mixing units: the module is all-SI (kg, N/m, rad/s, Hz); convert
  inputs before calling the functions.
- Forgetting that the coupling spring k2 appears in both diagonal
  entries of K (as k1+k2 and as k2).
- Reading mode shape ratios as absolute displacements; they describe
  relative motion only.
- Using an overly wide resonance tolerance band; 10% of the natural
  frequency is the default.
- Applying a 2-DOF result to a structure that needs more degrees of
  freedom to represent its modes.

## Behavior contract (gate 3)

The modal logic is exercised by the gate 3 contract test:
scripts/test_modal_analysis_logic.py against
scripts/modal_analysis_logic.py (stdlib unittest, offline). Run:
python3 scripts/test_modal_analysis_logic.py

## Compliance

- FAR-25 is referenced, not reproduced: standards-map.yaml marks it
  gated: false and reference-only: true; only the summary paraphrase
  above is used, never standard text.
- compliance: STANDARDS-REF, gated: false.

Attribution

ashfordeOUashfordeOU
View sourceMore from ashfordeOU →
SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Related Skills

Caveman

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

1074701 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

694821 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3351 votes

catchup

Recovers the conversation and failed tool calls of a previous Codex, Claude Code, Antigravity, Cline, Copilot CLI, Cursor, DeepSeek Harness, Kimi, OpenCode, Pi Agent, or ZCode session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", asks to recover/summarize a previous session before continuing, or asks to diagnose or report a catchup failure. Do NOT use for the current conversation, git history, or any non-agent log.

691 votes

math-skill

A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling

381 votes
View all in ai-agents →