Agent skill

Aedt Evidence Electromagnetics

by Cai-aa in Cai-aa/CAE-Agent-Hub

Evidence-first Ansys Electronics Desktop and PyAEDT automation for Maxwell, HFSS, Q3D, Icepak, and related electromagnetic workflows.

MITAuto-check passed

Install Aedt Evidence Electromagnetics

skills CLI
$ npx skills add Cai-aa/CAE-Agent-Hub --skill aedt-evidence-electromagnetics -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Cai-aa/CAE-Agent-Hub aedt-evidence-electromagnetics --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Cai-aa/CAE-Agent-Hub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Skill/Ansys/aedt-evidence-electromagnetics .claude/skills/aedt-evidence-electromagnetics && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
aedt-evidence-electromagnetics
GitHub stars
1k
Token cost
~591 tokens
SKILL.md length
199 words
Files
3 (incl. references)
Skills in repo
57
Repo updated
First seen
Licence
MIT

At a glance

Evidence-first Ansys Electronics Desktop and PyAEDT automation for Maxwell, HFSS, Q3D, Icepak, and related electromagnetic workflows.

  • Codex must check AEDT/PyAEDT
  • SKILL.md covers Start, Select the Correct Route, Execute and Finish
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Run a real AEDT design

What it does

Aedt Evidence Electromagnetics is an agent skill from Cai-aa/CAE-Agent-Hub. Evidence-first Ansys Electronics Desktop and PyAEDT automation for Maxwell, HFSS, Q3D, Icepak, and related electromagnetic workflows. Use when Codex must check AEDT/PyAEDT, create or run a real AEDT design, verify the selected design and solution type, extract fields or matrices, export an .aedt project, or distinguish direct PyAEDT work from an AEDT MCP bridge.

Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/acceptance-gates.md`).

It works with Model Context Protocol. The licence is MIT.

When your agent uses it

  • Codex must check AEDT/PyAEDT
  • Run a real AEDT design
  • Verify the selected design and solution type
  • Export an .aedt project

Example prompts

  • “/aedt-evidence-electromagnetics”

What it can do on your machine

Read from SKILL.md and the folder at commit 194ef49. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are powershell).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Aedt Evidence Electromagnetics loads about 591 tokens when it runs, and up to ~927 if it reads all its reference files. Until then it costs about 99 tokens; SKILL.md has 199 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~99
When it runs · the whole SKILL.md, loaded when a task matches
~591
With references · SKILL.md plus every file in references/, read only if the agent opens them
~927

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Cai-aa/CAE-Agent-Hub at commit 194ef49, republished under its MIT licence (© Cai-aa). 199 words, ~591 tokens.

Download SKILL.mdSave it as .claude/skills/aedt-evidence-electromagnetics/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
aedt-evidence-electromagnetics
description
Evidence-first Ansys Electronics Desktop and PyAEDT automation for Maxwell, HFSS, Q3D, Icepak, and related electromagnetic workflows. Use when Codex must check AEDT/PyAEDT, create or run a real AEDT design, verify the selected design and solution type, extract fields or matrices, export an .aedt project, or distinguish direct PyAEDT work from an AEDT MCP bridge.

AEDT Evidence Electromagnetics

Use the repository toolbox and a user-owned AEDT installation. Never infer a successful electromagnetic solve from ansysedt.exe, a project file, or a geometry screenshot.

Start

powershell
ai-cae-toolbox context-scope --solver aedt
ai-cae-toolbox bridge-plan --solver aedt --objective "<objective>"
ai-cae-toolbox create-run --solver aedt --case <case-name> --objective "<objective>"
ai-cae-toolbox write-smoke-template --solver aedt --run-dir <run-dir>

If MCP is available, prefer:

  • aedt_check_installation
  • aedt_run_pyaedt_script_file
  • scan_run_evidence
  • generate_run_report

Select the Correct Route

  • Use direct PyAEDT when the requested solver or API surface is not exposed by the installed MCP.
  • Use an AEDT MCP only for capabilities it actually exposes.
  • Do not build HFSS when the task requires Maxwell, or claim that an HFSS-focused MCP completed a Maxwell workflow.
  • Record AEDT version, PyAEDT version, project, design name, design type, solution type, and whether a new or existing desktop session was used.

Execute

Keep scripts in scripts/, source parameters in inputs/, project outputs in outputs/, and field plots/tables in exports/. Make every geometry dimension, material, excitation, boundary, setup, and sweep explicit.

For Maxwell matrix work, audit winding polarity and reciprocity. For HFSS, audit ports, modes, radiation boundaries, frequency setup, adaptive convergence, and S-parameter passivity. Read references/acceptance-gates.md before interpreting solver output.

Finish

Collect the AEDT project, solver/adaptive log, mesh statistics, numeric CSV/JSON, field images, and a report. Clearly label any external circuit calculation or Python-derived plot that is not a native AEDT result.

powershell
ai-cae-toolbox scan-evidence <run-dir>
ai-cae-toolbox generate-report <run-dir>

© Cai-aa, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in Skill/Ansys/aedt-evidence-electromagnetics of Cai-aa/CAE-Agent-Hub.

  • SKILL.md
  • agents/openai.yaml
  • references/acceptance-gates.md

Open the folder on GitHubat commit 194ef49

Compare with similar skills

Aedt Evidence Electromagnetics next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Aedt Evidence Electromagnetics compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Aedt Evidence Electromagnetics this skillCai-aa/CAE-Agent-Hub1k—~591Automated safety check: PassMIT
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
MCP Server BuildershareAI-lab/learn-claude-code78k4 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official38k11 repos~3.1kAutomated safety check: PassApache-2.0
Figma use_figma Plugin API Ruleswarpdotdev/warp65k4 repos~4.4kAutomated safety check: PassAGPL-3.0
Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills8.5k6 repos~3.2kAutomated safety check: NotesApache-2.0

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Questions about Aedt Evidence Electromagnetics

What does Aedt Evidence Electromagnetics do?

Evidence-first Ansys Electronics Desktop and PyAEDT automation for Maxwell, HFSS, Q3D, Icepak, and related electromagnetic workflows. Aedt Evidence Electromagnetics is an agent skill from Cai-aa/CAE-Agent-Hub. Evidence-first Ansys Electronics Desktop and PyAEDT automation for Maxwell, HFSS, Q3D, Icepak, and related electromagnetic workflows.

When should I use Aedt Evidence Electromagnetics?

Aedt Evidence Electromagnetics fits situations like: Codex must check AEDT/PyAEDT; run a real AEDT design; verify the selected design and solution type; export an .aedt project.

How do I install Aedt Evidence Electromagnetics in Claude Code?

Run `npx skills add Cai-aa/CAE-Agent-Hub --skill aedt-evidence-electromagnetics -a claude-code`. Or copy the skill folder (Skill/Ansys/aedt-evidence-electromagnetics in Cai-aa/CAE-Agent-Hub) into .claude/skills/aedt-evidence-electromagnetics in your project. Claude Code loads it when a task matches its description.

How do I install Aedt Evidence Electromagnetics in Codex?

Run `npx skills add Cai-aa/CAE-Agent-Hub --skill aedt-evidence-electromagnetics -a codex`. Or copy the skill folder (Skill/Ansys/aedt-evidence-electromagnetics in Cai-aa/CAE-Agent-Hub) into .agents/skills/aedt-evidence-electromagnetics in your project. Codex loads it when a task matches its description.

Can I use Aedt Evidence Electromagnetics in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Cai-aa/CAE-Agent-Hub --skill aedt-evidence-electromagnetics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aedt-evidence-electromagnetics, .gemini/skills/aedt-evidence-electromagnetics, .github/skills/aedt-evidence-electromagnetics and .opencode/skills/aedt-evidence-electromagnetics in your project.

What does Aedt Evidence Electromagnetics need to run?

SKILL.md names no scripts, command-line tools or credentials: Aedt Evidence Electromagnetics is instructions for the agent only.

Does Aedt Evidence Electromagnetics access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Aedt Evidence Electromagnetics safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Aedt Evidence Electromagnetics use?

Aedt Evidence Electromagnetics is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Aedt Evidence Electromagnetics use?

About 591 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 336 tokens, read only when the agent opens those files.

What are the alternatives to Aedt Evidence Electromagnetics?

Skills that share tags, products or a category with Aedt Evidence Electromagnetics: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aedt Evidence Electromagnetics?

Cai-aa (a GitHub user) maintains it in Cai-aa/CAE-Agent-Hub, which has 1,015 GitHub stars. The repository holds 57 skills in this directory. The repository was last updated on September 30, 2026.

Source: Cai-aa/CAE-Agent-Hub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.