Agent skill

Fep Agent Hub

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

Orchestrate and validate evidence-first CAE workflows through the independent FreeCAD, Elmer FEM, and ParaView MCP servers in FEP Agent Hub.

MITAuto-check passedAgent Workflows

Install Fep Agent Hub

skills CLI
$ npx skills add Cai-aa/CAE-Agent-Hub --skill fep-agent-hub -a claude-code

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

GitHub CLI
$ gh skill install Cai-aa/CAE-Agent-Hub fep-agent-hub --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/fep-agent-hub .claude/skills/fep-agent-hub && 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
fep-agent-hub
GitHub stars
1k
Token cost
~1.4k tokens
SKILL.md length
621 words
Files
5 (incl. references)
Skills in repo
57
Repo updated
First seen
Licence
MIT

At a glance

Orchestrate and validate evidence-first CAE workflows through the independent FreeCAD, Elmer FEM, and ParaView MCP servers in FEP Agent Hub.

  • Works in 5 steps: Locate the FEP Agent Hub repository and… → Resolve native executables through… → Choose a unique project name beneath the… → …
  • FEP repository setup
  • SKILL.md covers Establish the run contract, Select a verified profile, Orchestrate the native chain and Enforce evidence and claims, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Fep Agent Hub is an agent skill from Cai-aa/CAE-Agent-Hub. Orchestrate and validate evidence-first CAE workflows through the independent FreeCAD, Elmer FEM, and ParaView MCP servers in FEP Agent Hub. Use for FEP repository setup or diagnostics; CAD-to-mesh-to-solver-to-postprocessing automation; steady or transient heat transfer; 2D harmonic transformer induction; 2D plane-stress beams; 2D steady laminar channel flow; 2D transient eddy-current and Lenz-law studies; regression, acceptance reports, or scientifically honest CAE videos built from these verified profiles.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `agents/openai.yaml`, `references/case-catalog.md` and `references/orchestration.md`).

It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol. The licence is MIT.

When your agent uses it

  • FEP repository setup
  • CAD-to-mesh-to-solver-to-postprocessing automation
  • Transient heat transfer
  • 2D harmonic transformer induction

Example prompts

  • “/fep-agent-hub”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Locate the FEP Agent Hub repository and read its AGENTS.md, root README, relevant prompt, and relevant report before changing a workflow.
  2. Resolve native executables through OPEN_CAE_CONFIG, environment variables, or configs/open-cae.local.toml. Treat public paths as…
  3. Choose a unique project name beneath the configured workspace. Keep FCStd, STEP, mesh, SIF, logs, VTU/PVD, images, tables, and evidence…
  4. Probe all three MCP environments before modeling. Stop if a required native executable or server is unavailable.
  5. Never expose arbitrary shell, Python, executable, macro, MATC, or raw SIF input. Use only fixed runners, structured parameters, and…

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.

    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

Fep Agent Hub loads about 1.4k tokens when it runs, and up to ~5.1k if it reads all its reference files. Until then it costs about 132 tokens; SKILL.md has 621 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~132
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.1k

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). 621 words, ~1,419 tokens.

Download SKILL.mdSave it as .claude/skills/fep-agent-hub/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
fep-agent-hub
description
Orchestrate and validate evidence-first CAE workflows through the independent FreeCAD, Elmer FEM, and ParaView MCP servers in FEP Agent Hub. Use for FEP repository setup or diagnostics; CAD-to-mesh-to-solver-to-postprocessing automation; steady or transient heat transfer; 2D harmonic transformer induction; 2D plane-stress beams; 2D steady laminar channel flow; 2D transient eddy-current and Lenz-law studies; regression, acceptance reports, or scientifically honest CAE videos built from these verified profiles.

FEP Agent Hub

Run the three MCP servers as independent stages joined by manifests, semantic IDs, native solver artifacts, and explicit physics gates. Preserve auditability over convenience.

Establish the run contract

  1. Locate the FEP Agent Hub repository and read its AGENTS.md, root README, relevant prompt, and relevant report before changing a workflow.
  2. Resolve native executables through OPEN_CAE_CONFIG, environment variables, or configs/open-cae.local.toml. Treat public paths as placeholders.
  3. Choose a unique project name beneath the configured workspace. Keep FCStd, STEP, mesh, SIF, logs, VTU/PVD, images, tables, and evidence inside that project.
  4. Probe all three MCP environments before modeling. Stop if a required native executable or server is unavailable.
  5. Never expose arbitrary shell, Python, executable, macro, MATC, or raw SIF input. Use only fixed runners, structured parameters, and allowlisted analysis profiles.

Select a verified profile

Read references/case-catalog.md when selecting a profile, copying benchmark parameters, or deciding whether the request exceeds verified capability.

Use a listed profile only for the physics and dimensionality it declares. Add a new profile, deterministic benchmark, tests, and gates before claiming a new class of analysis is supported.

Orchestrate the native chain

Read references/orchestration.md before executing or modifying a case.

Follow this order:

  1. Preflight — inspect tool/resource inventories and probe FreeCAD, Elmer/Gmsh, and ParaView.
  2. FreeCAD — create or open the document; create named features; apply only required booleans/transforms; inspect objects; validate geometry; save FCStd; export STEP plus geometry manifest.
  3. Elmer geometry and mesh — create the case with an allowlisted profile; import STEP and manifest; generate Gmsh physical groups; convert with ElmerGrid; inspect SI bounds, entity counts, and semantic mappings.
  4. Elmer physics — set materials, the structured equation profile, excitations, and boundary conditions; generate and validate SIF; run ElmerSolver; check job state, process exit, logs, expected time steps, actual arrays, finite values, and physics gates.
  5. ParaView — start the MCP-owned headless session; open the actual VTU/PVD; inspect dataset type, arrays, associations, ranges, and time values before creating filters; render/export PNG, CSV, animation frames, and PVSM; inspect the final pipeline; stop only the MCP-owned session.
  6. Report — record inputs, versions, mesh, solver status, field extrema, benchmark errors, sensitivity checks, artifacts, hashes, pass/fail decisions, limitations, and the exact meaning of any animation.

Do not skip directly from file creation to visualization. Each stage must pass before its artifact becomes input to the next stage.

Show full SKILL.md (233 more words)Show less

Enforce evidence and claims

Read references/validation-and-claims.md before accepting results, publishing percentages, comparing accuracy, or composing video.

Apply these non-negotiable rules:

  • Treat SUCCEEDED, BLOCKED, and FAILED as distinct outcomes. A contextually unsupported operation should return BLOCKED, not a fabricated artifact.
  • Never infer solver success from file presence. Require successful process exit, completion markers, absence of fatal diagnostics, expected artifacts, finite/nontrivial fields, and case-specific physics gates.
  • Preserve semantic identity across FreeCAD semantic_id -> Gmsh Physical ID -> Elmer body/boundary ID -> VTU array -> ParaView proxy/array.
  • State contract coverage, call success rate, and numerical error separately. A 100% workflow pass rate is not 100% engineering accuracy.
  • Keep large native results local. Commit only code, prompts, compact metrics, curated evidence, and reports permitted by .gitignore.
  • Describe transient, harmonic, quasi-static, and steady media honestly. Postproduction motion never upgrades the underlying physics.

Use repository regression scripts

When a deterministic full-case replay is requested, prefer the repository scripts instead of reconstructing long tool sequences:

  • scripts/mcp_heat_smoke.py
  • scripts/mcp_transient_heat_smoke.py
  • scripts/mcp_transformer_smoke.py
  • scripts/mcp_beam_smoke.py
  • scripts/mcp_channel_flow_smoke.py
  • scripts/mcp_lenz_eddy_smoke.py --variants full
  • scripts/mcp_full_validation.py
  • scripts/protocol_smoke.py

Run the repository's current prescribed test matrix before release. Report the observed counts from that run rather than copying historical counts into a new claim.

Block unsupported extensions

Return BLOCKED with the missing profile, model, reference data, or validation work when the request requires unverified nonlinear materials, contact, plasticity, structural dynamics, turbulence, free surfaces, compressibility, three-dimensional end effects, magnetic hysteresis/saturation, motion, bidirectional multiphysics, MPI, arbitrary scripts, or industrial-certification accuracy.

© 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 4 other files (references) in Skill/fep-agent-hub of Cai-aa/CAE-Agent-Hub.

  • SKILL.md
  • agents/openai.yaml
  • references/case-catalog.md
  • references/orchestration.md
  • references/validation-and-claims.md

Open the folder on GitHubat commit 194ef49

Compare with similar skills

Fep Agent Hub 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.

Fep Agent Hub compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fep Agent Hub this skillCai-aa/CAE-Agent-Hub1k—~1.4kAutomated 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
Crush Configurationcharmbracelet/crush29k—~3.7kAutomated safety check: PassCustom licence
Context Mode Output Sandboxmksglu/context-mode26k—~4.1kAutomated safety check: PassCustom licence

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Categories

Questions about Fep Agent Hub

What does Fep Agent Hub do?

Orchestrate and validate evidence-first CAE workflows through the independent FreeCAD, Elmer FEM, and ParaView MCP servers in FEP Agent Hub. Fep Agent Hub is an agent skill from Cai-aa/CAE-Agent-Hub. Orchestrate and validate evidence-first CAE workflows through the independent FreeCAD, Elmer FEM, and ParaView MCP servers in FEP Agent Hub.

When should I use Fep Agent Hub?

Fep Agent Hub fits situations like: FEP repository setup; CAD-to-mesh-to-solver-to-postprocessing automation; transient heat transfer; 2D harmonic transformer induction.

How do I install Fep Agent Hub in Claude Code?

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

How do I install Fep Agent Hub in Codex?

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

Can I use Fep Agent Hub 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 fep-agent-hub -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fep-agent-hub, .gemini/skills/fep-agent-hub, .github/skills/fep-agent-hub and .opencode/skills/fep-agent-hub in your project.

What does Fep Agent Hub need to run?

SKILL.md names no scripts, command-line tools or credentials: Fep Agent Hub is instructions for the agent only.

Does Fep Agent Hub 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 Fep Agent Hub 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 Fep Agent Hub use?

Fep Agent Hub 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 Fep Agent Hub use?

About 1.4k tokens (SKILL.md is roughly 5.7k 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 3.7k tokens, read only when the agent opens those files.

What are the alternatives to Fep Agent Hub?

Skills that share tags, products or a category with Fep Agent Hub: 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 Crush Configuration (charmbracelet/crush, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fep Agent Hub?

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.