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sim-plugin-comsol

Skill Development Usable
Works inClaude Code
Usable Scanned — metadata only

Integrates COMSOL simulations into AI-assisted development workflows, enabling automated model inspection and execution without manual context switching.

Use Codex and Claude Code with COMSOL via sim-cli: .mph inspection, live Desktop sessions, bounded execution, artifacts.

56 starsApache-2.0 (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Integrates COMSOL simulations into AI-assisted development workflows, enabling automated model inspection and execution without manual context switching. Reduces setup friction for teams running multiphysics simulations at scale.

Engineering teams using COMSOL for multiphysics modeling who need programmatic access and AI-assisted simulation debugging.

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https://github.com/svd-ai-lab/sim-plugin-comsol

By svd-ai-lab

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install svd-ai-lab/sim-plugin-comsol

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Inspect a COMSOL .mph file and extract physics parameters automatically
CostFree

Trust Signals Auto-scanned

Stars56Contributors2Last updated2026-07-10LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-25 · scanner v1

Community Pulse Emerging

Discussed on Reddit

1 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 56 GitHub stars; 2 contributors; last commit 15d ago; license Apache-2.0.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 56 GitHub stars; 2 contributors; last commit 15d ago; license Apache-2.0.

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