# openPASO

> openPASO — alhermann-openpaso. Use this tool when you need to simulate and optimize complex systems using multiple physics codes, and want a unified interface to manage and analyze results. openPASO solves problems in multiphysics simulation by integrating nine finite-element codes, streamlining workflows and reducing complexity. It accepts input parameters and simulation settings, and outputs optimized results and analysis data, ideal for use cases requiring multidisciplinary simulation and optimization.

Canonical page: https://skillsregistry.net/skills/alhermann-openpaso  
JSON: https://api.skillsregistry.net/v1/skills/alhermann-openpaso

## Description

openPASO — open Platform for Agentic Simulation and Optimization. An AI agent that operates nine finite-element and multiphysics codes through one interface.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-24

## Source

- **Source listing:** [GitHub](https://github.com/alhermann/openPASO)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alhermann-openpaso"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alhermann-openpaso` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alhermann-openpaso/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
