# FieldCure AssistStudio Runner

> Use this tool when you need to automate large language model (LLM) tasks on a schedule in a Windows environment. It solves problems of unattended AI agent execution, allowing for seamless integration with Windows Task Scheduler. The tool takes LLM tasks as input and runs them headlessly, outputting results without requiring user interaction, ideal for enterprise Windows environments.

Canonical page: https://skillsregistry.net/skills/fieldcure-assiststudio-runner  
JSON: https://api.skillsregistry.net/v1/skills/fieldcure-assiststudio-runner

## Description

FieldCure AssistStudio Runner is a Windows-only headless automation engine for running LLM-powered tasks on a schedule using Windows Task Scheduler. Designed for unattended AI agent execution in enterprise Windows environments. Distributed as a NuGet package for .NET stdio usage.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/fieldcure-assiststudio-runner)
- **Repository:** <https://github.com/fieldcure/fieldcure-assiststudio-runner>

## 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": "fieldcure-assiststudio-runner"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fieldcure-assiststudio-runner` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fieldcure-assiststudio-runner/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
