# evil-winrm-py

> evil-winrm-py — adityatelange-evil-winrm-py. Use this tool when you need to execute commands interactively on remote Windows machines, solving issues with remote access and management. It utilizes the WinRM protocol to provide fast and efficient interaction, accepting commands as input and returning output from the remote machine. Ideal for use cases requiring remote command execution, such as system administration and troubleshooting.

Canonical page: https://skillsregistry.net/skills/adityatelange-evil-winrm-py  
JSON: https://api.skillsregistry.net/v1/skills/adityatelange-evil-winrm-py

## Description

Execute commands interactively on remote Windows machines using the WinRM protocol (just faster)

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/adityatelange/evil-winrm-py)

## 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": "adityatelange-evil-winrm-py"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adityatelange-evil-winrm-py` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adityatelange-evil-winrm-py/pull`

---
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