# execkit

> execkit — jayashankarvr-execkit. Use this tool when you need to execute commands securely and reliably across different environments, such as local shells, SSH, and Docker, with features like statefulness and structure to ensure safe and controlled execution. It solves problems related to command execution, automation, and deployment, and accepts inputs like commands and scripts, producing outputs like execution results and logs. Ideal for use cases involving DevOps, automation, and AI agent interactions with external systems, including git operations.

Canonical page: https://skillsregistry.net/skills/jayashankarvr-execkit  
JSON: https://api.skillsregistry.net/v1/skills/jayashankarvr-execkit

## Description

Stateful, structured, safe command execution for AI agents - over local shells, SSH, and Docker.

## 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:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/jayashankarvr/execkit)

## 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": "jayashankarvr-execkit"
    }
  }
}
```

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