# tescmd

> tescmd — oceanswave-tescmd. Use this tool when you need to query and control Tesla vehicles programmatically, solving issues like remote monitoring and automation for fleet management. It takes inputs like API credentials and vehicle identifiers, and outputs data on vehicle status and control responses. Ideal for use cases involving automated vehicle tracking, charging management, and custom scripting for Tesla fleet owners.

Canonical page: https://skillsregistry.net/skills/oceanswave-tescmd  
JSON: https://api.skillsregistry.net/v1/skills/oceanswave-tescmd

## Description

A Python CLI for querying and controlling Tesla vehicles via the Fleet API. Designed for clankers.

## Trust

- **Trust score (0–1):** 0.12
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Oceanswave/tescmd)

## 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": "oceanswave-tescmd"
    }
  }
}
```

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