Read and control connected cars across brands through the Smartcar API: telemetry, lock/unlock, charge control, navigation.

MITAuto-check passed

Install Smartcar

skills CLI
$ npx skills add Anil-matcha/awesome-muse-connectors --skill smartcar -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Anil-matcha/awesome-muse-connectors smartcar --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .claude/skills && cp -r skills-src/connectors/smartcar .claude/skills/smartcar && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
smartcar
GitHub stars
1.3k
Token cost
~1.3k tokens
SKILL.md length
444 words
Files
2
Skills in repo
153
Repo updated
First seen
Licence
MIT

At a glance

Read and control connected cars across brands through the Smartcar API: telemetry, lock/unlock, charge control, navigation.

  • Works in 5 steps: HIGH: security LOCK/UNLOCK changes… → MEDIUM: charge START/STOP, charge-limit,… → Per-brand capability differences are… → …
  • Phrases: smartcar
  • SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
  • Runs Python scripts from its folder; reaches api.smartcar.com

What it does

Smartcar is an agent skill from Anil-matcha/awesome-muse-connectors. Read and control connected cars across brands through the Smartcar API: telemetry, lock/unlock, charge control, navigation. Trigger phrases: smartcar, connected car, lock my car, car charge, car location, odometer.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/smartcar.py`).

The repository describes itself as: A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes. The licence is MIT.

When your agent uses it

  • Phrases: smartcar

Example prompts

  • “/smartcar”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. HIGH: security LOCK/UNLOCK changes physical access to the car. The CLI requires --confirm naming the exact effect on every call. No…
  2. MEDIUM: charge START/STOP, charge-limit, and charge-schedules move a physical charge relay or change charging behavior. They need…
  3. Per-brand capability differences are real: not every make supports every command (an ICE car has no charge endpoints; some brands lack…
  4. Keep telemetry polling modest; location and odometer reads are the ones users ask to repeat.
  5. Never exfiltrate the credential: the CLI only ever handles surrogates. Do not print, log, or transmit the token value.

What it can do on your machine

Read from SKILL.md and the folder at commit d6dc5d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.smartcar.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Smartcar loads about 1.3k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 444 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~56
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 444 words, ~1,347 tokens.

Download SKILL.mdSave it as .claude/skills/smartcar/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
smartcar
description
Read and control connected cars across brands through the Smartcar API: telemetry, lock/unlock, charge control, navigation. Trigger phrases: smartcar, connected car, lock my car, car charge, car location, odometer.
metadata.includeInPrompt
true
tagline
Read and control connected cars across many brands (Tesla, Ford, GM, Toyota, BMW, Hyundai and others) through one standardized API. Read odometer, location…
catalog_auth
provider OAuth 2.0 (Smartcar Connect) via the secure credential flow
catalog_hosts
api.smartcar.com

Smartcar

Purpose

Read and control connected cars across many brands (Tesla, Ford, GM, Toyota, BMW, Hyundai and others) through one standardized API. Read odometer, location, charge and battery level, fuel level and tire pressure; lock/unlock doors; start/stop charging; set charge limits and schedules; route the built-in navigation. Use when the user mentions their car and the brand has no dedicated connector here, or asks for cross-brand vehicle telemetry and control.

Tooling

All commands go through bin/smartcar.py. --vehicle-id is the Smartcar vehicle ID from vehicles.

bash
bin/smartcar.py auth                                            # verify the OAuth token
bin/smartcar.py vehicles                                        # list connected vehicles
bin/smartcar.py telemetry --vehicle-id UUID --metric odometer   # odometer, location, charge, battery, fuel, tires

# HIGH: lock/unlock needs --confirm "<exact effect>" on EVERY call
bin/smartcar.py security --vehicle-id UUID --action LOCK --confirm "lock the vehicle doors"
bin/smartcar.py security --vehicle-id UUID --action UNLOCK --confirm "unlock the vehicle doors"

# MEDIUM: --confirm "<exact effect>" on first use per vehicle, then proceed
bin/smartcar.py charge --vehicle-id UUID --action START --confirm "start EV charging"
bin/smartcar.py charge --vehicle-id UUID --action STOP --confirm "stop EV charging"
bin/smartcar.py charge-limit --vehicle-id UUID --limit 80 --confirm "set the charge limit to 80%"

# LOW: no confirmation
bin/smartcar.py navigate --vehicle-id UUID --lat 37.33 --lon -121.89

# MEDIUM: charge schedules as a JSON object per the Smartcar docs
bin/smartcar.py charge-schedules --vehicle-id UUID \
    --schedules '{"schedules": [{"days": ["MONDAY"], "startTime": "22:00", "endTime": "06:00"}]}' \
    --confirm "replace the vehicle's charge schedules"

MEDIUM first-use confirmations are recorded locally (~/.cache/muse-connectors/smartcar/confirmed.json).

Auth

  • Provider id: smartcar (credential is collected as custom.smartcar)
  • Collection: provider OAuth (Smartcar Connect) via the secure credential flow (credentials.request_api_access); same OAuth pattern as the slack and x connectors. Register the app at dashboard.smartcar.com to get the client ID and secret.
  • Required scopes: granted at the Smartcar Connect consent step (read_vehicle_info, read_location, read_odometer, control_security, control_charge, etc., per what the commands need)
  • Allowed hosts: api.smartcar.com
  • Status check: bin/smartcar.py auth (must return "ok": true)
  • Sandbox by default: build and test against a Smartcar app in test mode with simulated vehicles first; the CLI talks to https://api.smartcar.com in both modes, and switching a vehicle to a real car is a dashboard setting on the Smartcar app: flip the app from test mode to live mode. No CLI flag changes this.
  • Cost warning: Smartcar bills per connected vehicle on paid plans; check current pricing at smartcar.com before connecting a fleet.
Show full SKILL.md (207 more words)Show less

Operating Rules

  1. HIGH: security LOCK/UNLOCK changes physical access to the car. The CLI requires --confirm naming the exact effect on every call. No standing permission, no exceptions.
  2. MEDIUM: charge START/STOP, charge-limit, and charge-schedules move a physical charge relay or change charging behavior. They need --confirm naming the exact effect on first use per vehicle; reads and navigate need no confirmation.
  3. Per-brand capability differences are real: not every make supports every command (an ICE car has no charge endpoints; some brands lack remote unlock). If the API returns an incompatibility error, report it as a brand limitation rather than a bug.
  4. Keep telemetry polling modest; location and odometer reads are the ones users ask to repeat.
  5. Never exfiltrate the credential: the CLI only ever handles surrogates. Do not print, log, or transmit the token value.

Files

  • SKILL.md
  • bin/smartcar.py

Maturity

🧪 Draft: written from Smartcar's public API docs; not yet live-tested end-to-end.

Honesty flags: endpoint paths and payload shapes (/v2.0/vehicles, telemetry metrics, security, charge, charge-limit, navigation/destination, charge-schedules) are pinned in the official Smartcar API reference. Lock/unlock is HIGH and confirmation-gated on every call. The charge-schedules payload is model-dependent and untested here; validate the JSON against the Smartcar docs before first use on a real car.

© Anil-matcha, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in connectors/smartcar of Anil-matcha/awesome-muse-connectors.

  • SKILL.md
  • bin/smartcar.py

Open the folder on GitHubat commit d6dc5d8

Compare with similar skills

Smartcar next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Smartcar compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Smartcar this skillAnil-matcha/awesome-muse-connectors1.3k—~1.3kAutomated safety check: PassMIT
Brand Guidelinesalirezarezvani/claude-skills28k1 repos~1.3kAutomated safety check: PassMIT
ConnectComposioHQ/awesome-claude-skills77k3 repos~987Automated safety check: PassNone
Anthropic Brand Stylinganthropics/skills180k30 repos~559Automated safety check: PassApache-2.0
Brand Extractnexu-io/open-design100k—~3.1kAutomated safety check: PassApache-2.0
Brand Guidelinesnexu-io/open-design100k—~346Automated safety check: PassApache-2.0

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Questions about Smartcar

What does Smartcar do?

Read and control connected cars across brands through the Smartcar API: telemetry, lock/unlock, charge control, navigation. Smartcar is an agent skill from Anil-matcha/awesome-muse-connectors. Read and control connected cars across brands through the Smartcar API: telemetry, lock/unlock, charge control, navigation.

When should I use Smartcar?

Smartcar fits situations like: phrases: smartcar.

How do I install Smartcar in Claude Code?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill smartcar -a claude-code`. Or copy the skill folder (connectors/smartcar in Anil-matcha/awesome-muse-connectors) into .claude/skills/smartcar in your project. Claude Code loads it when a task matches its description.

How do I install Smartcar in Codex?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill smartcar -a codex`. Or copy the skill folder (connectors/smartcar in Anil-matcha/awesome-muse-connectors) into .agents/skills/smartcar in your project. Codex loads it when a task matches its description.

Can I use Smartcar in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Anil-matcha/awesome-muse-connectors --skill smartcar -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/smartcar, .gemini/skills/smartcar, .github/skills/smartcar and .opencode/skills/smartcar in your project.

What does Smartcar need to run?

Going by SKILL.md and its folder, Smartcar needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Smartcar access the network?

SKILL.md names 1 domain. In commands or code: api.smartcar.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Smartcar safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Smartcar use?

Smartcar is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Smartcar use?

About 1.3k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Smartcar?

Skills that share tags, products or a category with Smartcar: Brand Guidelines (alirezarezvani/claude-skills, 28k stars), Connect (ComposioHQ/awesome-claude-skills, 77k stars), Anthropic Brand Styling (anthropics/skills, 180k stars) and Brand Extract (nexu-io/open-design, 100k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Smartcar?

Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,346 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.

Source: Anil-matcha/awesome-muse-connectors on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.