← 返回 Skills 市场
Tesla Fleet API
作者
Oliver Drobnik
· GitHub ↗
· v1.5.2
· MIT-0
3267
总下载
1
收藏
10
当前安装
16
版本数
在 OpenClaw 中安装
/install tesla-fleet-api
功能描述
Use when integrating with Tesla's official Fleet API to read vehicle/energy device data or issue remote commands (e.g. start HVAC preconditioning, wake vehic...
安全使用建议
This package appears to be a genuine Tesla Fleet API CLI. Before installing: (1) only provide TESLA_CLIENT_ID / TESLA_CLIENT_SECRET that you created for your own Tesla developer app; do not paste these into untrusted locations; (2) the tool asks you to generate and store an EC private key (private-key.pem) and will keep OAuth tokens in auth.json—store these files in a secure workspace and ensure file permissions are restrictive; (3) the signed-command proxy requires installing a Go binary from github.com/teslamotors — verify the exact version and source before running to reduce supply-chain risk; (4) confirm the Fleet/auth base URLs and domain names match official Tesla endpoints you expect (the repo uses fleet-auth.prd.vn.cloud.tesla.com / fleet-api.prd.* hosts); and (5) review SETUP.md and start_proxy.sh to ensure the workspace detection and file paths match where you want these secrets stored. If you are uncomfortable with storing keys/tokens in the detected workspace, run the scripts with an explicit --dir pointing to a secured directory.
功能分析
Type: OpenClaw Skill
Name: tesla-fleet-api
Version: 1.5.2
The tesla-fleet-api skill bundle is a legitimate implementation for interacting with the official Tesla Fleet API. It includes scripts for OAuth authentication (auth.py, tesla_oauth_local.py), vehicle data retrieval (vehicle_data.py), and command execution (command.py) using Tesla's recommended signing proxy architecture. Sensitive data such as OAuth tokens and client secrets are stored locally with restricted file permissions (0o600) and are only transmitted to official Tesla endpoints (e.g., fleet-auth.prd.vn.cloud.tesla.com). The bundle follows Tesla's official security model for third-party integration, including virtual key enrollment and signed commands via the tesla-http-proxy.
能力评估
Purpose & Capability
Name/description (Tesla Fleet API) match the requested binaries (python3, openssl) and required env vars (TESLA_CLIENT_ID, TESLA_CLIENT_SECRET). The included scripts implement OAuth flows, vehicle data reads, and signed command proxying as described.
Instruction Scope
SKILL.md and the scripts' logic stay on-topic: they read/write config.json/auth.json/vehicles.json/private-key.pem in a documented workspace, run a local callback server for OAuth, and call Tesla Fleet / auth endpoints. There are no instructions to read unrelated system secrets or to send data to unexpected external hosts.
Install Mechanism
This is instruction-only (no automated installer). The proxy requires installing a Go binary (github.com/teslamotors/vehicle-command/cmd/tesla-http-proxy) via 'go install' per SETUP.md — a normal step but a supply-chain consideration (you should pin/verify the proxy release before installing). No arbitrary remote archive downloads are performed by the skill itself.
Credentials
Only TESLA_CLIENT_ID and TESLA_CLIENT_SECRET are required; other env vars and files (access/refresh tokens, domain, private key) are optional or clearly documented. Requested credentials align with the described OAuth flows and proxy usage.
Persistence & Privilege
The skill does not request 'always: true' and does not modify other skills or global agent settings. It writes only its own state (config/auth/vehicles/places/proxy TLS) in the workspace; tokens and the private key are stored locally (scripts try to set private permissions).
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install tesla-fleet-api - 安装完成后，直接呼叫该 Skill 的名称或使用
/tesla-fleet-api触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.5.2
Direct Fleet API reads, automatic 401 refresh, clearer offline reporting, direct wake flow, and robust proxy path resolution.
v1.5.1
fix: use /Users/oliver/clawd for workspace root to preserve symlink paths
v1.5.0
- Dropped the Go runtime dependency; Go is no longer required to use the skill.
- Updated required environment variables and optional settings, removing obsolete entries related to signing proxy and public key.
- Improved documentation for setup, reflecting dependency changes.
- start_proxy.sh script and related requirements simplified due to proxy/signing changes.
- Version bumped to 1.5.0.
v1.4.2
**Changelog for tesla-fleet-api v1.4.2**
- Simplified environment requirements: no longer requires `bash` or `git` for basic operation.
- Removed `.env` file support; credentials are now loaded only from `config.json` or environment variables.
- Updated state directory layout and documentation in SETUP.md and SKILL.md.
- Refined scripts: removed `setup_proxy.sh`, added explicit `start_proxy.sh` and `stop_proxy.sh` for controlling the signing proxy.
v1.3.0
- Adds support for seat cooler (ventilated seat) commands.
- Implements `seat-climate` commands to control seat auto climate modes.
- Updates to precondition scheduling for more robust schedule parameters.
- Various code improvements and expanded option parsing across commands.
v1.2.0
Replace .env loading with config.json for provider creds (legacy .env fallback kept)
v1.1.9
Remove local-only calendar automation (school-precondition.sh) from published package; keep local copy outside skill.
v1.1.8
Mitigate supply-chain risk: setup_proxy uses pinned vehicle-command version via go install; document TESLA_VEHICLE_COMMAND_VERSION override.
v1.1.7
Default state dir is ~/.openclaw; update remaining docs/help strings (legacy ~/.moltbot noted).
v1.1.6
Prefer ~/.openclaw state dir (fallback to legacy ~/.moltbot). Update scripts + docs.
v1.1.5
Declare TESLA_PRIVATE_KEY + document proxy build (vehicle-command clone) and calendar access.
v1.1.4
Declare required env/bins + state dir; make proxy setup script non-installing (no automatic brew install)
v1.1.3
Docs: remove legacy migration note from SETUP.md.
v1.1.2
Docs: remove tesla_fleet.py from scripts overview table.
v1.1.1
Docs: move setup/config into SETUP.md; SKILL.md now references it.
v1.1.0
Split state: config.json/auth.json/vehicles.json/places.json; provider creds via .env; added places + vehicles commands.
元数据
常见问题
Tesla Fleet API 是什么？
Use when integrating with Tesla's official Fleet API to read vehicle/energy device data or issue remote commands (e.g. start HVAC preconditioning, wake vehic... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 3267 次。
如何安装 Tesla Fleet API？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tesla-fleet-api」即可一键安装，无需额外配置。
Tesla Fleet API 是免费的吗？
是的，Tesla Fleet API 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Tesla Fleet API 支持哪些平台？
Tesla Fleet API 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Tesla Fleet API？
由 Oliver Drobnik（@odrobnik）开发并维护，当前版本 v1.5.2。
推荐 Skills