A powerful AI agent integration for managing Tailscale mesh networks and device connectivity through the native CLI.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tailscale-orchestrator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install tailscale-orchestrator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Tailscale Network Orchestrator?
The Tailscale Network Orchestrator is a specialized skill designed to bridge the gap between AI automation and secure networking. By leveraging the host machine's native Tailscale CLI, this skill enables users to monitor their Tailscale network status and list connected devices without the need for complex API key management. It provides a secure, direct interface for managing private mesh VPNs within an AI-driven workflow.
Built for developers and sysadmins, this Openclaw Skills integration ensures that network visibility is always available at your fingertips. Whether you are troubleshooting connection states or verifying node availability, the orchestrator streamlines your network management tasks through simple natural language triggers or direct commands.
Tailscale Network Orchestrator Use Cases
- Monitoring the connectivity status of your Tailscale mesh network.
- Listing all active and inactive devices within your tailnet along with their IP addresses.
- Verifying that local nodes are properly authenticated and connected to the control server.
- Integrating network health checks into broader automated DevOps workflows.
How Tailscale Network Orchestrator Works
- The AI agent receives a trigger command such as "tailscale status" or "list tailscale devices".
- The skill executes the corresponding Python script on the host machine.
- The Python script interacts with the local tailscale CLI to fetch real-time data from the tailnet.
- The output is parsed and formatted for clear presentation within the AI agent's interface.
- Users receive a summarized report of the network's current state or a detailed list of device nodes.
Tailscale Network Orchestrator Setup
First, ensure you have the Tailscale CLI installed and authenticated on your host machine. Then, add this Openclaw Skills package to your configuration.
# Install Tailscale CLI (if not present)
curl -fsSL https://tailscale.com/install.sh | sh
# Authenticate Tailscale
sudo tailscale up
# Verify installation
tailscale version
Tailscale Network Orchestrator Data Schema & Taxonomy
The skill organizes data retrieved from the Tailscale CLI into structured views. It primarily manages node and connection metadata as shown below:
| Data Field | Description |
|---|---|
| status | Current connection state (e.g., active, offline) |
| device_name | The hostname assigned within the Tailscale network |
| ip_address | The unique Tailscale IPv4/IPv6 addresses for the node |
| node_id | The internal identifier for the specific device in the tailnet |
Tailscale Network Orchestrator Advanced Features
- Direct CLI Passthrough: Utilizes the host's existing authentication, removing the need for separate API token management.
- Multi-Node Monitoring: Capability to list all devices across a complex mesh network with a single command.
- Real-time Status Reporting: Provides instant feedback on connection states and active nodes within the Openclaw Skills ecosystem.
- Secure Execution: Operates locally within the user's environment to maintain data privacy and security.
SKILL.md
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