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tonakic

Wake On Lan

by tonakic · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ Security Clean
193
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Install in OpenClaw
/install wake-on-lan
Description
Send Wake on LAN (WOL) magic packets to remotely wake up computers and network devices. Use when the user wants to wake, turn on, or power on a remote device...
Usage Guidance
This skill appears coherent and limited to Wake-on-LAN behavior. Notes before installing: (1) The code will write/update references/devices.json in the skill bundle directory — review that file before adding sensitive entries. (2) The script uses UDP broadcasts (may be blocked by routers/firewalls) and will invoke the system ping command to check host availability; ping flags used are Unix-style and may behave differently on Windows. (3) The skill does not request credentials or contact external servers; because the source/homepage is unknown, you can inspect the included scripts/wake.py directly (it's small and readable) before use. If you need cross-platform ping behavior or different broadcast behavior, review/adjust the script accordingly.
Capability Assessment
Purpose & Capability
Name/description (send WOL magic packets) match the included script and SKILL.md. The script sends WOL packets, optionally pings a configured IP to wait for boot, and reads/writes a local references/devices.json for device configs — all expected for this functionality.
Instruction Scope
SKILL.md simply documents running the provided script and how to manage devices. The runtime instructions do not ask the agent to read unrelated files or secrets, nor to transmit data to external services. The only file access is the local references/devices.json used for device storage, which is consistent with the feature.
Install Mechanism
No install spec is present and the skill ships a small Python script — nothing is downloaded or installed by the skill itself. This is low-risk and proportional to the task.
Credentials
The skill requires no environment variables, credentials, or external config paths. It uses network sockets for local UDP broadcast (required) and subprocess to call the system ping utility (used only to detect device availability); these are proportional to the stated purpose.
Persistence & Privilege
always is false and model invocation is not disabled (normal). The skill only writes to its own references/devices.json file and does not attempt to modify other skills or system-wide agent settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install wake-on-lan
  3. After installation, invoke the skill by name or use /wake-on-lan
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Added wait-for-device feature with ping detection. Added Chinese/English documentation.
v1.0.0
- Initial release of the wake-on-lan skill. - Send Wake on LAN (WOL) magic packets to wake computers and network devices remotely. - Supports waking devices by MAC address or pre-configured name. - Allows specifying custom broadcast IP address and UDP port. - Includes device management: add, list, and wake saved devices. - Troubleshooting tips and usage instructions provided in documentation.
Metadata
Slug wake-on-lan
Version 1.0.1
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 2
Frequently Asked Questions

What is Wake On Lan?

Send Wake on LAN (WOL) magic packets to remotely wake up computers and network devices. Use when the user wants to wake, turn on, or power on a remote device... It is an AI Agent Skill for Claude Code / OpenClaw, with 193 downloads so far.

How do I install Wake On Lan?

Run "/install wake-on-lan" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Wake On Lan free?

Yes, Wake On Lan is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Wake On Lan support?

Wake On Lan is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Wake On Lan?

It is built and maintained by tonakic (@tonakic); the current version is v1.0.1.

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