A powerful utility for capturing and parsing deep hardware telemetry from Apple Silicon SoCs via the mactop CLI.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mactop
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install mactop using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The mactop skill is a specialized diagnostic tool designed for Apple Silicon Macs. It leverages the mactop utility in headless mode to extract high-fidelity hardware data, including power consumption, thermal states, and component utilization. By utilizing the TOON format, this skill enables AI agents to provide precise real-time system snapshots, making it an essential component of the Openclaw Skills ecosystem for macOS power users and developers.
This skill is particularly valuable for users who need to monitor the efficiency of M-series chips without a GUI. It provides granular details that standard system monitors often miss, such as specific GPU power draw and Thunderbolt bus activity, all through a clean interface integrated into Openclaw Skills.
To use this skill with Openclaw Skills, ensure mactop is installed and your path is configured correctly:
# Install mactop via Homebrew
brew install mactop
# Ensure /usr/sbin is in your PATH for sysctl access
export PATH="$PATH:/usr/sbin"
The skill organizes hardware telemetry into several logical groups. The TOON format ensures data is easily accessible via simple grep or awk commands:
| Category | Metric | Description |
|---|---|---|
| SoC Metrics | CPUPower, SocTemp | Real-time wattage and temperature of the chip |
| Memory | Used, Total | RAM utilization in bytes |
| Usage | cpu_usage, gpu_usage | Load percentage for the processor and graphics cores |
| System Info | Name, CoreCount | Identification of the specific chip (e.g., Apple M4 Pro) |
| Network | InBytesPerSec | Real-time throughput data |
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