A comprehensive Node.js client and CLI for querying, analyzing, and exporting energy data from iammeter devices via official APIs.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install iammeter-openclaw-skill
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 iammeter-openclaw-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The iammeter skill is a powerful tool designed for developers and energy enthusiasts who need programmatic access to their iammeter hardware. It facilitates seamless communication with the iammeter API, allowing users to fetch real-time metrics, audit historical energy usage, and perform sophisticated power analysis. By integrating this into the Openclaw Skills ecosystem, users can automate energy monitoring tasks and unify their smart home or industrial IoT data streams.
Built on the official Swagger specification, this skill ensures reliable data retrieval from various endpoints. Whether you are building a custom dashboard or automating reports, this skill provides the necessary scaffolding to interact with iammeter sites and meters without manual API management.
To use this skill within your Openclaw Skills environment, follow these steps:
export IAMMETER_TOKEN="your_iammeter_api_key"
cd ~/.openclaw/workspace/skills/iammeter
npm install
node scripts/cli.js sitelist
The skill organizes energy data and metadata into the following structures:
| Data Type | Source | Description |
|---|---|---|
| Site Metadata | sitelist | Array of site IDs, locations, and site-specific configurations. |
| Real-time Metrics | metersdata | Instantaneous power, voltage, and current readings for all active meters. |
| Historical Data | energyhistory | Time-series energy consumption and generation data, exportable to CSV. |
| Analysis Reports | power/offline | Diagnostic data regarding power quality and device uptime status. |
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