A comprehensive bridge between natural language and Prometheus-compatible metrics servers for real-time monitoring and incident triage.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install prom-query
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 prom-query using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
prom-query is a specialized tool designed to integrate seamlessly with Openclaw Skills, enabling developers and SREs to interact with Prometheus-compatible metrics servers using natural language. It supports querying metrics, interpreting complex timeseries data, and triaging alerts across platforms like Prometheus, Thanos, Mimir, and VictoriaMetrics through a unified HTTP API.
By translating user intent into precise PromQL, this skill simplifies observability tasks and provides actionable insights into system health without requiring the user to be an expert in query syntax. It is an essential component for any automated monitoring workflow powered by Openclaw Skills, ensuring that infrastructure data is always accessible and interpretable.
To integrate this skill into your workflow, ensure the following environment variables are configured. This setup allows Openclaw Skills to securely communicate with your metrics provider.
export PROMETHEUS_URL="https://your-prometheus-instance.com"
# Optional: Set a bearer token for authenticated instances
export PROMETHEUS_TOKEN="your-access-token"
The prom-query skill interacts with the Prometheus HTTP API and returns structured metrics data optimized for agent interpretation. Data is organized as follows:
| Field | Description |
|---|---|
min / max / avg |
Statistical summaries of all values within the retrieved timeseries. |
first / last |
The start and end values of the range, used to identify growth or decline trends. |
pointCount |
The total number of data points returned in the query result. |
downsampled |
A boolean flag indicating if the step was increased to limit data volume for better performance. |
activeAt |
Timestamp for alerts indicating when the firing state began. |
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