Deploy a standalone Grafana, Prometheus, Loki, and Promtail observability stack for HAL.
npx skills add https://github.com/hashimiche/hal --skill obs
Please help me install this Agent Skill. Skill: obs Source: https://github.com/hashimiche/hal/tree/main/internal/skills/data/obs Command: npx skills add https://github.com/hashimiche/hal --skill obs
HAL observability stack deployment and health monitoring for HAL products, enabling quick visibility into metrics, logs, and dashboards.
Start the observability stack for HAL by running the hal obs create command to deploy the stack and then confirm readiness with hal obs status.
High-intent search queries and answers about installing and using this skill.
To deploy the observability stack for HAL, run the `hal obs create` command to provision Grafana, Prometheus, Loki, and Promtail, then use `hal obs status` to verify readiness.
You need Docker or Podman installed, along with preexisting HAL lab prerequisites, to provision the standalone observability stack and validate telemetry across product deployments.
Telemetry validation works by provisioning the standalone Grafana, Prometheus, Loki, and Promtail stack, wiring dashboards into HAL products, and running health checks to monitor telemetry during lab runs.
Yes, you can use Podman instead of Docker to deploy the HAL observability stack, as both container runtimes are fully supported for installing, verifying, updating, and tearing down the monitoring components.
The best way to monitor health during HAL lab runs is using the `hal obs` commands to deploy the observability stack, which provisions Grafana, Prometheus, and Loki to wire dashboards and monitor product health.
To teardown or update the HAL observability stack after a lab run, use the respective `hal obs teardown` and `hal obs update` commands to cleanly manage the Grafana and Prometheus container lifecycle.
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