Shepard System
Official@shepard-system · Remote
Self-hosted observability and governance for AI coding agents.
Agent Skills by Shepard System
Showing 6 vetted skills indexed across 1 GitHub repositories.
shepard-systemobs-tools
Analyze AI tool invocation metrics from Prometheus data over 24 hours.
shepard-systemobs-sessions
Retrieve recent AI coding sessions with provider, model, duration, and cost.
shepard-systemobs-status
Check operational status of Grafana, Loki, Prometheus, Alertmanager, and Tempo services.
shepard-systemobs-alerts
Retrieve active alerts, silences, and Prometheus rule states via Alertmanager and Prometheus APIs.
shepard-systemobs-cost
Monitor AI coding assistant costs and token usage across providers.
shepard-systemobs-query
Execute PromQL and LogQL queries against Prometheus and Loki.
Frequently Asked Questions About Shepard System
FAQPage SchemaWhat specific tasks can I perform with Shepard System?▼
You can monitor coding assistant token usage, track session costs, analyze invocation metrics over 24-hour windows, and verify the operational status of your monitoring stack. It enables granular oversight of coding assistant performance and resource consumption through direct integration with Prometheus and Loki data sources.
Who is the target persona for this observability platform?▼
The platform is designed for DevOps engineers, site reliability engineers, and technical leads responsible for governing coding assistant deployments. It serves teams requiring self-hosted visibility into the performance, cost, and health of their internal development environments and associated infrastructure services.
What are the prerequisites for running Shepard System?▼
Deployment requires an existing monitoring stack consisting of Prometheus, Loki, Grafana, Alertmanager, and Tempo. Users must have operational access to these services to retrieve metrics, execute queries, and monitor alert states effectively within their self-hosted environment.