get-convex/agent-skills

convex-sentinel

Set up Sentinel production error capture in your own Convex deployment.

Ver código fuente

Cómo usar

  1. Copia el comando y revisa el paquete antes de instalarlo en tu entorno de agente.
  2. Consulta las herramientas, credenciales y entornos necesarios en el documento original.
  3. Describe las entradas y el resultado deseado; contrasta la salida con las fuentes.
npx skills add https://github.com/get-convex/agent-skills --skill convex-sentinel

Antes de empezar

  • La instalación no incluye suscripción al modelo, cuota API ni permisos sobre tus archivos.
  • Las estrellas e instalaciones reflejan actividad, no una prueba independiente de calidad o seguridad.
Documento original del Skill

Contenido del repositorio de origen con títulos, ejemplos, código, tablas, enlaces e imágenes preservados.

<!-- GENERATED from convex-agents content/capabilities/sentinel.json — do not edit by hand. -->

Capture production errors in your own deployment

Install @convex-dev/sentinel to capture production errors (server function failures, client JS/React crashes, OCC and scale signals) into a table in the user's OWN deployment, redacted at write time, then react to new ones. Data never leaves the user's deployment.

Workflow

  1. Install the component: app.use(sentinel) in convex/convex.config.ts.
  2. Wire the client SDK: a React error boundary plus window.onerror/unhandledrejection and breadcrumbs.
  3. Redaction runs at write time and is on by default (default-deny on secret key names and value patterns).
  4. Read recent errors with the Convex CLI (convex data, run-once-query); react to new ones via the monitor's prod_error event.
  5. Optionally enable the self-healing cron: triage classifies each error and, for recurring non-transient ones, hands it to ai-runner to open a fix PR.

Rules

  • Redaction is mandatory and on by default — never store raw secrets; the agent's reads reach the model provider.
  • Data stays in the user's deployment; never send it to a third party.
  • Sample and cap to control volume and cost.
  • Capturing PROD errors needs a deployed cloud app; install works anonymously.
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