convex/agent-skills

convex-sentinel

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

Voir la source

Mode d’emploi

  1. Copiez la commande et examinez le paquet avant de l’installer dans votre environnement agent.
  2. Consultez le document original pour les outils, identifiants et environnements requis.
  3. Décrivez les entrées et le livrable souhaité ; comparez la sortie aux sources.
npx skills add https://github.com/convex/agent-skills --skill convex-sentinel

Avant de commencer

  • L’installation n’inclut ni abonnement au modèle, ni quota API, ni accès aux fichiers.
  • Étoiles et installations reflètent l’activité, pas un test indépendant de qualité ou de sécurité.
Document Skill original

Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.

<!-- 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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