From openai-sentry
Queries Sentry API to list issues, inspect events, and summarize production errors using bundled Python script. Requires SENTRY_AUTH_TOKEN for read-only access.
How this skill is triggered — by the user, by Claude, or both
Slash command
/openai-sentry:openai-sentryThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
- If not already authenticated, ask the user to provide a valid `SENTRY_AUTH_TOKEN` (read-only scopes such as `project:read`, `event:read`) or to log in and create one before running commands.
SENTRY_AUTH_TOKEN (read-only scopes such as project:read, event:read) or to log in and create one before running commands.SENTRY_AUTH_TOKEN as an env var.SENTRY_ORG, SENTRY_PROJECT, SENTRY_BASE_URL.{your-org}/{your-project}, time range 24h, environment prod, limit 20 (max 50).If the token is missing, give the user these steps:
project:read, event:read, and org:read.SENTRY_AUTH_TOKEN as an environment variable in their system.Use scripts/sentry_api.py for deterministic API calls. It handles pagination and retries once on transient errors.
Scripts and references are located under {baseDir}/.
Always use these endpoints (GET only):
/api/0/projects/{org_slug}/{project_slug}/issues//api/0/issues/{issue_id}//api/0/issues/{issue_id}/events//api/0/projects/{org_slug}/{project_slug}/events/{event_id}/org_slug, project_slug: default to {your-org}/{your-project} (avoid non-prod orgs).time_range: default 24h (pass as statsPeriod).environment: default prod.limit: default 20, max 50 (paginate until limit reached).search_query: optional query parameter.issue_short_id: resolve via list-issues query first.{your-org}{your-project}{ABC-123}Example prompt: “List the top 10 open issues for prod in the last 24h.” Expected: ordered list with titles, short IDs, counts, last seen.
npx claudepluginhub trailofbits/skills-curated --plugin openai-sentryInspects Sentry issues, events, and health data via the Sentry CLI. Summarizes production errors, runs AI root cause analysis and fix plans. Read-only queries for debugging.
Queries Sentry errors, triages issues, and checks release health via REST API. Useful for debugging exceptions, investigating crashes, stack traces, and monitoring stability.
Execute incident response procedures using Sentry error monitoring. Classify severity, triage production outages, and build postmortem reports from Sentry data.