Agent Skill · OpenAI

sentry

Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry CLI; perform read-only queries using the `sentry` command.

Provider: OpenAI Path in repo: skills/.curated/sentry/SKILL.md

Skill body

Sentry (Read-only Observability)

Quick start

If the CLI is not installed, give the user these steps:

  1. Install the Sentry CLI: curl https://cli.sentry.dev/install -fsS | bash
  2. Authenticate: sentry auth login
  3. Confirm authentication: sentry auth status
    • Never ask the user to paste the full token in chat. Ask them to set it locally and confirm when ready.

Core tasks (use Sentry CLI)

Use the sentry CLI for all queries. It handles authentication, org/project detection, pagination, and retries automatically. Use --json for machine-readable output.

1) List issues (ordered by most recent)

sentry issue list \
  --query "is:unresolved environment:production" \
  --period 24h \
  --limit 20 \
  --json --fields shortId,title,priority,level,status

If auto-detection doesn’t resolve org/project, pass them explicitly:

sentry issue list {your-org}/{your-project} \
  --query "is:unresolved environment:production" \
  --period 24h \
  --limit 20 \
  --json

2) Resolve an issue short ID to issue detail

sentry issue view {ABC-123} --json

Use the short ID format (e.g., ABC-123), not the numeric ID.

3) Issue detail

sentry issue view {ABC-123}

4) Issue events

sentry issue events {ABC-123} --limit 20 --json

5) Event detail

sentry event view {your-org}/{your-project}/{event_id} --json

6) AI-powered root cause analysis

sentry issue explain {ABC-123}

7) AI-powered fix plan

sentry issue plan {ABC-123}

Fallback: arbitrary API access

For endpoints not covered by dedicated CLI commands, use sentry api:

sentry api /api/0/organizations/{your-org}/ --method GET

Use sentry schema to discover available API endpoints:

sentry schema issues

Inputs and defaults

Output formatting rules

Golden test inputs

Example prompt: “List the top 10 open issues for prod in the last 24h.” Expected: ordered list with titles, short IDs, counts, last seen.