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Sentry

Skill Pyfagorass/bookofspells/skills/openai/sentry

📖 The Book of Spells: a curated, enchanted index of real LLM tooling — and a pipeline that gathers SKILL.md skills from many houses into one searchable shelf.

Install
npx -y skills add Pyfagorass/bookofspells --skill sentry

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What its author says it does

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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.

SKILL.md

3.7 KB, as published. Nobody here has run it

Sentry (Read-only Observability)

Quick start

  • If not already authenticated, ask the user to run sentry auth login or set SENTRY_AUTH_TOKEN as an env var.
  • The CLI auto-detects org/project from DSNs in .env files, source code, config defaults, and directory names. Only specify <org>/<project> if auto-detection fails or picks the wrong target.
  • Defaults: time range 24h, environment production, limit 20.
  • Always use --json when processing output programmatically. Use --json --fields to select specific fields and reduce output size.
  • Use sentry schema <resource> to discover API endpoints quickly.

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

  • org_slug, project_slug: auto-detected by the CLI from DSNs, env vars, and directory names. Override with positional {your-org}/{your-project} if auto-detection fails.
  • time_range: default 24h (pass as --period 24h).
  • environment: default prod (pass as part of --query, e.g., environment:production).
  • limit: default 20 (pass as --limit).
  • search_query: optional --query parameter, uses Sentry search syntax (e.g., is:unresolved, assigned:me).
  • issue_short_id: use directly with sentry issue view.

Output formatting rules

  • Issue list: show title, short_id, status, first_seen, last_seen, count, environments, top_tags; order by most recent.
  • Event detail: include culprit, timestamp, environment, release, url.
  • If no results, state explicitly.
  • Redact PII in output (emails, IPs). Do not print raw stack traces.
  • Never echo auth tokens.

Golden test inputs

  • Org: {your-org}
  • Project: {your-project}
  • Issue short ID: {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.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.