sentry

作者: openai

当用户要求检查Sentry问题或事件、总结近期生产错误、或通过Sentry API拉取基本Sentry健康数据时使用;执行…

npx skills add https://github.com/openai/plugins --skill sentry

Sentry (Read-only Observability)

Quick start

  • 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.
  • Set SENTRY_AUTH_TOKEN as an env var.
  • Optional defaults: SENTRY_ORG, SENTRY_PROJECT, SENTRY_BASE_URL.
  • Defaults: org/project {your-org}/{your-project}, time range 24h, environment prod, limit 20 (max 50).
  • Always call the Sentry API (no heuristics, no caching).

If the token is missing, give the user these steps:

  1. Create a Sentry auth token: https://sentry.io/settings/account/api/auth-tokens/
  2. Create a token with read-only scopes such as project:read, event:read, and org:read.
  3. Set SENTRY_AUTH_TOKEN as an environment variable in their system.
  4. Offer to guide them through setting the environment variable for their OS/shell if needed.
  • Never ask the user to paste the full token in chat. Ask them to set it locally and confirm when ready.

Core tasks (use bundled script)

Use scripts/sentry_api.py for deterministic API calls. It handles pagination and retries once on transient errors.

Bundled script path

export SENTRY_API="plugins/sentry/skills/sentry/scripts/sentry_api.py"

If you are running from an installed plugin copy instead of this repo checkout, use the same skills/sentry/scripts/sentry_api.py path inside the installed plugin directory.

1) List issues (ordered by most recent)

python3 "$SENTRY_API" \
  --org {your-org} \
  --project {your-project} \
  list-issues \
  --environment prod \
  --time-range 24h \
  --limit 20 \
  --query "is:unresolved"

2) Resolve an issue short ID to issue ID

python3 "$SENTRY_API" \
  --org {your-org} \
  --project {your-project} \
  list-issues \
  --query "ABC-123" \
  --limit 1

Use the returned id for issue detail or events.

3) Issue detail

python3 "$SENTRY_API" \
  --org {your-org} \
  issue-detail \
  1234567890

4) Issue events

python3 "$SENTRY_API" \
  --org {your-org} \
  issue-events \
  1234567890 \
  --environment prod \
  --time-range 24h \
  --limit 20

5) Event detail (no stack traces by default)

python3 "$SENTRY_API" \
  --org {your-org} \
  --project {your-project} \
  event-detail \
  abcdef1234567890

API requirements

Always use these endpoints (GET only):

  • List issues: /api/0/projects/{org_slug}/{project_slug}/issues/
  • Issue detail: /api/0/organizations/{org_slug}/issues/{issue_id}/
  • Events for issue: /api/0/organizations/{org_slug}/issues/{issue_id}/events/
  • Event detail: /api/0/projects/{org_slug}/{project_slug}/events/{event_id}/

Inputs and defaults

  • org_slug: default to {your-org} (required for issue detail, issue events, and event detail).
  • project_slug: default to {your-project} (required for list issues and event detail).
  • time_range: default 24h (pass as statsPeriod for list issues and issue events).
  • environment: default prod (used by list issues and issue events).
  • limit: default 20, max 50 (paginate until limit reached).
  • search_query: optional query parameter.
  • issue_short_id: resolve via list-issues query first.

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.

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