sentry
उपयोग तब करें जब उपयोगकर्ता Sentry समस्याओं या घटनाओं का निरीक्षण करने, हाल के उत्पादन त्रुटियों का सारांश प्रस्तुत करने, या Sentry API के माध्यम से बुनियादी Sentry स्वास्थ्य डेटा प्राप्त करने के लिए कहे; प्रदर्शन करें…
npx skills add https://github.com/openai/plugins --skill sentrySentry (Read-only Observability)
Quick start
- If not already authenticated, ask the user to provide a valid
SENTRY_AUTH_TOKEN(read-only scopes such asproject:read,event:read) or to log in and create one before running commands. - Set
SENTRY_AUTH_TOKENas an env var. - Optional defaults:
SENTRY_ORG,SENTRY_PROJECT,SENTRY_BASE_URL. - Defaults: org/project
{your-org}/{your-project}, time range24h, environmentprod, limit 20 (max 50). - Always call the Sentry API (no heuristics, no caching).
If the token is missing, give the user these steps:
- Create a Sentry auth token: https://sentry.io/settings/account/api/auth-tokens/
- Create a token with read-only scopes such as
project:read,event:read, andorg:read. - Set
SENTRY_AUTH_TOKENas an environment variable in their system. - 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: default24h(pass asstatsPeriodfor list issues and issue events).environment: defaultprod(used by list issues and issue events).limit: default 20, max 50 (paginate until limit reached).search_query: optionalqueryparameter.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.