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 API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`.
Install
mkdir -p .claude/skills/sentry && curl -L -o skill.zip "https://mcp.directory/api/skills/download/600" && unzip -o skill.zip -d .claude/skills/sentry && rm skill.zipInstalls to .claude/skills/sentry
About this skill
Sentry (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.
Skill path (set once)
export CODEX_HOME="${CODEX_HOME:-$HOME/.codex}"
export SENTRY_API="$CODEX_HOME/skills/sentry/scripts/sentry_api.py"
User-scoped skills install under $CODEX_HOME/skills (default: ~/.codex/skills).
1) List issues (ordered by most recent)
python3 "$SENTRY_API" \
list-issues \
--org {your-org} \
--project {your-project} \
--environment prod \
--time-range 24h \
--limit 20 \
--query "is:unresolved"
2) Resolve an issue short ID to issue ID
python3 "$SENTRY_API" \
list-issues \
--org {your-org} \
--project {your-project} \
--query "ABC-123" \
--limit 1
Use the returned id for issue detail or events.
3) Issue detail
python3 "$SENTRY_API" \
issue-detail \
1234567890
4) Issue events
python3 "$SENTRY_API" \
issue-events \
1234567890 \
--limit 20
5) Event detail (no stack traces by default)
python3 "$SENTRY_API" \
event-detail \
--org {your-org} \
--project {your-project} \
abcdef1234567890
API requirements
Always use these endpoints (GET only):
- List issues:
/api/0/projects/{org_slug}/{project_slug}/issues/ - Issue detail:
/api/0/issues/{issue_id}/ - Events for issue:
/api/0/issues/{issue_id}/events/ - Event detail:
/api/0/projects/{org_slug}/{project_slug}/events/{event_id}/
Inputs and defaults
org_slug,project_slug: default to{your-org}/{your-project}(avoid non-prod orgs).time_range: default24h(pass asstatsPeriod).environment: defaultprod.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.
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