# 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`.

- Skill: `lidge-jun/sentry` (Agent Skill)
- Install (CLI): `npx skillmds@latest add lidge-jun/sentry`
- Raw SKILL.md: https://api.skillmd.com/api/skills/lidge-jun/sentry/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: lidge-jun (https://skillmd.com/u/lidge-jun)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/lidge-jun/sentry

---



# Sentry (Read-only Observability)

## Quick start

- Requires `SENTRY_AUTH_TOKEN` env var (read-only scopes: `project:read`, `event:read`, `org:read`).
- If missing, direct user to https://sentry.io/settings/account/api/auth-tokens/ — set as env var locally (never paste in chat).
- Optional env vars: `SENTRY_ORG`, `SENTRY_PROJECT`, `SENTRY_BASE_URL`.
- Defaults: time range `24h`, environment `prod`, limit 20 (max 50).
- Always call the Sentry API directly (no heuristics, no caching).

## 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)

```bash
export CODEX_HOME="${CODEX_HOME:-$HOME/.codex}"
export SENTRY_API="$CODEX_HOME/skills/sentry/scripts/sentry_api.py"
```

### 1) List issues (ordered by most recent)

```bash
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

```bash
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

```bash
python3 "$SENTRY_API" \
  issue-detail \
  1234567890
```

### 4) Issue events

```bash
python3 "$SENTRY_API" \
  issue-events \
  1234567890 \
  --limit 20
```

### 5) Event detail (no stack traces by default)

```bash
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`: default `24h` (pass as `statsPeriod`).
- `environment`: default `prod`.
- `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.