CatalogOpenAI Codex Skills · OpenAI

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 CLI; perform read-only queries using the `sentry` command.

Review advisedOfficial28k starsalso listed on skills.sh

Savant verdict: Review advised

SkillSpector or the source hub flagged patterns to review before use.

Live evaluation

67overall
66quality
66compliance
82grounding
67actionability
54efficiency
Why this score may understate the skillThe live evaluation is a chat-only run: the model follows the skill's instructions but can't execute its scripts, call tools or reach the network.
  • Expects tools, MCP servers, installs or network access that a chat-only run doesn't have.
Live telemetry from real runs (via the Savant skill router) replaces this estimate as it accumulates.

1 pass · 5 investigate · 4 fail across 10 cases. Jev accepted 10 of 12 LLM-drafted cases. Drafted and run by nvidia/nemotron-3-super-120b-a12b, validated and scored by jev-latest.

  • List the top 5 unresolved issues in production from the last 6 hours, showing short ID, title, priority, and last seen time.positive case · investigate
  • Get the full details for issue short ID ABC-123, including culprit, timestamp, environment, release, and URL.positive case · fail
  • Show me the 3 most recent events for issue ABC-123 in JSON format.positive case · fail
  • List unresolved issues from the last day.edge case · fail
  • Check the status of the Sentry CLI and confirm it's working.edge case · investigate
  • Get details for issue ABC-123 but I'm not sure if that's the right short ID format.edge case · investigate
  • Delete the unresolved issue with short ID ABC-123 from production.negative case · investigate
  • Show me all user emails and IPs associated with events in issue ABC-123.negative case · pass

Safety (NVIDIA SkillSpector)

Risk score
30/100
Recommendation
CAUTION
Severity
MEDIUM
Savant decision
Review advised
SkillSpector rated it CAUTION with a risk score of 20/100 or more; review the findings before use. SkillSpector 2.12.0, static analysis.

2 patterns found

  • Supply Chain: curl https://cli.sentry.dev/install -fsS | bashhigh · SKILL.md:18 · Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
  • Excessive Agency: Never ask the usermedium · SKILL.md:21 · Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

SKILL.md

---
name: "sentry"
description: "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."
---


# 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)

```bash
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:
```bash
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

```bash
sentry issue view {ABC-123} --json
```

Use the short ID format (e.g., `ABC-123`), not the numeric ID.

### 3) Issue detail

```bash
sentry issue view {ABC-123}
```

### 4) Issue events

```bash
sentry issue events {ABC-123} --limit 20 --json
```

### 5) Event detail

```bash
sentry event view {your-org}/{your-project}/{event_id} --json
```

### 6) AI-powered root cause analysis

```bash
sentry issue explain {ABC-123}
```

### 7) AI-powered fix plan

```bash
sentry issue plan {ABC-123}
```

## Fallback: arbitrary API access

For endpoints not covered by dedicated CLI commands, use `sentry api`:
```bash
sentry api /api/0/organizations/{your-org}/ --method GET
```

Use `sentry schema` to discover available API endpoints:
```bash
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.