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skill CX Codex GP ChatGPT official · OpenAI

sentry — Codex skill: what it does, how to install

This skill queries Sentry in read-only mode to inspect issues, events, and basic health data. Use it when checking recent production errors.

Install into Codex · Skills CLI (Vercel) All methods and platforms ↓
npx skills add openai/plugins --skill sentry -a codex
Open on GitHub

What sentry does

sentry uses the Sentry API to list issues, inspect issue details and events, and retrieve a specific event. Requests are read-only and always sent to the API. You can filter issues by environment, time range, and search query, while results are ordered by most recent activity.

The skill includes scripts/sentry_api.py, which makes the API calls, handles pagination, and retries once after a transient error. Set SENTRY_AUTH_TOKEN with read-only scopes such as project:read and event:read. Optional variables include SENTRY_ORG, SENTRY_PROJECT, and SENTRY_BASE_URL.

Install it when an agent needs to inspect Sentry data without changing issues or project settings. It is the wrong fit for write operations.

What it helps with

  • find recent unresolved issues in production
  • look up an issue by its short ID
  • inspect events linked to an issue
  • summarize errors for a selected time range
  • retrieve event details without stack traces

Example prompts for the agent

  • List 10 open issues for prod in the last 24h.
  • Find the issue with short ID `ABC-123` and show its details.
  • Get events for issue `1234567890` from the `prod` environment over `24h`.

How to install sentry

1Skills CLI (Vercel)

npx skills add openai/plugins --skill sentry -a codex

2Manually: put the files in place

.agents/skills/sentry/SKILL.md

For all projects use ~/.agents/skills/

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Questions about sentry

How do I install sentry in Codex?

Run npx skills add openai/plugins --skill sentry -a codex. The skill file is placed at .agents/skills/sentry/SKILL.md.

What does sentry do?

It runs read-only Sentry API queries for issues, events, and event details, then presents fields such as status, timestamps, environment, release, and URL.

What does sentry require to work?

Set SENTRY_AUTH_TOKEN with read-only scopes such as project:read and event:read. Requests can also use SENTRY_ORG and SENTRY_PROJECT.

Source text

SKILL.md · Apache-2.0
---
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 API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`."
---


# 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

```bash
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)

```bash
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

```bash
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

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

### 4) Issue events

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

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

```bash
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.

© OpenAI · Apache-2.0 · openai/plugins

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