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Openai Sentry

ASecurity

Use when the user asks to inspect Sentry issues or events, summarize recent production errors,

2 stars
0 votes
0 copies
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Added 9/22/2026
developmentgoshellbashapi

Works with

api

Security Analysis

A100/100

Scanned 9/22/2026

Install to Claude Code

$npx -y skills add seikaikyo/dash-skills --skill openai-sentry --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.md
---
name: openai-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`. Originally from OpenAI's curated skills catalog.
allowed-tools:
- Bash
- Read
- Grep
- Glob
- Write
- Edit
---

# 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.

Scripts and references are located under `{baseDir}/`.

## 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.

## When to Use

<!-- TODO: review -->

## When NOT to Use

<!-- TODO: review -->

Attribution

seikaikyoseikaikyo
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