sentry

Query Sentry API for issues, events, and issue details with filters.

5|Updated Feb 26, 2026
One-click install
npx skills add https://github.com/lidge-jun/cli-jaw-skills --skill sentry-lidge-jun
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sentry
Source: https://github.com/lidge-jun/cli-jaw-skills/tree/main/sentry
Command: npx skills add https://github.com/lidge-jun/cli-jaw-skills --skill sentry-lidge-jun

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires sentry_api.py, and includes scripts (resource) components.

What problem does it solve?

This Skill helps you quickly inspect Sentry issues and events, summarize recent production errors, and pull basic Sentry health data without leaving your command line.

Core Features & Use Cases

  • List Issues: View recent unresolved production errors.
  • Issue Details: Get specific information about a particular issue.
  • Event Details: Examine the details of specific error events.
  • Use Case: Quickly check for new critical errors in production after a recent deployment by listing unresolved issues.

Quick Start

Use the sentry skill to list the top 10 open issues for prod in the last 24h.

Frequently Asked Questions about sentry

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I list unresolved Sentry production errors from the last 24 hours?

To list unresolved Sentry production errors, you filter issues by organization, project, environment, and time range, then configure retrieval limits. This read-only query returns recent production issues without leaving your command line.

Can I query Sentry API for specific issue details and event data?

You can query the Sentry API to retrieve specific issue details and examine specific error events. The script fetches read-only observability data deterministically, providing isolated information for targeted debugging.

Do I need an auth token to inspect Sentry events via the API?

You need a SENTRY_AUTH_TOKEN for authentication to inspect Sentry events via the API. The bundled Python script requires this token to execute read-only queries against your configured Sentry organization.

What is the best way to check for new critical errors after a recent deployment?

The best way to check for new critical errors after a deployment is listing top unresolved issues filtered by the production environment and recent time range. This summarizes recent production health data quickly.

How does filtering Sentry issues by environment and project work?

Filtering Sentry issues by environment and project works by passing these parameters to the Sentry API script. It restricts the read-only observability data retrieval to match your specific application context and infrastructure.

Are there limitations to monitoring production issues using read-only API queries?

Limitations of monitoring production issues using read-only API queries include the inability to resolve, assign, or modify issues directly. The script strictly retrieves observability data for inspection and summarization.