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aj-geddes/useful-ai-prompts448 installs

error-tracking

Implement error tracking with Sentry for automatic exception monitoring, release tracking, and performance issues. Use when setting up error monitoring, tracking bugs in production, or analyzing application stability.

How do I install this agent skill?

npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill error-tracking
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill provides templates and reference guides for Sentry error tracking. Security analysis identified that the example code in the Express and Python reference guides contains SQL injection vulnerabilities, as user-controlled parameters are directly interpolated into database queries. The skill correctly uses environment variables for sensitive configuration like DSNs and Auth Tokens.

  • Socketwarn

    2 alerts: gptSecurity

  • Snykpass

    Risk: LOW · No issues

  • Runlayerfail

    6/11 files flagged

  • ZeroLeakspass

    Score: 93/100 · 2 sections analyzed

What does this agent skill do?

Error Tracking

Table of Contents

Overview

Set up comprehensive error tracking with Sentry to automatically capture, report, and analyze exceptions, performance issues, and application stability.

When to Use

  • Production error monitoring
  • Automatic exception capture
  • Release tracking
  • Performance issue detection
  • User impact analysis

Quick Start

Minimal working example:

npm install -g @sentry/cli
npm install @sentry/node @sentry/tracing
sentry init -d

Reference Guides

Detailed implementations in the references/ directory:

GuideContents
Sentry SetupSentry Setup, Node.js Sentry Integration
Express Middleware IntegrationExpress Middleware Integration
Python Sentry IntegrationPython Sentry Integration
Source Maps and Release ManagementSource Maps and Release Management, CI/CD Release Creation
Custom Error ContextCustom Error Context
Performance MonitoringPerformance Monitoring

Best Practices

✅ DO

  • Set up source maps for production
  • Configure appropriate sample rates
  • Track releases and deployments
  • Filter sensitive information
  • Add meaningful context to errors
  • Use breadcrumbs for debugging
  • Set user information
  • Review error patterns regularly

❌ DON'T

  • Send 100% of errors in production
  • Include passwords in context
  • Ignore configuration for environment
  • Skip source map uploads
  • Log personally identifiable information
  • Use without proper filtering
  • Disable tracking in production

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/aj-geddes/useful-ai-prompts/error-tracking">View error-tracking on skillZs</a>