Greenmamba29/error-tracker
.agents/skills/error-tracker/SKILL.md
Monitor application logs and error streams to detect, group, and triage errors by severity and frequency. Automatically creates GitHub issues or Jira tickets for new errors and notifies the on-call team.
tools
Updated Apr 17, 2026
$ install --global
skillsauthnpx skillsauth add Greenmamba29/skillsdotmd_web error-trackerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 24, 2026, 9:02 PM1.7s1 file scanned
SKILL.md
- name:
- error-tracker
- description:
- Monitor application logs and error streams to detect, group, and triage errors by severity and frequency. Automatically creates GitHub issues or Jira tickets for new errors and notifies the on-call team.
- license:
- MIT
- tags:
- [monitoring, errors, debugging, devops, alerting]
Error Tracker
Overview
Continuously monitor application logs, exception streams, and error events to detect regressions, group similar errors, prioritize by impact, and route to the right team for resolution.
When to Use
- Monitoring production application logs in real-time
- Detecting new error patterns after a deployment
- Auto-creating tickets for critical bugs that need immediate attention
- Generating weekly error trend reports for engineering teams
- Suppressing known/expected errors to reduce noise
Instructions
- Accept inputs: log source (file path, CloudWatch ARN, Datadog query, Sentry DSN), monitoring interval, severity thresholds, notification channels.
- Connect to the log source and ingest error events.
- Parse and normalize error payloads: extract message, stack trace, frequency, first/last seen, affected users.
- Group similar errors using stack trace fingerprinting to de-duplicate.
- Classify severity: Critical (production down), High (feature broken), Medium (degraded performance), Low (cosmetic).
- For new Critical/High errors: create GitHub issue or Jira ticket with full context, stack trace, and reproduction steps.
- Send Slack/PagerDuty alert for Critical errors.
- Return error digest: new errors, resolved errors, top 10 by frequency, error rate trend.
Environment
LOG_SOURCE=cloudwatch|sentry|datadog|file
LOG_GROUP_ARN=arn:aws:logs:us-east-1:123456789:log-group/app
GITHUB_TOKEN=ghp_your_token
SLACK_WEBHOOK_URL=https://hooks.slack.com/services/...
CRITICAL_THRESHOLD=1
HIGH_THRESHOLD=10
Examples
Input:
source: sentry
project: skillsdotmd-web
interval: 5_minutes
alert_channel: #ops-errors
create_issues: true
Output:
Error Digest (last 5 min)
New errors: 3
CRITICAL: TypeError: Cannot read property 'id' of undefined (checkout.ts:142) - 47 occurrences
HIGH: 500 error on /api/skills endpoint - 12 occurrences
GitHub issues created: 2
Slack alerts sent: 1 (critical)
Error rate: +23% vs previous 5 min
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