anomaly-detection
✓Rule-based anomaly detection for production systems with configurable thresholds, cooldown periods to prevent alert storms, and error pattern tracking for repeated failures.
Installation
SKILL.md
Rule-based anomaly detection with cooldowns and error pattern tracking.
Production systems fail in subtle ways - jobs getting slower, error rates creeping up, same errors repeating. The solution:
Rule-based anomaly detection for production systems with configurable thresholds, cooldown periods to prevent alert storms, and error pattern tracking for repeated failures. Source: dadbodgeoff/drift.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/dadbodgeoff/drift --skill anomaly-detection Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/dadbodgeoff/drift --skill anomaly-detection- Source
- dadbodgeoff/drift
- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-06
- Updated
- 2026-02-18
Quick answers
What is anomaly-detection?
Rule-based anomaly detection for production systems with configurable thresholds, cooldown periods to prevent alert storms, and error pattern tracking for repeated failures. Source: dadbodgeoff/drift.
How do I install anomaly-detection?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/dadbodgeoff/drift --skill anomaly-detection Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/dadbodgeoff/drift
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-06