scoring-engine
✓Statistical scoring with z-scores, percentiles, freshness decay, and cross-category normalization. Rank and compare items with confidence scoring.
Installation
SKILL.md
Statistical scoring for ranking and comparing items across categories.
Use percentiles over mean/std for skewed data. Apply freshness decay for older content. Calculate confidence based on sample size. Normalize across categories for fair comparison.
Statistical scoring with z-scores, percentiles, freshness decay, and cross-category normalization. Rank and compare items with confidence scoring. 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 scoring-engine 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 scoring-engine- Source
- dadbodgeoff/drift
- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-05
- Updated
- 2026-02-18
Quick answers
What is scoring-engine?
Statistical scoring with z-scores, percentiles, freshness decay, and cross-category normalization. Rank and compare items with confidence scoring. Source: dadbodgeoff/drift.
How do I install scoring-engine?
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 scoring-engine 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
- 2026-02-05