golden-dataset-validation
✓Use when validating golden dataset quality. Runs schema checks, duplicate detection, and coverage analysis to ensure dataset integrity for AI evaluation.
Installation
SKILL.md
Ensure data integrity, prevent duplicates, and maintain quality standards
This skill provides comprehensive validation patterns for the golden dataset, ensuring every entry meets quality standards before inclusion.
| No Placeholder URLs | Ensure real canonical URLs | Error | | Unique Identifiers | No duplicate doc/query/section IDs | Error | | Referential Integrity | Query chunks reference valid sections | Error | | Content Quality | Title/content length, tag count | Warning | | Difficulty Distribution | Balanced query difficulty levels | Warning |
Use when validating golden dataset quality. Runs schema checks, duplicate detection, and coverage analysis to ensure dataset integrity for AI evaluation. Source: yonatangross/orchestkit.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/yonatangross/orchestkit --skill golden-dataset-validation- Source
- yonatangross/orchestkit
- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is golden-dataset-validation?
Use when validating golden dataset quality. Runs schema checks, duplicate detection, and coverage analysis to ensure dataset integrity for AI evaluation. Source: yonatangross/orchestkit.
How do I install golden-dataset-validation?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/yonatangross/orchestkit --skill golden-dataset-validation 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/yonatangross/orchestkit
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01