Agent skill · Testing & QA

golden-dataset-validation

Use when validating golden dataset quality. Runs schema checks, duplicate detection, and coverage analysis to ensure dataset integrity for AI evaluation.

majiayu000github.com/majiayu000GitHub ↗
claude-coderead-onlyMIT
Install
npx skills add majiayu000/claude-skill-registry --skill golden-dataset-validation --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Version: 1.0.0
Declared author: SkillForge AI Agent Hub
Allowed tools: -Read-Grep-Glob
Path: skills/ai-ml/golden-dataset-validation/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Golden Dataset Validation **Ensure data integrity, prevent duplicates, and maintain quality standards** ## Overview This skill provides comprehensive validation patterns for the golden dataset, ensuring every entry meets quality standards before inclusion. **When to use this skill:** - Validating new documents before adding - Running integrity checks on existing dataset - Detecting duplicate or similar content - Analyzing coverage gaps - Pre-commit validation hooks --- ## Schema Validation ### Document Schema (v2.0) ```json { "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "required": ["id", "title", "source_url", "content_type", "sections"], "properties": { "id": { "type": "string", "pattern": "^[a-z0-9-]+$", "description": "Unique kebab-case identifier" }, "title": { "type": "string", "minLength": 10, "maxLength": 200 }, "source_url": { "type": "string", "format": "uri", "description": "Canonical source URL (NOT placeholder)" }, "content_type": { "type": "string", "enum": ["article", "tutorial", "research_paper", "documentation", "video_transcript", "code_repository"] }, "bucket": { "type": "string", "enum": ["short", "long"] }, "tags": { "type": "array"

What's inside
Steps it walks through
  1. Overview
  2. Schema Validation
  3. Document Schema (v2.0)
  4. Query Schema
  5. Validation Rules Summary
  6. Quick Reference
  7. Duplicate Detection Thresholds
  8. Coverage Requirements
  9. Difficulty Distribution Requirements
  10. References
  11. Related Skills
  12. Capability Details
  13. schema-validation
  14. duplicate-detection
Ships with 1 file
  • metadata.json
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About this skill
What does the golden-dataset-validation skill do?

Use when validating golden dataset quality. Runs schema checks, duplicate detection, and coverage analysis to ensure dataset integrity for AI evaluation.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill golden-dataset-validation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going