d63685401d
- Comprehensive skill validation, testing, and quality scoring framework - skill_validator.py: validates structure, documentation, and compliance (700+ LOC) - script_tester.py: tests syntax, functionality, and runtime behavior (800+ LOC) - quality_scorer.py: multi-dimensional quality assessment with scoring (1100+ LOC) - Complete reference documentation (structure spec, tier requirements, scoring rubric) - Sample skill with assets and expected outputs for testing - CI/CD integration examples and pre-commit hook support - Zero external dependencies, dual output formats (JSON + human-readable) - Self-testing capable meta-skill for quality assurance automation
539 B
539 B
| 1 | name,age,city,country |
|---|---|
| 2 | John Doe,25,New York,USA |
| 3 | Jane Smith,30,London,UK |
| 4 | Bob Johnson,22,Toronto,Canada |
| 5 | Alice Brown,28,Sydney,Australia |
| 6 | Charlie Wilson,35,Berlin,Germany |
| 7 | This CSV file contains sample data with headers and multiple rows. |
| 8 | It can be used to test the text processor's ability to handle |
| 9 | structured data formats and count words across different content types. |
| 10 | The file includes: |
| 11 | - Header row with column names |
| 12 | - Data rows with mixed text and numbers |
| 13 | - Various city and country names |
| 14 | - Different age values for statistical analysis |