building-tables — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited building-tables (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
This skill enables systematic creation of tables and data grids from simple HTML tables to enterprise-scale virtualized grids handling millions of rows. It provides clear decision frameworks based on data volume and required features, ensuring optimal performance, accessibility, and responsive design across all implementations.
Activate this skill when:
Select implementation tier based on data volume:
<100 rows → Simple HTML table with progressive enhancement
100-1,000 rows → Client-side features (sort, filter, paginate)
1,000-10,000 → Server-side operations with API pagination
10,000-100,000 → Virtual scrolling with windowing
>100,000 rows → Enterprise grid with streaming and workersFor detailed selection criteria, reference references/selection-framework.md.
For simple, read-only data display:
<table> structurereferences/basic-tables.md for patternsExample: examples/simple-responsive-table.tsx
For feature-rich interactions:
references/interactive-tables.mdExample: examples/sortable-filtered-table.tsx
For massive datasets:
references/advanced-grids.mdExample: examples/virtual-scrolling-grid.tsx
Critical performance thresholds:
To benchmark performance:
# Generate test data
python scripts/generate_mock_data.py --rows 10000
# Analyze rendering performance
node scripts/analyze_performance.jsFor optimization strategies, reference references/performance-optimization.md.
references/sorting-filtering.mdreferences/sorting-filtering.mdreferences/pagination-strategies.mdreferences/selection-patterns.mdreferences/editing-patterns.mdscripts/export_table_data.pyEssential WCAG compliance:
To validate accessibility:
node scripts/validate_accessibility.jsFor complete requirements, reference references/accessibility-patterns.md.
Four proven strategies:
See examples/responsive-patterns.tsx for implementations. Reference references/responsive-strategies.md for details.
Best for custom designs and complete control:
npm install @tanstack/react-tableSee examples/tanstack-basic.tsx for setup.
Best for feature-complete solutions:
npm install ag-grid-reactSee examples/ag-grid-enterprise.tsx for setup.
For detailed comparison, reference references/library-comparison.md.
Tables use the design-tokens skill for consistent theming:
Supports light, dark, high-contrast, and custom themes. Reference the design-tokens skill for theme switching.
Start with the example matching the requirements:
simple-responsive-table.tsx # Basic HTML table
sortable-filtered-table.tsx # With sorting and filtering
paginated-server-table.tsx # Server-side pagination
virtual-scrolling-grid.tsx # High-performance for 100K+ rows
editable-data-grid.tsx # Inline editing with validation
grouped-aggregated-table.tsx # Hierarchical with aggregationsGenerate test data:
python scripts/generate_mock_data.py --rows 100000 --columns 20Benchmark performance:
node scripts/analyze_performance.js --rows 10000Validate accessibility:
node scripts/validate_accessibility.js~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.