Content Validation

Purpose

Validates all generated pack content against the runtime schemas defined in src/knowledge/types.ts. This is the quality gate skill used by the KP-05 validator agent after each batch of packs is generated. It catches schema violations, missing files, broken cross-pack references, and duplicate learning outcome codes before content reaches the review stage.

Capabilities

• .skillmeta YAML validation against KnowledgePackSchema via parseSkillmeta
• Modules YAML validation against ModulesFileSchema
• Activities JSON validation against PackActivitySchema (per-entry)
• Vision document structure validation (required sections present)
• Assessment framework structure validation (rubric levels present)
• Resource catalog validation (links resolve, categories present)
• Cross-pack dependency reference validation (pack_id exists in registry)
• Learning outcome code uniqueness across all registered packs
• File completeness check (all 6 required files per pack directory)
• Batch validation: run all checks across 5 packs in a single pass

Key Modules

Usage Examples

Validate a single pack:

import { validatePack } from './content-validator.js';

const result = await validatePack('src/knowledge/packs/math-101');
// result.valid: boolean
// result.errors: string[] (empty if valid)
// result.warnings: string[] (non-blocking issues)

Validate a batch:

After Phase 245 completes, run validation across all 5 generated packs:
- MATH-101, SCI-101, TECH-101, ENGR-101, PHYS-101
Check cross-pack references resolve within the batch and against previously registered packs.

Dependencies

• Pack runtime API (src/knowledge/) -- all parsers and validators
• Registry with previously registered packs for cross-reference resolution

Token Budget Rationale

1.0% budget reflects the validation module references and schema knowledge needed for comprehensive checking. The validator operates on the runtime API, not on raw content, keeping context requirements moderate.