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Validates pipeline outputs before saving. Rejects bad entries, tracks quality scores per pipeline. Checks: - Training pairs: prompt/response non-empty, response != prompt - Scene descriptions: all required fields, description min length - Knowledge entries: no placeholders (TODO, FIXME), min length - Prompt enhancement: rich > terse length, min 20 chars - Adversary entries: id/family/prompt present, min prompt length - SOUL.md compliance: no human life valuation, no weapon/child content - Deduplication: detects duplicate entries by key fields Features: - Auto-reject bad outputs with reasons - Quality score per entry (0.0-1.0) - Batch mode (--dir) for processing all JSONL at once - Stats tracking (~/.hermes/pipeline/quality_stats.json) - --status to view historical quality metrics Usage: python3 pipeline/quality_gate.py --input data.jsonl --type training_pairs python3 pipeline/quality_gate.py --dir pipeline/output/ python3 pipeline/quality_gate.py --status Closes #623