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quality_gate.py:
4-dimension scoring (0.0-1.0):
specificity (0.3): concrete examples vs vague
actionability (0.3): can this be used?
freshness (0.2): exponential decay over time
source_quality (0.2): model reliability score
filter_entries(entries, threshold=0.5)
quality_report() — distribution + pass rate
CLI: --threshold, --json, --filter
tests/test_quality_gate.py: 14 tests
specificity: specific high, vague low, empty baseline
actionability: actionable high, abstract low
freshness: recent high, old low, none baseline
source: claude high, ollama low, unknown default
entry: good high, poor low
filter: removes low quality