- adapters/hackernews.py: HN Firebase API adapter with AI keyword filtering
- Word-boundary matching to avoid substring traps (Britain/Guinea)
- Score: log(points) + log(comments), actual HN scores
- Wired into ENABLED_SOURCES + verification in pipeline.py
- Live test: 10 AI/ML stories fetched, all clean
- oracle-pipeline.sh: single cron entry point (pipeline -> summarize -> archive)
- archive.py: soft-cap archival to entries_archive (preserve, not delete)
- pipeline.py: record zero-fetch (rate-limited) runs as degraded in run_log.notes
Verified: full script runs exit 0, run_log captures per-source status.