Redacted excerpt; full evidence withheld.

$ pwd && ls -la && sed -n '1,240p' README.md && python3 --version && id -u
exit: 0
7 chunks -> .kbguard\snapshots\2026-10-20T06-47-31_demo (report.html, results.json)
```

Open `report.html` in the printed snapshot directory — you'll see a health score of **86** and 10 real findings (2 duplicate pairs, 1 stale-version pair, 7 chunking-damage findings) across the corpus's deliberately planted problems. Full walkthrough, including evals/golden sets/CI gating, in [Quickstart](docs/getting-started/quickstart.md).

Pointing this at your own store is a config change, not a code change — set `store.adapter` and `store.settings` in `kbguard.yaml` to your real vector database and rerun `kbguard scan`.

## Documentation

Full guide (configuration, every check, every adapter, evals, judge calibration, CI integration) lives under [`docs/`](docs/) — build it locally with `mkdocs serve`, or browse the Markdown directly on GitHub.
[excerpt truncated]