# Step 0: sample-smoke-conversions

## Read First
- /AGENTS.md
- /PLAN.md
- /PROGRESS.md
- /docs/HARNESS.md
- /docs/IMPLEMENTATION_PLAN.md
- /docs/PRD.md
- /docs/CONVERSION_POLICY.md
- /phases/6-cli-runtime-resume/index.json

## Task
Create controlled sample smoke conversion tests for the MVP corpus.

The tests should exercise the end-to-end pipeline on a small selected subset or page range first, then document which full documents are suitable for manual or slower regression runs.

## Sprint Contract
- Done means: at least one text-layer sample and one mixed/scanned-risk sample can be converted in a controlled test path.
- Hard thresholds: tests have runtime bounds; sample selection comes from `samples/metadata.json`; generated output is checked with quality gates.
- Files owned: `tests/`, sample metadata updates if needed, `PROGRESS.md`, `phases/7-mvp-quality-hardening/index.json`.
- Dependencies: CLI/runtime and renderer phases complete.

## Acceptance Criteria
```powershell
python scripts\validate_workspace.py
.\venv\python.exe -m pytest tests
```

## Verification
1. Run the acceptance commands.
2. Record sample coverage and any skipped slow tests in `PROGRESS.md`.
3. Update this phase index.

## Do Not
- Do not make every validation run process all long PDFs if runtime becomes impractical.
- Do not commit generated `output/` bundles.
- Do not weaken quality gates to pass broken output.