(cli): `bgagent stats` for agent contribution and quality metrics

## Component

Scripts / CLI

## Describe the feature

Add `bgagent stats` to report aggregate outcomes over a time window: tasks submitted, PRs opened, merge rate, median revision cycles, CI pass rate, cost totals—filterable by repo and user.

## Use case

Operators adopting background agents need **outcome metrics**, not task counts alone. Roadmap **Evaluation pipeline** and operator dashboard cover backend aggregation; CLI users and platform teams want a quick, scriptable view for adoption reviews and executive summaries.

## Proposed solution

1. `GET /stats` (or query Tasks table + webhook-derived merge state) returning JSON aggregates.
2. CLI: `bgagent stats [--repo] [--since 30d] [--format table|json]`.
3. Reuse PR outcome signals from roadmap **PR outcome tracking** when available; v1 can use task terminal states + GitHub API sampling with documented limitations.
4. Document proxy vs. customer-impact metrics (merge rate is proxy; optional manual tags later).

## Other information

- Complements roadmap **Validation and risk analytics** and control panel—not a duplicate if scoped to CLI/API summary.
- Auth: same Cognito constraints as `list`/`status`.

## Acknowledgements

- [ ] I may be able to implement this feature
- [ ] This might be a breaking change

## Acceptance criteria

- [ ] API endpoint documented in `API_CONTRACT.md` with stable response shape mirrored in `cli/src/types.ts`.
- [ ] CLI prints table and JSON; respects `--verbose` for query details.
- [ ] Tests in `cli/test/` with mocked API client.
- [ ] User guide explains metric definitions and limitations.

Start by reviewing the acceptance criteria in API_CONTRACT.md and the response types in cli/src/types.ts, then inspect the existing CLI API-client tests under cli/test/. Done means a documented stable stats endpoint, table and JSON output with the requested filters and verbose details, mocked tests, and a user guide covering metric definitions and limitations.

Written by the indexing model from the issue text.