MCP Mastery
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c-04-rollout-metrics

Rollout Metrics

Turn offline and online signals into a rollout recommendation.

boss
python
~45 min

README

# Rollout Metrics

Implement the tiny eval helper in `src/rollout.py` until `tests/validate.py` passes.

## Good / Bad / Ugly

- **Good**: passes shuffled and edge-case examples without network calls.
- **Bad**: hard-codes the sample fixture and calls it done. Cute. No.
- **Ugly**: production data is partial, so validation must reject ambiguity before scoring.

Run with `npm run challenge -- rollout-metrics --track eval-writing`.

Hints

  • Good passes under shuffled examples and explicit edge cases.
  • Bad hard-codes the sample rows. Very brave, very detectable.
  • Ugly production data is partial; validate before scoring.

Acceptance

  • `npm run challenge -- rollout-metrics --track eval-writing` exits 0
  • Validator exercises good, bad, and ugly cases
  • Implementation avoids network calls and nondeterminism