# EGPv2 Fix Checklist

## Goal

Reduce the current "always-anomaly" bias in EGPv2 without leaking benchmark labels.

## Checklist

- [x] Fix Matter value presentation in `signals.py`
  - Format `TemperatureMeasurement.MeasuredValue` as human-readable Celsius.
  - Add semantic formatting for common Matter attributes such as occupancy, on/off, and lock state.
  - Expose short protocol notes to downstream prompts.

- [x] Add Matter-aware prompt guidance in `prompts.py`
  - Tell the model these are Matter-style logs.
  - Warn that raw protocol values must not be interpreted naively.
  - Require direct evidence before claiming device faults.

- [x] Tighten `Triage`
  - Move from free-form mixed task labels to a primary task with optional secondary task.
  - Cap first-round focus chunk selection to a small set.
  - Encourage query-anchored focus rather than generic anomaly hunting.

- [x] Strengthen `Supervisor`
  - Add explicit `risk_of_false_alarm`.
  - Add explicit `recommended_action` so code can enforce the result.
  - Ask supervisor to flag protocol-format misunderstandings.

- [x] Turn the pipeline into a bounded 2-round workflow in `pipeline.py`
  - Round 1: Triage -> Investigator -> Supervisor
  - If needed, expand chunks and rerun Investigator + Supervisor once
  - No unbounded looping

- [x] Enforce supervisor authority in code
  - If supervisor requests refinement, the code must refine once.
  - If the final supervisor says `abstain`, the code must not let verifier override it.
  - If evidence is still insufficient and false-alarm risk is high, default to a conservative non-anomaly output.

- [x] Preserve traceability
  - Keep round-by-round investigator and supervisor traces.
  - Keep backward-compatible top-level trace fields where practical.

- [ ] Re-run the 60-episode diagnosis subset after implementation