# REVIEW — OBPI-0.23.0-03-reviewer-agent

**Reviewer:** spec-reviewer agent
**Date:** 2026-03-28
**Verdict:** PASS

## Promises vs Delivery

| # | Requirement | Met? | Evidence |
|---|------------|------|----------|
| 1 | Define "reviewer" role in agent role taxonomy | YES | `src/gzkit/commands/pipeline.py:1` — module docstring identifies reviewer agent role; `compose_reviewer_prompt()` at line 75 builds the reviewer's context |
| 2 | Reviewer receives brief, closing argument, changed files, and doc files | YES | `pipeline.py:75` — `compose_reviewer_prompt(obpi_id, brief_text, closing_argument, changed_files, doc_files)` |
| 3 | Structured assessment: promises-met, docs-quality, closing-argument-quality | YES | `pipeline.py:53` — `ReviewerAssessment` Pydantic model with `promises_met`, `docs_quality`, `closing_argument_quality` fields |
| 4 | Assessment stored as reviewable artifact alongside brief | YES | `pipeline.py:198` — `store_reviewer_assessment()` writes `REVIEW-*.md` to the briefs/obpis directory |
| 5 | Ceremony skill presents reviewer assessment before attestation | YES | `pipeline.py:271` — `format_reviewer_for_ceremony()` renders assessment table; `.claude/skills/gz-obpi-pipeline/SKILL.md` Stage 4 integrates reviewer output |

**Promises met:** 5/5

## Documentation Quality

**Assessment:** substantive

Governance runbook at `docs/governance/governance_runbook.md` updated with reviewer agent protocol. Pipeline skill updated with Stage 3.5 documentation. Implementation evidence includes 42 unit tests and 8 BDD scenarios (46 steps).

## Closing Argument Quality

**Assessment:** earned

The closing argument identifies the specific transformation (self-certification to independent review), names the concrete deliverables (Stage 3.5 dispatch, ReviewerAssessment model, prompt composer, JSON parser, artifact storage, ceremony formatter), and provides reproducible proof commands with expected counts.

## Summary

All five requirements are delivered. The reviewer agent role is a genuine independent verification mechanism — a distinct subagent invocation with fresh context that produces a structured assessment stored as a durable artifact. The implementation spans the full lifecycle from prompt composition through parsing, storage, and ceremony presentation, with 42 unit tests and 8 BDD scenarios providing thorough coverage.
