review

name	Review
description	Multi-agent review with lesson-calibrated reviewers, runtime verification, and severity classification
phase	review

Review Skill

Overview

Perform thorough code review by spawning specialized reviewers in parallel, consolidating findings with severity classification (P0/P1/P2/P3), and gating completion on implementation-reviewer approval. Reviewers are calibrated with past lessons and relevant research before reviewing.

Methodology

1. Read the epic description (bd show <epic>) for EARS requirements -- reviewers verify each requirement is met
2. Check Acceptance Criteria: Locate the ## Acceptance Criteria table in the epic description. For each AC row, verify the implementation satisfies the criterion using the specified verification method.
   • If the AC section is missing: flag as P1 process finding ("No Acceptance Criteria section found in epic description — plan phase did not generate AC table")
   • If an AC criterion is not met: flag as P1 defect ("AC-N not satisfied:
     ")
   • If an AC criterion is met: annotate the AC row as PASS in the review report
3. Check Verification Contract: Locate the ## Verification Contract section in the epic description.
   • If the contract is missing: flag as P1 process finding ("No Verification Contract section found in epic description — plan phase did not define required evidence")
   • If the contract exists: verify each item in Required evidence explicitly. Missing evidence is a P1 process or execution defect, not an optional note.
   • Use Profile, Surfaces, and Risks to decide which verification specialists must run during this review.
4. Run baseline quality gates: go test ./... and golangci-lint run ./...
   • If Required evidence includes build, also run go build ./... before spawning reviewers
5. Lesson-Calibrated Review (LCR): a. For each reviewer category (security, test-coverage, simplicity, architecture, etc.), run ca search "<category> review" to retrieve relevant past lessons b. Filter results by category match and recency (prefer lessons < 30 days old) c. Cap at 3-5 lessons per reviewer -- more dilutes focus d. Inject matched lessons into each reviewer's prompt as calibration context e. Consult docs/compound/research/ for methodology references relevant to the review domain (e.g., docs/compound/research/scenario-testing/ for testing reviews) f. Contradiction detection: If a reviewer finding contradicts a high-severity lesson (severity >= P1), flag the contradiction for human review via AskUserQuestion with both the finding and the lesson content. Do not auto-resolve contradictions.

   See review/references/lesson-calibration.md for detailed calibration guidance

6. Search memory with ca search for known patterns and recurring issues (broader search beyond per-reviewer calibration)
7. Select reviewer tier based on diff size:
   • Small (<100 lines): 4 core -- security, test-coverage, simplicity, cct-subagent
   • Medium (100-500): add architecture, performance, scenario-coverage, pattern-matcher, surface-alignment-reviewer (9 total)
   • Large (500+): all reviewers including doc-gardener, drift-detector, runtime-verifier
8. Runtime Verification (contract-driven): Spawn runtime-verifier when the Verification Contract requires runtime proof.
   • If Required evidence includes runtime_startup, browser_evidence, or contract_checks, spawn runtime-verifier
   • Web UI project: runtime-verifier validates startup and browser-level behavior
   • HTTP API project: runtime-verifier validates startup and representative request/response behavior
   • CLI/library/service without runtime evidence in the contract: SKIP runtime-verifier and record INFO ("Runtime verification not required by Verification Contract")
   • Role skill: .claude/skills/compound/agents/runtime-verifier/SKILL.md
   • Timeout: 5min total suite, 2min per individual test

   See RV-1 through RV-5 in epic for full requirements

9. QA Engineer (required when contract asks for browser/UI evidence):
   • If Required evidence includes browser_evidence, responsive_check, edge_states_check, console_network_clean, or a11y_smoke, invoke the QA Engineer skill and treat its findings as part of the blocking review result
   • Otherwise, use QA Engineer optionally when reviewers request hands-on verification
   • Skill: .claude/skills/compound/qa-engineer/SKILL.md
   • Primary triggers: contract-required browser/UI evidence, visual changes (CSS, HTML, component files), new pages/routes, form modifications, accessibility-related changes
   • The QA Engineer complements runtime-verifier (step 8): runtime-verifier covers automated contract tests, QA Engineer covers exploratory/visual/boundary testing
   • When the Verification Contract requires browser/UI evidence, this step is not optional
   • Can also run between review cycles in the infinity loop (see review-fleet.md)
10. Design Craft Review (contract-driven): Spawn design-craft-reviewer when the Verification Contract requires design quality proof.

• If Required evidence includes design_craft_check, spawn design-craft-reviewer
• The reviewer evaluates changed UI code against the build-great-things quality checklist: states (loading/empty/error), interaction feedback (hover/active/focus/transitions), visual craft (spacing scale, typography hierarchy, color semantics, shadows, borders), motion, responsiveness, and accessibility
• Non-UI projects without design_craft_check in the contract: SKIP and record INFO ("Design craft review not required by Verification Contract")
• Role skill: .claude/skills/compound/agents/design-craft-reviewer/SKILL.md 10b. Visual Verification (contract-driven): When the Verification Contract includes browser_evidence, design_craft_check, or responsive_check, take Playwright screenshots as evidence.
• Auto-detect: Use the QA Engineer detection priority (see .claude/skills/compound/qa-engineer/SKILL.md Phase 1) to check for a runnable UI. If no UI framework detected, SKIP and record INFO.
• If UI detected: Start the dev server in the background, wait for HTTP readiness (poll every 1s, timeout 30s), then take headless Playwright screenshots at 4 viewports: 375px (mobile), 768px (tablet), 1024px (small desktop), 1440px (desktop). Navigate key routes (up to 10) and screenshot each.
• Evidence: Save screenshots alongside review artifacts. Reference them in the Verification Contract evidence table as proof for browser_evidence or responsive_check.
• Visual critique: Include layout, spacing, contrast, hierarchy, and responsive observations in the review findings with screenshot references.
• Graceful degradation: If Playwright is unavailable, record a P3/INFO finding ("Playwright not available for visual verification") and proceed with code-only review. Tag visual concerns with [NEEDS_QA] for the QA Engineer.
• Cleanup: Stop the dev server after screenshot capture.

11. Spawn reviewers in an AgentTeam (TeamCreate + Task with team_name):

• Role skills: .claude/skills/compound/agents/{security-reviewer,architecture-reviewer,performance-reviewer,test-coverage-reviewer,simplicity-reviewer,scenario-coverage-reviewer,surface-alignment-reviewer}/SKILL.md
• Security specialist skills (on-demand, spawned by security-reviewer): .claude/skills/compound/agents/{security-injection,security-secrets,security-auth,security-data,security-deps}/SKILL.md
• Runtime verifier (conditional, see step 8): .claude/skills/compound/agents/runtime-verifier/SKILL.md
• Design craft reviewer (conditional, see step 10): .claude/skills/compound/agents/design-craft-reviewer/SKILL.md
• For large diffs (500+), deploy MULTIPLE instances; split files across instances, coordinate via SendMessage

12. Reviewers communicate findings to each other via SendMessage
13. Collect, consolidate, and deduplicate all findings (including QA Engineer findings from step 9 and design craft findings from step 10)
14. Classify by severity: P0 (blocks merge), P1 (critical/blocking), P2 (important), P3 (minor)
15. Use AskUserQuestion when severity is ambiguous or fix has multiple valid options
16. Create beads issues for P1 findings: bd create --title="P1: ..."
17. Verify spec alignment: flag unmet EARS requirements as P1, flag requirements met but missing from acceptance criteria as gaps
18. Fix all P1 findings before proceeding
19. Run /implementation-reviewer as mandatory gate
20. Capture novel findings with ca learn; pattern-matcher auto-reinforces recurring issues

Acceptance Criteria Review Protocol

When checking AC, produce a summary table in the review report:

AC ID	Criterion	Status	Evidence
AC-1	When X...	PASS/FAIL	test file, line N / manual check

All AC rows must be PASS for the review to proceed to /implementation-reviewer.

Verification Contract Review Protocol

When checking the Verification Contract, produce a second summary table in the review report:

Evidence	Status	Proof	Notes
build	PASS/FAIL	command output / artifact	optional detail

Rules:

• Every item in Required evidence must be marked PASS, FAIL, or ESCALATED
• ESCALATED means review strengthened the contract because the planned evidence was too weak for the actual risk
• Missing runtime/browser/UI evidence is a blocking review outcome, not a polish suggestion
• If the contract is absent, record a P1 process finding and review against the legacy floor (test, lint) plus obvious risk-based evidence

Lesson-Calibrated Review Protocol

Reviewers are pre-loaded with relevant lessons before they begin reviewing:

Per-Reviewer Calibration

Each reviewer receives lessons filtered by their domain:

• security-reviewer: ca search "security vulnerability injection XSS"
• test-coverage-reviewer: ca search "testing coverage TDD mock"
• simplicity-reviewer: ca search "complexity refactor simplify"
• architecture-reviewer: ca search "architecture module boundary coupling"
• performance-reviewer: ca search "performance optimization latency"
• design-craft-reviewer: ca search "design craft visual hierarchy spacing motion states"
• pattern-matcher: ca search "pattern recurring mistake"
• surface-alignment-reviewer: ca search "surface alignment layer connectivity generated types migration schema"

Calibration Rules

• Cap: 3-5 lessons per reviewer (prevents context dilution)
• Recency bias: Prefer lessons from the last 30 days; older lessons included only if severity >= P1
• Category filter: Match lesson tags to reviewer domain; discard unrelated results
• Research supplement: Each reviewer may also receive relevant research excerpts from docs/research/

Contradiction Handling (LCR-3)

When a reviewer produces a finding that directly contradicts a calibration lesson:

1. Flag the contradiction with both the finding and the lesson text
2. Escalate via AskUserQuestion -- do NOT auto-resolve
3. Record resolution via ca learn to prevent future contradictions

Memory Integration

• Run ca search before review for known recurring issues
• LCR: Per-reviewer calibration queries (see Lesson-Calibrated Review Protocol above)
• pattern-matcher auto-reinforces: recurring findings get severity increased via ca learn
• cct-subagent reads CCT patterns for known Claude failure patterns
• Capture the review report via ca learn with type=solution

Runtime Verification Integration

When the runtime-verifier is triggered by the Verification Contract:

• Verifier generates ephemeral Playwright tests against a running application instance
• Findings are reported in standard P0-P3 format and merged with other reviewer findings
• If the app cannot be started: report as P1/INFRA with diagnostics (not silent skip)
• If no runtime target exists for the required evidence: report as P1/INFRA or P3/INFO SKIPPED with justification
• Verifier uses Playwright/Puppeteer library APIs (code generation), NOT browser MCP tools

Docs Integration

• doc-gardener checks code/docs alignment and ADR compliance
• Flags undocumented public APIs and ADR violations

Literature

• Consult docs/compound/research/scenario-testing/ for runtime verification methodology and testing best practices
• Consult docs/compound/research/code-review/ for systematic review methodology, severity taxonomies, and evidence-based review practices
• Consult docs/compound/research/tdd/ for TDD methodology, architecture tests, database testing patterns, regenerate-and-diff, and test infrastructure
• Consult docs/compound/research/spec_design/protobuf-schema-evolution.md for schema compatibility rules across API formats
• Run ca knowledge "code review methodology" for indexed knowledge on review techniques
• Run ca search "review" for lessons from past review cycles

Common Pitfalls

• Ignoring reviewer feedback because "it works"
• Not running all 13 reviewer perspectives (skipping dimensions)
• Treating all findings as equal priority (classify P1/P2/P3 first)
• Not creating beads issues for deferred fixes
• Skipping quality gates before review
• Bypassing the implementation-reviewer gate
• Not checking CCT patterns for known Claude mistakes
• Not checking acceptance criteria from the epic description
• Not checking the Verification Contract from the epic description
• Not calibrating reviewers with past lessons (LCR skip)
• Running runtime-verifier when the Verification Contract does not require runtime proof
• Skipping runtime-verifier when the Verification Contract does require runtime proof
• Silently skipping runtime-verifier when build fails (must report P1/INFRA)
• Not invoking QA Engineer when the Verification Contract requires browser/UI evidence
• Not spawning design-craft-reviewer when the Verification Contract includes design_craft_check
• Skipping design-craft-reviewer for non-UI projects that don't have design_craft_check in the contract (correct behavior — not a pitfall)
• Not taking visual screenshots when the Verification Contract requires browser_evidence or responsive_check (reviewers should see what users see)
• Taking screenshots on non-UI projects (waste of time — auto-detect first)

Quality Criteria

• Baseline quality gates pass (go test ./..., golangci-lint run ./...)
• go build ./... passed when the Verification Contract required build evidence
• All 13 reviewer perspectives were applied in parallel (including surface-alignment-reviewer)
• Findings are classified P0/P1/P2/P3 and deduplicated
• Verification Contract checked and all required evidence verified
• Reviewers were calibrated with 3-5 relevant lessons each (LCR)
• Research references were consulted for applicable review domains
• Lesson contradictions were flagged for human review (LCR-3)
• pattern-matcher checked memory and reinforced recurring issues
• cct-subagent checked against known Claude failure patterns
• doc-gardener confirmed docs/ADR alignment
• security-reviewer P0 findings: none (blocks merge)
• security-reviewer P1 findings: all acknowledged or resolved
• Runtime verifier ran when required by the Verification Contract or reported why it was not required
• Design craft reviewer ran when design_craft_check was in the Verification Contract or reported why it was not required
• QA Engineer invoked when contract-required browser/UI evidence was in scope
• Visual screenshots taken at 4 viewports when contract requires browser/UI evidence, or INFO recorded explaining why skipped
• All P1 findings fixed before /implementation-reviewer approval
• All spec requirements verified against implementation
• All acceptance criteria checked and verified (PASS/FAIL)
• All Verification Contract evidence checked and verified (PASS/FAIL/ESCALATED)
• scenario-coverage-reviewer verified scenario table coverage (medium+ diffs)
• /implementation-reviewer approved as mandatory gate

PHASE GATE 4 -- MANDATORY

Before starting Compound, verify review is complete:

• /implementation-reviewer must have returned APPROVED
• All P1 findings must be resolved
• All acceptance criteria must be PASS
• All Verification Contract evidence must be PASS or explicitly escalated and resolved

CRITICAL: Use ca learn for ALL lesson storage -- NOT MEMORY.md.