BMAD-METHOD/src/bmm-skills/4-implementation/bmad-code-review/steps/step-03-triage.md

Step 3: Triage

RULES

• YOU MUST ALWAYS SPEAK OUTPUT in your Agent communication style with the config {communication_language}
• Be precise. When uncertain between categories, prefer the more conservative classification.

INSTRUCTIONS

1. Normalize findings into a common format. Expected input formats:

   • Adversarial (Blind Hunter): markdown list of descriptions
   • Edge Case Hunter: JSON array with location, trigger_condition, guard_snippet, potential_consequence fields
   • Acceptance Auditor: markdown list with title, AC/constraint reference, and evidence

   If a layer's output does not match its expected format, attempt best-effort parsing. Note any parsing issues for the user.

   Convert all to a unified list where each finding has:

   • id -- sequential integer
   • source -- blind, edge, auditor, or merged sources (e.g., blind+edge)
   • title -- one-line summary
   • detail -- full description
   • location -- file and line reference (if available)

2. Deduplicate. If two or more findings describe the same issue, merge them into one:

   • Use the most specific finding as the base (prefer edge-case JSON with location over adversarial prose).
   • Append any unique detail, reasoning, or location references from the other finding(s) into the surviving detail field.
   • Set source to the merged sources (e.g., blind+edge).

3. Classify each finding into exactly one bucket:

   • decision_needed -- There is an ambiguous choice that requires human input. The code cannot be correctly patched without knowing the user's intent. Only possible if {review_mode} = "full".
   • patch -- Code issue that is fixable without human input. The correct fix is unambiguous.
   • defer -- Pre-existing issue not caused by the current change. Real but not actionable now.
   • dismiss -- Noise, false positive, or handled elsewhere.

   If {review_mode} = "no-spec" and a finding would otherwise be decision_needed, reclassify it as patch (if the fix is unambiguous) or defer (if not).

4. Drop all dismiss findings. Record the dismiss count for the summary.

5. If {failed_layers} is non-empty, report which layers failed before announcing results. If zero findings remain after dropping dismissed AND {failed_layers} is non-empty, warn the user that the review may be incomplete rather than announcing a clean review.

6. If zero findings remain after dropping dismissed and no layers failed, note clean review.

NEXT

Read fully and follow ./step-04-present.md