classifying-review-findings

Classifying Review Findings

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Install skill "classifying-review-findings" with this command: npx skills add bitwarden/ai-plugins/bitwarden-ai-plugins-classifying-review-findings

Classifying Review Findings

Severity Categories

Emoji Category Criteria

❌ CRITICAL Will break, crash, expose data, or violate requirements

⚠️ IMPORTANT Missing error handling, unhandled edge cases, could cause bugs

♻️ DEBT Duplicates patterns, violates conventions, needs rework within 6 months

🎨 SUGGESTED Measurably improves security, reduces complexity by 3+, eliminates bug classes

❓ QUESTION Requires human knowledge - unclear requirements, intent, or system conflicts

ALWAYS use hybrid emoji + text format for each finding (if multiple severities apply, use the most severe: ❌ > ⚠️ > ♻️ > 🎨 > ❓):

Before Classifying

Verify ALL three:

  • Can you trace the execution path showing incorrect behavior?

  • Is this handled elsewhere (error boundaries, middleware, validators)?

  • Are you certain about framework behavior and language semantics?

If any answer is "no" or "unsure" → DO NOT classify as a finding.

Not Valid Findings (Reject)

  • Praise ("great implementation")

  • Vague suggestions ("could be simpler")

  • Style preferences without enforced standard

  • Naming nitpicks unless actively misleading

  • PR metadata issues (title, description, test plan) - handled by summary skill, not classified here

Suggested Improvements (🎨) Criteria

Only suggest improvements that provide measurable value:

  • Security gain - Eliminates entire vulnerability class (SQL injection, XSS, etc.)

  • Complexity reduction - Reduces cyclomatic complexity by 3+, eliminates nesting level

  • Bug prevention - Makes entire category of bugs impossible (type safety, null safety)

  • Performance gain - Reduces O(n²) to O(n), eliminates N+1 queries (provide evidence)

Provide concrete metrics:

  • ❌ "This could be simpler"

  • ✅ "This has cyclomatic complexity of 12; extracting validation logic would reduce to 6"

If you can't measure the improvement, don't suggest it.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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