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Multi Reviewer Patterns

  • 7.4k installs
  • 38.3k repo stars
  • Updated July 22, 2026
  • wshobson/agents

multi-reviewer-patterns is an agent skill for parallel multi-dimensional code reviews with deduplication severity calibration and consolidated report templates.

About

multi-reviewer-patterns is an agent skill for coordinating parallel code reviews across quality dimensions with deduplication severity calibration and consolidated reporting. Review dimensions include Security Performance Architecture Testing and Accessibility with recommended combinations per scenario such as API endpoints getting Security Performance Architecture and frontend components getting Architecture Testing Accessibility. Finding deduplication merges same file line same issue findings credits all reviewers keeps different issues separate uses highest severity on conflicts and tags co-located distinct problems. Severity calibration defines Critical High Medium and Low with rules like external exploitable vulnerabilities as Critical or High performance hot path issues at least Medium and style-only issues as Low. The consolidated report template groups findings by severity with location dimension description impact and fix sections plus a per-dimension summary table and overall recommendation. Use when organizing multi-reviewer reviews calibrating severity consistently or producing unified PR review reports.

  • Five review dimensions: Security Performance Architecture Testing Accessibility.
  • Scenario-based dimension allocation for API frontend database auth changes.
  • Deduplication merge rules for same file line with highest severity wins.
  • Severity criteria table from Critical data loss to Low cosmetic issues.
  • Consolidated report template with per-dimension counts and recommendation.

Multi Reviewer Patterns by the numbers

  • 7,386 all-time installs (skills.sh)
  • +167 installs in the week ending Jul 28, 2026 (Skillselion tracking)
  • Ranked #31 of 1,382 Code Review & Quality skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
At a glance

multi-reviewer-patterns capabilities & compatibility

Capabilities
review dimension allocation by change scenario · finding deduplication merge and co located taggi · severity calibration criteria and escalation rul · consolidated markdown report template with summa · conflict handling for severity and recommendatio · recommended dimension combinations for api front
Use cases
code review · security audit · testing
From the docs

What multi-reviewer-patterns says it does

Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting.
SKILL.md
Security vulnerabilities exploitable by external users: always Critical or High
SKILL.md
npx skills add https://github.com/wshobson/agents --skill multi-reviewer-patterns

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Listed on Skillselion
Installs7.4k
repo stars38.3k
Security audit3 / 3 scanners passed
Last updatedJuly 22, 2026
Repositorywshobson/agents

How do I run parallel security performance and architecture reviews without duplicate findings or inconsistent severity ratings?

Organize parallel multi-dimensional code reviews with finding deduplication, severity calibration, and consolidated reporting.

Who is it for?

Multi-agent or multi-reviewer PR reviews spanning security performance architecture testing and accessibility dimensions.

Skip if: Single-reviewer informal feedback, task decomposition for implementers, or automated CI lint-only gates without human review framing.

When should I use this skill?

User organizes multi-dimensional code review, deduplicates reviewer findings, calibrates severity, or needs a consolidated review report.

What you get

A consolidated review report with deduplicated findings calibrated severities per-dimension counts and prioritized recommendations.

  • Security review findings
  • Performance review findings
  • Quality review findings

By the numbers

  • Defines parallel review across 3 dimensions: security, performance, and quality

Files

SKILL.mdMarkdownGitHub ↗

Multi-Reviewer Patterns

Patterns for coordinating parallel code reviews across multiple quality dimensions, deduplicating findings, calibrating severity, and producing consolidated reports.

When to Use This Skill

  • Organizing a multi-dimensional code review
  • Deciding which review dimensions to assign
  • Deduplicating findings from multiple reviewers
  • Calibrating severity ratings consistently
  • Producing a consolidated review report

Review Dimension Allocation

Available Dimensions

DimensionFocusWhen to Include
SecurityVulnerabilities, auth, input validationAlways for code handling user input or auth
PerformanceQuery efficiency, memory, cachingWhen changing data access or hot paths
ArchitectureSOLID, coupling, patternsFor structural changes or new modules
TestingCoverage, quality, edge casesWhen adding new functionality
AccessibilityWCAG, ARIA, keyboard navFor UI/frontend changes

Recommended Combinations

ScenarioDimensions
API endpoint changesSecurity, Performance, Architecture
Frontend componentArchitecture, Testing, Accessibility
Database migrationPerformance, Architecture
Authentication changesSecurity, Testing
Full feature reviewSecurity, Performance, Architecture, Testing

Finding Deduplication

When multiple reviewers report issues at the same location:

Merge Rules

1. Same file:line, same issue — Merge into one finding, credit all reviewers 2. Same file:line, different issues — Keep as separate findings 3. Same issue, different locations — Keep separate but cross-reference 4. Conflicting severity — Use the higher severity rating 5. Conflicting recommendations — Include both with reviewer attribution

Deduplication Process

For each finding in all reviewer reports:
  1. Check if another finding references the same file:line
  2. If yes, check if they describe the same issue
  3. If same issue: merge, keeping the more detailed description
  4. If different issue: keep both, tag as "co-located"
  5. Use highest severity among merged findings

Severity Calibration

Severity Criteria

SeverityImpactLikelihoodExamples
CriticalData loss, security breach, complete failureCertain or very likelySQL injection, auth bypass, data corruption
HighSignificant functionality impact, degradationLikelyMemory leak, missing validation, broken flow
MediumPartial impact, workaround existsPossibleN+1 query, missing edge case, unclear error
LowMinimal impact, cosmeticUnlikelyStyle issue, minor optimization, naming

Calibration Rules

  • Security vulnerabilities exploitable by external users: always Critical or High
  • Performance issues in hot paths: at least Medium
  • Missing tests for critical paths: at least Medium
  • Accessibility violations for core functionality: at least Medium
  • Code style issues with no functional impact: Low

Consolidated Report Template

## Code Review Report

**Target**: {files/PR/directory}
**Reviewers**: {dimension-1}, {dimension-2}, {dimension-3}
**Date**: {date}
**Files Reviewed**: {count}

### Critical Findings ({count})

#### [CR-001] {Title}

**Location**: `{file}:{line}`
**Dimension**: {Security/Performance/etc.}
**Description**: {what was found}
**Impact**: {what could happen}
**Fix**: {recommended remediation}

### High Findings ({count})

...

### Medium Findings ({count})

...

### Low Findings ({count})

...

### Summary

| Dimension    | Critical | High  | Medium | Low   | Total  |
| ------------ | -------- | ----- | ------ | ----- | ------ |
| Security     | 1        | 2     | 3      | 0     | 6      |
| Performance  | 0        | 1     | 4      | 2     | 7      |
| Architecture | 0        | 0     | 2      | 3     | 5      |
| **Total**    | **1**    | **3** | **9**  | **5** | **18** |

### Recommendation

{Overall assessment and prioritized action items}

Related skills

How it compares

Use for structured multi-dimension pre-merge review; use single-reviewer skills for quick style or scope checks.

FAQ

Which dimensions should an API change review include?

Security Performance and Architecture per the recommended combinations table for API endpoint changes.

How are duplicate findings merged?

Same file line and same issue merge into one finding crediting all reviewers; conflicting severity uses the higher rating.

When is a security issue Critical?

When impact includes data loss security breach or complete failure with certain or very likely likelihood such as SQL injection or auth bypass.

Is Multi Reviewer Patterns safe to install?

skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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