
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)
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
What multi-reviewer-patterns says it does
Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting.
Security vulnerabilities exploitable by external users: always Critical or High
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| Installs | 7.4k |
|---|---|
| repo stars | ★ 38.3k |
| Security audit | 3 / 3 scanners passed |
| Last updated | July 22, 2026 |
| Repository | wshobson/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
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
| Dimension | Focus | When to Include |
|---|---|---|
| Security | Vulnerabilities, auth, input validation | Always for code handling user input or auth |
| Performance | Query efficiency, memory, caching | When changing data access or hot paths |
| Architecture | SOLID, coupling, patterns | For structural changes or new modules |
| Testing | Coverage, quality, edge cases | When adding new functionality |
| Accessibility | WCAG, ARIA, keyboard nav | For UI/frontend changes |
Recommended Combinations
| Scenario | Dimensions |
|---|---|
| API endpoint changes | Security, Performance, Architecture |
| Frontend component | Architecture, Testing, Accessibility |
| Database migration | Performance, Architecture |
| Authentication changes | Security, Testing |
| Full feature review | Security, 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 findingsSeverity Calibration
Severity Criteria
| Severity | Impact | Likelihood | Examples |
|---|---|---|---|
| Critical | Data loss, security breach, complete failure | Certain or very likely | SQL injection, auth bypass, data corruption |
| High | Significant functionality impact, degradation | Likely | Memory leak, missing validation, broken flow |
| Medium | Partial impact, workaround exists | Possible | N+1 query, missing edge case, unclear error |
| Low | Minimal impact, cosmetic | Unlikely | Style 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}Review Dimension Checklists
Detailed checklists for each review dimension that reviewers follow during parallel code review.
Security Review Checklist
Input Handling
- [ ] All user inputs are validated and sanitized
- [ ] SQL queries use parameterized statements (no string concatenation)
- [ ] HTML output is properly escaped to prevent XSS
- [ ] File paths are validated to prevent path traversal
- [ ] Request size limits are enforced
Authentication & Authorization
- [ ] Authentication is required for all protected endpoints
- [ ] Authorization checks verify user has permission for the action
- [ ] JWT tokens are validated (signature, expiry, issuer)
- [ ] Password hashing uses bcrypt/argon2 (not MD5/SHA)
- [ ] Session management follows best practices
Secrets & Configuration
- [ ] No hardcoded secrets, API keys, or passwords
- [ ] Secrets are loaded from environment variables or secret manager
- [ ] .gitignore includes sensitive file patterns
- [ ] Debug/development endpoints are disabled in production
Dependencies
- [ ] No known CVEs in direct dependencies
- [ ] Dependencies are pinned to specific versions
- [ ] No unnecessary dependencies that increase attack surface
Performance Review Checklist
Database
- [ ] No N+1 query patterns
- [ ] Queries use appropriate indexes
- [ ] No SELECT \* on large tables
- [ ] Pagination is implemented for list endpoints
- [ ] Connection pooling is configured
Memory & Resources
- [ ] No memory leaks (event listeners cleaned up, streams closed)
- [ ] Large data sets are streamed, not loaded entirely into memory
- [ ] File handles and connections are properly closed
- [ ] Caching is used for expensive operations
Computation
- [ ] No unnecessary re-computation or redundant operations
- [ ] Appropriate algorithm complexity for the data size
- [ ] Async operations used where I/O bound
- [ ] No blocking operations on the main thread
Architecture Review Checklist
Design Principles
- [ ] Single Responsibility: each module/class has one reason to change
- [ ] Open/Closed: extensible without modification
- [ ] Dependency Inversion: depends on abstractions, not concretions
- [ ] No circular dependencies between modules
Structure
- [ ] Clear separation of concerns (UI, business logic, data)
- [ ] Consistent error handling strategy across the codebase
- [ ] Configuration is externalized, not hardcoded
- [ ] API contracts are well-defined and versioned
Patterns
- [ ] Consistent patterns used throughout (no pattern mixing)
- [ ] Abstractions are at the right level (not over/under-engineered)
- [ ] Module boundaries align with domain boundaries
- [ ] Shared utilities are actually shared (no duplication)
Testing Review Checklist
Coverage
- [ ] Critical paths have test coverage
- [ ] Edge cases are tested (empty input, null, boundary values)
- [ ] Error paths are tested (what happens when things fail)
- [ ] Integration points have integration tests
Quality
- [ ] Tests are deterministic (no flaky tests)
- [ ] Tests are isolated (no shared state between tests)
- [ ] Assertions are specific (not just "no error thrown")
- [ ] Test names clearly describe what is being tested
Maintainability
- [ ] Tests don't duplicate implementation logic
- [ ] Mocks/stubs are minimal and accurate
- [ ] Test data is clear and relevant
- [ ] Tests are easy to understand without reading the implementation
Accessibility Review Checklist
Structure
- [ ] Semantic HTML elements used (nav, main, article, button)
- [ ] Heading hierarchy is logical (h1 → h2 → h3)
- [ ] ARIA roles and properties used correctly
- [ ] Landmarks identify page regions
Interaction
- [ ] All functionality accessible via keyboard
- [ ] Focus order is logical and visible
- [ ] No keyboard traps
- [ ] Touch targets are at least 44x44px
Content
- [ ] Images have meaningful alt text
- [ ] Color is not the only means of conveying information
- [ ] Text has sufficient contrast ratio (4.5:1 for normal, 3:1 for large)
- [ ] Content is readable at 200% zoom
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.