multi-reviewer-patterns — quality + safety report

In the Skillier index (wshobson-agents__multi-reviewer-patterns) · scanned 2026-06-03 · engine: builtin+triage

A
Quality
98/100
Safety

✓ Clean — no heuristic safety flags surfaced.

Heuristic flags from the builtin scanner, which is known to over-flag (it trips on legitimate env-reading integrations, security skills, and library .eval calls). This is NOT an authoritative malicious verdict — re-scan with SkillSpector for the authoritative result. Run the authoritative scan →

Skillproof quality grade A

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Quality notes

No explicit output format / contract
low · quality · body
→ State the expected output format (structure, sections, or schema).

About this skill

Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting. Use this skill when organizing multi-reviewer code reviews, calibrating finding severity, or consolidating review results.

📄 Read the SKILL.md
---
name: multi-reviewer-patterns
description: Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting. Use this skill when organizing multi-reviewer code reviews, calibrating finding severity, or consolidating review results.
version: 1.0.2
---

# 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 findings
```

## Severity 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

```markdown
## 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}
```
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Graded independently by Skillproof — nothing to sell the author. Quality is mechanical + corpus-grounded; safety flags are heuristic (builtin+triage), not a malicious verdict.