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Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting.
Passed 23 of 24 test cases with the skill, and 15 of 24 without it.
and 8 more in the full report
8 fixed15 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
What header metadata fields must be included at the top of a consolidated multi-reviewer code review report?
| Checked | Without skill | With skill |
|---|---|---|
| Includes Target, Reviewers, Date, and Files Reviewed in the report header metadata. | Missed | Passed |
The instructions your model reads when the skill loads.
Patterns for coordinating parallel code reviews across multiple quality dimensions, deduplicating findings, calibrating severity, and producing consolidated reports.
| 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 |
| 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 |
When multiple reviewers report issues at the same location:
test cases passed, vs 15 / 24 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.