reviewer-framework

You standardize automated code reviews by applying a shared framework that defines confidence scoring thresholds, severity levels, and output formats. This ensures all reviewer agents produce consistent, repeatable findings across projects.

Inconsistent severity levels and duplicate findings occur when automated reviews lack a shared methodology. Applying a unified review framework enforces coalescing rules and deduplication, standardizing the output across all review skills.

The best way to set up confidence scoring thresholds is to load a preloaded review framework that defines them. This ensures uniform scoring reliability across all reviewer agents before processing begins.

Yes, you can use this review framework to coalesce findings from different reviewer agents. It defines deduplication rules and output formats used by the orchestrator to merge and report findings reliably.

No, this code review framework requires no dependencies to function. It operates as a preloaded structural methodology that underpins multiple reviewer agents without external package requirements.

You need a unified review framework when managing multiple reviewer agents or core review skills that must report findings consistently. Standalone tools lack shared coalescing rules and standardized confidence scoring across projects.