rate

What problem does it solve?

This Skill provides a structured, probabilistic assessment of a codebase or project by orchestrating multiple raters and adversaries to produce a final rating, helping teams gauge quality quickly.

Core Features & Use Cases

• Parallel multi-agent evaluation: spawns N raters to sample diverse aspects of the repository and produce individual ratings.
• Adversarial refinement: for each rater, K subagents generate adjusted reports that challenge the original assessment.
• Improve mode: optional flag that collects actionable improvements from subagents and includes them in the final synthesis.
• Final synthesis: aggregates surviving ratings into a single mean rating and provides a concise synthesis of strengths and gaps.

Quick Start

Invoke /rate in chat to obtain a probabilistic rating for your codebase.