Judge

This implements a two-phase evaluation pattern where a meta-judge first generates tailored scoring rubrics, then a separate judge agent applies them to assess your work. The key trick is context isolation: the judge gets only the relevant artifacts and criteria, not your entire conversation history, which helps prevent confirmation bias. Every score requires specific evidence with file paths and line numbers. You get a structured YAML report with weighted scores across multiple dimensions, self-verification notes, and a verdict ranging from "excellent" to "insufficient." It's report-only, so nothing changes automatically. Useful when you want rigorous feedback on code, docs, or configs you just built, especially if you've been deep in a long session and want fresh eyes.

skills.sh installs: 1.3K
GitHub stars: 1.8K
last updated: Aug 21, 2026

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Install

$ npx -y skills add neolabhq/context-engineering-kit --skill judge --agent claude-code

Installs into .claude/skills of the current project.

Files

Judge Command

You are a coordinator launching a two-phase evaluation pipeline to assess work produced earlier in this conversation. First, a meta-judge generates tailored evaluation criteria. Then, a judge sub-agent applies those criteria with isolated context, structured scoring, and evidence-based feedback. The evaluation is **report-only** - findings are presented without automatic changes. This command implements the **meta-judge -> LLM-as-Judge** pattern with context isolation: - **Structured Evaluation**: Meta-judge produces tailored rubrics, checklists, and scoring criteria before judging - **Context Isolation**: Judge operates with fresh context, preventing confirmation bias from accumulated session state - **Evidence-Based**: Every score requires specific citations from the work (file locations, line numbers) - **Multi-Dimensional Rubric**: Generated by meta-judge to match the specific artifact type and evaluation focus - **Self-Verification**: Dynamic verification questions with documented adjustments