Evaluate items using CYNIC's 25-dimension framework to produce a Q-Score and verdict.
npx skills add https://github.com/zeyxx/CYNIC --skill judge-zeyxx
Please help me install this Agent Skill. Skill: judge Source: https://github.com/zeyxx/CYNIC/tree/main/.claude/skills/judge Command: npx skills add https://github.com/zeyxx/CYNIC --skill judge-zeyxx
Evaluates any item using CYNIC's 25-dimension judgment system to produce a quantitative Q-Score, a qualitative verdict, and a detailed breakdown across the 25 dimensions.
Invoke the judge with the item you want evaluated, for example: /judge <item_to_evaluate>.
High-intent search queries and answers about installing and using this skill.
You can evaluate code quality using a 25-dimension judgment framework that outputs a quantitative Q-Score, a qualitative verdict, and a per-dimension breakdown to guide decisions and assess risks.
A multi-dimensional framework for content evaluation applies 25 dimensions across four axioms—PHI, VERIFY, CULTURE, and BURN—to produce a structured Q-Score, verdict, and detailed breakdown.
Yes, automated evaluation can judge decisions, patterns, or tokens by applying the 25-dimension framework to generate a Q-Score, a verdict, and a confidence level suitable for AI decision workflows.
To get a structured risk assessment for AI-generated tokens, apply a 25-dimension evaluation system that outputs a Q-Score, a qualitative verdict, and a detailed breakdown across four core axioms.
The best way to score content quality for AI workflows is using a 25-dimension judgment system that produces structured results, including a quantitative Q-Score and a qualitative verdict for integration.
No, the evaluation framework requires no external dependencies, allowing you to directly invoke the judgment skill on any item to obtain its Q-Score and 25-dimension breakdown.
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2300031147Aggregate code quality metrics into a weighted 0-10 health score dashboard.
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