Define rubrics, manage test sets, and analyze agent performance.
npx skills add https://github.com/jaydubya818/Dental_Agent --skill evaluation-jaydubya818
Please help me install this Agent Skill. Skill: evaluation Source: https://github.com/jaydubya818/Dental_Agent/tree/main/.claude/skills/evaluation Command: npx skills add https://github.com/jaydubya818/Dental_Agent --skill evaluation-jaydubya818
This Skill provides a structured approach to evaluating the performance and quality of AI agent systems, ensuring reliability and identifying areas for improvement.
Use the evaluation skill to run the standard test set and report on agent performance.
High-intent search queries and answers about installing and using this skill.
Evaluate AI agent performance by defining rubrics and running predefined test sets to measure factual accuracy, completeness, and tool efficiency, ensuring you catch regressions against a baseline before deployment.
Agent testing rubrics should include multi-dimensional scoring for factual accuracy, completeness, citation accuracy, source quality, and tool efficiency to validate context engineering and agent configurations comprehensively.
Measure agent quality systematically by defining test cases, executing them against your agent system, and comparing performance metrics against a baseline to identify regressions using multi-dimensional rubrics.
Yes, you can validate context engineering configurations by running comprehensive performance analyses that apply multi-dimensional scoring rubrics to test sets, ensuring your agent system meets factual accuracy and efficiency standards.
Run test cases for agent performance analysis by utilizing a structured evaluation framework that defines test sets, applies multi-dimensional rubrics, and reports on metrics like citation accuracy and tool efficiency.
You need a structured evaluation framework for quality assurance when deploying new agent features, validating context engineering, or identifying performance improvements through systematic testing and multi-dimensional rubric scoring.
NicolasPadovamDevelop, evaluate, and optimize custom agent skills within the Opensquad framework.
coval-aiAnalyze Coval audio-quality reports to identify performance regressions and recommend fixes.
mhismail3Construct evaluation suites with multi-dimensional rubrics and automated scoring for agent systems.
SyntaxAsSpiralEvaluate agent systems using rubric-based scoring across test sets.
