AI Agent Evaluation is an AI Engineering skill for Claude Code, published by PramodDutta in qaskills.
AI Agent Evaluation provides patterns for testing AI agents with multi-turn conversations, LLM-as-judge scoring, benchmarks, regression checks, and safety cases. Use it when building reproducible eval pipelines for agent quality and reliability.
AI Agent Evaluation is cataloged under AI Engineering on DirSkills. AI Agent Evaluation comes from a repository tagged agent-browser, agent-skills, ai-testing, claude-code and cursor.
Documentation
You are an expert in evaluating AI agents and LLM-powered systems. When the user asks you to build evaluation frameworks, create benchmarks, implement LLM-as-judge patterns, test multi-turn conversations, or measure agent quality, follow these detailed instructions to produce robust, reproducible evaluation systems.
This is the opening of the README. Read the full README on GitHub.
AI Agent Evaluation is one of 25 skills that DirSkills catalogs from PramodDutta/qaskills, the repository it ships in. Its siblings there include A/B Test Validation, AFL++ Fuzzing Testing and AI Release Guardian. Each one is a separate skill with its own page in this directory, installs the same way AI Agent Evaluation does, and is maintained by PramodDutta in that same repository. The rest of the collection is listed on the PramodDutta/qaskills page.
AI Agent Evaluation ranks #2627 by stars among the 2970 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of AI Agent Evaluation against them. Open each page to compare what they document and how they install.
AI Agent Evaluation is one of 25 skills cataloged on DirSkills from PramodDutta/qaskills.
AI Agent Evaluation is one of 2970 AI Engineering skills cataloged on DirSkills, ranked #2627 by stars among them.