Evaluate AI agent output quality using structured metrics and regression tests.
npx skills add https://github.com/truongnat/aix --skill agent-evaluation-pro
Please help me install this Agent Skill. Skill: agent-evaluation-pro Source: https://github.com/truongnat/aix/tree/main/content/skills/agent-evaluation-pro Command: npx skills add https://github.com/truongnat/aix --skill agent-evaluation-pro
This Skill streamlines the evaluation and improvement of AI agent output quality, including regression testing, red-teaming, and CI/CD integration.
Run the 'agent-evaluation-pro' skill to evaluate the output quality of the AI agent for the 'evaluate agent' task.
High-intent search queries and answers about installing and using this skill.
Set up regression testing for AI agent outputs by running golden datasets against known baselines to measure correctness, latency, cost, and safety. This structured evaluation ensures quality assurance by detecting performance deviations automatically.
AI agent evaluation uses structured metrics to measure output correctness, response latency, operational cost, and safety. These quantifiable measurements provide a comprehensive quality assessment for deployed agents.
Integrate AI evaluation pipelines into CI/CD workflows to act as deployment gates, automatically blocking bad outputs. This ensures only agents passing regression tests and red-teaming checks reach production environments.
Run red-teaming security tests on AI agents to actively uncover vulnerabilities and safety issues. This process evaluates agent outputs against adversarial scenarios to ensure robust security before deployment.
Block bad AI agent outputs automatically during deployment by integrating structured evaluation pipelines into CI/CD workflows. This deployment gate mechanism prevents regressions and unsafe responses from reaching production.
Measure AI agent correctness and safety using structured metrics alongside golden datasets for regression testing. This approach quantifies output quality, ensuring agents meet predefined safety and performance baselines.
selcukyucelGenerate structured evaluation datasets with binary rubric scoring for AI outputs.
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infantesromeroadrianAutomates security assessments and red teaming in CI/CD pipelines via GitHub Actions, GitLab CI, Jenkins, and scanning tools.
EnztunVet AI skills for security vulnerabilities, permission alignment, and code quality.
