Evaluate AI agent session quality against predefined universal dimensions.
npx skills add https://github.com/nicsuzor/academicOps --skill eval-nicsuzor
Please help me install this Agent Skill. Skill: eval Source: https://github.com/nicsuzor/academicOps/tree/main/aops-core/skills/eval Command: npx skills add https://github.com/nicsuzor/academicOps --skill eval-nicsuzor
This Skill provides a structured framework for evaluating the quality of AI agent sessions, ensuring consistent and objective performance assessment.
Evaluate the quality of the last agent session using the eval skill.
High-intent search queries and answers about installing and using this skill.
To evaluate AI agent session quality, apply a structured framework with predefined dimensions like Intent Understanding and Scope Appropriateness to score performance against universal quality principles.
Key dimensions for autonomous agent performance assessment include Intent Understanding, Scope Appropriateness, and other universal quality principles designed to measure response accuracy and task alignment.
Extract raw session data for quality assurance by running the included extraction script, which gathers the structured session data required for accurate evaluation scoring.
Yes, you can use this predefined evaluation framework for iterative improvement of coding agents by scoring their complex task responses and identifying specific areas needing refinement.
Yes, agent session analysis requires structured session data to ensure accurate scoring and adherence to universal quality principles during the evaluation process.
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