Evaluate AI agent instruction files against an academic rubric.
npx skills add https://github.com/EATSTEAK/dotagents --skill evaluate-instructions
Please help me install this Agent Skill. Skill: evaluate-instructions Source: https://github.com/EATSTEAK/dotagents/tree/main/skills/evaluate-instructions Command: npx skills add https://github.com/EATSTEAK/dotagents --skill evaluate-instructions
This Skill addresses the challenge of creating high-quality, effective instructions for AI agents, ensuring they perform optimally and safely.
Evaluate the quality of the agent instructions found in the file '/path/to/your/AGENTS.md'.
High-intent search queries and answers about installing and using this skill.
Evaluating AI agent instructions involves scoring them across eight categories like structure, clarity, context, reasoning, and safety. This yields a quantitative score and actionable recommendations to refine agent behavior and performance.
Effective prompt engineering for agentic capabilities requires clear structure, defined reasoning steps, safety constraints, and feedback mechanisms. Evaluating these elements against academic research ensures instructions perform optimally and safely.
Refine AI agent instruction files by identifying specific weaknesses through quality assessment and applying prioritized, concrete suggestions for improvement. This can initiate an automated self-improvement cycle based on evaluation results.
Assessing instruction tuning requires no external dependencies. You simply provide your agent instruction file, and the skill evaluates it against academic best practices to generate a quality score and feedback.
The best way to score code quality in AI agent prompts is using a comprehensive rubric derived from academic research. This evaluates structure, context evolution, and reasoning to provide an objective, quantitative measure.
AI agent instructions may perform poorly if they lack robust feedback mechanisms, safety constraints, or proper reasoning steps. A quality assessment can identify these specific weaknesses and provide prioritized recommendations for improvement.
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