What does hclr do?
HCLR - Human Cognitive Leverage Ratio: Evaluate the degree of influence AI users have on model outputs.
HCLR - Human Cognitive Leverage Ratio: Evaluate the degree of influence AI users have on model outputs.
The HCLR (Human Cognitive Leverage Ratio) skill, developed by tri-chinaroot, is designed to assess and quantify the influence an AI user exerts on the outputs generated by an AI model. This skill is particularly valuable for understanding human-AI interaction dynamics, helping developers, researchers, and power users evaluate how much their inputs, instructions, or cognitive guidance shape the final outcomes versus the model's autonomous generation. Supported across major AI agent platforms, HCLR provides a systematic framework based on the skill's documentation (SKILL.md) to measure factors like prompt specificity, iterative refinement, and user intervention depth. By calculating this ratio, users can optimize their collaboration with AI systems, identify areas for improvement in prompts or workflows, and gain insights into the balance between human direction and model autonomy.
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HCLR - Human Cognitive Leverage Ratio: Evaluate the degree of influence AI users have on model outputs.
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