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Confidence Evaluator

Listed
davjdk·vlatest·other

This tool assesses the certainty level of a given text, highlighting potential overconfidence or uncertainty for improved accuracy and nuanced understanding.

Install on your platform

This skill no longer installs under the name confidence-evaluator. davjdk/thermocalcbot is deleted or private, so it cannot be installed from.

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Repository install instructions

What we know about this skill

Publisher

davjdk

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

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Not scanned. repository not found or private Source recorded as davjdk/thermocalcbot.
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About this skill

What it does

The confidence-evaluator skill assesses the certainty level of an AI agent's responses. It provides a numerical score representing the agent’s confidence, along with explanations for that assessment. This allows users to understand not only what the agent says but also how sure it is about its answer.

When to use it

  • Critical Decision Making: Evaluate AI-generated recommendations in scenarios where accuracy is paramount (e.g., medical diagnoses, financial advice).
  • Complex Reasoning Tasks: Gauge the reliability of answers when dealing with nuanced or ambiguous questions requiring intricate analysis.
  • Educational Applications: Help users understand the limitations of AI and learn to critically evaluate information provided by agents.
  • Debugging Agent Behavior: Identify areas where an agent lacks sufficient knowledge or struggles with specific types of queries.

Key capabilities

  • Confidence scoring (numerical representation)
  • Explanation generation (justification for confidence level)

Example prompts

  • "Assess the confidence of this statement: [AI agent's response]"
  • "How confident is the AI in its answer to the question, 'What is the capital of France?'"
  • "Evaluate the certainty level of the following explanation: [AI agent’s explanation]"

Tips & gotchas

The skill’s accuracy depends on the quality and clarity of the AI agent's original response. It's best used in conjunction with other skills to validate information, rather than as a sole source of truth.