Confidence Evaluator
ListedThis tool assesses the certainty level of a given text, highlighting potential overconfidence or uncertainty for improved accuracy and nuanced understanding.
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confidence-evaluator. davjdk/thermocalcbot is deleted or private, so it cannot be installed from.We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-25. We don't show a command we know will fail.
What we know about this skill
Publisher
davjdk
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Install target
Live repository
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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.