Confidence Check
This skill assesses the plausibility of a statement by cross-referencing it with reliable sources, helping users verify information and avoid misinformation.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add microck-confidence-check npx -- -y @trustedskills/microck-confidence-check
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"microck-confidence-check": {
"command": "npx",
"args": [
"-y",
"@trustedskills/microck-confidence-check"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The Confidence Check skill assesses the certainty of an AI agent's responses. It provides a confidence score, ranging from 0 to 100, indicating how sure the agent is about its answer. This allows users to gauge the reliability of information and determine if further verification is needed.
When to use it
- Fact Verification: When you need to confirm the accuracy of an AI-generated statement before acting on it.
- Complex Reasoning: When dealing with intricate questions where multiple interpretations are possible, assess how confident the agent is in its chosen path.
- Decision Making: Use the confidence score as one factor when making decisions based on information provided by the AI agent.
- Identifying Knowledge Gaps: Low confidence scores can highlight areas where the agent's knowledge is limited or uncertain.
Key capabilities
- Provides a numerical confidence score (0-100).
- Evaluates certainty in responses.
- Helps assess reliability of AI output.
Example prompts
- "What is the capital of France? Confidence Check."
- "Explain quantum entanglement. Provide a Confidence Check after your explanation."
- "Summarize this article: [article link]. Please also give me a confidence score for the summary."
Tips & gotchas
The skill relies on the underlying AI model's ability to self-assess; therefore, its accuracy is dependent on the model itself. A high confidence score doesn’t guarantee correctness, and a low score doesn’t necessarily mean the information is wrong – it just means the agent isn't sure.
Tags
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