Label AI-generated claims with confidence levels and trace their sources.
npx skills add https://github.com/TylerGarlick/abraxas --skill honest
Please help me install this Agent Skill. Skill: honest Source: https://github.com/TylerGarlick/abraxas/tree/main/skills/honest Command: npx skills add https://github.com/TylerGarlick/abraxas --skill honest
This Skill combats AI hallucination by making AI output transparent, labeling every claim with its confidence level and source, ensuring you can trust the information provided.
[KNOWN], [INFERRED], [UNCERTAIN], or [UNKNOWN]./audit to review the entire conversation and identify any claims that are not well-supported, ensuring your final conclusions are based on reliable information.Use the honest skill to check the last response for confidence labels.
High-intent search queries and answers about installing and using this skill.
Fact-checking AI-generated text involves labeling every claim with confidence levels like [KNOWN], [INFERRED], or [UNCERTAIN] and tracing its source origin. This process ensures transparency, allowing you to verify grounding and trust the output.
Confidence labeling tags every AI-generated statement as [KNOWN], [INFERRED], [UNCERTAIN], or [UNKNOWN]. This mechanism enforces epistemic discipline by making the reasoning boundaries transparent so you can assess claim reliability.
Auditing a conversation for fabricated claims requires running a session-wide review command. This scans the entire text to identify unlabeled or unsupported statements, ensuring your conclusions rely on verified information.
Yes, source tracing identifies the origin of AI claims to verify their factual grounding. By tracking where information comes from, you can distinguish between well-supported facts and potential hallucinations.
You need epistemic discipline when researching critical topics where accuracy is paramount. Applying confidence labels and context framing prevents hallucinations from undermining your final conclusions.
No, this fact-checking skill operates without external dependencies. It relies entirely on its internal scripts and references to provide confidence labels, source tracing, and session-wide auditing.
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