reClaim: Turn a Frontier Model Into a Research Agent With Confidence Scores
Scores every claim on three axes (A: sources / B: counterevidence / C: completeness), plus a 4-tier source hierarchy, adversarial self-poking, and 4 output modes.
Confidence broken into 3 axes [A:xx B:xx C:xx → Overall], sources ranked Tier A (peer-review) to Tier D (blogs), contradictions documented not averaged, adversarial check forced
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The original author open-sourced it at github.com/tobs-code/prompts/tree/main/reClaim, with both English and German versions. It hits the exact pain point of "after asking ChatGPT, I don't know what I can trust outright and what I need to Google to verify": it forces the model to lay its confidence bare, distinguish source tiers, and run an adversarial self-poke. Especially useful for due diligence, investment decisions, medical questions, and legal questions.
Structured 信心評分 + 來源 tier 標註的答案、contradictions 不被平均掉而是攤開、有 adversarial 反證過、知道哪些可信哪些要 verify
A description of the intended result. Check this entry's testing notes and try the prompt with your own inputs.
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