Instantiate Advocate and Skeptic positions to test claims and generate Convergence Reports.
npx skills add https://github.com/TylerGarlick/abraxas --skill agon
Please help me install this Agent Skill. Skill: agon Source: https://github.com/TylerGarlick/abraxas/tree/main/skills/agon Command: npx skills add https://github.com/TylerGarlick/abraxas --skill agon
This Skill addresses the inherent bias in AI models towards single-voice reasoning by instantiating opposing viewpoints to rigorously test claims and reveal genuine points of agreement and divergence.
/agon debate to see if an Advocate can defend it and a Skeptic can find flaws, then review the Convergence Report to understand where the truth likely lies.Use the agon skill to debate the claim that AI will achieve general intelligence by 2030.
High-intent search queries and answers about installing and using this skill.
Steelman a weak claim by generating the strongest possible version of the hypothesis, while falsification identifies the precise conditions under which a strong claim would definitively fail.
Structured adversarial argumentation is a method of rigorously testing hypotheses by enforcing position asymmetry between opposing sides, needed when evaluating complex claims to overcome inherent AI single-voice reasoning bias.
Generate a Convergence Report after an adversarial debate to highlight specific areas of consensus, contention, and unresolved questions between opposing arguments, revealing where the truth likely lies.
Steelman a weak claim by generating the strongest possible version of the hypothesis, while falsification identifies the precise conditions under which a strong claim would definitively fail.
You can evaluate epistemic rigor without external dependencies by using enforced position asymmetry and Janus labeling to independently structure opposing viewpoints and test claims.
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