claim-label-prediction

Judge a three-way SUPPORTS/REFUTES/NOINFO label for an atomic claim, based only on its selected rationale sentences (SciFact's final classification step). Use this after rationale-selection has produced the evidence sentences — this is the terminal step of the SciFact chain, producing the complete (claim, abstract, label, rationale) tuple.

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Repositório: yogsoth-ai/de-anthropocentric-research-engine
Última atividade na origem: 8 de agosto de 2026 às 04:26
Idioma detectado do SKILL.md: inglês
Estrelas: 373
Forks: 32

Opções de instalação

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npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill claim-label-prediction

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2 arquivos

SKILL.md

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adversarial-debate-truthseeking

Strategy: Dialectic engine retuned for truth-seeking, not survival. A defender steelmans a claim into its MOST falsifiable form, a critic attacks to refute it, a judge classifies the exchange into BROKEN/CORROBORATED/UNFALSIFIABLE — the judge does NOT pick a winner or score persuasiveness. Methods: Irving debate (repurposed), Toulmin argumentation, Mayo severe testing.

2026-08-09

adversarial-stress-testing

Campaign: Logical extreme and boundary testing via reductio ad absurdum and edge-case analysis. Core question: Does this artifact collapse under logical limits and boundary conditions? Methods: Lakatos 1976, Dutilh Novaes 2016, BVA, Flyvbjerg Critical Case, Popper.

2026-08-09

argument-mapping

Campaign for mapping argument structures — extract claims, link evidence, assess strength, synthesize positions. Produces argument graphs in the wiki vault.

2026-08-09

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name	claim-label-prediction
description	Judge a three-way SUPPORTS/REFUTES/NOINFO label for an atomic claim, based only on its selected rationale sentences (SciFact's final classification step). Use this after rationale-selection has produced the evidence sentences — this is the terminal step of the SciFact chain, producing the complete (claim, abstract, label, rationale) tuple.
version	1.0.0
category	paper-reading
type	sop
execution	subagent
prompt	./prompt.md
input	atomic_claim (string), rationale_sentences (list of strings)

name	claim-label-prediction
description	Judge a three-way SUPPORTS/REFUTES/NOINFO label for an atomic claim, based only on its selected rationale sentences (SciFact's final classification step). Use this after rationale-selection has produced the evidence sentences — this is the terminal step of the SciFact chain, producing the complete (claim, abstract, label, rationale) tuple.
version	1.0.0
category	paper-reading
type	sop
execution	subagent
prompt	./prompt.md
input	atomic_claim (string), rationale_sentences (list of strings)

claim-label-prediction

Opções de instalação

Revise os arquivos de origem