ar-claim-builder

To build an evidence-based argument tree, this Skill constructs structured, evidence-grounded claims from provided evidence, mapping sub-claims to a main thesis while generating claim nodes and hedge levels for transparent reasoning.

A claim node is a structured unit grounded in specific evidence identifiers that maps supporting or opposing data to sub-claims. It supports transparent reasoning by making the evidentiary basis explicit and auditable for human review.

You detect overclaims and assign hedge levels by applying evidence-based discipline to the constructed claim nodes. This process surfaces contested claims and assigns appropriate hedge levels for subsequent human review.

Yes, you can export an argument tree as JSON. The workflow outputs an argument_tree.json file alongside claim files and an argument_summary.md, enabling automated analysis and integration into larger research workflows.

Yes, the argument builder supports human-in-the-loop decision gates. It generates debate needs and an argument summary specifically designed for Gate 4 review, ensuring transparent reasoning and human validation of contested claims.