aras-novelty-assessor

This skill evaluates topic saturation by comparing your research against competing papers, generating a novelty score and structured pivot-angle ideas within a strict JSON artifact.

Automated novelty evaluation replaces manual subjective checks by structuring the assessment against existing literature, producing reproducible results with viability flags for the abstract, introduction, and related work sections.

You can generate pivot ideas by running a novelty assessment; the skill identifies topic saturation against adjacent domains and provides justified pivot options with validation flags for your paper sections.

Yes, researchers, reviewers, and grant proposers can use this assessment to ensure defensible novelty claims and document decision rationales for literature reviews and funding applications.

The output is a strict, json_parseable artifact containing original_topic, selected_angle, novelty_score, competing_papers, pivot_reason, pivot_performed, and a section_validation object with viability flags.

No external dependencies are required to run the novelty assessment; the skill operates independently to evaluate topic saturation and generate structured JSON outputs with pivot justifications.