Circumstantiality

Classify speech fragments as Circumstantiality or No Circumstantiality with severity ratings.

Updated Nov 18, 2025

Search Tags:#classification #circumstantiality #NO-CIRC #speech analysis #clinical assessment #CIRC #linguistic thought disorder

Ready to run

npx skills add https://github.com/Kikolo3000/topsy_databaseprocessing-agent --skill circumstantiality

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Circumstantiality
Source: https://github.com/Kikolo3000/topsy_databaseprocessing-agent/tree/main/skills/CIR
Command: npx skills add https://github.com/Kikolo3000/topsy_databaseprocessing-agent --skill circumstantiality

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps clinicians and researchers determine whether spoken language demonstrates circumstantiality, guiding structured assessment of language thought disorder.

Core Features & Use Cases

Automated classification of speech fragments as CIRC or NO-CIRC.
Works with short utterances or longer interview transcripts.
Use Case: A clinician reviews a transcript and the AI labels CIRC vs NO-CIRC with a concise justification based on defined criteria.

Quick Start

Provide a speech fragment and request classification: Is this Circumstantiality (CIRC) or No Circumstantiality (NO-CIRC)? The assistant returns a verdict with a brief rationale.

Frequently Asked Questions about Circumstantiality

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I classify circumstantiality in clinical speech transcripts?▼

To classify circumstantiality in clinical speech transcripts, provide a multi-sentence speech fragment to the classifier. It returns a CIRC or NO-CIRC verdict with a brief rationale and severity rating based on defined criteria.

What is circumstantiality in linguistic thought disorder assessment?▼

Circumstantiality in linguistic thought disorder assessment is a speech pattern where excessive unnecessary details obscure the main point. This classifier evaluates transcripts to label these patterns as CIRC or NO-CIRC with a concise justification.

Can I use automated speech analysis for short clinical interview utterances?▼

Yes, you can use automated speech analysis for short clinical interview utterances. The classifier processes both short utterances and longer interview transcripts to determine if circumstantiality is present.

Does the circumstantiality classifier require specific transcript formats?▼

The circumstantiality classifier does not require specific transcript formats. You simply provide the raw speech fragment text, and it applies structured criteria-based analysis to return the CIRC or NO-CIRC classification.

Are there limitations when evaluating circumstantiality in single sentences?▼

When evaluating circumstantiality in single sentences, context may be limited. The classifier is designed for clinical interviews with multiple sentences where language-thought disorders are being evaluated for accurate CIRC or NO-CIRC verdicts.

What is the best way to assess language-thought disorders in clinical interviews?▼

The best way to assess language-thought disorders in clinical interviews is using criteria-based automated classification. This tool analyzes transcripts and returns a verdict with a severity rating if circumstantiality is detected.