What happens if a score is outside the 0-4 range?

The validator will flag any score outside the integer range of [0-4] as a validation error, as this is the standard requirement for TALD evaluations.

What file format does this skill support?

This skill is specifically optimized for JSONL (JSON Lines) files, ensuring each line is a valid JSON object representing a clinical record.

What is the TALD scale mentioned in this skill?

The TALD (Thought and Language Disorder) scale is a clinical assessment tool used to evaluate Formal Thought Disorder across 16 specific domains like CIR, CLA, and CON.

Can I use this for general JSON validation?

While it performs standard JSON checks, it is highly specialized for FTD clinical data. For general formatting, a standard linter skill might be more appropriate.

Does it check for missing records?

Yes, if an input file path is provided, the skill cross-references IDs to ensure every input case has a corresponding validated output record.

FTD Analysis Output Validator

Name: FTD Analysis Output Validator
Author: Kikolo3000

byKikolo3000

Data Science & ML

Ensures the integrity of FTD analysis output by validating JSONL structures, TALD scale requirements, and clinical domain completeness.

About

The FTD Analysis Output Validator is a specialized skill designed to perform rigorous quality assurance on Formal Thought Disorder (FTD) data generated using the TALD scale. It automates the complex task of verifying that AI-generated analysis records meet strict structural and clinical criteria, including JSONL formatting, ID uniqueness, and valid integer scoring within the 0-4 range. By checking for all 16 mandatory TALD domains and ensuring rationales exist for every flagged observation, this skill minimizes data errors in clinical research and database processing workflows.

Key Features

Strict enforcement of TALD scale scoring (0-4) across 16 domains
Automated completeness checking against source input IDs
Validation of clinical rationales and scratchpad entries for flagged data
0 GitHub stars
Comprehensive JSONL structural and syntax validation
ISO 8601 timestamp verification and logical consistency checks

Use Cases

Standardizing database entries for TALD scale evaluations
Quality assurance for AI-driven clinical assessment pipelines
Validating research data exports for Formal Thought Disorder studies

About

Key Features

Strict enforcement of TALD scale scoring (0-4) across 16 domains
Automated completeness checking against source input IDs
Validation of clinical rationales and scratchpad entries for flagged data
0 GitHub stars
Comprehensive JSONL structural and syntax validation
ISO 8601 timestamp verification and logical consistency checks

Use Cases

Standardizing database entries for TALD scale evaluations
Quality assurance for AI-driven clinical assessment pipelines
Validating research data exports for Formal Thought Disorder studies