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format_validation

Validate TALD FTD analysis JSONL records for structural and semantic correctness.

Updated Nov 18, 2025
Search Tags:#screening#validate#JSONL#FTD#TALD#domain-scores
One-click install
npx skills add https://github.com/Kikolo3000/topsy_databaseprocessing-agent --skill format-validation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: format_validation
Source: https://github.com/Kikolo3000/topsy_databaseprocessing-agent/tree/main/skills/format_validation
Command: npx skills add https://github.com/Kikolo3000/topsy_databaseprocessing-agent --skill format-validation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides robust validation for Formal Thought Disorder (FTD) analysis outputs generated with the TALD scale. It ensures structural integrity, domain coverage, and data consistency across JSONL records, enabling reliable downstream analysis.

Core Features & Use Cases

  • Validates JSONL format (one JSON object per line) and detects parsing errors.
  • Ensures every record includes all 16 TALD domains with valid scores (0-4) and a complete rationale for scored/flagged domains.
  • Verifies screening structure consistency, ISO 8601 timestamps, and optional completeness checks against input records to confirm all interventions were processed.

Quick Start

Run the validation on a produced output file and, if provided, compare against the corresponding input file to verify completeness and correctness.

Frequently Asked Questions about format_validation

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

FAQPage Schema
How do I validate TALD FTD analysis outputs for structural correctness in JSONL format?▼

Validate TALD FTD analysis outputs by parsing JSONL records to ensure each line is a valid JSON object and checking for parsing errors. This confirms structural integrity across the dataset for reliable downstream analysis.

What checks are needed to ensure all 16 TALD domains have valid scores and rationale entries?▼

Ensuring TALD domain completeness requires verifying all 16 domains exist with integer scores 0-4. Validation checks enforce proper rationale entries for any scored or flagged domains to confirm semantic accuracy.

Does JSONL validation support checking ISO 8601 timestamps and screening consistency?▼

JSONL validation supports checking ISO 8601 timestamps and screening structure consistency. It verifies timestamp formats and ensures screening data aligns correctly across all processed records.

Can I compare FTD output records against input files to verify completeness?▼

You can compare FTD output records against input files to verify completeness. The validation optionally checks that all interventions from the input file were processed and included in the output records.

What happens if a JSONL record is missing exclusion data or scratchpad fields?▼

If a JSONL record is missing exclusion data or scratchpad fields, validation flags the record for incomplete data. The validator checks that all required fields, including exclusion and scratchpad data, are present.

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