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clinical-assessment

Score PHQ-9 and GAD-7 responses into severity labels and RCI classifications.

33|6|Updated Mar 17, 2026
Search Tags:#data visualization#psychometrics#phq-9#gad-7#longitudinal analysis#clinical scoring#rci
One-click install
npx skills add https://github.com/xjtulyc/awesome-rosetta-skills --skill clinical-assessment
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: clinical-assessment
Source: https://github.com/xjtulyc/awesome-rosetta-skills/tree/main/skills/11-psychology/clinical-assessment
Command: npx skills add https://github.com/xjtulyc/awesome-rosetta-skills --skill clinical-assessment

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the problem of turning raw item responses from common clinical questionnaires into standardized severity scores and evidence-based pre-to-post change decisions using Reliable Change Index (RCI) and norm-style interpretation.

Core Features & Use Cases

  • Questionnaire scoring with severity cutoffs: Scores PHQ-9, GAD-7, PCL-5, BDI-II, and SWLS from item-level data and assigns severity labels using published thresholds.
  • Reliable Change Index (RCI) & clinical significance classification: Computes RCI using reliability (test-retest) and scale standard deviation assumptions, then classifies outcomes (Recovered, Improved, Unchanged, Deteriorated) with cutoff crossing logic.
  • Missing-item prorating and longitudinal visualization: Handles up to a small number of missing items via prorated scoring and generates individual and group longitudinal trajectory plots for tracking outcomes over time.

Quick Start

Use the clinical-assessment Skill to batch-score PHQ-9 and GAD-7 item columns from your participant data, compute RCI for each person between two time points, and generate longitudinal trajectory plots of symptom change.

Frequently Asked Questions about clinical-assessment

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

FAQPage Schema
How do I compute the Reliable Change Index for PHQ-9 and GAD-7 scores?▼

To compute the Reliable Change Index (RCI) for PHQ-9 and GAD-7 scores, the tool applies test-retest reliability and scale standard deviation assumptions to classify pre-post changes as Recovered, Improved, Unchanged, or Deteriorated using cutoff crossing logic.

What is the best way to batch score clinical questionnaire data with severity cutoffs?▼

Batch scoring clinical questionnaire data with severity cutoffs involves processing wide-format datasets to calculate standardized totals from item-level responses and assigning severity labels using published thresholds for scales like PHQ-9, GAD-7, PCL-5, BDI-II, and SWLS.

Can I prorate missing items when scoring longitudinal psychometric assessments?▼

Yes, you can prorate missing items when scoring longitudinal psychometric assessments; the tool handles a small number of missing items via prorated scoring to ensure continuous standardized total calculation without dropping incomplete records.

How do I visualize individual and group longitudinal symptom trajectories?▼

To visualize individual and group longitudinal symptom trajectories, the tool generates trajectory plots from batch-scored clinical questionnaire data, allowing you to track symptom change outcomes over multiple time points for both individual participants and group means.

Does this tool support longitudinal analysis of PCL-5 and BDI-II scales?▼

Yes, longitudinal analysis of PCL-5 and BDI-II scales is supported; the tool scores these specific clinical questionnaires from item-level data, computes reliable change, and visualizes pre-post symptom trajectories using predefined cutoffs.

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