qa-validation

Validate SDTM datasets for CDISC conformance and generate Define-XML 2.1 metadata.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/siddharthchauhan/ETL --skill qa-validation-siddharthchauhan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: qa-validation
Source: https://github.com/siddharthchauhan/ETL/tree/main/sdtm_pipeline/deepagents/skills/qa-validation
Command: npx skills add https://github.com/siddharthchauhan/ETL --skill qa-validation-siddharthchauhan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Clinical trial data must meet CDISC SDTM standards and regulatory Define-XML requirements for submission. Validation is complex, multi-layered, and error-prone when performed manually across ETL phases. This skill automates and standardizes those checks to reduce risk and accelerate approvals.

Core Features & Use Cases

  • Comprehensive multi-layer validation across structural, conformance, cross-domain, and semantic checks.
  • Define-XML 2.1 generation with metadata, leaf documents, and Annotated CRF references.
  • Pinnacle 21 integration for regulatory rule checks and scoring.
  • Detailed issue reporting, remediation guidance, and submission-readiness scoring.

Quick Start

Validate the SDTM dataset bundle and generate Define-XML 2.1 metadata along with a conformance report.

Frequently Asked Questions about qa-validation

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

FAQPage Schema
How do I validate SDTM datasets for CDISC conformance?

To validate SDTM datasets for CDISC conformance, this skill performs multi-layer structural, cross-domain, and semantic checks across the pipeline, providing detailed issue reporting and remediation guidance to ensure regulatory submission readiness.

What is Define-XML 2.1 generation and when do I need it?

Define-XML 2.1 generation creates regulatory metadata, leaf documents, and Annotated CRF references required for CDISC submission packages. You need it to package standardized trial data for regulatory authority review and approval.

Can I use Pinnacle 21 integration for regulatory rule checks?

Yes, Pinnacle 21 integration is supported as an optional feature for executing regulatory rule checks and generating a submission-readiness scoring framework suitable for audits and submission decision-making.

Does this SDTM validation tool check cross-domain integrity and trial design?

Yes, the SDTM validation tool performs cross-domain integrity verification and trial design validation alongside structural and semantic checks to enforce standardized rules across the entire dataset bundle.

What's the best way to prepare SDTM datasets for regulatory audits?

The best way to prepare SDTM datasets for regulatory audits is to run comprehensive multi-layer validation, generate Define-XML 2.1 metadata, and use the scoring framework to assess submission readiness and resolve identified issues.

Why does SDTM validation fail and how are issues reported?

SDTM validation fails when datasets break CDISC structural, conformance, or semantic rules. The skill reports these issues with detailed remediation guidance so you can correct data quality problems before submission.