dicom-conformance-validator
DICOM conformance testing and integration skill for medical imaging systems
npx skills add a5c-ai/babysitter --skill dicom-conformance-validator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# DICOM Conformance Validator Skill ## Purpose The DICOM Conformance Validator Skill supports DICOM conformance testing and interoperability validation for medical imaging systems, ensuring proper implementation of DICOM standards and IHE profiles. ## Capabilities - DICOM Conformance Statement generation - Service class (SCP/SCU) implementation verification - PACS integration testing - IHE profile conformance checking - Worklist integration validation - WADO-RS/DICOMweb compliance - HL7 FHIR integration support - Network configuration testing - Transfer syntax verification - Character set handling - Query/retrieve validation ## Usage Guidelines ### When to Use - Validating DICOM implementation - Preparing conformance statements - Testing PACS integration - Verifying IHE profile compliance ### Prerequisites - DICOM implementation complete - Test environment configured - Target system interfaces defined - IHE profile requirements identified ### Best Practices - Test with representative datasets - Validate all claimed SOP classes - Verify edge cases and error handling - Document deviations from standard ## Process Integration This skill integrates with the following processes: - DICOM
- Purpose
- Capabilities
- Usage Guidelines
- When to Use
- Prerequisites
- Best Practices
- Process Integration
- Dependencies
- Configuration
- Output Artifacts
- Quality Criteria
What does the dicom-conformance-validator skill do?
DICOM conformance testing and integration skill for medical imaging systems
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill dicom-conformance-validator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.