software-vv-test-generator

Medical device software verification and validation test case generation skill

509 stars

Best use case

software-vv-test-generator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Medical device software verification and validation test case generation skill

Teams using software-vv-test-generator should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/software-vv-test-generator/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/biomedical-engineering/skills/software-vv-test-generator/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/software-vv-test-generator/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How software-vv-test-generator Compares

Feature / Agentsoftware-vv-test-generatorStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Medical device software verification and validation test case generation skill

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Software V&V Test Generator Skill

## Purpose

The Software V&V Test Generator Skill creates comprehensive verification and validation test cases for medical device software, ensuring requirements coverage and regulatory compliance.

## Capabilities

- Requirements-based test case derivation
- Unit test framework setup (embedded and application)
- Integration test planning
- System test protocol generation
- Test coverage analysis (statement, branch, MC/DC)
- Traceability matrix generation
- Test report templates
- Boundary value analysis
- Equivalence partitioning
- Negative testing scenarios
- Regression test suite management

## Usage Guidelines

### When to Use
- Developing software test strategies
- Creating test cases from requirements
- Analyzing test coverage
- Preparing V&V documentation

### Prerequisites
- Software requirements documented
- Safety classification determined
- Test environment defined
- Acceptance criteria established

### Best Practices
- Achieve coverage appropriate for safety class
- Test both normal and abnormal conditions
- Maintain traceability to requirements
- Automate regression testing

## Process Integration

This skill integrates with the following processes:
- Software Verification and Validation
- Software Development Lifecycle (IEC 62304)
- AI/ML Medical Device Development
- Design Control Process Implementation

## Dependencies

- pytest, GoogleTest frameworks
- LDRA, VectorCAST tools
- Test management systems
- Coverage analysis tools
- CI/CD pipelines

## Configuration

```yaml
software-vv-test-generator:
  test-levels:
    - unit
    - integration
    - system
    - acceptance
  coverage-metrics:
    - statement
    - branch
    - MC-DC
    - condition
  test-types:
    - functional
    - boundary
    - negative
    - stress
    - performance
```

## Output Artifacts

- Test case specifications
- Test procedures
- Test scripts/automation
- Coverage reports
- Traceability matrices
- Test summary reports
- Defect reports
- Regression test suites

## Quality Criteria

- Test cases traceable to requirements
- Coverage meets safety class requirements
- Boundary conditions tested
- Negative scenarios included
- Automation maximized
- Reports support regulatory submission

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