pytest-ml-tester
ML-specific testing skill using pytest with fixtures for data, models, and predictions.
npx skills add a5c-ai/babysitter --skill pytest-ml-tester --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.
# pytest-ml-tester ## Overview ML-specific testing skill using pytest with specialized fixtures for data validation, model loading, prediction testing, and ML pipeline verification. ## Capabilities - Data validation fixtures - Model loading fixtures - Prediction testing utilities - Performance regression tests - Integration test helpers - Coverage reporting for ML code - Property-based testing with Hypothesis - Parameterized test generation ## Target Processes - ML System Integration Testing - Model Evaluation and Validation Framework - Data Collection and Validation Pipeline ## Tools and Libraries - pytest - pytest-cov - hypothesis - great-expectations (optional) ## Input Schema ```json { "type": "object", "required": ["action"], "properties": { "action": { "type": "string", "enum": ["run", "generate", "coverage", "fixtures"], "description": "Testing action to perform" }, "testConfig": { "type": "object", "properties": { "testPath": { "type": "string" }, "markers": { "type": "array", "items": { "type": "string" } }, "verbose": { "type": "boolean" }, "failFast": { "type": "boolean" }, "parallel": { "type": "integer" } } }, "coverageConfig": { "type": "object", "properties": { "sour
- Overview
- Capabilities
- Target Processes
- Tools and Libraries
- Input Schema
- Output Schema
- Usage Example
What does the pytest-ml-tester skill do?
ML-specific testing skill using pytest with fixtures for data, models, and predictions.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill pytest-ml-tester --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.