Generate executable pytest tests for AI components with deterministic outputs.
npx skills add https://github.com/selcukyucel/north-starr-genai --skill ai-test-selcukyucel
Please help me install this Agent Skill. Skill: ai-test Source: https://github.com/selcukyucel/north-starr-genai/tree/main/skills/ai-test Command: npx skills add https://github.com/selcukyucel/north-starr-genai --skill ai-test-selcukyucel
Automates the creation of executable pytest tests for AI components that produce deterministic outputs, enabling fast CI checks and regression protection.
Create an example test file that asserts deterministic outputs for a representative AI component.
High-intent search queries and answers about installing and using this skill.
You generate deterministic pytest tests by automating the creation of executable assertions for AI classifications, extractions, and routing decisions. This ensures failures indicate real regressions when AI component outputs are controlled.
Deterministic AI test generation in CI/CD pipelines automates executable pytest creation for AI components with controlled outputs. It applies schema validation and markers like happy_path, edge_case, and regression to protect against behavior changes.
You can integrate generated pytest tests with existing eval suites, fixtures, and project-specific test conventions. This maximizes reuse and reduces manual writing by satisfying requirements for real imports and realistic inputs.
Pytest test generation works for AI routing and extraction regression checks by producing hard-assertion tests. These tests verify that classifications and routing decisions behave consistently when inputs and configurations are controlled.
Automating AI test generation is limited to components producing deterministic outputs. It is not suited for non-deterministic AI models where outputs vary across runs, as hard-assertion tests require controlled and predictable behavior to detect regressions.
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