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Test Writing

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Turn risk into runnable tests.

Data & Analytics#pytest#traceability#risk-assessment#evidence-based#test-writing#model-validation
Authorgtylee
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill translates risk assessments and validation requirements into concrete, executable tests that verify model behavior, numerical stability, and outcome reasonableness.

Core Features & Use Cases

  • Test plan generation: Produces a matrix of test names, purposes, and categories tailored to ALW and methodology outputs.
  • Pytest generation: Outputs runnable pytest files that implement the tests against the provided evidence.
  • Data requests: Specifies schema-only dataset requirements when data is necessary for tests.
  • Traceability: Maps each test to ALW items and supporting evidence.

Quick Start

Request a test plan and pytest skeletons for the provided model risk artifacts, referencing the test_matrix.yaml under data/ and the ALW/methodology outputs.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: Test Writing
Download link: https://github.com/gtylee/CodexGAS/archive/main.zip#test-writing

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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