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casebook

New
14GitHub TrendingGeneralby SeldomQA

Casebook is an engineering workflow for test cases in the era of AI Agents.

Summary

Casebook provides an engineering workflow for managing test cases in the era of AI Agents.

  • It helps developers organize, execute, and track test scenarios across agent-based systems, ensuring reliability and reproducibility in AI-driven development.

Install & Usage

1
Create the skills directory
mkdir -p .claude/skills
2
Download the skill file

Add the configuration to .claude/skills/casebook.md

3
Invoke in Claude Code
/casebook

Use Cases

Organize and version test cases for AI agent behaviors across different environments.
Automate regression testing for agent workflows after code or prompt changes.
Track test coverage for agent decision paths and edge cases.
Collaborate on test case definitions with your team using a shared casebook.
Generate synthetic test scenarios to validate agent robustness.
Integrate casebook with CI/CD pipelines for continuous agent testing.

Usage Examples

1

/casebook create test-suite 'agent-login' --description 'Tests for agent authentication flow'

2

/casebook run all --environment staging --tags 'critical'

3

Add a new test case for when the agent encounters a rate limit error

View source on GitHub
testingagent

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Frequently Asked Questions

What is casebook?

Casebook provides an engineering workflow for managing test cases in the era of AI Agents. It helps developers organize, execute, and track test scenarios across agent-based systems, ensuring reliability and reproducibility in AI-driven development.

How to install casebook?

To install casebook: create the skills directory (mkdir -p .claude/skills), then add the config to .claude/skills/casebook.md. Finally, /casebook in Claude Code.

What is casebook best for?

casebook is a other categorized under General. It is designed for: testing, agent. Created by SeldomQA.

What can I use casebook for?

casebook is useful for: Organize and version test cases for AI agent behaviors across different environments.; Automate regression testing for agent workflows after code or prompt changes.; Track test coverage for agent decision paths and edge cases.; Collaborate on test case definitions with your team using a shared casebook.; Generate synthetic test scenarios to validate agent robustness.; Integrate casebook with CI/CD pipelines for continuous agent testing..