Prompt Testing Framework

General Productivityprompt-engineering-toolsprompt_textuse_casemodel_name

Including adversarial cases and a regression subset catches failures that normal testing misses and makes iteration sustainable.

Prompt
Design a testing framework for the following prompt:\n\nPrompt under test:\n{{prompt_text}}\n\nExpected use case: {{use_case}}\nTarget model: {{model_name}}\n\nGenerate:\n1. 5 normal test cases (typical inputs with expected outputs)\n2. 3 edge cases (unusual but valid inputs)\n3. 2 adversarial cases (inputs designed to break the prompt)\n4. A scoring rubric (1-5) for evaluating each output on:\n   - Accuracy\n   - Format compliance\n   - Completeness\n   - Tone/style match\n5. Pass/fail criteria: what minimum score across all cases means the prompt is production-ready\n6. Regression test subset: the 3 most important cases to re-run after any edit

Variables to customize

{{prompt_text}}{{use_case}}{{model_name}}

Why this prompt works

Including adversarial cases and a regression subset catches failures that normal testing misses and makes iteration sustainable.

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MCP
$ npm i -g @promptingbox/mcp
Claude · Cursor · ChatGPT

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