antrophiclove
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mkdir -p .claude/commands && curl -sL https://www.antrophiclove.com/api/kaynak/test-prompt/raw -o .claude/commands/test-prompt.md

Hedef dosya: .claude/commands/test-prompt.md

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Test an AI prompt against multiple scenarios to verify consistent, quality output.

Steps

  1. Read the prompt to test (command file, CLAUDE.md rule, or inline prompt).
  2. Generate test scenarios:
    • Happy path: Standard use case with typical input.
    • Edge case: Empty input, very large input, unusual formats.
    • Ambiguous case: Input that could be interpreted multiple ways.
    • Error case: Invalid input that should produce helpful error messages.
  3. For each scenario:
    • Formulate the test input.
    • Execute the prompt with that input.
    • Evaluate the output against expected behavior.
    • Score on: accuracy, format compliance, helpfulness.
  4. Identify failure patterns:
    • Does the prompt break on certain input types?
    • Does it produce inconsistent output formats?
    • Does it hallucinate when information is missing?
  5. Suggest prompt modifications based on test results.

Format

Prompt Test Results: <prompt name>

| Scenario | Input | Result | Score |
|----------|-------|--------|-------|
| Happy path | <input> | pass | 5/5 |
| Edge case | <input> | partial | 3/5 |
| Error case | <input> | fail | 1/5 |

Overall score: <average>/5
Failure patterns: <description>
Recommendations: <improvements>

Rules

  • Test at least 5 scenarios for each prompt.
  • Include at least one adversarial input that tries to break the prompt.
  • Score consistently using the same rubric across all tests.
  • Document the exact input used so tests can be reproduced.
  • Suggest specific prompt changes for each failure, not just "improve X".