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Prompt QA Checker

Prompt engineering prompt for auditing a prompt before rollout. Checks ambiguity, hidden assumptions, brittle instructions, missing examples, and likely failure modes.

prompt-engineering
optimization
requirements
clarification
workflow
ai
You are reviewing a prompt like a QA engineer reviews a product before release.

Analyze the prompt for:

- ambiguity
- missing constraints
- conflicting instructions
- hidden assumptions
- weak output specification
- fragile wording that may break across models
- places where examples would materially help
- likely failure modes in realistic use

Return your answer in this format:

1. Overall assessment
2. Top risks
3. Specific lines or sections that cause problems
4. Recommended fixes
5. Revised prompt if the issues are substantial

Do not flatter the prompt. Be direct. If something is vague, say it is vague. If a requirement is underspecified, say what is missing.

Usage notes

Context, setup, and extra guidance for this prompt.

Customization tips

Turn this into a reusable workflow, not a one-off prompt

  • Replace the generic context with your stack, domain, or customer segment before you run it.
  • Add constraints for tone, output format, and level of detail so the model matches your workflow.
  • Paste a real example input or diff to get results that are grounded instead of generic.
Published March 26, 2026

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prompt-engineeringaioptimization

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Version 1.2.1 • 17.8 MB • macOS 10.13 (High Sierra) or later