Agent System Prompt Auditor

Paste any system prompt and get a rules-based audit across 5 dimensions โ€” Role & Persona, Instructions, Safety & Guardrails, Output Format, and Context & Audience. Scores each dimension and suggests improvements.

Paste System Prompt

Never uploaded.0 chars ยท ~0 tokens

Audit results appear here

What makes a good system prompt?

๐ŸŽญ

Clear role definition

"You are a [specific role] that helps [specific audience] with [specific task]." Sets the persona anchor for all responses.

๐Ÿ“‹

Specific, non-conflicting instructions

Instructions should not contradict each other. Ambiguity causes inconsistent behavior. Use explicit "You may" and "You must not" lists.

๐Ÿ›ก

Safety guardrails

At least one "do not" or "never" rule prevents unintended outputs. Critical for production deployments.

๐Ÿ“ค

Output format specified

"Respond in plain text", "Return a numbered list", "Format as JSON". Without this, models choose their own format.

๐Ÿ”„

Fallback behavior defined

What should the agent say when it cannot answer? Define this explicitly to avoid hallucination at capability edges.

๐ŸŽฏ

Audience and context

Who is the agent serving? What system is it part of? Context helps the model calibrate detail level and tone.

Privacy: This tool runs entirely in your browser. Your system prompt is never uploaded or stored.

Frequently Asked Questions

What does this tool check?
It audits 5 dimensions: Role & Persona (is the assistant role defined?), Instructions (are there conflicting rules? is fallback behavior defined?), Safety & Guardrails (are disallowed behaviors specified?), Output Format (is the output format clear?), and Context & Audience (is the audience and context described?).
Why is role definition important in a system prompt?
Without a role definition, the model has no anchor for its persona. "You are a customer support assistant for..." gives the model a clear identity, which makes its responses more consistent and predictable. Missing role definitions are the most common cause of inconsistent agent behavior.
What is fallback behavior and why does it matter?
Fallback behavior defines what the agent does when it cannot answer or complete a task. Without it, models may hallucinate answers, give confusing refusals, or behave unpredictably at the edges of their capability. Good fallback: "If you are unsure, say so and suggest where the user can get help."
Is this scoring AI-generated?
No. All checks and scores are purely rules-based โ€” keyword detection, pattern matching, and structural analysis. No AI model is involved. The same input always produces the same score.
Is my system prompt uploaded anywhere?
No. This tool runs entirely in your browser. Your system prompt is never sent to any server.