Agent Evaluation Test Suite
Generates a complete test suite for an agent — normal cases, edge cases, adversarial inputs and refusal checks — each with the expected behaviour, so you can verify before and after every change.
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Running it, start to finish
- Paste your agent's actual system prompt.
- Run the full suite before deploying.
- Re-run after every prompt change and every model update.
What you get back
The output this produces, every time.
- Generates a test per guardrail, since an untested rule is only an intention.
- Includes hallucination checks where the right answer is 'I do not know', the highest-value and most-missed category.
- Covers adversarial cases including the polite persistent attempt, which succeeds more often than a direct one.
Getting better results
Where this usually goes wrong, and how to avoid it.
- Re-run after a model update. Behaviour can change with no prompt edit at all, and this is the drift nobody watches for.
- Test near the boundary. Refusal logic rarely fails on the obvious case. It fails on the request that is only just over the line.
- Write specific pass criteria. 'Handles it well' cannot be scored consistently, which means the suite stops being a check.
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Written for The AI University. Every prompt in this library is original work — authored, tested and revised here, not collected from elsewhere. 365 of them, free with an account.