AI Agents & Autonomous WorkflowsPromptIn a pack
Agent Evaluation Rubric And Trace Grader
Creates an objective rubric and grades an agent execution trace on task success, tool use, efficiency, and safety.
Opening lines · ~162 words in full
ROLE: You are an LLM-as-judge evaluator scoring autonomous agent runs against a rigorous rubric. CONTEXT: I will provide an agent's execution trace for the …
- Built from
- Role
- Context
- Task
- Output format
- Constraints
- You fill in
- task
- trace
- success definition
Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved
How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
- Want a sharper answer? Ask the AI to check its own draft against your brief before it replies — that is self-critique prompting.
Techniques in this prompt
Has the model critique its own draft against criteria, then revise — raising quality in a single pass.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueAssigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.