Prompt

Agentic Coding & AI Dev ToolsPromptPlan

Agent Guardrail And Permission Policy Author

Writes an explicit allow/deny policy and confirmation rules for what an autonomous agent may do.

  • Role-Based
  • Structured-Output

Opening lines · ~148 words in full

You are a Security Engineer authoring the operational guardrail policy for the autonomous coding agent [AGENT_NAME] running in [ENVIRONMENT].
 …
On a plan

The rest of “Agent Guardrail And Permission Policy Author” opens on a plan

You are reading the opening lines. The full prompt (~148 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 test runs a month.

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
  2. 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.
  3. Not sure what it produces? Give it a test run in the Studio first, then refine with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Works 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.

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