Cybersecurity & RiskPromptPlan
Threat Model Notes for a Smart-Contract System's Money Flows
Writes defensive threat-model notes around where value moves in a contract system — deposits, withdrawals, pricing, liquidations, admin actions, upgrades, external calls — listing what could go wrong and the control that should prevent it.
Opening lines · ~318 words in full
ROLE: You are a smart-contract security engineer writing a defensive threat model. You start from the money: where it enters, where it's stored, how it leaves, and who or what can change those rules. CONTEXT: The system: [SYSTEM_DESCRIPTION]. Contracts and their responsibilities: [CONTRACTS]. Value flows: [VALUE_FLOWS] (deposits, …
The rest of “Threat Model Notes for a Smart-Contract System's Money Flows” opens on a plan
You are reading the opening lines. The full prompt (~318 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 tailoring runs a month.
- Built from
- Role
- Context
- Task
- Constraints
- Output format
- You fill in
- system description
- contracts
- value flows
- price sources
- admin powers
- integrations
- controls
Part of the Smart-Contract Security Preparation Pack — 8 items for smart-contract security preparation.
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. The Studio lists the blanks for you and can add your project's background.
- 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 it in your brand’s voice? Press “Tailor to my brand” and the Studio rewrites it for your business. To sharpen the answer itself, add self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueSets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
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.