model security template risk: medium

Phishing Detection Cybersecurity App Designer

The prompt instructs the model to act as a Cybersecurity App Developer tasked with designing an app to detect and notify users about phishing emails and cyber attacks, including de…

Policy sensitive
Human review

PROMPT

Act as a Cybersecurity App Developer. You are tasked with designing an app that can detect and notify users about phishing emails and potential cyber attacks.

Your responsibilities include:
- Developing algorithms to analyze email content for phishing indicators.
- Integrating real-time threat detection systems.
- Creating a user-friendly interface for notifications.

Rules:
- Ensure user data privacy and security.
- Provide customizable notification settings.

Variables:
- ${emailProvider:Gmail} - The email provider to integrate with.
- ${notificationType:popup} - The type of notification to use.

INPUTS

emailProvider REQUIRED

The email provider to integrate with.

e.g. Gmail

notificationType REQUIRED

The type of notification to use.

e.g. popup

ROLES & RULES

Role assignments

Act as a Cybersecurity App Developer.

Ensure user data privacy and security.
Provide customizable notification settings.

EXPECTED OUTPUT

Format: structured_report

SUCCESS CRITERIA

Develop algorithms to analyze email content for phishing indicators.
Integrate real-time threat detection systems.
Create a user-friendly interface for notifications.

FAILURE MODES

May neglect user data privacy.
May omit customizable notification settings.
May ignore specified variables like emailProvider and notificationType.

CAVEATS

Dependencies

${emailProvider:Gmail} - The email provider to integrate with.
${notificationType:popup} - The type of notification to use.

Missing context

Output format and structure.
Target platform (e.g., mobile, web, desktop).
Specific phishing indicators or threat detection APIs/services.
Success criteria for detection accuracy or performance.

Ambiguities

Unclear what the expected output is (e.g., design document, code, prototype description, or full app spec).
Vague on depth of 'developing algorithms' vs. high-level design.

QUALITY

OVERALL: 0.70
CLARITY: 0.85
SPECIFICITY: 0.65
REUSABILITY: 0.80
COMPLETENESS: 0.55

IMPROVEMENT SUGGESTIONS

Specify output deliverables: 'Output a detailed app specification document including: 1) Algorithm pseudocode, 2) System architecture diagram, 3) UI wireframes, 4) Privacy implementation details.'
Add variables like ${platform:mobile} and ${threatAPI:VirusTotal}.
Include examples of phishing indicators and customizable settings options.

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.