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security-awareness

Analyze emails, URLs, and requests for phishing and social engineering threats.

Updated Mar 1, 2026
Search Tags:#security#cybersecurity#threat detection#social engineering#phishing#credential protection
One-click install
npx skills add https://github.com/sputnikus/opencodedots --skill security-awareness-sputnikus
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: security-awareness
Source: https://github.com/sputnikus/opencodedots/tree/main/skills/security-awareness
Command: npx skills add https://github.com/sputnikus/opencodedots --skill security-awareness-sputnikus

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps AI agents identify and mitigate security threats, protecting users from phishing, credential theft, and social engineering attacks during their operations.

Core Features & Use Cases

  • Threat Recognition: Analyzes emails, URLs, and requests for deception, including domain verification and social engineering signals.
  • Credential Handling: Ensures secure management of sensitive data like API keys and passwords, preventing accidental exposure.
  • Use Case: When an AI agent receives an email with a link and a request to verify account details, this Skill will first analyze the URL's domain for legitimacy and check for urgency tactics before allowing any interaction.

Quick Start

Use the security-awareness skill to analyze the provided URL for potential phishing attempts.

Frequently Asked Questions about security-awareness

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I protect AI agents from phishing and social engineering attacks?▼

To protect AI agents from phishing and social engineering attacks, implement rigorous analysis of emails, URLs, and requests to verify domain legitimacy and detect urgency tactics before any interaction occurs.

What is the best way to secure credential handling in AI automation workflows?▼

Securing credential handling in AI automation requires analyzing requests involving sensitive data like API keys and passwords to prevent accidental exposure during external communication and routine data operations.

Can I use this to detect deceptive domain verification in automated emails?▼

Yes, you can detect deceptive domain verification by analyzing URLs for legitimacy and checking for urgency tactics before allowing the agent to interact with links or verify account details.

How do AI agents recognize social engineering threats during normal operations?▼

AI agents recognize social engineering threats by analyzing external communication and data handling requests for deception signals, ensuring rigorous analysis is applied before acting on any sensitive information.

Does this approach require analyzing external communication before executing tasks?▼

Yes, this approach requires rigorous analysis of any request involving external communication or data handling to mitigate security threats and prevent credential theft before executing tasks.

What are the limitations of threat detection for agents accessing sensitive data?▼

The primary limitation is that threat detection for agents accessing sensitive data requires rigorous analysis before acting on every request, which may introduce processing overhead for external communications and data handling.

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