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Usage Guide - Cybersecurity News Agent

🎯 Quick Start

Basic Usage (Default: Thought-Leader Style)

python agent.py

With Specific Style

# Short and punchy (40-140 words)
python agent.py short

# Thought leader (150-350 words) - DEFAULT
python agent.py thought-leader

# Technical deep-dive (80-220 words)
python agent.py technical

# Personal story angle (60-180 words)
python agent.py personal-story

📝 Post Styles Explained

1. Short (40-140 words)

Best for: Quick updates, breaking news, hot takes

Format:

• Punchy hook
• 2-4 short sentences
• Direct CTA
• 2-3 hashtags

Example use case: "Major vulnerability just dropped - need to inform network quickly"

2. Thought-Leader (150-350 words) ⭐ DEFAULT

Best for: Industry insights, trend analysis, strategic thinking

Format:

• One-line headline (5-8 words)
• 2-4 short paragraphs
• Mini-framework or example
• Concrete takeaway
• CTA
• 3-5 hashtags
• Image idea included

Example use case: "Weekly cybersecurity roundup with strategic insights"

3. Technical (80-220 words)

Best for: Engineering audience, technical analysis, tool tips

Format:

• Start with metric/result
• Method/context (high-level)
• Implications
• Practical mitigation
• CTA
• 3-4 technical hashtags

Example use case: "Deep dive for security engineers and researchers"

4. Personal-Story (60-180 words)

Best for: Lessons learned, career insights, relatable experiences

Format:

• Single-sentence scene
• Challenge + turning point
• Short lesson
• CTA
• 3 hashtags

Example use case: "Sharing a security incident response experience"

🎨 AI Image Generation

The agent now generates 3 AI image prompts for each post that you can use with:

• DALL-E (OpenAI)
• Midjourney (Discord)
• Stable Diffusion (Local/Cloud)
• Leonardo.AI (Web)
• Firefly (Adobe)

How to Use Image Prompts

1. Run the agent - it will generate 3 prompts at the end
2. Copy a prompt from the terminal or text file
3. Paste into your AI image tool
4. Generate the image
5. Download and attach to LinkedIn post

Example Image Prompt

PROMPT 1: Professional isometric 3D illustration of a digital fortress 
with glowing blue shields protecting servers, red warning symbols 
representing threats, cinematic lighting, corporate tech aesthetic, 
4K quality, trending on Artstation

📤 Complete Workflow

Step-by-Step Process

1. Start Ollama (in one terminal)

   ollama serve
   

2. Run Agent (in another terminal)

   cd /Users/kali/Codes/AI_Agent
   python agent.py thought-leader
   

3. Review Output in terminal:

   • News summary
   • AI analysis
   • Generated LinkedIn post
   • AI image prompts

4. Generate Image:

   • Go to DALL-E, Midjourney, or Stable Diffusion
   • Copy one of the 3 image prompts
   • Generate image
   • Download

5. Post to LinkedIn:

   • Open text file: linkedin_post_TIMESTAMP.txt
   • Copy the post content
   • Attach generated image
   • Publish!

📁 Output Files

After each run, you get:

1. JSON Output (output_TIMESTAMP.json)

Complete structured data:

{
  "timestamp": "20251106_143022",
  "news_count": 15,
  "news_items": [...],
  "analysis": "...",
  "linkedin_post": "...",
  "ai_image_prompts": "..."
}

2. Text File (linkedin_post_TIMESTAMP.txt)

Ready-to-copy format:

======================================================================
LINKEDIN POST
======================================================================

[Your post content here]

======================================================================
AI IMAGE PROMPTS
======================================================================

PROMPT 1: [Image prompt 1]
PROMPT 2: [Image prompt 2]
PROMPT 3: [Image prompt 3]

🛡️ Safety Features

The agent includes built-in safety rules:

✅ Never generates:

• Exploit code
• Step-by-step attack instructions
• Active vulnerability PoCs
• Credentials or PII
• Detailed attack tool configs

✅ Always provides:

• High-level security concepts
• Mitigation strategies
• Responsible disclosure focus
• Professional tone
• Safe, actionable advice

⏰ Automated Scheduling

Run Daily at 9 AM

python scheduled_agent.py

Customize Schedule

Edit scheduled_agent.py:

# Daily at 2 PM with technical style
schedule.every().day.at("14:00").do(lambda: run_agent_job("technical"))

# Every Monday at 9 AM with thought-leader style
schedule.every().monday.at("09:00").do(lambda: run_agent_job("thought-leader"))

# Every 6 hours with short style
schedule.every(6).hours.do(lambda: run_agent_job("short"))

🎯 Pro Tips

1. Mix Styles Throughout the Week

• Monday: thought-leader (big picture insights)
• Wednesday: technical (deep dive)
• Friday: short (quick round-up)

2. Review Before Posting

• Always read the generated post
• Add personal touches
• Verify facts if specific numbers are mentioned
• Adjust tone to match your brand

3. Image Selection

• Try all 3 prompts to see which image works best
• Adjust colors to match your LinkedIn brand
• Use consistent visual style across posts

4. Engagement Optimization

• Post during peak hours (8-10 AM, 12-2 PM, 5-7 PM)
• Respond to comments promptly
• Use the CTA to drive discussion

5. Content Calendar

• Run agent daily, save outputs
• Review weekly, select best posts
• Schedule posts in advance
• Track what styles perform best

🔧 Troubleshooting

Post Too Generic?

• Edit the analysis step manually
• Add specific examples from your experience
• Personalize with your insights

Image Prompts Not Working?

• Try different AI image tools
• Simplify complex prompts
• Add "professional" or "corporate" to style
• Remove overly technical terms

Style Not Quite Right?

• Mix and match: Generate multiple styles, combine best parts
• Edit the system prompt in agent.py for your preferences
• Add your personal voice in post-processing

📊 Example Output Comparison

Short Style

🚨 Chrome just patched 3 zero-days—one actively exploited.

Update now if you haven't. These aren't theoretical risks. 
Attackers are already using them.

What's your patch management process look like?

#CyberSecurity #InfoSec #ZeroDay

Thought-Leader Style

Headline: The Real Cost of Delayed Patches

Post:
This week's Chrome zero-days remind us: patch management isn't 
just IT housekeeping—it's strategic risk management.

[2-3 more paragraphs...]

CTA: How is your organization balancing patch speed vs. stability?

Hashtags: #CyberSecurity #RiskManagement #InfoSec #ZeroDay #CISO

Image idea: Split-screen showing unpatched system with red alerts 
vs. secure patched system with green checkmarks

Technical Style

Chrome patches reduced exploit surface by 47% this quarter.

The three CVEs (CVE-2025-xxxx) targeted V8 engine, WebGPU, and 
file handling. High-severity ratings justified. Priority patching 
recommended within 48 hours per CISA guidelines.

[More technical details...]

#Vulnerabilities #Patches #WebSecurity #Chrome

Personal-Story Style

I was in a security review when the Chrome zero-day alert hit.

We had 10,000 endpoints to patch. The team rallied, automated 
deployment, and covered 94% in 36 hours. Not perfect, but we 
moved fast.

Lesson: Your incident response is only as good as your 
preparation.

How do you handle emergency patches?

#CyberSecurity #IncidentResponse #InfoSec

🚀 Advanced Usage

Custom News Time Window

# Get news from last 48 hours
python -c "from agent import CyberSecurityNewsAgent; CyberSecurityNewsAgent().run(hours=48, style='technical')"

Python Integration

from agent import CyberSecurityNewsAgent

agent = CyberSecurityNewsAgent()
result = agent.run(hours=24, style="thought-leader")

# Access components
print(result['post'])
print(result['image_prompts'])
print(result['analysis'])

📞 Need Help?

• Check README.md for setup instructions
• Review error messages in terminal
• Ensure Ollama is running: ollama serve
• Verify model is installed: ollama list

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Happy posting! 🎉