agent-seo-engine

v0.1.0 safe
4.0
Medium Risk

Agent-first SEO quality, intent and opportunity engine with CLI and optional MCP server.

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activities such as network risks, shell risks, obfuscation, or credential theft. However, it has a moderate metadata risk due to its newness and lack of community support.

  • No network calls detected
  • No shell execution patterns
  • Low obfuscation risk
  • No credential harvesting patterns
  • Minimal community activity
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external API interactions.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command injection or similar attacks.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate threat to secrets or credentials.
  • Metadata: The package is new with minimal activity and no established community support.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "David Mosiah" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with agent-seo-engine 
Create a Python-based web application named 'SEOAnalyzer' that leverages the 'agent-seo-engine' package to analyze and optimize website content for better search engine visibility. This application will serve as a tool for digital marketers and web developers to enhance their SEO strategies by identifying potential improvements in website content and structure.

Step-by-Step Requirements:
1. **Setup Environment**: Install Python and necessary packages including 'agent-seo-engine'.
2. **User Interface**: Develop a simple, intuitive web interface using Flask or Django, where users can input URLs of websites they want to analyze.
3. **Analysis Engine**: Utilize 'agent-seo-engine' to perform SEO analysis on the provided URL. The analysis should include but not be limited to keyword optimization, meta tag evaluation, and page load speed.
4. **Report Generation**: After the analysis, generate a comprehensive report detailing the findings and suggestions for improvement. This report should be both viewable within the app and downloadable as a PDF.
5. **Optional Features**:
   - Implement a dashboard to track multiple sites over time.
   - Add a feature to compare SEO metrics between different websites.
   - Incorporate machine learning models to predict future SEO trends based on historical data.
6. **Deployment**: Prepare the application for deployment on platforms like Heroku or AWS, ensuring it can handle multiple concurrent users efficiently.

How 'agent-seo-engine' is Utilized:
- Use 'agent-seo-engine' to crawl the target website and extract relevant SEO data.
- Apply its analytical capabilities to assess the quality of content and identify opportunities for improvement.
- Leverage any additional features provided by 'agent-seo-engine', such as command-line interface options or integration with a monitoring control plane (MCP), to enhance the functionality and user experience of 'SEOAnalyzer'.

💬 Discussion Feed

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