ai-rulez

v4.3.2 safe
3.0
Low Risk

Complete AI development workflow for 19+ tools. Ships with builtin rules, agents, and conventions. Generate native configs for Claude, Cursor, Copilot, Windsurf, Gemini, Codex and more from a single source.

🤖 AI Analysis

Final verdict: SAFE

The package ai-rulez v4.3.2 shows minimal risk indicators with no network calls, no obfuscation, and no credential risks. The shell execution pattern suggests potential interaction with external binaries, but this does not necessarily imply malicious intent.

  • shell execution patterns observed
  • single package from maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network functionality.
  • Shell: Shell execution patterns suggest the package may execute external binaries, which could be legitimate but should be reviewed to ensure it's not being used maliciously.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has only one package, which could indicate a new or less active account, but no other red flags were raised.

📦 Package Quality Overall: Low (4.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://goldziher.github.io/ai-rulez/
  • Detailed PyPI description (9134 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 100 commits in Goldziher/ai-rulez
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • () try: result = subprocess.run([binary_path] + sys.argv[1:], check=False) sys.exit(
  • eturn False try: subprocess.run( [str(binary_path), "--version"], capture_output
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository Goldziher/ai-rulez appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Na'aman Hirschfeld" 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 ai-rulez 
Create a personalized code review assistant named 'CodeSage' using the Python package 'ai-rulez'. This mini-application should streamline the process of conducting code reviews by automating common tasks and providing insightful feedback.

Step 1: Define the core functionalities of CodeSage. It should include:
- Analyzing code quality based on predefined rules.
- Generating comments and suggestions for improvement.
- Integrating with popular version control systems like GitHub and GitLab.

Step 2: Utilize 'ai-rulez' to generate native configurations for multiple AI tools such as Claude, Cursor, and Copilot. These configurations will help in automating the analysis and feedback generation processes.

Step 3: Implement a user-friendly interface where developers can input their code snippets or commit hashes. CodeSage should then analyze the code, provide feedback, and suggest improvements.

Step 4: Incorporate machine learning models trained on best coding practices to enhance the quality of feedback provided by CodeSage.

Step 5: Ensure that CodeSage can be easily integrated into existing development workflows through APIs or plugins for IDEs.

By following these steps and utilizing 'ai-rulez', you'll develop a powerful tool that not only saves time but also improves the overall quality of code in software projects.