aja-codeintel

v0.2.1 safe
4.0
Medium Risk

CodeIntel CLI tool

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risks with no network calls, obfuscation, or credential harvesting. The presence of shell execution raises some concern but appears to serve legitimate functionality. Overall, it does not strongly indicate a supply-chain attack.

  • Shell risk due to potential system command execution
  • Low activity from the maintainer's PyPI account
Per-check LLM notes
  • Network: No network calls were detected, which is not unusual and does not indicate immediate risk.
  • Shell: The presence of shell execution suggests the package may execute commands on the user's system, potentially increasing risk if the context and purpose of these executions are not clearly benign.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
  • Metadata: The maintainer has only one package on PyPI, which might indicate a new or less active account.

📦 Package Quality Overall: Low (2.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (14519 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 370 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • () try: result = subprocess.run( f'"{mvn}" compile -q --batch-mode',
  • tion: pass try: subprocess.Popen(["code", str(p)], close_fds=True); return except Except
  • artswith("win"): subprocess.Popen(["cmd","/c","start","",str(p)], close_fds=True) except
  • PATH) try: r = subprocess.run(["where", "code"], capture_output=True, text=True)
  • returncode == 0: subprocess.run(["code", str(path)], check=False) return e
  • pture_output=True, text=True, shell=True, timeout=300, ) output = result.stdout + re
✓ 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

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Shiva Areti" 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 aja-codeintel 
Create a fully-functional code intelligence assistant using the 'aja-codeintel' package in Python. This mini-application will serve as a command-line tool that enhances developers' productivity by providing real-time code insights and suggestions. The application should support multiple programming languages such as Python, JavaScript, and TypeScript. Here are the key steps and features for your project:

1. **Setup**: Begin by installing the 'aja-codeintel' package and setting up a basic command-line interface (CLI) using Python's argparse module.
2. **Language Support**: Ensure your application supports at least three different programming languages: Python, JavaScript, and TypeScript.
3. **Code Insights**: Implement functionality to analyze inputted code snippets and provide real-time insights. Use 'aja-codeintel' to generate these insights, which could include syntax highlighting, error detection, and code completion suggestions.
4. **Interactive Mode**: Develop an interactive mode where users can type in code line by line, receiving immediate feedback on syntax correctness and potential improvements.
5. **File Analysis**: Extend the application to read and analyze entire files, offering comprehensive reports on code quality and potential issues.
6. **Customization**: Allow users to customize the level of detail in the code insights, from basic syntax checks to more advanced suggestions like refactoring tips.
7. **Integration**: Consider integrating with other tools or services, such as version control systems or continuous integration platforms, to enhance its utility.
8. **Documentation**: Finally, create comprehensive documentation for your application, detailing how to install it, use its various features, and contribute to its development.

This project aims to leverage the 'aja-codeintel' package's capabilities to offer developers a powerful yet user-friendly tool for improving their coding practices.

💬 Discussion Feed

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