ai-nd-co-agent-tools

v0.7.6 suspicious
6.0
Medium Risk

Codex/Claude-backed text transformation and Kokoro TTS command-line tools.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits a moderate risk due to its high shell execution capabilities and average network interaction, despite no evidence of obfuscation or credential theft. The low metadata and credential risks do not mitigate the significant operational risks.

  • High shell risk due to execution of arbitrary commands
  • Moderate network risk from external controller interactions
Per-check LLM notes
  • Network: Network calls to external controllers may indicate legitimate remote management but also raise concerns about unauthorized communication.
  • Shell: Execution of arbitrary commands and installations suggests potential for system manipulation which could be exploited for malicious purposes.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has only one package and the repository lacks community engagement, raising some suspicion.

📦 Package Quality Overall: Medium (5.4/10)

✦ High Test Suite 9.0

Test suite present — 17 test file(s) found

  • Test runner config found: pyproject.toml
  • 17 test file(s) detected (e.g. test_agent_integration.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (9974 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

  • 319 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 54 commits in ai-nd-co/agent-tools
  • Two distinct contributors found

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • + b"\n" try: with socket.create_connection( (CONTROLLER_HOST, CONTROLLER_PORT),
  • out(timeout_seconds) with httpx.Client(timeout=timeout, transport=transport, follow_redirects=True)
  • onds, read=None) with httpx.Client( timeout=timeout, transport=self._tr
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 8.0

Found 4 shell execution pattern(s)

  • try: completed = subprocess.run( command, input=options.input_text,
  • in32" and detached else 0 subprocess.Popen( args, stdin=subprocess.DEVNULL, std
  • ) ) install_result = subprocess.run(install_command, check=False) if install_result.returnco
  • heck", "--json"] result = subprocess.run( command, capture_output=True, text=
✓ 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 2.0

1 maintainer concern(s) found

  • Author "ai-nd-co" 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-nd-co-agent-tools 
Create a user-friendly console application named 'EchoVerse' that leverages the capabilities of the 'ai-nd-co-agent-tools' package to transform text into engaging audio messages. EchoVerse will serve as a versatile tool for generating personalized voice messages based on user input. Here’s a detailed guide on how to build this application:

1. **Project Setup**: Initialize your Python environment and install the necessary packages including 'ai-nd-co-agent-tools'. Ensure you have the required dependencies installed.
2. **User Input Handling**: Design a simple interface where users can input their text message. This could include options for specifying the tone of the message (e.g., friendly, formal, urgent).
3. **Text Transformation**: Utilize the text transformation functionalities provided by 'ai-nd-co-agent-tools' to modify the user's input. This might involve adjusting the style of the text to better match the specified tone or adding personal touches.
4. **TTS Integration**: After transforming the text, use the TTS (Text-to-Speech) capabilities of the package to convert the modified text into an audio file. Users should be able to choose from different voices available in the package.
5. **Output Delivery**: Provide the option for users to either save the generated audio file locally or send it directly via email or messaging services.
6. **Enhanced Features**: Consider adding extra features such as the ability to add background music or sound effects to the audio message, or even allowing users to record their own voice and overlay it with the TTS output.
7. **Testing and Feedback**: Implement a testing phase where you can test the app with various inputs and tones to ensure smooth operation. Also, consider integrating a feedback mechanism to allow users to rate the quality of the generated messages and provide suggestions for improvement.
8. **Documentation**: Write comprehensive documentation explaining how to use EchoVerse and any customization options available. Include examples and best practices for achieving optimal results.

By following these steps, you'll create a powerful yet accessible tool that combines the strengths of 'ai-nd-co-agent-tools' to bring text messages to life in a whole new way.