argentic

v0.16.6 suspicious
5.0
Medium Risk

(No description)

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risks due to potential shell execution and network calls, though no direct evidence of malicious activity was found. The unusual metadata raises additional concerns.

  • High shell risk
  • Potential insecure network calls
  • Unusual metadata
Per-check LLM notes
  • Network: Network calls indicate the package may be performing HTTP requests, which could be legitimate but should be reviewed to ensure endpoints are secure and necessary.
  • Shell: Shell execution suggests the package runs external commands, potentially allowing for arbitrary command execution, which is highly risky if not properly sanitized or intended.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
  • Metadata: The package shows some red flags, including an absent author name and a new maintainer account, but lacks clear signs of malicious intent.

📦 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 (15047 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

  • 243 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 score 6.0

Found 4 network call pattern(s)

  • endpoint}" async with httpx.AsyncClient(timeout=self.timeout) as client: try:
  • arg-type] async with httpx.AsyncClient() as client: try: response = awa
  • e[arg-type] with httpx.Client() as client: response = client.post(f"{self.
  • } async with httpx.AsyncClient() as client: try: response = awa
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • try: result = subprocess.run( cmd, capture_output=True, text=True, check=
✓ 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

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 argentic 
Create a small but powerful personal task manager application using the 'argentic' microframework. This application will allow users to manage their daily tasks efficiently, including adding new tasks, marking tasks as completed, and viewing their task history. The app should also support setting reminders for upcoming tasks via simple notifications. Use the 'argentic' package to streamline the development process and ensure the application runs smoothly on a local machine without any external dependencies. Here are the key steps and features for your application:

1. **Setup Project**: Initialize a new Python project and install the 'argentic' package.
2. **Task Management**: Implement functionality to add new tasks with descriptions and deadlines. Users should be able to mark tasks as completed and view a list of all tasks.
3. **Notifications**: Integrate a basic notification system that alerts users when a task deadline is approaching. Notifications could be simple print statements or more sophisticated if you choose to extend the functionality.
4. **User Interface**: Design a simple command-line interface (CLI) for interacting with the task manager. Commands like 'add', 'complete', and 'view' should be intuitive and easy to use.
5. **Persistence**: Ensure that the task data persists between sessions. You can achieve this by storing task information in a local file or database.
6. **Testing**: Write unit tests to validate the functionality of your task manager, ensuring that all commands work as expected.
7. **Documentation**: Provide clear documentation explaining how to run and use the task manager application.

Use the 'argentic' microframework to handle the underlying mechanics of your application, such as routing commands to the appropriate functions and managing state. Focus on making the task management experience seamless and user-friendly.

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