agentic-commons

v0.0.0 suspicious
4.0
Medium Risk

Namespace placeholder for the official Agentic Commons Python SDK. Real release forthcoming.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package appears suspicious due to incomplete metadata and unclear purpose, despite showing low risks in terms of network activity, shell execution, and obfuscation.

  • Incomplete maintainer information
  • Lack of repository link
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external communication.
  • Shell: No shell execution patterns detected, indicating no immediate risk of unauthorized system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of being potentially malicious due to the lack of repository and incomplete maintainer information.

🔬 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

Email domain looks legitimate: agentic-commons.org>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • 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 agentic-commons 
Develop a task automation tool using the 'agentic-commons' Python package. This tool will enable users to schedule and execute various tasks such as sending emails, fetching data from APIs, and running scripts at specific times or intervals. The application should have a user-friendly interface where users can define their tasks and view the status of executed tasks.

Steps to follow:
1. Install the 'agentic-commons' package and set up a basic Python environment.
2. Design a simple UI (command-line interface) where users can input task details like task type (email sending, API fetching, script execution), time or interval for task execution, and any necessary parameters.
3. Implement task scheduling using 'agentic-commons'. Users should be able to schedule tasks for immediate execution or at a later time/datetime.
4. Integrate functionalities for task execution. For example, if the task is to send an email, use 'agentic-commons' to handle the background process of sending emails.
5. Create a feature to monitor task status. Users should be able to see whether their tasks were successful or if they failed, along with any error messages.
6. Ensure the application logs all task executions for future reference.
7. Test the application thoroughly with different types of tasks and schedules.

Suggested Features:
- Support for recurring tasks (daily, weekly).
- Email notifications for task completion or failure.
- Integration with popular cloud services for task execution.
- Ability to pause and resume task schedules.
- Detailed logging and reporting of task statuses.

How 'agentic-commons' is utilized:
- Use 'agentic-commons' for defining and managing tasks.
- Leverage 'agentic-commons' for executing tasks asynchronously.
- Employ 'agentic-commons' to schedule tasks based on user-defined timings.
- Utilize 'agentic-commons' for handling task dependencies and ensuring tasks run in the correct order.
- Apply 'agentic-commons' to manage task retries in case of failures.