🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some signs of legitimacy but raises concerns due to the untraceable repository and a single maintainer with only one package, which may suggest potential risks.

Metadata risk due to untraceable repository
Single maintainer with only one package

Per-check LLM notes

Network: The observed network call patterns indicate legitimate HTTP interactions with an API endpoint, which is common for client libraries.
Shell: No shell execution patterns were detected.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
Metadata: The repository is not found and the maintainer has only one package, which could indicate potential risk.

📦 Package Quality Overall: Low (2.0/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 5.0

Some documentation present

Brief PyPI description (260 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

○ Low Type Annotations 1.0

No type annotations detected

No type annotations, py.typed marker, or stub files detected

○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

GitHub API error: 404

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

ngine: response = requests.get( self.base_url + url, header
ngine: response = requests.put( self.base_url + url, header
ngine: response = requests.post( self.base_url + url, header
ngine: response = requests.delete( self.base_url + url, header

✓ 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: alasxpress.com

✓ 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 2.0

1 maintainer concern(s) found

Author "Leonardo Zambra" 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 alas-ce0-client

Create a mini-application that serves as a user-friendly interface for interacting with the Alas.Ce0 project using the 'alas-ce0-client' Python package. This application will allow users to manage their tasks and projects efficiently through a command-line interface (CLI). Here are the key steps and features you need to implement:

1. **Setup and Installation**: Ensure that the 'alas-ce0-client' package is properly installed in your Python environment. Include instructions on how to install it if it's not already available.
2. **User Authentication**: Implement a login feature where users can authenticate themselves using their Alas.Ce0 credentials. Store sessions securely to maintain user logins across CLI executions.
3. **Task Management**: Allow users to create, read, update, and delete (CRUD) tasks within their Alas.Ce0 account. Each task should have attributes such as title, description, due date, priority level, and status.
4. **Project Organization**: Enable users to organize tasks into projects. Projects should have names and descriptions, and each project can contain multiple tasks.
5. **Search Functionality**: Provide a search function where users can find tasks based on keywords from titles or descriptions, or filter tasks by project, status, or due date.
6. **Notifications**: Implement a feature that sends notifications to users when tasks are due or overdue. Notifications can be configured via the CLI settings.
7. **Backup and Restore**: Add functionality to backup and restore task data locally or to a cloud storage service of the user's choice.
8. **Help and Documentation**: Include comprehensive help documentation within the CLI, accessible via commands like '--help', which explains all available commands and options.

To utilize the 'alas-ce0-client' package effectively, you'll need to familiarize yourself with its API endpoints and methods. Use these to handle authentication, CRUD operations for tasks and projects, and other interactions with the Alas.Ce0 service. Your goal is to create a seamless experience for managing tasks and projects directly from the command line.