🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity such as network calls, shell execution, obfuscation, or credential harvesting. However, the metadata risk is moderately high due to the maintainer having only one package and a less active repository.

Low risk scores across all technical checks.
Moderate metadata risk due to less active maintainer.

Per-check LLM notes

Network: No network calls detected, which is normal unless the package's functionality requires external API interactions.
Shell: No shell execution detected, indicating the package does not execute system commands, which is typical and safe unless expected functionality includes system interaction.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
Credentials: No credential harvesting patterns detected, indicating low risk of malicious activities aimed at stealing secrets.
Metadata: The maintainer has only one package, and the repository is not popular, which could indicate a new or less active account.

🔬 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: acebit.se

✓ 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 "Johan Lahti" 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 acex

Your task is to create a simple yet powerful automation tool using the Python package 'acex'. This tool will serve as a personal task manager that allows users to automate repetitive tasks on their local machine or network. The application should be able to handle tasks such as file manipulation, scheduled backups, and system monitoring. Here’s a detailed breakdown of the project requirements and steps to achieve it:

1. **Project Setup**:
- Install the necessary packages including 'acex' and any additional dependencies like `schedule` for task scheduling.
- Set up a basic Flask web server to provide a user interface for managing tasks.

2. **Core Functionality**:
- Implement a feature to define custom tasks through a simple command-line interface or a web form. These tasks could include actions like copying files from one directory to another, deleting old files, or running scripts at specific times.
- Use the 'acex' package to encapsulate these tasks into automated workflows. Ensure that the workflows can be executed either immediately or scheduled for later execution.

3. **Scheduling Tasks**:
- Integrate a scheduling mechanism that allows users to specify when their tasks should run. For example, users might want to back up certain files every night at midnight.
- Provide options for recurring tasks (daily, weekly, monthly) and one-time tasks.

4. **Monitoring and Reporting**:
- Develop a logging system to track the status of each task (success, failure, errors encountered).
- Create a dashboard within the Flask app to display logs and allow users to view the history of completed tasks.

5. **Security and User Management**:
- Implement basic user authentication to ensure only authorized users can manage tasks.
- Store user credentials securely using hashing algorithms.

6. **Testing and Documentation**:
- Write unit tests to validate the functionality of your task management application.
- Document the setup process, usage instructions, and any known limitations.

Remember to leverage the 'acex' package's capabilities for automating complex workflows efficiently. Your goal is to demonstrate how 'acex' can simplify the creation of robust automation tools. Good luck!