🤖 AI Analysis

Final verdict: SAFE

The package exhibits minimal risk factors with no signs of malicious activity. However, its low maintenance level raises some concern.

Low risk in network, shell, obfuscation, and credential aspects.
Metadata suggests low maintenance effort.

Per-check LLM notes

Network: The use of httpx for network requests is common and may be legitimate for fetching resources or updates.
Shell: No shell execution patterns detected, indicating low risk.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows low maintenance and effort, which may indicate a potential risk.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

d.root async with httpx.AsyncClient(timeout=timeout) as client: if isinstance(re

✓ 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aceteam-nodes

Develop a task automation mini-app using the 'aceteam-nodes' Python package. This app will streamline the process of executing workflows locally, enhancing productivity and efficiency for daily tasks. Here’s a detailed breakdown of the requirements and features for your project:

1. **Project Name**: TaskMaster
2. **Objective**: Create a user-friendly command-line interface (CLI) application that allows users to define and execute complex workflows locally.
3. **Core Features**:
- **Workflow Definition**: Users should be able to define workflows as sequences of steps, where each step represents an action (e.g., file manipulation, system commands).
- **Local Execution**: Workflows should be executed locally on the user's machine, leveraging the power of 'aceteam-nodes' for node-based workflow management.
- **Dynamic Inputs**: Allow users to pass dynamic inputs to workflows at runtime, making the workflows more flexible and adaptable.
- **Logging & Reporting**: Implement logging to track the execution of workflows, including start/end times and any errors encountered.
4. **Implementation Steps**:
- **Setup Environment**: Install Python and the 'aceteam-nodes' package.
- **Define Workflow Nodes**: Use 'aceteam-nodes' to create and manage nodes that represent individual actions within workflows.
- **CLI Interface**: Develop a CLI tool that enables users to define workflows through simple commands or configuration files.
- **Execution Engine**: Integrate an execution engine that uses 'aceteam-nodes' to run defined workflows based on user input.
- **Error Handling & Logging**: Implement robust error handling and logging mechanisms to ensure that any issues during workflow execution are captured and reported.
5. **Example Workflow**: A sample workflow could include steps like backing up a directory, compressing it, and then sending an email notification if the backup was successful.
6. **User Guide**: Provide a comprehensive guide on how to install TaskMaster, define workflows, and execute them.
7. **Testing**: Ensure that the app is thoroughly tested with various workflows to validate its functionality and reliability.

By following these guidelines, you’ll create a powerful yet easy-to-use tool for automating repetitive tasks, making your daily work more efficient and less cumbersome.