axlib

v0.1.3 safe
3.0
Low Risk

Axlib is a collection of tools and Python library for NetOps activities

🤖 AI Analysis

Final verdict: SAFE

The package axlib v0.1.3 shows minimal risk indicators with no network calls, shell executions, obfuscations, or credential risks detected. The metadata suggests a new or less active maintainer, but there are no other red flags.

  • No network calls
  • Single package from maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network interaction for its functionality.
  • Shell: No shell execution patterns detected, indicating no immediate risk of unauthorized command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate risk to secrets or credentials.
  • Metadata: The maintainer has only one package, suggesting a new or less active account, but no other red flags are present.

📦 Package Quality Overall: Medium (5.2/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/robert-patrick-texas/axlib
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 33 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 10 commits in robert-patrick-texas/axlib
  • Two distinct contributors found

🔬 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: rpatrick.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository robert-patrick-texas/axlib appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Robert Patrick" 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 axlib 
Your task is to develop a mini-application using the 'axlib' Python package, which is designed to assist Network Operations (NetOps) professionals with various tasks such as network device configuration, monitoring, and troubleshooting. Your application will be called 'NetOpsHelper' and it will serve as a command-line interface (CLI) tool for managing network devices.

Step 1: Define the Scope
- Identify common NetOps tasks that could benefit from automation, such as device configuration, status checks, and performance metrics retrieval.

Step 2: Set Up the Environment
- Install Python and the necessary dependencies including 'axlib'.
- Create a virtual environment for your project.

Step 3: Design the CLI Interface
- Plan the commands and subcommands that users will use to interact with the application.
- Ensure that the CLI supports help and version information.

Step 4: Implement Core Features Using 'axlib'
- Use 'axlib' to connect to network devices via SSH or other protocols.
- Utilize 'axlib' functions to retrieve device configurations and statuses.
- Implement features to modify device configurations through 'axlib'.
- Integrate 'axlib' for logging and error handling.

Suggested Features:
- Device discovery: Automatically discover devices on a network segment.
- Configuration backup: Backup current device configurations.
- Configuration push: Push new configurations to devices.
- Health check: Perform health checks on devices and alert if issues are found.
- Performance metrics: Retrieve and display performance metrics like CPU usage, memory usage, etc.
- Custom scripts: Allow users to run custom scripts on devices.

Step 5: Testing
- Test each feature thoroughly to ensure they work as expected.
- Include unit tests where possible to validate functionality.
- Document any bugs or limitations encountered during testing.

Step 6: Documentation
- Write comprehensive documentation for the application, including setup instructions, usage examples, and a description of all commands.
- Provide examples of how to integrate 'axlib' into other Python applications.

By the end of this project, you should have a fully functional CLI tool that leverages the capabilities of 'axlib' to streamline NetOps tasks. This tool will be valuable for network administrators looking to automate routine operations and improve efficiency.

💬 Discussion Feed

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