apheris-cli

v0.54.0 safe
3.0
Low Risk

Apheris CLI package for interaction with the Apheris product.

🤖 AI Analysis

Final verdict: SAFE

The package appears safe with minimal risks identified. The absence of network calls, shell execution, and obfuscation lowers potential threat vectors.

  • No network calls detected.
  • No shell execution detected.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access to function properly.
  • Shell: No shell execution detected, indicating the package does not execute external commands, which is typical for most CLI tools.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
  • Metadata: The package shows some red flags such as lack of HTTPS for the external link and no GitHub repository, but there's no clear evidence of typosquatting or malicious intent.

📦 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

  • Detailed PyPI description (8907 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

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 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

No author email provided

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://www.apheris.com
✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "Apheris" 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 apheris-cli
Develop a Python-based mini-application named 'Apheris Dashboard' that leverages the Apheris CLI package to provide a user-friendly interface for managing Apheris products. This application will allow users to interact with Apheris services through a command-line interface, performing operations such as deploying applications, monitoring their status, scaling resources, and more.

Key Features:
1. **Deployment Management**: Users should be able to deploy new applications to Apheris using the application. The deployment process should include specifying application details like name, version, and environment configurations.
2. **Resource Scaling**: Provide functionality to scale up or down the resources allocated to deployed applications based on current load or planned capacity changes.
3. **Status Monitoring**: Implement real-time monitoring of deployed applications. This includes displaying key metrics like CPU usage, memory consumption, and network traffic.
4. **Error Handling and Logging**: Ensure that the application logs all actions taken, errors encountered during execution, and provides meaningful error messages to guide users in resolving issues.
5. **Interactive Help and Documentation**: Include a help menu that guides users through common commands and operations, as well as links to full documentation.

Utilization of 'apheris-cli':
- Use the 'apheris-cli' package to connect to Apheris services and execute commands related to deployment, scaling, and monitoring.
- Leverage the package's API to retrieve detailed information about deployed applications and their performance metrics.
- Integrate error handling mechanisms provided by 'apheris-cli' into your application to ensure robustness and reliability.

💬 Discussion Feed

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