amber-cli

v0.1.0 safe
2.0
Low Risk

A command-line interface for amber

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious intent or unusual behavior. The metadata risk is slightly elevated due to the package's newness and lack of community engagement, but this does not indicate a supply-chain attack.

  • No network calls detected.
  • No shell execution patterns.
  • No obfuscation or credential risks.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package is supposed to interact with external services.
  • Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package appears to be newly created with minimal activity and metadata, indicating potential low effort or inexperience.

📦 Package Quality Overall: Low (1.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ 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

Email domain looks legitimate: amberoad.ai>

✓ 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

  • Only one version has ever been released — brand new package
  • Author "Kaan Giray Buzluk" 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 amber-cli 
Create a fully-functional mini-application called 'Amber Dashboard' that integrates the 'amber-cli' package to manage Amber projects locally. This application should serve as a user-friendly interface for developers who want to streamline their workflow when working with Amber projects. Here are the steps and features to include:

1. **Project Initialization**: Allow users to initialize new Amber projects directly from the dashboard. This includes setting up all necessary configurations and dependencies required for an Amber project.
2. **Project Management**: Enable users to manage multiple Amber projects within the same dashboard. Users should be able to switch between projects, view project details, and update project configurations.
3. **Build and Deployment**: Integrate functionalities to build and deploy Amber projects using commands provided by the 'amber-cli'. Ensure that users can choose deployment targets such as local servers, cloud platforms, etc.
4. **Status Monitoring**: Implement a feature to monitor the status of Amber projects in real-time. Display information about project builds, deployments, and any ongoing processes.
5. **Interactive Shell**: Provide an interactive shell where users can run 'amber-cli' commands directly from the dashboard. This will allow advanced users to execute custom commands without leaving the dashboard.
6. **Customization Options**: Offer customization options for the dashboard UI, including themes, layout adjustments, and other visual preferences.
7. **Documentation Integration**: Integrate links to Amber documentation and tutorials directly within the dashboard to help users learn more about Amber and its capabilities.

To achieve these features, utilize the 'amber-cli' package extensively for all Amber-related operations. The application should be built using Python and should have a clean, intuitive user interface.

💬 Discussion Feed

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