avakas

v3.0.10 safe
3.0
Low Risk

Interact with project version metadata

🤖 AI Analysis

Final verdict: SAFE

The package avakas v3.0.10 exhibits minimal risk indicators across all categories, with no network calls, shell executions, or obfuscations detected. While the metadata quality is low, there are no clear signs of malicious activity.

  • Low network and shell risk
  • No evidence of obfuscation or credential harvesting
  • Poor metadata quality but no malicious intent detected
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • Shell: No shell execution detected, indicating the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating secure handling of secrets and credentials.
  • Metadata: The package shows low effort in its metadata and authorship, but there are no clear signs of malicious intent.

📦 Package Quality Overall: Low (3.0/10)

○ 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
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 5 unique contributor(s) across 100 commits in otakup0pe/avakas
  • Active community — 5 or more distinct contributors

🔬 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository otakup0pe/avakas appears legitimate

⚠ 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 avakas 
Create a version management utility called 'VersionTracker' using Python and the 'avakas' package. This tool will help developers manage and track version information across multiple projects easily. Here’s a step-by-step guide on how to build this utility:

1. **Project Setup**: Initialize your Python project and install 'avakas'. Make sure to include it as a dependency in your `requirements.txt` file.
2. **Core Functionality**:
   - Implement functions to fetch current version metadata from a project's version control system (e.g., Git).
   - Allow users to increment versions according to semantic versioning rules (MAJOR.MINOR.PATCH).
   - Provide an option to bump specific parts of the version number (major, minor, patch).
3. **Extended Features**:
   - Integrate with GitHub API to update repository tags automatically when a new version is released.
   - Add support for reading and writing version information into a configuration file within each project directory.
4. **User Interface**:
   - Design a simple command-line interface (CLI) where users can interact with the tool.
   - Include options for displaying help messages, version information, and usage examples.
5. **Testing**:
   - Write unit tests to ensure all functionalities work correctly.
   - Use mock data for testing interactions with external APIs like GitHub.
6. **Documentation**:
   - Create a README.md file detailing installation, setup, and usage instructions.
   - Document each function and feature thoroughly.
7. **Deployment**:
   - Package the utility as a distributable Python package.
   - Publish it on PyPI for easy installation via pip.

Throughout the development process, utilize 'avakas' to handle version metadata operations such as fetching, updating, and validating version numbers. Ensure that your implementation leverages 'avakas' effectively to streamline version management tasks.

💬 Discussion Feed

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